Systems Research Group | Asia - Microsoft Research: Publications

Systems Research Group | Asia

Publications

View by:

- PipeThreader: Software-Defined Pipelining for Efficient DNN Execution
  
  Yu Cheng, Lei Wang, Yining Shi, Yuqing Xia, Lingxiao Ma, Jilong Xue, Yang Wang, Zhiwen Mo, Feiyang Chen, Fan Yang, Mao Yang, Zhi Yang
  
  OSDI | July 2025
  
  Publication
- An Empirical Study of Issues in Large Language Model Training Systems
  
  Yanjie Gao, Ruiming Lu, Haoxiang Lin, Yueguo Chen
  
  FSE 2025 | June 2025
  
  The ACM International Conference on the Foundations of Software Engineering, Industry Track
  
  DOI Project
- dl²: Detecting Communication Deadlocks in Deep Learning Jobs
  
  Yanjie Gao, Jiyu Luo, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
  
  FSE 2025 | June 2025
  
  The ACM International Conference on the Foundations of Software Engineering, Industry Track
  
  Author's Version DOI Project
- Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation
  
  Haoxiang Lin, Yang Wang, Yanjie Gao, Hongyu Zhang, Ming Wu, Mao Yang
  
  FSE 2025 | June 2025
  
  The ACM International Conference on the Foundations of Software Engineering, Ideas, Visions and Reflections Track
  
  Author's Version DOI Project
- Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoning
  
  Zenan Li, Zhaoyu Li, Wen Tang, Xian Zhang, Yuan Yao, Xujie Si, Fan Yang, Kaiyu Yang, Xiaoxing Ma
  
  ICLR | April 2025
  
  DOI Publication Publication
- Uncovering Nested Data Parallelism and Data Reuse in DNN Computation with FractalTensor
  
  Siran Liu, Chengxiang Qi, Ying Cao, Chao Yang, Weifang Hu, Xuanhua Shi, Fan Yang, Mao Yang
  
  SOSP | November 2024
  
  Publication
- Automated Proof Generation for Rust Code via Self-Evolution
  
  Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu Lahiri, Tao Xie, Lidong Zhou
  
  ICLR 2025 | October 2024
  
  Publication Project
- RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
  
  Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
  
  ENLSP NeurIPS Workshop 2024 | September 2024
  
  Best Paper Award
  
  Preprint
- DEX: Scalable Range Indexing on Disaggregated Memory
  
  Baotong Lu, Kaisong Huang, Chieh-Jan Mike Liang, Tianzheng Wang, Eric Lo
  
  VLDB (International Conference on Very Large Data Bases) | August 2024
  
  DOI
- Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation
  
  Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang
  
  OSDI 2024 | July 2024
  
  Publication Github
- nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training
  
  Zhiqi Lin, Youshan Miao, Quanlu Zhang, Fan Yang, Yi Zhu, Cheng Li, Saeed Maleki, Xu Cao, Ning Shang, Yilei Yang, Weijiang Xu, Mao Yang, Lintao Zhang, Lidong Zhou
  
  OSDI | July 2024
  
  Publication Github
- Parrot: Efficient Serving of LLM-based Applications with Semantic Variable
  
  Chaofan Lin, Zhenhua Han, Chengruidong Zhang, Yuqing Yang, Fan Yang, Chen Chen, Lili Qiu
  
  OSDI 2024 | May 2024
  
  Publication Github
- MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels
  
  Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Zheng Liu, Mingqin Li, Chuanjie Liu, Jason (Zengzhong) Li, Rangan Majumder, Jennifer Neville, Harsha Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
  
  2024 The Web Conference | May 2024
  
  Publication PDF Download
- OneSparse: A Unified System for Multi-index Vector Search
  
  Yaoqi Chen, Ruicheng Zheng, Qi Chen, Shuotao Xu, Qianxi Zhang, Xue Wu, Weihao Han, Hua Yuan, Mingqin Li, Yujing Wang, Jason Li, Fan Yang, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Mao Yang
  
  2024 The Web Conference | May 2024
  
  Publication
- An Empirical Study on Low GPU Utilization of Deep Learning Jobs
  
  Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang
  
  ICSE 2024 | April 2024
  
  The 46th International Conference on Software Engineering
  
  Author's Version DOI Project
- LitePred: Transferable and Scalable Latency Prediction for Hardware-Aware Neural Architecture Search
  
  Chengquan Feng, Li Lyna Zhang, Yuanchi Liu, Jiahang Xu, Chengruidong Zhang, Zhiyuan Wang, Ting Cao, Mao Yang, Haisheng Tan
  
  NSDI 2024 | April 2024
  
  Publication
- Amanda: Unified Instrumentation Framework for Deep Neural Networks
  
  Yue Guan, Yuxian Qiu, Jingwen Leng, Fan Yang, Shuo Yu, Yunxin Liu, Yu Feng, Yuhao Zhu, Lidong Zhou, Yun Liang, Chen Zhang, Chao Li, Minyi Guo
  
  ASPLOS | April 2024
  
  Publication
- Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted Microservices
  
  Zibo Wang, Pinghe Li, Chieh-Jan Mike Liang, Feng Wu, Francis Y. Yan
  
  NSDI (USENIX Symposium on Networked Systems Design and Implementation) | April 2024
  
  Outstanding Paper Award
  
  Publication
- PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation
  
  Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Lingxiao Ma, Yuqing Yang, Fan Yang, Chengruidong Zhang, Lili Qiu, Mao Yang, Lidong Zhou
  
  The 29th ACM Symposium on Operating Systems Principles | October 2023
  
  Publication
- SPFresh: Incremental In-Place Update for Billion-Scale Vector Search
  
  Yuming Xu, Hengyu Liang, Jin Li, Shuotao Xu, Qi Chen, Qianxi Zhang, Cheng Li , Ziyue Yang, Fan Yang, Yuqing Yang, Peng Cheng, Mao Yang
  
  SOSP’23 | October 2023
  
  Microsoft Research Blog
  
  https://www.rarnonalumber.com/en-us/research/blog/unified-database-laying-the-foundation-for-large-language-model-vertical-applications/
  
  Publication
- ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices
  
  Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang
  
  ICCV 2023 | October 2023
  
  Publication
- SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference
  
  Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang
  
  ICCV 2023 | October 2023
  
  Publication
- Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference
  
  Junyan Li, Li Lyna Zhang, Jiahang Xu, Yujing Wang, Shaoguang Yan, Yunqing Xia, Yuqing Yang, Ting Cao, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang
  
  KDD 2023 | August 2023
  
  Publication
- Optimizing Dynamic Neural Networks with Brainstorm
  
  Weihao Cui, Zhenhua Han, Lingji Ouyang, Yichuan Wang, Ningxin Zheng, Lingxiao Ma, Yuqing Yang, Fan Yang, Jilong Xue, Lili Qiu, Lidong Zhou, Quan Chen, Haisheng Tan, Minyi Guo
  
  OSDI’23 | July 2023
  
  Publication
- VBASE: Unifying Online Vector Similarity Search and Relational Queries via Relaxed Monotonicity
  
  Qianxi Zhang, Shuotao Xu, Qi Chen, Guoxin Sui, Jiadong Xie, Zhizhen Cai, Yaoqi Chen, Yinxuan He, Yuqing Yang, Fan Yang, Mao Yang, Lidong Zhou
  
  OSDI’23 | July 2023
  
  Publication
- OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization
  
  Cong Guo, Jiaming Tang, Jingwen Leng, Weiming Hu, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
  
  ISCA | June 2023
  
  PDF Project
- An Empirical Study on Quality Issues of Deep Learning Platform
  
  Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang
  
  ICSE 2023 | May 2023
  
  The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
  
  Author's Version DOI Project
- Runtime Performance Prediction for Deep Learning Models with Graph Neural Network
  
  Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang
  
  ICSE 2023 | May 2023
  
  The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
  
  Author's Version DOI Project
- SiloD: A Co-design of Caching and Scheduling for Deep Learning Clusters
  
  Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Mingxia Li, Fan Yang, Qianxi Zhang, Binyang Li, Yuqing Yang, Lili Qiu, Lintao Zhang, Lidong Zhou
  
  EuroSys 2023 | May 2023
  
  Publication
- On Modular Learning of Distributed Systems for Predicting End-to-End Latency
  
  Chieh-Jan Mike Liang, Zilin Fang, Yuqing Xie, Fan Yang, Zhao Lucis Li, Li Lyna Zhang, Mao Yang, Lidong Zhou
  
  NSDI (USENIX Symposium on Networked Systems Design and Implementation) | April 2023
  
  Publication
- ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning
  
  Diandian Gu, Yihao Zhao, Yinmin Zhong, Yifan Xiong, Zhenhua Han, Peng Cheng, Fan Yang, Gang Huang, Xin Jin, Xuanzhe Liu
  
  ASPLOS 2023 | March 2023
  
  Publication
- The Case for Learning Machine Language
  
  Guangda Liu, Chieh-Jan Mike Liang, Shijie Cao, Shuai Lu, Leendert van Doorn
  
  ML for Systems at NeurIPS | December 2022
  
  Publication
- A Neural Corpus Indexer for Document Retrieval
  
  Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Allen Sun, Weiwei Deng, Qi Zhang, Mao Yang
  
  NeurIPS 2022 | November 2022
  
  Outstanding Paper
  
  Publication
- ANT: Exploiting Adaptive Numerical Data Type for Low-Bit Deep Neural Network Quantization
  
  Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
  
  MICRO | October 2022
  
  IEEE Micro Top Picks 2023 Honorable Mention
  
  PDF
- PilotFish: Harvesting Free Cycles of Cloud Gaming with Deep Learning Training
  
  Wei Zhang , Binghao Chen, Zhenhua Han, Quan Chen, Peng Cheng, Fan Yang, Ran Shu, Yuqing Yang, Minyi Guo
  
  2022 USENIX Annual Technical Conference | July 2022
  
  PDF
- Roller: Fast and Efficient Tensor Compilation for Deep Learning
  
  Hongyu Zhu , Ruofan Wu , Yijia Diao , Shanbin Ke , Haoyu Li , Chen Zhang , Jilong Xue, Lingxiao Ma, Yuqing Xia, Wei Cui, Fan Yang, Mao Yang, Lidong Zhou, Asaf Cidon , Gennady Pekhimenko
  
  The 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI’22) | July 2022
  
  Publication Project
- SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute
  
  Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Yang Wang, Mao Yang, Lidong Zhou
  
  OSDI 2022 | July 2022
  
  Publication Project Project
- Tutel: Adaptive Mixture-of-Experts at Scale
  
  Changho Hwang, Wei Cui, Yifan Xiong, Ziyue Yang, Ze Liu, Han Hu, Zilong Wang, Rafael Salas, Jithin Jose, Prabhat Ram, Joe Chau, Peng Cheng, Fan Yang, Mao Yang, Yongqiang Xiong
  
  July 2022
  
  Publication
- Refty: Refinement Types for Valid Deep Learning Models
  
  Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
  
  ICSE 2022 | May 2022
  
  The 44th International Conference on Software Engineering
  
  Author's Version DOI Project
- Privacy-preserving Online AutoML for Domain-Specific Face Detection
  
  Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang
  
  CVPR 2022 | May 2022
  
  Publication
- Distill-VQ: Learning Retrieval Oriented Vector Quantization by Distilling Knowledge from Dense Embeddings
  
  Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie
  
  SIGIR 2022 | April 2022
  
  Publication
- SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation
  
  Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo
  
  ICLR 2022 | April 2022
  
  Publication
- GLOW: Global Weighted Self-Attention Network for Web Search
  
  Xuan Shan, Chuanjie Liu, Yiqian Xia, Qi Chen, Yusi Zhang, Kaize Ding, Yaobo Liang, Angen Luo, Yuxiang Luo
  
  2021 INTERNATIONAL CONFERENCE ON BIG DATA | November 2021
  
  Publication Publication
- SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search
  
  Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang, Mao Yang, Jingdong Wang
  
  NeurIPS 2021 | November 2021
  
  Spotlight presentation, Microsoft News: https://news.microsoft.com/source/features/innovation/bing-vector-search/
  
  Publication
- A New Approach to Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute
  
  Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Mao Yang, Lidong Zhou
  
  MSR-TR-2021-20 | August 2021
  
  Published by Microsoft
  
  Publication
- AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing
  
  Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang
  
  August 2021
  
  Published by: arXiv | August 2021
  
  Publication
- How Does Supernet Help in Neural Architecture Search?
  
