CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
KDD 2022 | August 2022
2022年8月14日 –
2022年8月18日
Microsoft at KDD 2022
Eastern Daylight Time (UTC -4)
地点： Washington, DC
论文与出版物
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Learning Supplementary NLP features for CTR Prediction in Sponsored Search
Dong Wang, Shaoguang Yan, Yunqing Xia, Kavé Salamatian, Weiwei Deng, Qi Zhang
The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’ 22) | August 2022
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ML4S: Learning Causal Skeleton from Vicinal Graphs
Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
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pureGAM: Learning an Inherently Pure Additive Model
Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
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TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation
Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD’22) | August 2022
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Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
SIGKDD 2022 | August 2022
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Learning Differential Operators for Interpretable Time Series Modeling
Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian
KDD 2022 | August 2022
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Availability attacks create shortcuts
Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu, Jian Yin
2022 Knowledge Discovery and Data Mining | August 2022
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CLARE: A Semi-supervised Community Detection Algorithm
Xixi Wu, Yao Zhang, Yun Xiong, Yizhu Jiao, Caihua Shan, Yangyong Zhu, Philip S Yu
KDD 2022 | August 2022
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Friend Recommendations with Self-Rescaling Graph Neural Networks
Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie
KDD 2022 | August 2022
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Learning Causal Effects on Hypergraphs
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent Hecht, Jaime Teevan
2022 SIGKDD Conference on Knowledge Discovery and Data Mining | August 2022
KDD Best Paper Award 2022
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MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI
Vijay Janapa Reddi, David Kanter, Peter Mattson, Jared Duke, Thai Nguyen, Ramesh Chukka, Ken Shiring, Koan-Sin Tan, Mark Charlebois, William Chou, Mostafa El-Khamy, Jungwook Hong, Tom St John, Cindy Trinh, Michael Buch, Mark Mazumder, Relja Markovic, Thomas Atta, Fatih Cakir, Masoud Charkhabi, Xiaodong Chen, Cheng-Ming Chiang, Dave Dexter, Terry Heo, Guenther Schmuelling, Maryam Shabani, Dylan Zika
MLSys 2022 | August 2022
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NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
SIGKDD 2022 | August 2022
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Self-Supervised Augmentation and Generation for Multi-lingual Text Advertisements at Bing
Xiaoyu Kou, Tianqi Zhao, Fan Zhang, Song Li, Qi Zhang
KDD 2022 | August 2022
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Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
SIGKDD’22 | August 2022
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No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices
Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie
KDD 2022 | July 2022
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Unified 2D and 3D Pre-Training of Molecular Representations
Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
KDD 2022 | July 2022
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Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values
Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana
KDD 2022 | July 2022
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Learning Models of Individual Behavior in Chess
Reid McIlroy-Young, Russell Wang, Siddhartha Sen, Jon Kleinberg, Ashton Anderson
KDD 2022 | July 2022
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RetroGraph: Retrosynthetic Planning with Graph Search
Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin
KDD 2022 | June 2022
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Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads
Chaozhuo Li, Bochen Pang, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang
KDD 2022 | June 2022
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Reinforcement Subgraph Reasoning for Fake News Detection
Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | June 2022
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Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora
Changyu Chen, Xiting Wang, Xiaoyuan Yi, Fangzhao Wu, Xing Xie, Rui Yan
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | May 2022
Applied Data Science Track
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Generating Examples From CLI Usage: Can Transformers Help?
