CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing
Yu Yuan, Shizhao Sun, Qi Liu, Jiang Bian
ICML 2025 | July 2025
Jiang Bian
Partner Research Manager
Papiers de Collaboration
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Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models
Ruiyu Wang, Yu Yuan, Shizhao Sun, Jiang Bian
2025 International Conference on Machine Learning | July 2025
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From Elements to Design: A Layered Approach for Automatic Graphic Design Composition
Jiawei Lin, Shizhao Sun, Danqing Huang, Ting Liu, Ji Li, Jiang Bian
2025 Computer Vision and Pattern Recognition | June 2025
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FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models
Zhanwei Zhang, Shizhao Sun, Wenxiao Wang, Deng Cai, Jiang Bian (jiabia)
2025 International Conference on Learning Representations | April 2025
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TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation
Bowen Deng, Chang Xu, Hao Li, Yuhao Huang, Min Hou, Jiang Bian
ArXiv | April 2025, Vol abs/2504.17613
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BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling
Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Ren-He Jiang, R. Batista-Navarro, Goran Nenadic, Jiang Bian
ICML 2025 | March 2025
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AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence
Yuliang Liu, Junjie Lu, Zhaoling Chen, Chaofeng Qu, Jason Klein Liu, Chonghan Liu, Zefan Cai, Yunhui Xia, Li Zhao, Jiang Bian, Chuheng Zhang, Wei Shen, Zhouhan Lin
ICML 2025 | February 2025
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PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation
Jinyu Wang, Jingjing Fu, Rui Wang, Lei Song, Jiang Bian
February 2025
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TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
Yu-Hao Huang, Chang Xu, Yueying Wu, Jiang Bian
January 2025
January 2025
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TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting
Huanyu Zhang, Chang Xu, Yi-Fan Zhang, Zhang Zhang, Liang Wang, Tien-Ping Tan, Jiang Bian
ArXiv | December 2024, Vol abs/2412.20810
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VidTok: A Versatile and Open-Source Video Tokenizer
Anni Tang, Tianyu He, Junliang Guo, Xinle Cheng, Li Song, Jiang Bian
December 2024
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InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models
Min Hou, Yueying Wu, Chang Xu, Yu-Hao Huang, Chenxi Bai, Le Wu, Jiang Bian
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1 | December 2024
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ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer
Shun Zheng, Xumeng Wen, Jiang Bian
2024 Neural Information Processing Systems | December 2024
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BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning
Xiao Yang, Xu Yang, Weiqing Liu, Lewen Wang, Jiang Bian
2024 Neural Information Processing Systems | October 2024
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IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Xiaoyu Chen, Junliang Guo, Tianyu He, Chuheng Zhang, Pushi Zhang, Derek Yang, Li Zhao, Jiang Bian
October 2024
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Policy Filtration for RLHF to Mitigate Noise in Reward Models
Chuheng Zhang, Wei Shen, Li Zhao, Xuyun Zhang, Xiaolong Xu, Wanchun Dou, Jiang Bian
ICML 2025 | September 2024
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MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model
Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian
September 2024
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Compositional 3D-aware Video Generation with LLM Director
Hanxin Zhu, Tianyu He, Anni Tang, Junliang Guo, Zhibo Chen, Jiang Bian
NeurIPS 2024 | August 2024
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Controllable Financial Market Generation with Diffusion Guided Meta Agent
Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian
August 2024
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LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data
Xinquan Huang, Wenlei Shi, Xiaotian Gao, Xinran wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu
Neural Networks | August 2024
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Diversification of Adaptive Policy for Effective Offline Reinforcement Learning
Yunseon Choi, Li Zhao, Chuheng Zhang, Lei Song, Jiang Bian, Kee-Eung Kim
IJCAI 2024 | July 2024
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Low latency carbon budget analysis reveals a large decline of the land carbon sink in 2023
Piyu Ke, P. Ciais, S. Sitch, Wei Li, Ana Bastos, Zhu Liu, Yidi Xu, Xiaofan Gui, Jiang Bian, D. Goll, Yi Xi, Wanjing Li, Mike O’Sullivan, Jeffeson Goncalves de Souza, P. Friedlingstein, F. Chevallier
National Science Review | July 2024
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NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time Series Pretraining
Chenguo Lin, Xumeng Wen, Wei Cao, Congrui Huang, Jiang Bian, Stephen Lin, Zhirong Wu
Transactions on Machine Learning Research | July 2024
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Video In-context Learning