  Yuge Zhang, Quanlu Zhang, Yaming Yang
  
  2nd Workshop on Neural Architecture Search at ICLR 2021 | July 2021
  
  Publication
- Resource-Guided Configuration Space Reduction for Deep Learning Models
  
  Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang
  
  ICSE 2021 | May 2021
  
  The 43rd International Conference on Software Engineering
  
  Author's Version DOI Project
- Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning
  
  Ziyan Luo, Linfeng Zhao, Wei Cheng, Sihao Chen, Qi Chen, Hui Xue, Haidong Wang, Chuanjie Liu, Mao Yang, Lintao Zhang
  
  2021 The Web Conference | April 2021
  
  DOI Publication Publication Publication
- Adaptive Page Migration Policy With Huge Pages in Tiered Memory Systems
  
  Taekyung Heo, Yang Wang, Wei Cui, Jaehyuk Huh, Lintao Zhang
  
  IEEE Transactions on Computers | November 2020, Vol 71(1): pp. 53-68
  
  DOI Publication
- Estimating GPU Memory Consumption of Deep Learning Models
  
  Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang
  
  ESEC/FSE 2020 | November 2020
  
  The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track
  
  Author's Version DOI Project
- HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees
  
  Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Fan Yang, Lidong Zhou, Mao Yang, Yuqi Wang, Yifan Xiong, Bin Wang
  
  2020 Operating Systems Design and Implementation | November 2020
  
  Publication Project
- Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks
  
  Lingxiao Ma, Zhiqiang Xie, Zhi Yang, Jilong Xue, Youshan Miao, Wei Cui, Wenxiang Hu, Fan Yang, Lintao Zhang, Lidong Zhou
  
  14th USENIX Symposium on Operating Systems Design and Implementation (OSDI’20) | November 2020
  
  Publication Project
- Retiarii: A Deep Learning Exploratory-Training Framework
  
  Quanlu Zhang, Zhenhua Han, Fan Yang, Yuge Zhang, Zhe Liu, Mao Yang, Lidong Zhou
  
  2020 Operating Systems Design and Implementation | November 2020
  
  Publication Video
- Byzantine Ordered Consensus without Byzantine Oligarchy
  
  Yunhao Zhang, Srinath Setty, Qi Chen, Lidong Zhou, Lorenzo Alvisi
  
  Operating Systems Design and Implementation (OSDI) | October 2020
  
  Jay Lepreau Best Paper Award
  
  Publication
- Estimating Minimum Operation Steps via Memory-based Recurrent Calculation Network
  
  Lei Sha, Chen Shi, Qi Chen, Lintao Zhang, Houfeng Wang
  
  2020 International Joint Conference on Neural Network | July 2020
  
  DOI Publication Publication Publication
- AutoSys: The Design and Operation of Learning-Augmented Systems
  
  Chieh-Jan Mike Liang, Hui Xue, Mao Yang, Lidong Zhou, Lifei Zhu, Zhao Lucis Li, Zibo Wang, Qi Chen, Quanlu Zhang, Chuanjie Liu, Wenjun Dai
  
  ATC (USENIX Annual Technical Conference) | July 2020
  
  Publication
- XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation
  
  Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong (YIMING), Linjun Shou (寿林钧), Daxin Jiang (姜大昕), Guihong Cao, Xiaodong Fan, Bruce Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Ming Zhou
  
  EMNLP 2020 | April 2020
  
  Publication PDF Github Github Github Project
- Capuchin: Tensor-based GPU Memory Management for Deep Learning
  
  Quan Peng, Xuanhua Shi, Hulin Dai, Hai Jin, Weiliang Ma, Qian Xiong, Fan Yang, Xuehai Qian
  
  ASPLOS | March 2020
  
  Publication Project
- Distributed Graph Computation Meets Machine Learning
  
  Wencong Xiao, Jilong Xue, Youshan Miao, Zhen Li, Cheng Chen, Ming Wu, Wei Li, Lidong Zhou
  
  IEEE Transactions on Parallel and Distributed Systems | January 2020, Vol 31(7): pp. 1588-1604
  
  Publication Project
- Collaborative Learning between Cloud and End Devices: An Empirical Study on Location Prediction
  
  Yan Lu, Yuanchao Shu, Xu Tan, Yunxin Liu, Mengyu Zhou, Qi Chen, Dan Pei
  
  ACM/IEEE Symposium on Edge Computing | November 2019
  
  Publication Project
- We Know What You Will Ask: A Dialogue System for Multi-intent Switch and Prediction
  
  Chen Shi, Qi Chen, Lei Sha, Hui Xue, Sujian Li, Lintao Zhang (lintaoz), Houfeng Wang
  
  2019 International conference natural language processing | October 2019
  
  DOI Publication Publication Publication Publication
- Accelerating Rule-matching Systems with Learned Rankers
  
  Zhao Lucis Li, Chieh-Jan Mike Liang, Wei Bai, Qiming Zheng, Yongqiang Xiong, Guangzhong Sun
  
  ATC (USENIX Annual Technical Conference) | July 2019
  
  Publication
- NeuGraph: Parallel Deep Neural Network Computation on Large Graphs
  
  Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai
  
  2019 USENIX Annual Technical Conference | July 2019
  
  Publication Project Project
- The Case for Learning-and-System Co-design
  
  Chieh-Jan Mike Liang, Hui Xue, Mao Yang, Lidong Zhou
  
  ACM SIGOPS Operating Systems Review | July 2019, Vol 53(1): pp. 68-74
  
  Publication
- Analysis of Large-Scale Multi-Tenant {GPU} Clusters for {DNN} Training Workloads
  
  Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, Junjie Qian, Wencong Xiao, Fan Yang
  
  2019 USENIX Annual Technical Conference | May 2019
  
  PDF Publication Github Project Project
- Low-Cost and Robust Geographic Opportunistic Routing in a Strip Topology Wireless Network
  
  Chen Liu, Dingyi Fang, Xinyan Liu, Dan Xu, Xiaojiang Chen, Chieh-Jan Mike Liang, Baoying Liu, Zhanyong Tang
  
  TOSN (ACM Transactions on Sensor Networks) | April 2019
  
  Publication
- Fast Clustering with Flexible Balance Constraints
  
  Hongfu Liu, Ziming Huang, Qi Chen, Mingqin Li, Yun Fu, Lintao Zhang
  
  2018 International Conference on Big Data | December 2018
  
  DOI Publication
- Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning
  
  Chen Shi, Qi Chen, Lei Shan, Sujian Li, Xu Sun, Houfeng Wang, Lintao Zhang
  
  2018 Conference on Empirical Methods in Natural Language Processing | November 2018
  
  Publication
- SDPaxos: Building Efficient Semi-Decentralized Geo-replicated State Machines
  
  Hanyu Zhao, Quanlu Zhang, Zhi Yang, Ming Wu, Yafei Dai
  
  ACM Symposium on Cloud Computing 2018 (SoCC 2018) | October 2018
  
  Publication
- Gandiva: Introspective Cluster Scheduling for Deep Learning
  
  Wencong Xiao, Romil Bhardwaj, Ramachandran Ramjee, Muthian Sivathanu, Nipun Kwatra, Zhenhua Han, Pratyush Patel, Xuan Peng, Hanyu Zhao, Quanlu Zhang, Fan Yang, Lidong Zhou
  
  13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2018) | October 2018
  
  Publication Project Project Project
- Metis: Robustly Optimizing Tail Latencies of Cloud Systems
  
  Zhao Lucis Li, Chieh-Jan Mike Liang, Wenjia He, Lianjie Zhu, Wenjun Dai, Jin Jiang, Guangzhong Sun
  
  ATC (USENIX Annual Technical Conference) | July 2018
  
  Publication
- Systematically Ensuring The Confidence of Real Time Home Automation IoT Systems
  
  Lei Bu, Wen Xiong, Chieh-Jan Mike Liang, Shi Han, Shan Lin, Dongmei Zhang, Xuandong Li
  
  TCPS (ACM Transactions on Cyber-Physical Systems) | June 2018
  
  Publication
- Multi-tenant GPU Clusters for Deep Learning Workloads: Analysis and Implications (TR)
  
  Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, Junjie Qian, Wencong Xiao, Fan Yang
  
  MSR-TR-2018-13 | May 2018
  
  Published by Microsoft
  
  Publication Github Project
- Towards Web-based Delta Synchronization for Cloud Storage Services
  
  He Xiao, Zhenhua Li, Ennan Zhai, Tianyin Xu, Yang Li, Yunhao Liu, Quanlu Zhang, Yao Liu
  
  16th USENIX Conference on File and Storage Technologies (FAST 2018) | February 2018
  
  Publication
- Characterizing Privacy Risks of Mobile Apps with Sensitivity Analysis
  
  Li Lyna Zhang, Chieh-Jan Mike Liang, Zhao Lucis Li, Yunxin Liu, Feng Zhao, Enhong Chen
  
  TMC (IEEE Transactions on Mobile Computing) | February 2018, Vol 17: pp. 279-292
  
  Publication
- Systematically Testing Background Services of Mobile Apps
  
  Li Lyna Zhang, Chieh-Jan Mike Liang, Yunxin Liu, Enhong Chen
  
  ASE (International Conference on Automated Software Engineering) | October 2017
  
  Publication
- TuX2: Distributed Graph Computation for Machine Learning
  
  Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lidong Zhou
  
  14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 17) | March 2017
  
  ISBN: 978-1-931971-37-9
  
  Publication Project Project
- TennisMaster: An IMU-based Online Serve Performance Evaluation System
  
  Disheng Yang, Jian Tang, Yang Huang, Chao Xu, Jinyang Li, Liang Hu, Jiao Zhang, Guobin Shen, Chieh-Jan Mike Liang, Hengchang Liu
  
  AH (Augmented Human) | March 2017
  
  Best Paper
  
  Publication
- Towards A Contextual and Scalable Automated-testing Service for Mobile Apps
  
  Li Lyna Zhang, Chieh-Jan Mike Liang, Wei Zhang, Enhong Chen
  
  HotMobile | February 2017
  
  Publication
- Systematically Debugging IoT Control System Correctness for Building Automation
  
  Chieh-Jan Mike Liang, Lei Bu, Zhao Lucis Li, Junbei Zhang, Shi Han, Börje F. Karlsson, Dongmei Zhang, Feng Zhao
  
  BuildSys (ACM Conference on Systems for Energy-Efficient Built Environments) | November 2016
  
  Publication
- TR-Spark: Transient Computing for Big Data Analytics
  
  Ying Yan, Yanjie Gao, Yang Chen, Zhongxin Guo, Bole Chen, Thomas Moscibroda
  
  SoCC ’16 Proceedings of the Seventh ACM Symposium on Cloud Computing | October 2016
  
  ISBN: 978-1-4503-4525-5
  
  Publication Publication
- DSwitch: a dual mode direct and network attached disk
  
  Quanlu Zhang, Yafei Dai, Lintao Zhang
  
  Sixth ACM Symposium on Cloud Computing (SoCC) | August 2015
  
  Publication
- GraM: Scaling Graph Computation to the Trillions
  
  Ming Wu, Fan Yang, Jilong Xue, Wencong Xiao, Youshan Miao, Lan Wei, Haoxiang Lin, Yafei Dai, Lidong Zhou
  
  SoCC 2015 | August 2015
  
  The 6th ACM Symposium on Cloud Computing
  
  Publication DOI Project
- Memory-Centric Data Storage for Mobile Systems
  
  Jinglei Ren, Chieh-Jan Mike Liang, Yongwei Wu, Thomas Moscibroda
  
  ATC (USENIX Annual Technical Conference) | July 2015
  
  Publication
- ImmortalGraph: A System for Storage and Analysis of Temporal Graphs
  
  Youshan Miao, Wentao Han, Kaiwei Li, Ming Wu, Vijayan Prabhakaran, Enhong Chen, Wenguang Chen, Fan Yang, Lidong Zhou
  
  ACM Transactions on Storage (TOS) | July 2015
  
  Publication Publication Project
- UStore: A Low Cost Cold and Archival Data Storage System for Data Centers
  
  Quanlu Zhang, Fengqian Li, Yafei Dai, Lintao Zhang
  
  35th IEEE International Conference on Distributed Computing Systems (ICDCS) | June 2015
  
  Publication
- SIFT: Building an Internet of Safe Things
  
  Chieh-Jan Mike Liang, Börje F. Karlsson, Nicholas D. Lane, Feng Zhao, Junbei Zhang, Zheyi Pan, Zhao Lucis Li, Yong Yu
  
  IPSN (International Conference on Information Processing in Sensor Networks) | April 2015
  
  Publication
- How to Smash the Next Billion Mobile App Bugs?
  
  Ranveer Chandra, Börje F. Karlsson, Nicholas D. Lane, Chieh-Jan Mike Liang, Suman Nath, Jitu Padhye, Lenin Ravindranath Sivalingam, Feng Zhao
  
  ACM GetMobile: Mobile Computing and Communications | January 2015, Vol 19(1)
  
  Publication Project
- Arming Cloud Services with Task Aspects
  
  Zhenyu Guo, Cheng Chen, Haoxiang Lin, Sean McDirmid, Fan Yang, Xueying Guo, Mao Yang, Lidong Zhou
  
  MSR-TR-2014-150 | November 2014
  
  Published by Microsoft
  
  Publication
- A Feasibility Study and Development Framework Design for Realizing Smartphone-based Vehicular Networking Systems
  
  Yongtae Park, Jihun Ha, Seungho Kuk, Hyogon Kim, Chieh-Jan Mike Liang, JeongGil Ko
  
  TMC (IEEE Transactions on Mobile Computing) | November 2014, Vol 99
  
  Publication
- RushNet: Practical Traffic Prioritization for Saturated Wireless Sensor Networks
  
  Chieh-Jan Mike Liang, Kaifei Chen, Bodhi Priyantha, Jie Liu, Feng Zhao
  
  SenSys (Conference on Embedded Networked Sensor Systems) | November 2014
  
  Publication
- Caiipa: Automated Large-scale Mobile App Testing through Contextual Fuzzing
  
  Chieh-Jan Mike Liang, Nicholas D. Lane, Niels Brouwers, Li Lyna Zhang, Börje F. Karlsson, Hao Liu, Yan Liu, Jun Tang, Xiang Shan, Ranveer Chandra, Feng Zhao
  
  MobiCom (International Conference on Mobile Computing and Networking) | September 2014
  
  Publication Project
- Low-Power and Topology-Free Data Transfer Protocol with Synchronous Packet Transmissions
  
  Jongsoo Jeong, Jongjun Park, Hoon Jeong, JongArm Jun, Chieh-Jan Mike Liang, JeongGil Ko
  
  SECON (Internation Conference on Sensing, Communication, and Networking) | July 2014
  
  Publication
- Chronos: A Graph Engine for Temporal Graph Analysis
  
  Wentao Han, Youshan Miao, Kaiwei Li, Ming Wu, Vijayan Prabhakaran, Wenguang Chen, Enhong Chen, Fan Yang, Lidong Zhou
  
  EuroSys | April 2014
  
  Publication Publication Publication Project
- Improving the Packet Delivery Performance for Concurrent Packet Transmissions in WSNs
  
  Jongjun Park, Jongsoo Jeong, Hoon Jeong, Chieh-Jan Mike Liang, JeongGil Ko
  
  IEEE Communications Letters | December 2013, Vol 18
  
  Publication
- Crossroads: A Framework for Developing Proximity-based Social Interactions
  
  Chieh-Jan Mike Liang, Haozhun Jin, Yang Yang, Li Lyna Zhang, Feng Zhao
  
  Mobiquitous (International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services) | December 2013
  
  Publication
- Reducing Energy Waste for Computers by Human-in-the-Loop Control
  
  Sirajum Munir, John A. Stankovic, Chieh-Jan Mike Liang, Shan Lin
  
  TETC (IEEE Transactions on Emerging Topics in Computing) | September 2013, Vol 2(4)
  
  Publication
- New Cyber Physical System Challenges for Human-in-the-Loop Control
  
  Sirajum Munir, John A. Stankovic, Chieh-Jan Mike Liang, Shan Lin
  
  Feedback Computing (International Workshop on Feedback Computing) | June 2013
  
  Publication
- Accurate Real-Time Occupant Energy-Footprinting in Commercial Buildings
  
  Yun Cheng, Kaifei Chen, Ben Zhang, Chieh-Jan Mike Liang, Xiaofan Jiang, Feng Zhao
  