Roshanak Zilouchian Moghaddam, Spandan Garg, Colin Clement, Yevhen Mohylevskyy, Neel Sundaresan
KDD 2022 | April 2022
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FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
KDD 2022 | February 2022
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Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search
Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Denvy Deng, Qi Zhang, Xing Xie
KDD 2022 | February 2022
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CoRGi: Content-Rich Graph Neural Networks with Attention
Jooyeon Kim, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Cheng Zheng, Miltiadis Allamanis
KDD 2022 | October 2021
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Training Large-Scale News Recommenders with Pretrained Language Models in the Loop
Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Xing Xie
KDD 2022 | February 2021
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Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
SIGKDD 2022 | August 2022
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Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
SIGKDD’22 | August 2022
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CLARE: A Semi-supervised Community Detection Algorithm
Xixi Wu, Yao Zhang, Yun Xiong, Yizhu Jiao, Caihua Shan, Yangyong Zhu, Philip S Yu
KDD 2022 | August 2022
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NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
SIGKDD 2022 | August 2022
-
Availability attacks create shortcuts
Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu, Jian Yin
2022 Knowledge Discovery and Data Mining | August 2022
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Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
SIGKDD 2022 | August 2022
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Learning Differential Operators for Interpretable Time Series Modeling
Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian
KDD 2022 | August 2022
-
Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
SIGKDD’22 | August 2022
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NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
SIGKDD 2022 | August 2022
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No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices
Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie
KDD 2022 | July 2022
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FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
KDD 2022 | February 2022
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Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search
Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Denvy Deng, Qi Zhang, Xing Xie
KDD 2022 | February 2022
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Training Large-Scale News Recommenders with Pretrained Language Models in the Loop
Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Xing Xie
KDD 2022 | February 2021
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Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
SIGKDD 2022 | August 2022
-
Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
SIGKDD’22 | August 2022
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NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
SIGKDD 2022 | August 2022
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CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
KDD 2022 | August 2022
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pureGAM: Learning an Inherently Pure Additive Model
Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
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ML4S: Learning Causal Skeleton from Vicinal Graphs
Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
-
TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation
Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD’22) | August 2022
-
Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
SIGKDD 2022 | August 2022
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Self-Supervised Augmentation and Generation for Multi-lingual Text Advertisements at Bing
Xiaoyu Kou, Tianqi Zhao, Fan Zhang, Song Li, Qi Zhang
KDD 2022 | August 2022
-
MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI
Vijay Janapa Reddi, David Kanter, Peter Mattson, Jared Duke, Thai Nguyen, Ramesh Chukka, Ken Shiring, Koan-Sin Tan, Mark Charlebois, William Chou, Mostafa El-Khamy, Jungwook Hong, Tom St John, Cindy Trinh, Michael Buch, Mark Mazumder, Relja Markovic, Thomas Atta, Fatih Cakir, Masoud Charkhabi, Xiaodong Chen, Cheng-Ming Chiang, Dave Dexter, Terry Heo, Guenther Schmuelling, Maryam Shabani, Dylan Zika
MLSys 2022 | August 2022
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Learning Causal Effects on Hypergraphs
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent Hecht, Jaime Teevan
2022 SIGKDD Conference on Knowledge Discovery and Data Mining | August 2022
KDD Best Paper Award 2022
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NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
SIGKDD 2022 | August 2022
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No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices
Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie
KDD 2022 | July 2022
-
Unified 2D and 3D Pre-Training of Molecular Representations
Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
KDD 2022 | July 2022
-
Learning Models of Individual Behavior in Chess
Reid McIlroy-Young, Russell Wang, Siddhartha Sen, Jon Kleinberg, Ashton Anderson
KDD 2022 | July 2022
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Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values
Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana
KDD 2022 | July 2022
-
RetroGraph: Retrosynthetic Planning with Graph Search
Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin
KDD 2022 | June 2022
-
Reinforcement Subgraph Reasoning for Fake News Detection
Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | June 2022
-
Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora
Changyu Chen, Xiting Wang, Xiaoyuan Yi, Fangzhao Wu, Xing Xie, Rui Yan
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | May 2022
Applied Data Science Track
-
Generating Examples From CLI Usage: Can Transformers Help?
Roshanak Zilouchian Moghaddam, Spandan Garg, Colin Clement, Yevhen Mohylevskyy, Neel Sundaresan
KDD 2022 | April 2022
-
CoRGi: Content-Rich Graph Neural Networks with Attention
Jooyeon Kim, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Cheng Zheng, Miltiadis Allamanis
KDD 2022 | October 2021
-
Training Large-Scale News Recommenders with Pretrained Language Models in the Loop
Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Xing Xie
KDD 2022 | February 2021
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Learning Supplementary NLP features for CTR Prediction in Sponsored Search
Dong Wang, Shaoguang Yan, Yunqing Xia, Kavé Salamatian, Weiwei Deng, Qi Zhang
The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’ 22) | August 2022
-
Friend Recommendations with Self-Rescaling Graph Neural Networks
Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie
KDD 2022 | August 2022
-
Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads
Chaozhuo Li, Bochen Pang, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang
KDD 2022 | June 2022
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Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search
Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Denvy Deng, Qi Zhang, Xing Xie
KDD 2022 | February 2022
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Training Large-Scale News Recommenders with Pretrained Language Models in the Loop
Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Xing Xie
KDD 2022 | February 2021
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Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
SIGKDD 2022 | August 2022
-
NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
SIGKDD 2022 | August 2022
-
Generating Examples From CLI Usage: Can Transformers Help?