Wentao Zhang, Junliang Guo, Tianyu He, Li Zhao, Linli Xu, Jiang Bian
July 2024
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Memories are One-to-Many Mapping Alleviators in Talking Face Generation
Tianyu He, Sheng Zhao, Jiang Bian
IEEE Transactions on Pattern Analysis and Machine Intelligence | June 2024
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NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models
Zeqian Ju, Yuancheng Wang, Kai Shen, Xu Tan, Detai Xin, Dongchao Yang, Yanqing Liu, Yichong Leng, Kaitao Song, Siliang Tang, Zhizheng Wu, Tao Qin, Xiang-Yang Li, Wei Ye, Shikun Zhang, Jiang Bian, Lei He, Jinyu Li, Sheng Zhao
ICML | June 2024
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Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
Yifan Xia, Xianliang Yang, Zichuan Liu, Zhihao Liu, Lei Song, Jiang Bian
2024 International Conference on Machine Learning | June 2024
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ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
Jiawen Zhang, Xumeng Wen, Zhenwei Zhang, Shun Zheng, Jia Li, Jiang Bian
NeurIPS 2024 | June 2024
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GAIA: Zero-shot Talking Avatar Generation
Tianyu He, Junliang Guo, Runyi Yu, Yuchi Wang, Jialiang Zhu, Kaikai An, Leyi Li, Xu Tan, Chunyu Wang, HsiangTao Wu, Sheng Zhao, Jiang Bian
2024 International Conference on Learning Representations | May 2024
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Whittle Index with Multiple Actions and State Constraint for Inventory Management
Chuheng Zhang, Xiangsen Wang, Wei Jiang, Xianliang Yang, Siwei Wang, Lei Song, Jiang Bian
2024 International Conference on Learning Representations | May 2024
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DPO Meets PPO: Reinforced Token Optimization for RLHF
Han Zhong, Guhao Feng, Wei Xiong, Li Zhao, Di He, Jiang Bian, Liwei Wang
ICML 2025 | April 2024
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Protecting Your LLMs with Information Bottleneck
Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian
NeurIPS 2024 | April 2024
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RD2Bench: Toward Data-Centric Automatic R&D
Haotian Chen, Xinjie Shen, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Jiang Bian
April 2024
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MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process
Xinyao Fan, Yueying Wu, Chang Xu, Yuhao Huang, Weiqing Liu, Jiang Bian
ICLR 2024 | March 2024
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AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models
Yuancheng Wang, Zeqian Ju, Xu Tan, Lei He, Zhizheng Wu, Jiang Bian, Sheng Zhao
NeurIPS 2023 | December 2023
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Near-real-time monitoring of global ocean carbon sink
Piyu Ke, Xiaofan Gui, Wei Cao, Dezhi Wang, Ce Hou, Lixing Wang, Xuanren Song, Yun Li, Biqing Zhu, Jiang Bian, Stephen Sitch, Philippe Ciais, Pierre Friedlingstein, Zhu Liu
December 2023
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Distributional Pareto-Optimal Multi-Objective Reinforcement Learning
Xinqiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley J. Llorens
2023 Neural Information Processing Systems | December 2023
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BatteryML: An Open-source platform for Machine Learning on Battery Degradation
Han Zhang, Xiaofan Gui, Shun Zheng, Ziheng Lu, Yuqi Li, Jiang Bian
ICLR 2024 | October 2023
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Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle
Xu Yang, Xiao Yang, Weiqing Liu, Jinhui Li, Peng Yu, Zeqi Ye, Jiang Bian
October 2023
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Towards Foundation Models for Learning on Tabular Data
Han Zhang, Xumeng Wen, Shun Zheng, Wei Xu, Jiang Bian
October 2023
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DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder
Tianyu He, Sheng Zhao, Jiang Bian
ACM International Conference on Multimedia | October 2023
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HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details
Tianyu He, Muscle Wu, Sheng Zhao, Jiang Bian
2023 International Conference on Computer Vision | October 2023
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UniAudio: An Audio Foundation Model Toward Universal Audio Generation
Dongchao Yang, Jinchuan Tian, Xu Tan, Rongjie Huang, Songxiang Liu, Xuankai Chang, Jiatong Shi, Sheng Zhao, Jiang Bian, Xixin Wu, Zhou Zhao, Helen Meng
ICML 2024 | September 2023
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On the Generalization Properties of Diffusion Models
Puheng Li, Zhong Li, Huishuai Zhang, Jiang Bian
2023 Neural Information Processing Systems | September 2023
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Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Qingyan Guo, Rui Wang, Junliang Guo, Bei Li, Kaitao Song, Xu Tan, Guoqing Liu, Jiang Bian, Yuqing Yang
ICLR 2024 | September 2023
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PromptTTS 2: Describing and Generating Voices with Text Prompt
Yichong Leng, Zhifang Guo, Kai Shen, Xu Tan, Zeqian Ju, Yanqing Liu, Yufei Liu, Dongchao Yang, Leying Zhang, Kaitao Song, Lei He, Xiang-Yang Li, Sheng Zhao, Tao Qin, Jiang Bian
ICLR 2024 | September 2023