  BuildSys (ACM Workshop On Embedded Systems For Energy-Efficient Buildings) | November 2012
  
  Publication Project
- A-MAC: A Versatile and Efficient Receiver-Initiated Link Layer for Low-Power Wireless
  
  Prabal Dutta, Stephen Dawson-Haggerty, Yin Chen, Chieh-Jan Mike Liang, Andreas Terzis
  
  TOSN (ACM Transactions on Sensor Networks) | September 2012, Vol 8
  
  Publication
- Design and Evaluation of a Wireless Magnetic-based Proximity Detection Platform for Indoor Applications
  
  Xiaofan (Fred) Jiang, Chieh-Jan Mike Liang, Kaifei Chen, Ben Zhang, Jeff Hsu, Jie Liu, Bin Cao, Feng Zhao
  
  IPSN (International Conference on Information Processing in Sensor Networks) | April 2012
  
  Best Demo
  
  Publication Project
- Kineograph: taking the pulse of a fast-changing and connected world
  
  Raymond Cheng, Ji Hong, Aapo Kyrola, Youshan Miao, Xuetian Weng, Ming Wu, Fan Yang, Lidong Zhou, Feng Zhao, Enhong Chen
  
  ACM Eurosys | April 2012
  
  Publication Publication Publication Project
- Sonora: A Platform for Continuous Mobile-Cloud Computing
  
  Xiuwei Chen, Ivan Beschastnikh, Li Zhuang, Fan Yang, Zhengping Qian, Lidong Zhou, Guobin Shen, Jacky Shen
  
  MSR-TR-2012-34 | March 2012
  
  Publication Publication
- ThermoCast: A Cyber-Physical Forecasting Model for Data Centers
  
  Lei Li, Chieh-Jan Mike Liang, Jie Liu, Suman Nath, Andreas Terzis, Christos Faloutsos
  
  KDD (ACM SIGKDD Conference on Knowledge Discovery and Data Mining) | August 2011
  
  Publication
- Surviving Wi-Fi Interference in Low Power ZigBee Networks
  
  Chieh-Jan Mike Liang, Bodhi Priyantha, Jie Liu, Andreas Terzis
  
  SenSys (ACM Conference on Embedded Network Sensor Systems) | November 2010
  
  Publication
- Design and Evaluation of a Versatile and Efficient Receiver-Initiated Link Layer for Low-Power Wireless
  
  Prabal Dutta, Stephen Dawson-Haggerty, Yin Chen, Chieh-Jan Mike Liang, Andreas Terzis
  
  SenSys (ACM Conference on Embedded Network Sensor Systems) | November 2010
  
  (1) Best Paper. (2) Test of Time
  
  Publication
- Rethinking Multi-Channel Protocols in Wireless Sensor Networks
  
  Chieh-Jan Mike Liang, Andreas Terzis
  
  HotEmNets (ACM Workshop on Hot Topics in Embedded Networked Sensors) | June 2010
  
  Publication
- Wireless Sensor Networks for Soil Science
  
  Andreas Terzis, Răzvan Musăloiu-E., Joshua Cogan, Katalin Szlavecz, Alexander Szalay, Jim Gray, Stuart Ozer, Chieh-Jan Mike Liang, Jayant Gupchup, Randal Burns
  
  IJSNet (International Journal of Sensor Networks) | February 2010, Vol 7
  
  Publication
- RACNet: A High-Fidelity Data Center Sensing Network
  
  Chieh-Jan Mike Liang, Jie Liu, Liqian Luo, Andreas Terzis, Feng Zhao
  
  SenSys (ACM Conference on Embedded Network Sensor Systems) | November 2009
  
  Publication
- TOSThreads: Thread-Safe and Non-Invasive Preemption in TinyOS
  
  Kevin Klues, Chieh-Jan Mike Liang, Jeongyeup Paek, Răzvan Musăloiu-E., Philip Levis, Andreas Terzis, Ramesh Govindan
  
  SenSys (ACM Conference on Embedded Network Sensor Systems) | November 2009
  
  Publication
- Project Genome: Wireless Sensor Network for Data Center Cooling
  
  Jie Liu, Feng Zhao, Jeff O'Reilly, Amaya Souarez, Michael Manos, Chieh-Jan Mike Liang, Andreas Tersiz
  
  The Architecture Journal | December 2008
  
  Publication
- Towards Discovering Data Center Genome Using Sensor Nets
  
  Jie Liu, Bodhi Priyantha, Feng Zhao, Chieh-Jan Mike Liang, Qiang Wang, Sean James
  
  HotEmNets (ACM Workshop on Hot Topics in Embedded Networked Sensors) | June 2008
  
  Publication
- Koala: Ultra-Low Power Data Retrieval in Wireless Sensor Networks
  
  Razvan Musaloiu-E, Chieh-Jan Mike Liang, Andreas Terzis
  
  IPSN (International Conference on Information Processing in Sensor Networks) | April 2008
  
  Publication
- Typhoon: A Reliable Data Dissemination Protocol for Wireless Sensor Networks
  
  Chieh-Jan Mike Liang, Andreas Terzis, Răzvan Musăloiu-E.
  
  EWSN (European Conference on Wireless Sensor Networks) | January 2008
  
  Publication
- Modeling path capacity in multi-hop IEEE 802.11 networks for QoS services
  
  Kun Wang, Fan Yang, Qian Zhang, Yinlong Xu
  
  IEEE Transactions on Wireless Communications | February 2007, Vol 6(2): pp. 738-749
  
  DOI Publication Publication Publication Publication Publication
- Distributed Channel Assignment and Routing in Multi-radio Multi-channel Multi-hop Wireless Networks
  
  Haitao Wu, Fan Yang, Kun Tan, Jie Chen, Qian Zhang, Zhensheng Zhang
  
  MSR-TR-2006-165 | November 2006
  
  Publication
- AMTP: a multipath multimedia streaming protocol for mobile ad hoc networks
  
  K. Rojviboonchai, Fan Yang, Q. Zhang, H. Aida, W. Zhu
  
  May 2005
  
  Publication Publication
- LION: Layered Overlay Multicast with Network Coding
  
  J. Zhao, Fan Yang, Q. Zhang, Zhensheng Zhang, Fuyan Zhang
  
  IEEE Transactions on Multimedia | May 2004
- End-to-End TCP-Friendly Streaming Protocol and Bit Allocation for Scalable Video over Wireless Internet
  
  Q. Zhang, F. Yang, W. Zhu, Y.-Q. Zhang, Fan Yang
  
  IEEE Journal on Selected Areas in Communications | February 2004, Vol 22(6)
  
  Publication

- PipeThreader: Software-Defined Pipelining for Efficient DNN Execution
  
  Yu Cheng, Lei Wang, Yining Shi, Yuqing Xia, Lingxiao Ma, Jilong Xue, Yang Wang, Zhiwen Mo, Feiyang Chen, Fan Yang, Mao Yang, Zhi Yang
  
  OSDI | July 2025
  
  Publication
- An Empirical Study of Issues in Large Language Model Training Systems
  
  Yanjie Gao, Ruiming Lu, Haoxiang Lin, Yueguo Chen
  
  FSE 2025 | June 2025
  
  The ACM International Conference on the Foundations of Software Engineering, Industry Track
  
  DOI Project
- Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation
  
  Haoxiang Lin, Yang Wang, Yanjie Gao, Hongyu Zhang, Ming Wu, Mao Yang
  
  FSE 2025 | June 2025
  
  The ACM International Conference on the Foundations of Software Engineering, Ideas, Visions and Reflections Track
  
  Author's Version DOI Project
- dl²: Detecting Communication Deadlocks in Deep Learning Jobs
  
  Yanjie Gao, Jiyu Luo, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
  
  FSE 2025 | June 2025
  
  The ACM International Conference on the Foundations of Software Engineering, Industry Track
  
  Author's Version DOI Project
- Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoning
  
  Zenan Li, Zhaoyu Li, Wen Tang, Xian Zhang, Yuan Yao, Xujie Si, Fan Yang, Kaiyu Yang, Xiaoxing Ma
  
  ICLR | April 2025
  
  DOI Publication Publication
- Uncovering Nested Data Parallelism and Data Reuse in DNN Computation with FractalTensor
  
  Siran Liu, Chengxiang Qi, Ying Cao, Chao Yang, Weifang Hu, Xuanhua Shi, Fan Yang, Mao Yang
  
  SOSP | November 2024
  
  Publication
- Automated Proof Generation for Rust Code via Self-Evolution
  
  Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu Lahiri, Tao Xie, Lidong Zhou
  
  ICLR 2025 | October 2024
  
  Publication Project
- RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
  
  Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
  
  ENLSP NeurIPS Workshop 2024 | September 2024
  
  Best Paper Award
  
  Preprint
- DEX: Scalable Range Indexing on Disaggregated Memory
  
  Baotong Lu, Kaisong Huang, Chieh-Jan Mike Liang, Tianzheng Wang, Eric Lo
  
  VLDB (International Conference on Very Large Data Bases) | August 2024
  
  DOI
- nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training
  
  Zhiqi Lin, Youshan Miao, Quanlu Zhang, Fan Yang, Yi Zhu, Cheng Li, Saeed Maleki, Xu Cao, Ning Shang, Yilei Yang, Weijiang Xu, Mao Yang, Lintao Zhang, Lidong Zhou
  
  OSDI | July 2024
  
  Publication Github
- Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation
  
  Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang
  
  OSDI 2024 | July 2024
  
  Publication Github
- MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels
  
  Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Zheng Liu, Mingqin Li, Chuanjie Liu, Jason (Zengzhong) Li, Rangan Majumder, Jennifer Neville, Harsha Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
  
  2024 The Web Conference | May 2024
  
  Publication PDF Download
- An Empirical Study on Low GPU Utilization of Deep Learning Jobs
  
  Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang
  
  ICSE 2024 | April 2024
  
  The 46th International Conference on Software Engineering
  
  Author's Version DOI Project
- LitePred: Transferable and Scalable Latency Prediction for Hardware-Aware Neural Architecture Search
  
  Chengquan Feng, Li Lyna Zhang, Yuanchi Liu, Jiahang Xu, Chengruidong Zhang, Zhiyuan Wang, Ting Cao, Mao Yang, Haisheng Tan
  
  NSDI 2024 | April 2024
  
  Publication
- Amanda: Unified Instrumentation Framework for Deep Neural Networks
  
  Yue Guan, Yuxian Qiu, Jingwen Leng, Fan Yang, Shuo Yu, Yunxin Liu, Yu Feng, Yuhao Zhu, Lidong Zhou, Yun Liang, Chen Zhang, Chao Li, Minyi Guo
  
  ASPLOS | April 2024
  
  Publication
- Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted Microservices
  
  Zibo Wang, Pinghe Li, Chieh-Jan Mike Liang, Feng Wu, Francis Y. Yan
  
  NSDI (USENIX Symposium on Networked Systems Design and Implementation) | April 2024
  
  Outstanding Paper Award
  
  Publication
- SPFresh: Incremental In-Place Update for Billion-Scale Vector Search
  
  Yuming Xu, Hengyu Liang, Jin Li, Shuotao Xu, Qi Chen, Qianxi Zhang, Cheng Li , Ziyue Yang, Fan Yang, Yuqing Yang, Peng Cheng, Mao Yang
  
  SOSP’23 | October 2023
  
  Microsoft Research Blog
  
  https://www.rarnonalumber.com/en-us/research/blog/unified-database-laying-the-foundation-for-large-language-model-vertical-applications/
  
  Publication
- PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation
  
  Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Lingxiao Ma, Yuqing Yang, Fan Yang, Chengruidong Zhang, Lili Qiu, Mao Yang, Lidong Zhou
  
  The 29th ACM Symposium on Operating Systems Principles | October 2023
  
  Publication
- ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices
  
  Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang
  
  ICCV 2023 | October 2023
  
  Publication
- SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference
  
  Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang
  
  ICCV 2023 | October 2023
  
  Publication
- Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference
  
  Junyan Li, Li Lyna Zhang, Jiahang Xu, Yujing Wang, Shaoguang Yan, Yunqing Xia, Yuqing Yang, Ting Cao, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang
  
  KDD 2023 | August 2023
  
  Publication
- Optimizing Dynamic Neural Networks with Brainstorm
  
  Weihao Cui, Zhenhua Han, Lingji Ouyang, Yichuan Wang, Ningxin Zheng, Lingxiao Ma, Yuqing Yang, Fan Yang, Jilong Xue, Lili Qiu, Lidong Zhou, Quan Chen, Haisheng Tan, Minyi Guo
  
  OSDI’23 | July 2023
  
  Publication
- VBASE: Unifying Online Vector Similarity Search and Relational Queries via Relaxed Monotonicity
  
  Qianxi Zhang, Shuotao Xu, Qi Chen, Guoxin Sui, Jiadong Xie, Zhizhen Cai, Yaoqi Chen, Yinxuan He, Yuqing Yang, Fan Yang, Mao Yang, Lidong Zhou
  
  OSDI’23 | July 2023
  
  Publication
- OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization
  
  Cong Guo, Jiaming Tang, Jingwen Leng, Weiming Hu, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
  
  ISCA | June 2023
  
  PDF Project
- Runtime Performance Prediction for Deep Learning Models with Graph Neural Network
  
  Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang
  
  ICSE 2023 | May 2023
  
  The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
  
  Author's Version DOI Project
- An Empirical Study on Quality Issues of Deep Learning Platform
  
  Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang
  
  ICSE 2023 | May 2023
  
  The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
  
  Author's Version DOI Project
- SiloD: A Co-design of Caching and Scheduling for Deep Learning Clusters
  
  Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Mingxia Li, Fan Yang, Qianxi Zhang, Binyang Li, Yuqing Yang, Lili Qiu, Lintao Zhang, Lidong Zhou
  
  EuroSys 2023 | May 2023
  
  Publication
- On Modular Learning of Distributed Systems for Predicting End-to-End Latency
  
  Chieh-Jan Mike Liang, Zilin Fang, Yuqing Xie, Fan Yang, Zhao Lucis Li, Li Lyna Zhang, Mao Yang, Lidong Zhou
  
  NSDI (USENIX Symposium on Networked Systems Design and Implementation) | April 2023
  
  Publication
- ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning
  
  Diandian Gu, Yihao Zhao, Yinmin Zhong, Yifan Xiong, Zhenhua Han, Peng Cheng, Fan Yang, Gang Huang, Xin Jin, Xuanzhe Liu
  