Roshanak Zilouchian Moghaddam, Spandan Garg, Colin Clement, Yevhen Mohylevskyy, Neel Sundaresan
KDD 2022 | April 2022
-
-
-
Availability attacks create shortcuts
Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu, Jian Yin
2022 Knowledge Discovery and Data Mining | August 2022
-
-
-
CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
KDD 2022 | August 2022
-
Learning Supplementary NLP features for CTR Prediction in Sponsored Search
Dong Wang, Shaoguang Yan, Yunqing Xia, Kavé Salamatian, Weiwei Deng, Qi Zhang
The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’ 22) | August 2022
-
pureGAM: Learning an Inherently Pure Additive Model
Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
-
ML4S: Learning Causal Skeleton from Vicinal Graphs
Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
-
TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation
Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD’22) | August 2022
-
Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
SIGKDD 2022 | August 2022
-
Learning Differential Operators for Interpretable Time Series Modeling
Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian
KDD 2022 | August 2022
-
Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
SIGKDD’22 | August 2022
-
Self-Supervised Augmentation and Generation for Multi-lingual Text Advertisements at Bing
Xiaoyu Kou, Tianqi Zhao, Fan Zhang, Song Li, Qi Zhang
KDD 2022 | August 2022
-
CLARE: A Semi-supervised Community Detection Algorithm
Xixi Wu, Yao Zhang, Yun Xiong, Yizhu Jiao, Caihua Shan, Yangyong Zhu, Philip S Yu
KDD 2022 | August 2022
-
MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI
Vijay Janapa Reddi, David Kanter, Peter Mattson, Jared Duke, Thai Nguyen, Ramesh Chukka, Ken Shiring, Koan-Sin Tan, Mark Charlebois, William Chou, Mostafa El-Khamy, Jungwook Hong, Tom St John, Cindy Trinh, Michael Buch, Mark Mazumder, Relja Markovic, Thomas Atta, Fatih Cakir, Masoud Charkhabi, Xiaodong Chen, Cheng-Ming Chiang, Dave Dexter, Terry Heo, Guenther Schmuelling, Maryam Shabani, Dylan Zika
MLSys 2022 | August 2022
-
Learning Causal Effects on Hypergraphs
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent Hecht, Jaime Teevan
2022 SIGKDD Conference on Knowledge Discovery and Data Mining | August 2022
KDD Best Paper Award 2022
-
Friend Recommendations with Self-Rescaling Graph Neural Networks
Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie
KDD 2022 | August 2022
-
NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
SIGKDD 2022 | August 2022
-
Availability attacks create shortcuts
Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu, Jian Yin
2022 Knowledge Discovery and Data Mining | August 2022
-
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices
Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie
KDD 2022 | July 2022
-
Unified 2D and 3D Pre-Training of Molecular Representations
Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
KDD 2022 | July 2022
-
Learning Models of Individual Behavior in Chess
Reid McIlroy-Young, Russell Wang, Siddhartha Sen, Jon Kleinberg, Ashton Anderson
KDD 2022 | July 2022
-
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values
Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana
KDD 2022 | July 2022
-
RetroGraph: Retrosynthetic Planning with Graph Search
Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin
KDD 2022 | June 2022
-
Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads
Chaozhuo Li, Bochen Pang, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang
KDD 2022 | June 2022
-
Reinforcement Subgraph Reasoning for Fake News Detection
Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | June 2022
-
Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora
Changyu Chen, Xiting Wang, Xiaoyuan Yi, Fangzhao Wu, Xing Xie, Rui Yan
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | May 2022
Applied Data Science Track
-
Generating Examples From CLI Usage: Can Transformers Help?
Roshanak Zilouchian Moghaddam, Spandan Garg, Colin Clement, Yevhen Mohylevskyy, Neel Sundaresan
KDD 2022 | April 2022
-
FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
KDD 2022 | February 2022
-
Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search
Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Denvy Deng, Qi Zhang, Xing Xie
KDD 2022 | February 2022
-
CoRGi: Content-Rich Graph Neural Networks with Attention
Jooyeon Kim, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Cheng Zheng, Miltiadis Allamanis
KDD 2022 | October 2021
-
Training Large-Scale News Recommenders with Pretrained Language Models in the Loop
Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Xing Xie
KDD 2022 | February 2021
-