  ASPLOS 2023 | March 2023
  
  Publication
- The Case for Learning Machine Language
  
  Guangda Liu, Chieh-Jan Mike Liang, Shijie Cao, Shuai Lu, Leendert van Doorn
  
  ML for Systems at NeurIPS | December 2022
  
  Publication
- ANT: Exploiting Adaptive Numerical Data Type for Low-Bit Deep Neural Network Quantization
  
  Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
  
  MICRO | October 2022
  
  IEEE Micro Top Picks 2023 Honorable Mention
  
  PDF
- PilotFish: Harvesting Free Cycles of Cloud Gaming with Deep Learning Training
  
  Wei Zhang , Binghao Chen, Zhenhua Han, Quan Chen, Peng Cheng, Fan Yang, Ran Shu, Yuqing Yang, Minyi Guo
  
  2022 USENIX Annual Technical Conference | July 2022
  
  PDF
- Tutel: Adaptive Mixture-of-Experts at Scale
  
  Changho Hwang, Wei Cui, Yifan Xiong, Ziyue Yang, Ze Liu, Han Hu, Zilong Wang, Rafael Salas, Jithin Jose, Prabhat Ram, Joe Chau, Peng Cheng, Fan Yang, Mao Yang, Yongqiang Xiong
  
  July 2022
  
  Publication
- SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute
  
  Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Yang Wang, Mao Yang, Lidong Zhou
  
  OSDI 2022 | July 2022
  
  Publication Project Project
- Roller: Fast and Efficient Tensor Compilation for Deep Learning
  
  Hongyu Zhu , Ruofan Wu , Yijia Diao , Shanbin Ke , Haoyu Li , Chen Zhang , Jilong Xue, Lingxiao Ma, Yuqing Xia, Wei Cui, Fan Yang, Mao Yang, Lidong Zhou, Asaf Cidon , Gennady Pekhimenko
  
  The 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI’22) | July 2022
  
  Publication Project
- Refty: Refinement Types for Valid Deep Learning Models
  
  Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
  
  ICSE 2022 | May 2022
  
  The 44th International Conference on Software Engineering
  
  Author's Version DOI Project
- GLOW: Global Weighted Self-Attention Network for Web Search
  
  Xuan Shan, Chuanjie Liu, Yiqian Xia, Qi Chen, Yusi Zhang, Kaize Ding, Yaobo Liang, Angen Luo, Yuxiang Luo
  
  2021 INTERNATIONAL CONFERENCE ON BIG DATA | November 2021
  
  Publication Publication
- SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search
  
  Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang, Mao Yang, Jingdong Wang
  
  NeurIPS 2021 | November 2021
  
  Spotlight presentation, Microsoft News: https://news.microsoft.com/source/features/innovation/bing-vector-search/
  
  Publication
- A New Approach to Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute
  
  Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Mao Yang, Lidong Zhou
  
  MSR-TR-2021-20 | August 2021
  
  Published by Microsoft
  
  Publication
- Resource-Guided Configuration Space Reduction for Deep Learning Models
  
  Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang
  
  ICSE 2021 | May 2021
  
  The 43rd International Conference on Software Engineering
  
  Author's Version DOI Project
- Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning
  
  Ziyan Luo, Linfeng Zhao, Wei Cheng, Sihao Chen, Qi Chen, Hui Xue, Haidong Wang, Chuanjie Liu, Mao Yang, Lintao Zhang
  
  2021 The Web Conference | April 2021
  
  DOI Publication Publication Publication
- Adaptive Page Migration Policy With Huge Pages in Tiered Memory Systems
  
  Taekyung Heo, Yang Wang, Wei Cui, Jaehyuk Huh, Lintao Zhang
  
  IEEE Transactions on Computers | November 2020, Vol 71(1): pp. 53-68
  
  DOI Publication
- Estimating GPU Memory Consumption of Deep Learning Models
  
  Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang
  
  ESEC/FSE 2020 | November 2020
  
  The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track
  
  Author's Version DOI Project
- HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees
  
  Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Fan Yang, Lidong Zhou, Mao Yang, Yuqi Wang, Yifan Xiong, Bin Wang
  
  2020 Operating Systems Design and Implementation | November 2020
  
  Publication Project
- Retiarii: A Deep Learning Exploratory-Training Framework
  
  Quanlu Zhang, Zhenhua Han, Fan Yang, Yuge Zhang, Zhe Liu, Mao Yang, Lidong Zhou
  
  2020 Operating Systems Design and Implementation | November 2020
  
  Publication Video
- Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks
  
  Lingxiao Ma, Zhiqiang Xie, Zhi Yang, Jilong Xue, Youshan Miao, Wei Cui, Wenxiang Hu, Fan Yang, Lintao Zhang, Lidong Zhou
  
  14th USENIX Symposium on Operating Systems Design and Implementation (OSDI’20) | November 2020
  
  Publication Project
- Byzantine Ordered Consensus without Byzantine Oligarchy
  
  Yunhao Zhang, Srinath Setty, Qi Chen, Lidong Zhou, Lorenzo Alvisi
  
  Operating Systems Design and Implementation (OSDI) | October 2020
  
  Jay Lepreau Best Paper Award
  
  Publication
- Estimating Minimum Operation Steps via Memory-based Recurrent Calculation Network
  
  Lei Sha, Chen Shi, Qi Chen, Lintao Zhang, Houfeng Wang
  
  2020 International Joint Conference on Neural Network | July 2020
  
  DOI Publication Publication Publication
- AutoSys: The Design and Operation of Learning-Augmented Systems
  
  Chieh-Jan Mike Liang, Hui Xue, Mao Yang, Lidong Zhou, Lifei Zhu, Zhao Lucis Li, Zibo Wang, Qi Chen, Quanlu Zhang, Chuanjie Liu, Wenjun Dai
  
  ATC (USENIX Annual Technical Conference) | July 2020
  
  Publication
- Capuchin: Tensor-based GPU Memory Management for Deep Learning
  
  Quan Peng, Xuanhua Shi, Hulin Dai, Hai Jin, Weiliang Ma, Qian Xiong, Fan Yang, Xuehai Qian
  
  ASPLOS | March 2020
  
  Publication Project
- Distributed Graph Computation Meets Machine Learning
  
  Wencong Xiao, Jilong Xue, Youshan Miao, Zhen Li, Cheng Chen, Ming Wu, Wei Li, Lidong Zhou
  
  IEEE Transactions on Parallel and Distributed Systems | January 2020, Vol 31(7): pp. 1588-1604
  
  Publication Project
- Collaborative Learning between Cloud and End Devices: An Empirical Study on Location Prediction
  
  Yan Lu, Yuanchao Shu, Xu Tan, Yunxin Liu, Mengyu Zhou, Qi Chen, Dan Pei
  
  ACM/IEEE Symposium on Edge Computing | November 2019
  
  Publication Project
- We Know What You Will Ask: A Dialogue System for Multi-intent Switch and Prediction
  
  Chen Shi, Qi Chen, Lei Sha, Hui Xue, Sujian Li, Lintao Zhang (lintaoz), Houfeng Wang
  
  2019 International conference natural language processing | October 2019
  
  DOI Publication Publication Publication Publication
- NeuGraph: Parallel Deep Neural Network Computation on Large Graphs
  
  Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai
  
  2019 USENIX Annual Technical Conference | July 2019
  
  Publication Project Project
- Accelerating Rule-matching Systems with Learned Rankers
  
  Zhao Lucis Li, Chieh-Jan Mike Liang, Wei Bai, Qiming Zheng, Yongqiang Xiong, Guangzhong Sun
  
  ATC (USENIX Annual Technical Conference) | July 2019
  
  Publication
- The Case for Learning-and-System Co-design
  
  Chieh-Jan Mike Liang, Hui Xue, Mao Yang, Lidong Zhou
  
  ACM SIGOPS Operating Systems Review | July 2019, Vol 53(1): pp. 68-74
  
  Publication
- Analysis of Large-Scale Multi-Tenant {GPU} Clusters for {DNN} Training Workloads
  
  Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, Junjie Qian, Wencong Xiao, Fan Yang
  
  2019 USENIX Annual Technical Conference | May 2019
  
  PDF Publication Github Project Project
- Low-Cost and Robust Geographic Opportunistic Routing in a Strip Topology Wireless Network
  
  Chen Liu, Dingyi Fang, Xinyan Liu, Dan Xu, Xiaojiang Chen, Chieh-Jan Mike Liang, Baoying Liu, Zhanyong Tang
  
  TOSN (ACM Transactions on Sensor Networks) | April 2019
  
  Publication
- Fast Clustering with Flexible Balance Constraints
  
  Hongfu Liu, Ziming Huang, Qi Chen, Mingqin Li, Yun Fu, Lintao Zhang
  
  2018 International Conference on Big Data | December 2018
  
  DOI Publication
- SDPaxos: Building Efficient Semi-Decentralized Geo-replicated State Machines
  
  Hanyu Zhao, Quanlu Zhang, Zhi Yang, Ming Wu, Yafei Dai
  
  ACM Symposium on Cloud Computing 2018 (SoCC 2018) | October 2018
  
  Publication
- Gandiva: Introspective Cluster Scheduling for Deep Learning
  
  Wencong Xiao, Romil Bhardwaj, Ramachandran Ramjee, Muthian Sivathanu, Nipun Kwatra, Zhenhua Han, Pratyush Patel, Xuan Peng, Hanyu Zhao, Quanlu Zhang, Fan Yang, Lidong Zhou
  
  13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2018) | October 2018
  
  Publication Project Project Project
- Metis: Robustly Optimizing Tail Latencies of Cloud Systems
  
  Zhao Lucis Li, Chieh-Jan Mike Liang, Wenjia He, Lianjie Zhu, Wenjun Dai, Jin Jiang, Guangzhong Sun
  
  ATC (USENIX Annual Technical Conference) | July 2018
  
  Publication
- Systematically Ensuring The Confidence of Real Time Home Automation IoT Systems
  
  Lei Bu, Wen Xiong, Chieh-Jan Mike Liang, Shi Han, Shan Lin, Dongmei Zhang, Xuandong Li
  
  TCPS (ACM Transactions on Cyber-Physical Systems) | June 2018
  
  Publication
- Multi-tenant GPU Clusters for Deep Learning Workloads: Analysis and Implications (TR)
  
  Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, Junjie Qian, Wencong Xiao, Fan Yang
  
  MSR-TR-2018-13 | May 2018
  
  Published by Microsoft
  
  Publication Github Project
- Towards Web-based Delta Synchronization for Cloud Storage Services
  
  He Xiao, Zhenhua Li, Ennan Zhai, Tianyin Xu, Yang Li, Yunhao Liu, Quanlu Zhang, Yao Liu
  
  16th USENIX Conference on File and Storage Technologies (FAST 2018) | February 2018
  
  Publication
- Characterizing Privacy Risks of Mobile Apps with Sensitivity Analysis
  
  Li Lyna Zhang, Chieh-Jan Mike Liang, Zhao Lucis Li, Yunxin Liu, Feng Zhao, Enhong Chen
  
  TMC (IEEE Transactions on Mobile Computing) | February 2018, Vol 17: pp. 279-292
  
  Publication
- Systematically Testing Background Services of Mobile Apps
  
  Li Lyna Zhang, Chieh-Jan Mike Liang, Yunxin Liu, Enhong Chen
  
  ASE (International Conference on Automated Software Engineering) | October 2017
  
  Publication
- TuX2: Distributed Graph Computation for Machine Learning
  
  Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lidong Zhou
  
  14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 17) | March 2017
  
  ISBN: 978-1-931971-37-9
  
  Publication Project Project
- TennisMaster: An IMU-based Online Serve Performance Evaluation System
  
  Disheng Yang, Jian Tang, Yang Huang, Chao Xu, Jinyang Li, Liang Hu, Jiao Zhang, Guobin Shen, Chieh-Jan Mike Liang, Hengchang Liu
  
  AH (Augmented Human) | March 2017
  
  Best Paper
  
  Publication
- Towards A Contextual and Scalable Automated-testing Service for Mobile Apps
  
  Li Lyna Zhang, Chieh-Jan Mike Liang, Wei Zhang, Enhong Chen
  
  HotMobile | February 2017
  
  Publication
- Systematically Debugging IoT Control System Correctness for Building Automation
  
  Chieh-Jan Mike Liang, Lei Bu, Zhao Lucis Li, Junbei Zhang, Shi Han, Börje F. Karlsson, Dongmei Zhang, Feng Zhao
  
  BuildSys (ACM Conference on Systems for Energy-Efficient Built Environments) | November 2016
  
  Publication
- TR-Spark: Transient Computing for Big Data Analytics
  
  Ying Yan, Yanjie Gao, Yang Chen, Zhongxin Guo, Bole Chen, Thomas Moscibroda
  
  SoCC ’16 Proceedings of the Seventh ACM Symposium on Cloud Computing | October 2016
  
  ISBN: 978-1-4503-4525-5
  
  Publication Publication
- DSwitch: a dual mode direct and network attached disk
  
  Quanlu Zhang, Yafei Dai, Lintao Zhang
  
  Sixth ACM Symposium on Cloud Computing (SoCC) | August 2015
  
  Publication
- GraM: Scaling Graph Computation to the Trillions
  
  Ming Wu, Fan Yang, Jilong Xue, Wencong Xiao, Youshan Miao, Lan Wei, Haoxiang Lin, Yafei Dai, Lidong Zhou
  
  SoCC 2015 | August 2015
  
  The 6th ACM Symposium on Cloud Computing
  
  Publication DOI Project
- Memory-Centric Data Storage for Mobile Systems
  
  Jinglei Ren, Chieh-Jan Mike Liang, Yongwei Wu, Thomas Moscibroda
  
  ATC (USENIX Annual Technical Conference) | July 2015
  
  Publication
- ImmortalGraph: A System for Storage and Analysis of Temporal Graphs
  
  Youshan Miao, Wentao Han, Kaiwei Li, Ming Wu, Vijayan Prabhakaran, Enhong Chen, Wenguang Chen, Fan Yang, Lidong Zhou
  
  ACM Transactions on Storage (TOS) | July 2015
  
  Publication Publication Project
- UStore: A Low Cost Cold and Archival Data Storage System for Data Centers
  
  Quanlu Zhang, Fengqian Li, Yafei Dai, Lintao Zhang
  
  35th IEEE International Conference on Distributed Computing Systems (ICDCS) | June 2015
  
  Publication
- SIFT: Building an Internet of Safe Things
  
  Chieh-Jan Mike Liang, Börje F. Karlsson, Nicholas D. Lane, Feng Zhao, Junbei Zhang, Zheyi Pan, Zhao Lucis Li, Yong Yu
  
  IPSN (International Conference on Information Processing in Sensor Networks) | April 2015
  
  Publication
- How to Smash the Next Billion Mobile App Bugs?
  
  Ranveer Chandra, Börje F. Karlsson, Nicholas D. Lane, Chieh-Jan Mike Liang, Suman Nath, Jitu Padhye, Lenin Ravindranath Sivalingam, Feng Zhao
  
  ACM GetMobile: Mobile Computing and Communications | January 2015, Vol 19(1)
  
  Publication Project
- Arming Cloud Services with Task Aspects
  
  Zhenyu Guo, Cheng Chen, Haoxiang Lin, Sean McDirmid, Fan Yang, Xueying Guo, Mao Yang, Lidong Zhou
  
  MSR-TR-2014-150 | November 2014
  
  Published by Microsoft
  
  Publication
- RushNet: Practical Traffic Prioritization for Saturated Wireless Sensor Networks
  
  Chieh-Jan Mike Liang, Kaifei Chen, Bodhi Priyantha, Jie Liu, Feng Zhao
  
  SenSys (Conference on Embedded Networked Sensor Systems) | November 2014
  
  Publication
- A Feasibility Study and Development Framework Design for Realizing Smartphone-based Vehicular Networking Systems
  
  Yongtae Park, Jihun Ha, Seungho Kuk, Hyogon Kim, Chieh-Jan Mike Liang, JeongGil Ko
  
  TMC (IEEE Transactions on Mobile Computing) | November 2014, Vol 99
  
  Publication
- Caiipa: Automated Large-scale Mobile App Testing through Contextual Fuzzing
  
  Chieh-Jan Mike Liang, Nicholas D. Lane, Niels Brouwers, Li Lyna Zhang, Börje F. Karlsson, Hao Liu, Yan Liu, Jun Tang, Xiang Shan, Ranveer Chandra, Feng Zhao
  
  MobiCom (International Conference on Mobile Computing and Networking) | September 2014
  
  Publication Project
- Low-Power and Topology-Free Data Transfer Protocol with Synchronous Packet Transmissions
  
  Jongsoo Jeong, Jongjun Park, Hoon Jeong, JongArm Jun, Chieh-Jan Mike Liang, JeongGil Ko
  
  SECON (Internation Conference on Sensing, Communication, and Networking) | July 2014
  
  Publication
- Chronos: A Graph Engine for Temporal Graph Analysis
  
  Wentao Han, Youshan Miao, Kaiwei Li, Ming Wu, Vijayan Prabhakaran, Wenguang Chen, Enhong Chen, Fan Yang, Lidong Zhou
  
  EuroSys | April 2014
  
  Publication Publication Publication Project
- Improving the Packet Delivery Performance for Concurrent Packet Transmissions in WSNs
  
  Jongjun Park, Jongsoo Jeong, Hoon Jeong, Chieh-Jan Mike Liang, JeongGil Ko
  
  IEEE Communications Letters | December 2013, Vol 18
  
  Publication
- Crossroads: A Framework for Developing Proximity-based Social Interactions
  
  Chieh-Jan Mike Liang, Haozhun Jin, Yang Yang, Li Lyna Zhang, Feng Zhao
  
  Mobiquitous (International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services) | December 2013
  
  Publication
- Reducing Energy Waste for Computers by Human-in-the-Loop Control
  
  Sirajum Munir, John A. Stankovic, Chieh-Jan Mike Liang, Shan Lin
  
  TETC (IEEE Transactions on Emerging Topics in Computing) | September 2013, Vol 2(4)
  
  Publication
- New Cyber Physical System Challenges for Human-in-the-Loop Control
  
  Sirajum Munir, John A. Stankovic, Chieh-Jan Mike Liang, Shan Lin
  
  Feedback Computing (International Workshop on Feedback Computing) | June 2013
  
  Publication
- Accurate Real-Time Occupant Energy-Footprinting in Commercial Buildings
  
  Yun Cheng, Kaifei Chen, Ben Zhang, Chieh-Jan Mike Liang, Xiaofan Jiang, Feng Zhao
  
  BuildSys (ACM Workshop On Embedded Systems For Energy-Efficient Buildings) | November 2012
  
  Publication Project
- A-MAC: A Versatile and Efficient Receiver-Initiated Link Layer for Low-Power Wireless
  
  Prabal Dutta, Stephen Dawson-Haggerty, Yin Chen, Chieh-Jan Mike Liang, Andreas Terzis
  
  TOSN (ACM Transactions on Sensor Networks) | September 2012, Vol 8
  
  Publication
- Design and Evaluation of a Wireless Magnetic-based Proximity Detection Platform for Indoor Applications
  
  Xiaofan (Fred) Jiang, Chieh-Jan Mike Liang, Kaifei Chen, Ben Zhang, Jeff Hsu, Jie Liu, Bin Cao, Feng Zhao
  
  IPSN (International Conference on Information Processing in Sensor Networks) | April 2012
  
  Best Demo
  
  Publication Project
- Kineograph: taking the pulse of a fast-changing and connected world
  
  Raymond Cheng, Ji Hong, Aapo Kyrola, Youshan Miao, Xuetian Weng, Ming Wu, Fan Yang, Lidong Zhou, Feng Zhao, Enhong Chen
  
  ACM Eurosys | April 2012
  
  Publication Publication Publication Project
- Sonora: A Platform for Continuous Mobile-Cloud Computing
  
  Xiuwei Chen, Ivan Beschastnikh, Li Zhuang, Fan Yang, Zhengping Qian, Lidong Zhou, Guobin Shen, Jacky Shen
  
  MSR-TR-2012-34 | March 2012
  
  Publication Publication
- ThermoCast: A Cyber-Physical Forecasting Model for Data Centers
  
  Lei Li, Chieh-Jan Mike Liang, Jie Liu, Suman Nath, Andreas Terzis, Christos Faloutsos
  
  KDD (ACM SIGKDD Conference on Knowledge Discovery and Data Mining) | August 2011
  
  Publication
- Surviving Wi-Fi Interference in Low Power ZigBee Networks
  
  Chieh-Jan Mike Liang, Bodhi Priyantha, Jie Liu, Andreas Terzis
  
  SenSys (ACM Conference on Embedded Network Sensor Systems) | November 2010
  
  Publication
- Design and Evaluation of a Versatile and Efficient Receiver-Initiated Link Layer for Low-Power Wireless
  
  Prabal Dutta, Stephen Dawson-Haggerty, Yin Chen, Chieh-Jan Mike Liang, Andreas Terzis
  
  SenSys (ACM Conference on Embedded Network Sensor Systems) | November 2010
  
  (1) Best Paper. (2) Test of Time
  
  Publication
- Rethinking Multi-Channel Protocols in Wireless Sensor Networks
  
  Chieh-Jan Mike Liang, Andreas Terzis
  
  HotEmNets (ACM Workshop on Hot Topics in Embedded Networked Sensors) | June 2010
  
  Publication
- Wireless Sensor Networks for Soil Science
  
  Andreas Terzis, Răzvan Musăloiu-E., Joshua Cogan, Katalin Szlavecz, Alexander Szalay, Jim Gray, Stuart Ozer, Chieh-Jan Mike Liang, Jayant Gupchup, Randal Burns
  
  IJSNet (International Journal of Sensor Networks) | February 2010, Vol 7
  
  Publication
- RACNet: A High-Fidelity Data Center Sensing Network
  
  Chieh-Jan Mike Liang, Jie Liu, Liqian Luo, Andreas Terzis, Feng Zhao
  
  SenSys (ACM Conference on Embedded Network Sensor Systems) | November 2009
  
  Publication
- TOSThreads: Thread-Safe and Non-Invasive Preemption in TinyOS
  
  Kevin Klues, Chieh-Jan Mike Liang, Jeongyeup Paek, Răzvan Musăloiu-E., Philip Levis, Andreas Terzis, Ramesh Govindan
  
  SenSys (ACM Conference on Embedded Network Sensor Systems) | November 2009
  
  Publication
- Towards Discovering Data Center Genome Using Sensor Nets
  
  Jie Liu, Bodhi Priyantha, Feng Zhao, Chieh-Jan Mike Liang, Qiang Wang, Sean James
  
  HotEmNets (ACM Workshop on Hot Topics in Embedded Networked Sensors) | June 2008
  
  Publication
- Koala: Ultra-Low Power Data Retrieval in Wireless Sensor Networks
  
  Razvan Musaloiu-E, Chieh-Jan Mike Liang, Andreas Terzis
  
  IPSN (International Conference on Information Processing in Sensor Networks) | April 2008
  
  Publication
- Typhoon: A Reliable Data Dissemination Protocol for Wireless Sensor Networks
  
  Chieh-Jan Mike Liang, Andreas Terzis, Răzvan Musăloiu-E.
  
  EWSN (European Conference on Wireless Sensor Networks) | January 2008
  
  Publication
- Distributed Channel Assignment and Routing in Multi-radio Multi-channel Multi-hop Wireless Networks
  
  Haitao Wu, Fan Yang, Kun Tan, Jie Chen, Qian Zhang, Zhensheng Zhang
  
  MSR-TR-2006-165 | November 2006
  
  Publication
- End-to-End TCP-Friendly Streaming Protocol and Bit Allocation for Scalable Video over Wireless Internet
  
  Q. Zhang, F. Yang, W. Zhu, Y.-Q. Zhang, Fan Yang
  
  IEEE Journal on Selected Areas in Communications | February 2004, Vol 22(6)
  
  Publication
- An Empirical Study of Issues in Large Language Model Training Systems
  
  Yanjie Gao, Ruiming Lu, Haoxiang Lin, Yueguo Chen
  
  FSE 2025 | June 2025
  
  The ACM International Conference on the Foundations of Software Engineering, Industry Track
  
  DOI Project
- Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation
  
  Haoxiang Lin, Yang Wang, Yanjie Gao, Hongyu Zhang, Ming Wu, Mao Yang
  
  FSE 2025 | June 2025
  
  The ACM International Conference on the Foundations of Software Engineering, Ideas, Visions and Reflections Track
  
  Author's Version DOI Project
- dl²: Detecting Communication Deadlocks in Deep Learning Jobs
  
  Yanjie Gao, Jiyu Luo, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
  
  FSE 2025 | June 2025
  
  The ACM International Conference on the Foundations of Software Engineering, Industry Track
  
  Author's Version DOI Project
- Automated Proof Generation for Rust Code via Self-Evolution
  
  Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu Lahiri, Tao Xie, Lidong Zhou
  
  ICLR 2025 | October 2024
  
  Publication Project
- RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
  
  Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
  
  ENLSP NeurIPS Workshop 2024 | September 2024
  
  Best Paper Award
  
  Preprint
- nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training
  
  Zhiqi Lin, Youshan Miao, Quanlu Zhang, Fan Yang, Yi Zhu, Cheng Li, Saeed Maleki, Xu Cao, Ning Shang, Yilei Yang, Weijiang Xu, Mao Yang, Lintao Zhang, Lidong Zhou
  
  OSDI | July 2024
  
  Publication Github
- Parrot: Efficient Serving of LLM-based Applications with Semantic Variable
  
  Chaofan Lin, Zhenhua Han, Chengruidong Zhang, Yuqing Yang, Fan Yang, Chen Chen, Lili Qiu
  
  OSDI 2024 | May 2024
  
  Publication Github
- OneSparse: A Unified System for Multi-index Vector Search
  
  Yaoqi Chen, Ruicheng Zheng, Qi Chen, Shuotao Xu, Qianxi Zhang, Xue Wu, Weihao Han, Hua Yuan, Mingqin Li, Yujing Wang, Jason Li, Fan Yang, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Mao Yang
  
  2024 The Web Conference | May 2024
  
  Publication
- An Empirical Study on Low GPU Utilization of Deep Learning Jobs
  
  Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang
  
  ICSE 2024 | April 2024
  
  The 46th International Conference on Software Engineering
  
  Author's Version DOI Project
- Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted Microservices
  
  Zibo Wang, Pinghe Li, Chieh-Jan Mike Liang, Feng Wu, Francis Y. Yan
  
  NSDI (USENIX Symposium on Networked Systems Design and Implementation) | April 2024
  
  Outstanding Paper Award
  
  Publication
- PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation
  
  Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Lingxiao Ma, Yuqing Yang, Fan Yang, Chengruidong Zhang, Lili Qiu, Mao Yang, Lidong Zhou
  
  The 29th ACM Symposium on Operating Systems Principles | October 2023
  
  Publication
- ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices
  
  Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang
  
  ICCV 2023 | October 2023
  
  Publication
- SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference
  
  Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang
  
  ICCV 2023 | October 2023
  
  Publication
- Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference
  
  Junyan Li, Li Lyna Zhang, Jiahang Xu, Yujing Wang, Shaoguang Yan, Yunqing Xia, Yuqing Yang, Ting Cao, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang
  
  KDD 2023 | August 2023
  
  Publication
- Runtime Performance Prediction for Deep Learning Models with Graph Neural Network
  
  Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang
  
  ICSE 2023 | May 2023
  
  The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
  
  Author's Version DOI Project
- An Empirical Study on Quality Issues of Deep Learning Platform
  
  Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang
  
  ICSE 2023 | May 2023
  
  The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
  
  Author's Version DOI Project
- A Neural Corpus Indexer for Document Retrieval
  
  Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Allen Sun, Weiwei Deng, Qi Zhang, Mao Yang
  
  NeurIPS 2022 | November 2022
  
  Outstanding Paper
  
  Publication
- Refty: Refinement Types for Valid Deep Learning Models
  
  Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
  
  ICSE 2022 | May 2022
  
  The 44th International Conference on Software Engineering
  
  Author's Version DOI Project
- Distill-VQ: Learning Retrieval Oriented Vector Quantization by Distilling Knowledge from Dense Embeddings
  
  Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie
  
  SIGIR 2022 | April 2022
  
  Publication
- SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation
  
  Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo
  
  ICLR 2022 | April 2022
  
  Publication
- A New Approach to Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute
  
  Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Mao Yang, Lidong Zhou
  
  MSR-TR-2021-20 | August 2021
  
  Published by Microsoft
  
  Publication
- AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing
  
  Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang
  
  August 2021
  
  Published by: arXiv | August 2021
  
  Publication
- How Does Supernet Help in Neural Architecture Search?
  
  Yuge Zhang, Quanlu Zhang, Yaming Yang
  
  2nd Workshop on Neural Architecture Search at ICLR 2021 | July 2021
  
  Publication
- Resource-Guided Configuration Space Reduction for Deep Learning Models
  
  Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang
  
  ICSE 2021 | May 2021
  
  The 43rd International Conference on Software Engineering
  
  Author's Version DOI Project
- Estimating GPU Memory Consumption of Deep Learning Models
  
  Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang
  
  ESEC/FSE 2020 | November 2020
  
  The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track
  
  Author's Version DOI Project
- XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation
  
  Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong (YIMING), Linjun Shou (寿林钧), Daxin Jiang (姜大昕), Guihong Cao, Xiaodong Fan, Bruce Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Ming Zhou
  
  EMNLP 2020 | April 2020
  
  Publication PDF Github Github Github Project
- Collaborative Learning between Cloud and End Devices: An Empirical Study on Location Prediction
  
  Yan Lu, Yuanchao Shu, Xu Tan, Yunxin Liu, Mengyu Zhou, Qi Chen, Dan Pei
  
  ACM/IEEE Symposium on Edge Computing | November 2019
  
  Publication Project
- NeuGraph: Parallel Deep Neural Network Computation on Large Graphs
  
  Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai
  
  2019 USENIX Annual Technical Conference | July 2019
  
  Publication Project Project
- Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning
  
  Chen Shi, Qi Chen, Lei Shan, Sujian Li, Xu Sun, Houfeng Wang, Lintao Zhang
  
  2018 Conference on Empirical Methods in Natural Language Processing | November 2018
  
  Publication
- An Empirical Study of Issues in Large Language Model Training Systems
  
  Yanjie Gao, Ruiming Lu, Haoxiang Lin, Yueguo Chen
  
  FSE 2025 | June 2025
  
  The ACM International Conference on the Foundations of Software Engineering, Industry Track
  
  DOI Project
- Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation
  
  Haoxiang Lin, Yang Wang, Yanjie Gao, Hongyu Zhang, Ming Wu, Mao Yang
  
  FSE 2025 | June 2025
  
  The ACM International Conference on the Foundations of Software Engineering, Ideas, Visions and Reflections Track
  
  Author's Version DOI Project
- dl²: Detecting Communication Deadlocks in Deep Learning Jobs
  
  Yanjie Gao, Jiyu Luo, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
  
  FSE 2025 | June 2025
  
  The ACM International Conference on the Foundations of Software Engineering, Industry Track
  
  Author's Version DOI Project
- Automated Proof Generation for Rust Code via Self-Evolution
  
  Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu Lahiri, Tao Xie, Lidong Zhou
  
  ICLR 2025 | October 2024
  
  Publication Project
- An Empirical Study on Low GPU Utilization of Deep Learning Jobs
  
  Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang
  
  ICSE 2024 | April 2024
  
  The 46th International Conference on Software Engineering
  
  Author's Version DOI Project
- Runtime Performance Prediction for Deep Learning Models with Graph Neural Network
  
  Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang
  
  ICSE 2023 | May 2023
  
  The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
  
  Author's Version DOI Project
- An Empirical Study on Quality Issues of Deep Learning Platform
  
  Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang
  
  ICSE 2023 | May 2023
  
  The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
  
  Author's Version DOI Project
- Refty: Refinement Types for Valid Deep Learning Models
  
  Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
  
  ICSE 2022 | May 2022
  
  The 44th International Conference on Software Engineering
  
  Author's Version DOI Project
- Resource-Guided Configuration Space Reduction for Deep Learning Models
  
  Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang
  
  ICSE 2021 | May 2021
  
  The 43rd International Conference on Software Engineering
  
  Author's Version DOI Project
- Estimating GPU Memory Consumption of Deep Learning Models
  
  Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang
  
  ESEC/FSE 2020 | November 2020
  
  The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track
  
  Author's Version DOI Project
- Arming Cloud Services with Task Aspects
  
  Zhenyu Guo, Cheng Chen, Haoxiang Lin, Sean McDirmid, Fan Yang, Xueying Guo, Mao Yang, Lidong Zhou
  
  MSR-TR-2014-150 | November 2014
  
  Published by Microsoft
  
  Publication
- RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
  
  Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
  
  ENLSP NeurIPS Workshop 2024 | September 2024
  
  Best Paper Award
  
  Preprint
- XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation
  
  Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong (YIMING), Linjun Shou (寿林钧), Daxin Jiang (姜大昕), Guihong Cao, Xiaodong Fan, Bruce Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Ming Zhou
  
  EMNLP 2020 | April 2020
  
  Publication PDF Github Github Github Project
- MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels
  
  Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Zheng Liu, Mingqin Li, Chuanjie Liu, Jason (Zengzhong) Li, Rangan Majumder, Jennifer Neville, Harsha Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
  
  2024 The Web Conference | May 2024
  
  Publication PDF Download
- GLOW: Global Weighted Self-Attention Network for Web Search
  
  Xuan Shan, Chuanjie Liu, Yiqian Xia, Qi Chen, Yusi Zhang, Kaize Ding, Yaobo Liang, Angen Luo, Yuxiang Luo
  
  2021 INTERNATIONAL CONFERENCE ON BIG DATA | November 2021
  
  Publication Publication
- SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search
  
  Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang, Mao Yang, Jingdong Wang
  
  NeurIPS 2021 | November 2021
  
  Spotlight presentation, Microsoft News: https://news.microsoft.com/source/features/innovation/bing-vector-search/
  
  Publication
- Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning
  
  Ziyan Luo, Linfeng Zhao, Wei Cheng, Sihao Chen, Qi Chen, Hui Xue, Haidong Wang, Chuanjie Liu, Mao Yang, Lintao Zhang
  
  2021 The Web Conference | April 2021
  
  DOI Publication Publication Publication
- Privacy-preserving Online AutoML for Domain-Specific Face Detection
  
  Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang
  
  CVPR 2022 | May 2022
  
  Publication
- Byzantine Ordered Consensus without Byzantine Oligarchy
  
  Yunhao Zhang, Srinath Setty, Qi Chen, Lidong Zhou, Lorenzo Alvisi
  
  Operating Systems Design and Implementation (OSDI) | October 2020
  
  Jay Lepreau Best Paper Award
  
  Publication
- Design and Evaluation of a Wireless Magnetic-based Proximity Detection Platform for Indoor Applications
  
  Xiaofan (Fred) Jiang, Chieh-Jan Mike Liang, Kaifei Chen, Ben Zhang, Jeff Hsu, Jie Liu, Bin Cao, Feng Zhao
  
  IPSN (International Conference on Information Processing in Sensor Networks) | April 2012
  
  Best Demo
  
  Publication Project
- Design and Evaluation of a Wireless Magnetic-based Proximity Detection Platform for Indoor Applications
  
  Xiaofan (Fred) Jiang, Chieh-Jan Mike Liang, Kaifei Chen, Ben Zhang, Jeff Hsu, Jie Liu, Bin Cao, Feng Zhao
  
  IPSN (International Conference on Information Processing in Sensor Networks) | April 2012
  
  Best Demo
  
  Publication Project
- Project Genome: Wireless Sensor Network for Data Center Cooling
  
  Jie Liu, Feng Zhao, Jeff O'Reilly, Amaya Souarez, Michael Manos, Chieh-Jan Mike Liang, Andreas Tersiz
  
  The Architecture Journal | December 2008
  
  Publication
- Modeling path capacity in multi-hop IEEE 802.11 networks for QoS services
  
  Kun Wang, Fan Yang, Qian Zhang, Yinlong Xu
  
  IEEE Transactions on Wireless Communications | February 2007, Vol 6(2): pp. 738-749
  
  DOI Publication Publication Publication Publication Publication
- AMTP: a multipath multimedia streaming protocol for mobile ad hoc networks
  
  K. Rojviboonchai, Fan Yang, Q. Zhang, H. Aida, W. Zhu
  
  May 2005
  
  Publication Publication
- LION: Layered Overlay Multicast with Network Coding
  
  J. Zhao, Fan Yang, Q. Zhang, Zhensheng Zhang, Fuyan Zhang
  
  IEEE Transactions on Multimedia | May 2004

- PipeThreader: Software-Defined Pipelining for Efficient DNN Execution
  
  Yu Cheng, Lei Wang, Yining Shi, Yuqing Xia, Lingxiao Ma, Jilong Xue, Yang Wang, Zhiwen Mo, Feiyang Chen, Fan Yang, Mao Yang, Zhi Yang
  
  OSDI | July 2025
  
  Publication
- An Empirical Study of Issues in Large Language Model Training Systems
  
  Yanjie Gao, Ruiming Lu, Haoxiang Lin, Yueguo Chen
  
  FSE 2025 | June 2025
  
  The ACM International Conference on the Foundations of Software Engineering, Industry Track
  
  DOI Project
- Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation
  
  Haoxiang Lin, Yang Wang, Yanjie Gao, Hongyu Zhang, Ming Wu, Mao Yang
  
  FSE 2025 | June 2025
  
  The ACM International Conference on the Foundations of Software Engineering, Ideas, Visions and Reflections Track
  
  Author's Version DOI Project
- dl²: Detecting Communication Deadlocks in Deep Learning Jobs
  
  Yanjie Gao, Jiyu Luo, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
  
  FSE 2025 | June 2025
  
  The ACM International Conference on the Foundations of Software Engineering, Industry Track
  
  Author's Version DOI Project
- Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoning
  
  Zenan Li, Zhaoyu Li, Wen Tang, Xian Zhang, Yuan Yao, Xujie Si, Fan Yang, Kaiyu Yang, Xiaoxing Ma
  
  ICLR | April 2025
  
  DOI Publication Publication
- Uncovering Nested Data Parallelism and Data Reuse in DNN Computation with FractalTensor
  
  Siran Liu, Chengxiang Qi, Ying Cao, Chao Yang, Weifang Hu, Xuanhua Shi, Fan Yang, Mao Yang
  
  SOSP | November 2024
  
  Publication
- Automated Proof Generation for Rust Code via Self-Evolution
  
  Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu Lahiri, Tao Xie, Lidong Zhou
  
  ICLR 2025 | October 2024
  
  Publication Project
- RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
  
  Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
  
  ENLSP NeurIPS Workshop 2024 | September 2024
  
  Best Paper Award
  
  Preprint
- DEX: Scalable Range Indexing on Disaggregated Memory
  
  Baotong Lu, Kaisong Huang, Chieh-Jan Mike Liang, Tianzheng Wang, Eric Lo
  
  VLDB (International Conference on Very Large Data Bases) | August 2024
  
  DOI
- nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training
  
  Zhiqi Lin, Youshan Miao, Quanlu Zhang, Fan Yang, Yi Zhu, Cheng Li, Saeed Maleki, Xu Cao, Ning Shang, Yilei Yang, Weijiang Xu, Mao Yang, Lintao Zhang, Lidong Zhou
  
  OSDI | July 2024
  
  Publication Github
- Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation
  
  Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang
  
  OSDI 2024 | July 2024
  
  Publication Github
- Parrot: Efficient Serving of LLM-based Applications with Semantic Variable
  
  Chaofan Lin, Zhenhua Han, Chengruidong Zhang, Yuqing Yang, Fan Yang, Chen Chen, Lili Qiu
  
  OSDI 2024 | May 2024
  
  Publication Github
- MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels
  
  Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Zheng Liu, Mingqin Li, Chuanjie Liu, Jason (Zengzhong) Li, Rangan Majumder, Jennifer Neville, Harsha Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
  
  2024 The Web Conference | May 2024
  
  Publication PDF Download
- OneSparse: A Unified System for Multi-index Vector Search
  
  Yaoqi Chen, Ruicheng Zheng, Qi Chen, Shuotao Xu, Qianxi Zhang, Xue Wu, Weihao Han, Hua Yuan, Mingqin Li, Yujing Wang, Jason Li, Fan Yang, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Mao Yang
  
  2024 The Web Conference | May 2024
  
  Publication
- An Empirical Study on Low GPU Utilization of Deep Learning Jobs
  
  Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang
  
  ICSE 2024 | April 2024
  
  The 46th International Conference on Software Engineering
  
  Author's Version DOI Project
- LitePred: Transferable and Scalable Latency Prediction for Hardware-Aware Neural Architecture Search
  
  Chengquan Feng, Li Lyna Zhang, Yuanchi Liu, Jiahang Xu, Chengruidong Zhang, Zhiyuan Wang, Ting Cao, Mao Yang, Haisheng Tan
  
  NSDI 2024 | April 2024
  
  Publication
- Amanda: Unified Instrumentation Framework for Deep Neural Networks
  
  Yue Guan, Yuxian Qiu, Jingwen Leng, Fan Yang, Shuo Yu, Yunxin Liu, Yu Feng, Yuhao Zhu, Lidong Zhou, Yun Liang, Chen Zhang, Chao Li, Minyi Guo
  
  ASPLOS | April 2024
  
  Publication
- Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted Microservices
  
  Zibo Wang, Pinghe Li, Chieh-Jan Mike Liang, Feng Wu, Francis Y. Yan
  
  NSDI (USENIX Symposium on Networked Systems Design and Implementation) | April 2024
  
  Outstanding Paper Award
  
  Publication
- SPFresh: Incremental In-Place Update for Billion-Scale Vector Search
  
  Yuming Xu, Hengyu Liang, Jin Li, Shuotao Xu, Qi Chen, Qianxi Zhang, Cheng Li , Ziyue Yang, Fan Yang, Yuqing Yang, Peng Cheng, Mao Yang
  
  SOSP’23 | October 2023
  
  Microsoft Research Blog
  
  https://www.rarnonalumber.com/en-us/research/blog/unified-database-laying-the-foundation-for-large-language-model-vertical-applications/
  
  Publication
- PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation
  
  Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Lingxiao Ma, Yuqing Yang, Fan Yang, Chengruidong Zhang, Lili Qiu, Mao Yang, Lidong Zhou
  
  The 29th ACM Symposium on Operating Systems Principles | October 2023
  
  Publication
- ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices
  
  Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang
  
  ICCV 2023 | October 2023
  
  Publication
- SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference
  
  Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang
  
  ICCV 2023 | October 2023
  
  Publication
- Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference
  
  Junyan Li, Li Lyna Zhang, Jiahang Xu, Yujing Wang, Shaoguang Yan, Yunqing Xia, Yuqing Yang, Ting Cao, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang
  
  KDD 2023 | August 2023
  
  Publication
- Optimizing Dynamic Neural Networks with Brainstorm
  
  Weihao Cui, Zhenhua Han, Lingji Ouyang, Yichuan Wang, Ningxin Zheng, Lingxiao Ma, Yuqing Yang, Fan Yang, Jilong Xue, Lili Qiu, Lidong Zhou, Quan Chen, Haisheng Tan, Minyi Guo
  
  OSDI’23 | July 2023
  
  Publication
- VBASE: Unifying Online Vector Similarity Search and Relational Queries via Relaxed Monotonicity
  
  Qianxi Zhang, Shuotao Xu, Qi Chen, Guoxin Sui, Jiadong Xie, Zhizhen Cai, Yaoqi Chen, Yinxuan He, Yuqing Yang, Fan Yang, Mao Yang, Lidong Zhou
  
  OSDI’23 | July 2023
  
  Publication
- OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization
  
  Cong Guo, Jiaming Tang, Jingwen Leng, Weiming Hu, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
  
  ISCA | June 2023
  
  PDF Project
- Runtime Performance Prediction for Deep Learning Models with Graph Neural Network
  
  Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang
  
  ICSE 2023 | May 2023
  
  The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
  
  Author's Version DOI Project
- An Empirical Study on Quality Issues of Deep Learning Platform
  
  Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang
  
  ICSE 2023 | May 2023
  
  The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
  
  Author's Version DOI Project
- SiloD: A Co-design of Caching and Scheduling for Deep Learning Clusters
  
  Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Mingxia Li, Fan Yang, Qianxi Zhang, Binyang Li, Yuqing Yang, Lili Qiu, Lintao Zhang, Lidong Zhou
  
  EuroSys 2023 | May 2023
  
  Publication
- On Modular Learning of Distributed Systems for Predicting End-to-End Latency
  
  Chieh-Jan Mike Liang, Zilin Fang, Yuqing Xie, Fan Yang, Zhao Lucis Li, Li Lyna Zhang, Mao Yang, Lidong Zhou
  
  NSDI (USENIX Symposium on Networked Systems Design and Implementation) | April 2023
  
  Publication
- ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning
  
  Diandian Gu, Yihao Zhao, Yinmin Zhong, Yifan Xiong, Zhenhua Han, Peng Cheng, Fan Yang, Gang Huang, Xin Jin, Xuanzhe Liu
  
  ASPLOS 2023 | March 2023
  
  Publication
- The Case for Learning Machine Language
  
  Guangda Liu, Chieh-Jan Mike Liang, Shijie Cao, Shuai Lu, Leendert van Doorn
  
  ML for Systems at NeurIPS | December 2022
  
  Publication
- A Neural Corpus Indexer for Document Retrieval
  
  Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Allen Sun, Weiwei Deng, Qi Zhang, Mao Yang
  
  NeurIPS 2022 | November 2022
  
  Outstanding Paper
  
  Publication
- ANT: Exploiting Adaptive Numerical Data Type for Low-Bit Deep Neural Network Quantization
  
  Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
  
  MICRO | October 2022
  
  IEEE Micro Top Picks 2023 Honorable Mention
  
  PDF
- PilotFish: Harvesting Free Cycles of Cloud Gaming with Deep Learning Training
  
  Wei Zhang , Binghao Chen, Zhenhua Han, Quan Chen, Peng Cheng, Fan Yang, Ran Shu, Yuqing Yang, Minyi Guo
  
  2022 USENIX Annual Technical Conference | July 2022
  
  PDF
- Tutel: Adaptive Mixture-of-Experts at Scale
  
  Changho Hwang, Wei Cui, Yifan Xiong, Ziyue Yang, Ze Liu, Han Hu, Zilong Wang, Rafael Salas, Jithin Jose, Prabhat Ram, Joe Chau, Peng Cheng, Fan Yang, Mao Yang, Yongqiang Xiong
  
  July 2022
  
  Publication
- SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute
  
  Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Yang Wang, Mao Yang, Lidong Zhou
  
  OSDI 2022 | July 2022
  
  Publication Project Project
- Roller: Fast and Efficient Tensor Compilation for Deep Learning
  
  Hongyu Zhu , Ruofan Wu , Yijia Diao , Shanbin Ke , Haoyu Li , Chen Zhang , Jilong Xue, Lingxiao Ma, Yuqing Xia, Wei Cui, Fan Yang, Mao Yang, Lidong Zhou, Asaf Cidon , Gennady Pekhimenko
  
  The 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI’22) | July 2022
  
  Publication Project
- Refty: Refinement Types for Valid Deep Learning Models
  
  Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
  
  ICSE 2022 | May 2022
  
  The 44th International Conference on Software Engineering
  
  Author's Version DOI Project
- Privacy-preserving Online AutoML for Domain-Specific Face Detection
  
  Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang
  
  CVPR 2022 | May 2022
  
  Publication
- Distill-VQ: Learning Retrieval Oriented Vector Quantization by Distilling Knowledge from Dense Embeddings
  
  Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie
  
  SIGIR 2022 | April 2022
  
  Publication
- SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation
  
  Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo
  
  ICLR 2022 | April 2022
  
  Publication
- GLOW: Global Weighted Self-Attention Network for Web Search
  
  Xuan Shan, Chuanjie Liu, Yiqian Xia, Qi Chen, Yusi Zhang, Kaize Ding, Yaobo Liang, Angen Luo, Yuxiang Luo
  
  2021 INTERNATIONAL CONFERENCE ON BIG DATA | November 2021
  
  Publication Publication
- SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search
  
  Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang, Mao Yang, Jingdong Wang
  
  NeurIPS 2021 | November 2021
  
  Spotlight presentation, Microsoft News: https://news.microsoft.com/source/features/innovation/bing-vector-search/
  
  Publication
- How Does Supernet Help in Neural Architecture Search?
  
  Yuge Zhang, Quanlu Zhang, Yaming Yang
  
  2nd Workshop on Neural Architecture Search at ICLR 2021 | July 2021
  
  Publication
- Resource-Guided Configuration Space Reduction for Deep Learning Models
  
  Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang
  
  ICSE 2021 | May 2021
  
  The 43rd International Conference on Software Engineering
  
  Author's Version DOI Project
- Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning
  
  Ziyan Luo, Linfeng Zhao, Wei Cheng, Sihao Chen, Qi Chen, Hui Xue, Haidong Wang, Chuanjie Liu, Mao Yang, Lintao Zhang
  
  2021 The Web Conference | April 2021
  
  DOI Publication Publication Publication
- Estimating GPU Memory Consumption of Deep Learning Models
  
  Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang
  
  ESEC/FSE 2020 | November 2020
  
  The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track
  
  Author's Version DOI Project
- HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees
  
  Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Fan Yang, Lidong Zhou, Mao Yang, Yuqi Wang, Yifan Xiong, Bin Wang
  
  2020 Operating Systems Design and Implementation | November 2020
  
  Publication Project
- Retiarii: A Deep Learning Exploratory-Training Framework
  
  Quanlu Zhang, Zhenhua Han, Fan Yang, Yuge Zhang, Zhe Liu, Mao Yang, Lidong Zhou
  
  2020 Operating Systems Design and Implementation | November 2020
  
  Publication Video
- Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks
  
  Lingxiao Ma, Zhiqiang Xie, Zhi Yang, Jilong Xue, Youshan Miao, Wei Cui, Wenxiang Hu, Fan Yang, Lintao Zhang, Lidong Zhou
  
  14th USENIX Symposium on Operating Systems Design and Implementation (OSDI’20) | November 2020
  
  Publication Project
- Byzantine Ordered Consensus without Byzantine Oligarchy
  
  Yunhao Zhang, Srinath Setty, Qi Chen, Lidong Zhou, Lorenzo Alvisi
  
  Operating Systems Design and Implementation (OSDI) | October 2020
  
  Jay Lepreau Best Paper Award
  
  Publication
- Estimating Minimum Operation Steps via Memory-based Recurrent Calculation Network
  
  Lei Sha, Chen Shi, Qi Chen, Lintao Zhang, Houfeng Wang
  
  2020 International Joint Conference on Neural Network | July 2020
  
  DOI Publication Publication Publication
- AutoSys: The Design and Operation of Learning-Augmented Systems
  
  Chieh-Jan Mike Liang, Hui Xue, Mao Yang, Lidong Zhou, Lifei Zhu, Zhao Lucis Li, Zibo Wang, Qi Chen, Quanlu Zhang, Chuanjie Liu, Wenjun Dai
  
  ATC (USENIX Annual Technical Conference) | July 2020
  
  Publication
- XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation
  
  Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong (YIMING), Linjun Shou (寿林钧), Daxin Jiang (姜大昕), Guihong Cao, Xiaodong Fan, Bruce Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Ming Zhou
  
  EMNLP 2020 | April 2020
  
  Publication PDF Github Github Github Project
- Capuchin: Tensor-based GPU Memory Management for Deep Learning
  
  Quan Peng, Xuanhua Shi, Hulin Dai, Hai Jin, Weiliang Ma, Qian Xiong, Fan Yang, Xuehai Qian
  
  ASPLOS | March 2020
  
  Publication Project
- Collaborative Learning between Cloud and End Devices: An Empirical Study on Location Prediction
  
  Yan Lu, Yuanchao Shu, Xu Tan, Yunxin Liu, Mengyu Zhou, Qi Chen, Dan Pei
  
  ACM/IEEE Symposium on Edge Computing | November 2019
  
  Publication Project
- We Know What You Will Ask: A Dialogue System for Multi-intent Switch and Prediction
  
  Chen Shi, Qi Chen, Lei Sha, Hui Xue, Sujian Li, Lintao Zhang (lintaoz), Houfeng Wang
  
  2019 International conference natural language processing | October 2019
  
  DOI Publication Publication Publication Publication
- NeuGraph: Parallel Deep Neural Network Computation on Large Graphs
  
  Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai
  
  2019 USENIX Annual Technical Conference | July 2019
  
  Publication Project Project
- Accelerating Rule-matching Systems with Learned Rankers
  
  Zhao Lucis Li, Chieh-Jan Mike Liang, Wei Bai, Qiming Zheng, Yongqiang Xiong, Guangzhong Sun
  
  ATC (USENIX Annual Technical Conference) | July 2019
  
  Publication
- Analysis of Large-Scale Multi-Tenant {GPU} Clusters for {DNN} Training Workloads
  
  Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, Junjie Qian, Wencong Xiao, Fan Yang
  
  2019 USENIX Annual Technical Conference | May 2019
  
  PDF Publication Github Project Project
- Fast Clustering with Flexible Balance Constraints
  
  Hongfu Liu, Ziming Huang, Qi Chen, Mingqin Li, Yun Fu, Lintao Zhang
  
  2018 International Conference on Big Data | December 2018
  
  DOI Publication
- Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning
  
  Chen Shi, Qi Chen, Lei Shan, Sujian Li, Xu Sun, Houfeng Wang, Lintao Zhang
  
  2018 Conference on Empirical Methods in Natural Language Processing | November 2018
  
  Publication
- SDPaxos: Building Efficient Semi-Decentralized Geo-replicated State Machines
  
  Hanyu Zhao, Quanlu Zhang, Zhi Yang, Ming Wu, Yafei Dai
  
  ACM Symposium on Cloud Computing 2018 (SoCC 2018) | October 2018
  
  Publication
- Gandiva: Introspective Cluster Scheduling for Deep Learning
  
  Wencong Xiao, Romil Bhardwaj, Ramachandran Ramjee, Muthian Sivathanu, Nipun Kwatra, Zhenhua Han, Pratyush Patel, Xuan Peng, Hanyu Zhao, Quanlu Zhang, Fan Yang, Lidong Zhou
  
  13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2018) | October 2018
  
  Publication Project Project Project
- Metis: Robustly Optimizing Tail Latencies of Cloud Systems
  
  Zhao Lucis Li, Chieh-Jan Mike Liang, Wenjia He, Lianjie Zhu, Wenjun Dai, Jin Jiang, Guangzhong Sun
  
  ATC (USENIX Annual Technical Conference) | July 2018
  
  Publication
- Towards Web-based Delta Synchronization for Cloud Storage Services
  
  He Xiao, Zhenhua Li, Ennan Zhai, Tianyin Xu, Yang Li, Yunhao Liu, Quanlu Zhang, Yao Liu
  
  16th USENIX Conference on File and Storage Technologies (FAST 2018) | February 2018
  
  Publication
- Systematically Testing Background Services of Mobile Apps
  
  Li Lyna Zhang, Chieh-Jan Mike Liang, Yunxin Liu, Enhong Chen
  
  ASE (International Conference on Automated Software Engineering) | October 2017
  
  Publication
- TuX2: Distributed Graph Computation for Machine Learning
  
  Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lidong Zhou
  
  14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 17) | March 2017
  
  ISBN: 978-1-931971-37-9
  
  Publication Project Project
- TennisMaster: An IMU-based Online Serve Performance Evaluation System
  
  Disheng Yang, Jian Tang, Yang Huang, Chao Xu, Jinyang Li, Liang Hu, Jiao Zhang, Guobin Shen, Chieh-Jan Mike Liang, Hengchang Liu
  
  AH (Augmented Human) | March 2017
  
  Best Paper
  
  Publication
- Towards A Contextual and Scalable Automated-testing Service for Mobile Apps
  
  Li Lyna Zhang, Chieh-Jan Mike Liang, Wei Zhang, Enhong Chen
  
  HotMobile | February 2017
  
  Publication
- Systematically Debugging IoT Control System Correctness for Building Automation
  
  Chieh-Jan Mike Liang, Lei Bu, Zhao Lucis Li, Junbei Zhang, Shi Han, Börje F. Karlsson, Dongmei Zhang, Feng Zhao
  
  BuildSys (ACM Conference on Systems for Energy-Efficient Built Environments) | November 2016
  
  Publication
- TR-Spark: Transient Computing for Big Data Analytics
  
  Ying Yan, Yanjie Gao, Yang Chen, Zhongxin Guo, Bole Chen, Thomas Moscibroda
  
  SoCC ’16 Proceedings of the Seventh ACM Symposium on Cloud Computing | October 2016
  
  ISBN: 978-1-4503-4525-5
  
  Publication Publication
- DSwitch: a dual mode direct and network attached disk
  
  Quanlu Zhang, Yafei Dai, Lintao Zhang
  
  Sixth ACM Symposium on Cloud Computing (SoCC) | August 2015
  
  Publication
- GraM: Scaling Graph Computation to the Trillions
  
  Ming Wu, Fan Yang, Jilong Xue, Wencong Xiao, Youshan Miao, Lan Wei, Haoxiang Lin, Yafei Dai, Lidong Zhou
  
  SoCC 2015 | August 2015
  
  The 6th ACM Symposium on Cloud Computing
  
  Publication DOI Project
- Memory-Centric Data Storage for Mobile Systems
  
  Jinglei Ren, Chieh-Jan Mike Liang, Yongwei Wu, Thomas Moscibroda
  
  ATC (USENIX Annual Technical Conference) | July 2015
  
  Publication
- UStore: A Low Cost Cold and Archival Data Storage System for Data Centers
  
  Quanlu Zhang, Fengqian Li, Yafei Dai, Lintao Zhang
  
  35th IEEE International Conference on Distributed Computing Systems (ICDCS) | June 2015
  
  Publication
- SIFT: Building an Internet of Safe Things
  
  Chieh-Jan Mike Liang, Börje F. Karlsson, Nicholas D. Lane, Feng Zhao, Junbei Zhang, Zheyi Pan, Zhao Lucis Li, Yong Yu
  
  IPSN (International Conference on Information Processing in Sensor Networks) | April 2015
  
  Publication
- RushNet: Practical Traffic Prioritization for Saturated Wireless Sensor Networks
  
  Chieh-Jan Mike Liang, Kaifei Chen, Bodhi Priyantha, Jie Liu, Feng Zhao
  
  SenSys (Conference on Embedded Networked Sensor Systems) | November 2014
  
  Publication
- Caiipa: Automated Large-scale Mobile App Testing through Contextual Fuzzing
  
  Chieh-Jan Mike Liang, Nicholas D. Lane, Niels Brouwers, Li Lyna Zhang, Börje F. Karlsson, Hao Liu, Yan Liu, Jun Tang, Xiang Shan, Ranveer Chandra, Feng Zhao
  
  MobiCom (International Conference on Mobile Computing and Networking) | September 2014
  
  Publication Project
- Low-Power and Topology-Free Data Transfer Protocol with Synchronous Packet Transmissions
  
  Jongsoo Jeong, Jongjun Park, Hoon Jeong, JongArm Jun, Chieh-Jan Mike Liang, JeongGil Ko
  
  SECON (Internation Conference on Sensing, Communication, and Networking) | July 2014
  
  Publication
- Chronos: A Graph Engine for Temporal Graph Analysis
  
  Wentao Han, Youshan Miao, Kaiwei Li, Ming Wu, Vijayan Prabhakaran, Wenguang Chen, Enhong Chen, Fan Yang, Lidong Zhou
  
  EuroSys | April 2014
  
  Publication Publication Publication Project
- Crossroads: A Framework for Developing Proximity-based Social Interactions
  
  Chieh-Jan Mike Liang, Haozhun Jin, Yang Yang, Li Lyna Zhang, Feng Zhao
  
  Mobiquitous (International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services) | December 2013
  
  Publication
- New Cyber Physical System Challenges for Human-in-the-Loop Control
  
  Sirajum Munir, John A. Stankovic, Chieh-Jan Mike Liang, Shan Lin
  
  Feedback Computing (International Workshop on Feedback Computing) | June 2013
  
  Publication
- Accurate Real-Time Occupant Energy-Footprinting in Commercial Buildings
  
  Yun Cheng, Kaifei Chen, Ben Zhang, Chieh-Jan Mike Liang, Xiaofan Jiang, Feng Zhao
  
  BuildSys (ACM Workshop On Embedded Systems For Energy-Efficient Buildings) | November 2012
  
  Publication Project
- Design and Evaluation of a Wireless Magnetic-based Proximity Detection Platform for Indoor Applications
  
  Xiaofan (Fred) Jiang, Chieh-Jan Mike Liang, Kaifei Chen, Ben Zhang, Jeff Hsu, Jie Liu, Bin Cao, Feng Zhao
  
  IPSN (International Conference on Information Processing in Sensor Networks) | April 2012
  
  Best Demo
  
  Publication Project
- Kineograph: taking the pulse of a fast-changing and connected world
  
  Raymond Cheng, Ji Hong, Aapo Kyrola, Youshan Miao, Xuetian Weng, Ming Wu, Fan Yang, Lidong Zhou, Feng Zhao, Enhong Chen
  
  ACM Eurosys | April 2012
  
  Publication Publication Publication Project
- ThermoCast: A Cyber-Physical Forecasting Model for Data Centers
  
  Lei Li, Chieh-Jan Mike Liang, Jie Liu, Suman Nath, Andreas Terzis, Christos Faloutsos
  
  KDD (ACM SIGKDD Conference on Knowledge Discovery and Data Mining) | August 2011
  
  Publication
- Surviving Wi-Fi Interference in Low Power ZigBee Networks
  
  Chieh-Jan Mike Liang, Bodhi Priyantha, Jie Liu, Andreas Terzis
  
  SenSys (ACM Conference on Embedded Network Sensor Systems) | November 2010
  
  Publication
- Design and Evaluation of a Versatile and Efficient Receiver-Initiated Link Layer for Low-Power Wireless
  
  Prabal Dutta, Stephen Dawson-Haggerty, Yin Chen, Chieh-Jan Mike Liang, Andreas Terzis
  
  SenSys (ACM Conference on Embedded Network Sensor Systems) | November 2010
  
  (1) Best Paper. (2) Test of Time
  
  Publication
- Rethinking Multi-Channel Protocols in Wireless Sensor Networks
  
  Chieh-Jan Mike Liang, Andreas Terzis
  
  HotEmNets (ACM Workshop on Hot Topics in Embedded Networked Sensors) | June 2010
  
  Publication
- RACNet: A High-Fidelity Data Center Sensing Network
  
  Chieh-Jan Mike Liang, Jie Liu, Liqian Luo, Andreas Terzis, Feng Zhao
  
  SenSys (ACM Conference on Embedded Network Sensor Systems) | November 2009
  
  Publication
- TOSThreads: Thread-Safe and Non-Invasive Preemption in TinyOS
  
  Kevin Klues, Chieh-Jan Mike Liang, Jeongyeup Paek, Răzvan Musăloiu-E., Philip Levis, Andreas Terzis, Ramesh Govindan
  
  SenSys (ACM Conference on Embedded Network Sensor Systems) | November 2009
  
  Publication
- Towards Discovering Data Center Genome Using Sensor Nets
  
  Jie Liu, Bodhi Priyantha, Feng Zhao, Chieh-Jan Mike Liang, Qiang Wang, Sean James
  
  HotEmNets (ACM Workshop on Hot Topics in Embedded Networked Sensors) | June 2008
  
  Publication
- Koala: Ultra-Low Power Data Retrieval in Wireless Sensor Networks
  
  Razvan Musaloiu-E, Chieh-Jan Mike Liang, Andreas Terzis
  
  IPSN (International Conference on Information Processing in Sensor Networks) | April 2008
  
  Publication
- Typhoon: A Reliable Data Dissemination Protocol for Wireless Sensor Networks
  
  Chieh-Jan Mike Liang, Andreas Terzis, Răzvan Musăloiu-E.
  
  EWSN (European Conference on Wireless Sensor Networks) | January 2008
  
  Publication
- AMTP: a multipath multimedia streaming protocol for mobile ad hoc networks
  
  K. Rojviboonchai, Fan Yang, Q. Zhang, H. Aida, W. Zhu
  
  May 2005
  
  Publication Publication
- Adaptive Page Migration Policy With Huge Pages in Tiered Memory Systems
  
  Taekyung Heo, Yang Wang, Wei Cui, Jaehyuk Huh, Lintao Zhang
  
  IEEE Transactions on Computers | November 2020, Vol 71(1): pp. 53-68
  
  DOI Publication
- Distributed Graph Computation Meets Machine Learning
  
  Wencong Xiao, Jilong Xue, Youshan Miao, Zhen Li, Cheng Chen, Ming Wu, Wei Li, Lidong Zhou
  
  IEEE Transactions on Parallel and Distributed Systems | January 2020, Vol 31(7): pp. 1588-1604
  
  Publication Project
- The Case for Learning-and-System Co-design
  
  Chieh-Jan Mike Liang, Hui Xue, Mao Yang, Lidong Zhou
  
  ACM SIGOPS Operating Systems Review | July 2019, Vol 53(1): pp. 68-74
  
  Publication
- Low-Cost and Robust Geographic Opportunistic Routing in a Strip Topology Wireless Network
  
  Chen Liu, Dingyi Fang, Xinyan Liu, Dan Xu, Xiaojiang Chen, Chieh-Jan Mike Liang, Baoying Liu, Zhanyong Tang
  
  TOSN (ACM Transactions on Sensor Networks) | April 2019
  
  Publication
- Systematically Ensuring The Confidence of Real Time Home Automation IoT Systems
  
  Lei Bu, Wen Xiong, Chieh-Jan Mike Liang, Shi Han, Shan Lin, Dongmei Zhang, Xuandong Li
  
  TCPS (ACM Transactions on Cyber-Physical Systems) | June 2018
  
  Publication
- Characterizing Privacy Risks of Mobile Apps with Sensitivity Analysis
  
  Li Lyna Zhang, Chieh-Jan Mike Liang, Zhao Lucis Li, Yunxin Liu, Feng Zhao, Enhong Chen
  
  TMC (IEEE Transactions on Mobile Computing) | February 2018, Vol 17: pp. 279-292
  
  Publication
- ImmortalGraph: A System for Storage and Analysis of Temporal Graphs
  
  Youshan Miao, Wentao Han, Kaiwei Li, Ming Wu, Vijayan Prabhakaran, Enhong Chen, Wenguang Chen, Fan Yang, Lidong Zhou
  
  ACM Transactions on Storage (TOS) | July 2015
  
  Publication Publication Project
- How to Smash the Next Billion Mobile App Bugs?
  
  Ranveer Chandra, Börje F. Karlsson, Nicholas D. Lane, Chieh-Jan Mike Liang, Suman Nath, Jitu Padhye, Lenin Ravindranath Sivalingam, Feng Zhao
  
  ACM GetMobile: Mobile Computing and Communications | January 2015, Vol 19(1)
  
  Publication Project
- A Feasibility Study and Development Framework Design for Realizing Smartphone-based Vehicular Networking Systems
  
  Yongtae Park, Jihun Ha, Seungho Kuk, Hyogon Kim, Chieh-Jan Mike Liang, JeongGil Ko
  
  TMC (IEEE Transactions on Mobile Computing) | November 2014, Vol 99
  
  Publication
- Improving the Packet Delivery Performance for Concurrent Packet Transmissions in WSNs
  
  Jongjun Park, Jongsoo Jeong, Hoon Jeong, Chieh-Jan Mike Liang, JeongGil Ko
  
  IEEE Communications Letters | December 2013, Vol 18
  
  Publication
- Reducing Energy Waste for Computers by Human-in-the-Loop Control
  
  Sirajum Munir, John A. Stankovic, Chieh-Jan Mike Liang, Shan Lin
  
  TETC (IEEE Transactions on Emerging Topics in Computing) | September 2013, Vol 2(4)
  
  Publication
- A-MAC: A Versatile and Efficient Receiver-Initiated Link Layer for Low-Power Wireless
  
  Prabal Dutta, Stephen Dawson-Haggerty, Yin Chen, Chieh-Jan Mike Liang, Andreas Terzis
  
  TOSN (ACM Transactions on Sensor Networks) | September 2012, Vol 8
  
  Publication
- Wireless Sensor Networks for Soil Science
  
  Andreas Terzis, Răzvan Musăloiu-E., Joshua Cogan, Katalin Szlavecz, Alexander Szalay, Jim Gray, Stuart Ozer, Chieh-Jan Mike Liang, Jayant Gupchup, Randal Burns
  
  IJSNet (International Journal of Sensor Networks) | February 2010, Vol 7
  
  Publication
- Project Genome: Wireless Sensor Network for Data Center Cooling
  
  Jie Liu, Feng Zhao, Jeff O'Reilly, Amaya Souarez, Michael Manos, Chieh-Jan Mike Liang, Andreas Tersiz
  
  The Architecture Journal | December 2008
  
  Publication
- Modeling path capacity in multi-hop IEEE 802.11 networks for QoS services
  
  Kun Wang, Fan Yang, Qian Zhang, Yinlong Xu
  
  IEEE Transactions on Wireless Communications | February 2007, Vol 6(2): pp. 738-749
  
  DOI Publication Publication Publication Publication Publication
- LION: Layered Overlay Multicast with Network Coding
  
  J. Zhao, Fan Yang, Q. Zhang, Zhensheng Zhang, Fuyan Zhang
  
  IEEE Transactions on Multimedia | May 2004
- End-to-End TCP-Friendly Streaming Protocol and Bit Allocation for Scalable Video over Wireless Internet
  
  Q. Zhang, F. Yang, W. Zhu, Y.-Q. Zhang, Fan Yang
  
  IEEE Journal on Selected Areas in Communications | February 2004, Vol 22(6)
  
  Publication
- AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing
  
  Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang
  
  August 2021
  
  Published by: arXiv | August 2021
  
  Publication
- A New Approach to Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute
  
  Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Mao Yang, Lidong Zhou
  
  MSR-TR-2021-20 | August 2021
  
  Published by Microsoft
  
  Publication
- Multi-tenant GPU Clusters for Deep Learning Workloads: Analysis and Implications (TR)
  
  Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, Junjie Qian, Wencong Xiao, Fan Yang
  
  MSR-TR-2018-13 | May 2018
  
  Published by Microsoft
  
  Publication Github Project
- Arming Cloud Services with Task Aspects
  
  Zhenyu Guo, Cheng Chen, Haoxiang Lin, Sean McDirmid, Fan Yang, Xueying Guo, Mao Yang, Lidong Zhou
  
  MSR-TR-2014-150 | November 2014
  
  Published by Microsoft
  
  Publication
- Sonora: A Platform for Continuous Mobile-Cloud Computing
  
  Xiuwei Chen, Ivan Beschastnikh, Li Zhuang, Fan Yang, Zhengping Qian, Lidong Zhou, Guobin Shen, Jacky Shen
  
  MSR-TR-2012-34 | March 2012
  
  Publication Publication
- Distributed Channel Assignment and Routing in Multi-radio Multi-channel Multi-hop Wireless Networks
  
  Haitao Wu, Fan Yang, Kun Tan, Jie Chen, Qian Zhang, Zhensheng Zhang
  
  MSR-TR-2006-165 | November 2006
  
  Publication