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Learning Pareto-Optimal Policies for Multi-Objective Joint Distribution
Xin-Qiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley J. Llorens
NeurIPS 2023 | September 2023
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Robust Situational Reinforcement Learning in Face of Context Disturbances
Jinpeng Zhang, Yufeng Zheng, Chuheng Zhang, Li Zhao, Lei Song, Yuan Zhou, Jiang Bian
Proceedings of the 40th International Conference on Machine Learning (ICML) | September 2023
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Pre-Trained Large Language Models for Industrial Control
Lei Song, Chuheng Zhang, Li Zhao, Jiang Bian
ArXiv | August 2023, Vol abs/2308.03028
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MuseCoco: Generating Symbolic Music from Text
Peiling Lu, Xin Xu, Chenfei Kang, Botao Yu, Chengyi Xing, Xu Tan, Jiang Bian
June 2023
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Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan (Jana) Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian
International Conference on Learning Representations (ICLR) 2023 | May 2023
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Learning Physics-Informed Neural Networks without Stacked Back-propagation
Di He, Wenlei Shi, Shanda Li, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu
AISTATS 2023 | April 2023
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NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers
Kai Shen, Zeqian Ju, Xu Tan, Yanqing Liu, Yichong Leng, Lei He, Tao Qin, Sheng Zhao, Jiang Bian
ICLR 2024 | April 2023
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Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem
Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian
AAAI 2023 | February 2023
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TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets
Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tie-Yan Liu
IEEE International Conference on Data Mining (Best Student Paper Runner-Up Awards) | January 2023
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Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations
Xiaozhuang Song, Shun Zheng, Wei Cao, James Yu, Jiang Bian
2022 Neural Information Processing Systems | November 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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Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble
Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
IJCAI 2022 | July 2022
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DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting
Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu
ICLR 2022 | April 2022
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Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction
Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian
WWW 2022 | April 2022
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DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation
Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian
AAAI 2022 | January 2022
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Mimicking atmospheric photochemical modeling with a deep neural network
Jia Xing, Shuxin Zheng, Siwei Li, Lin Huang, Xiaochun Wang, James T Kelly, Shuxiao Wang, Chang Liu, Carey J. Jang, Yun Zhu, Jia Zhang, Jiang Bian, Tie-Yan Liu, Jiming Hao
Atmospheric Research | December 2021, Vol 265: pp. 105919
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ADD: Augmented Disentanglement Distillation Framework for Improving Stock Trend Forecasting
Hongshun Tang, Lijun Wu, Weiqing Liu, Jiang Bian
December 2021
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Deep Risk Model: A Deep Learning Solution for Mining Latent Risk Factors to Improve Covariance Matrix Estimation
Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian
ICAIF 2021 | November 2021
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Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport
Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian
KDD 2021 | August 2021
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Exploring deep learning for air pollutant emission estimation
Lin Huang, Song Liu, Zeyuan Yang, Jia Xing, Jia Zhang, Jiang Bian, Siwei Li, Shovan Kumar Sahu, Shuxiao Wang, Tie-Yan Liu
Geoscientific Model Development | July 2021, Vol 14(7): pp. 4641-4654
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REST: Relational Event-driven Stock Trend Forecasting
Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu
2021 The Web Conference | April 2021
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Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion
Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian
CIKM 221 | April 2021
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Universal Trading for Order Execution with Oracle Policy Distillation
Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu
AAAI | February 2021
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Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations
Wenlei Shi, Xinran Wei, Jia Zhang, Xiaoyuan Ni, Arthur Jiang, Jiang Bian, Tie-Yan Liu
AAMAS 2021 | December 2020
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Invertible Image Rescaling
Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu
16th European Conference Computer Vision (ECCV 2020) | August 2020
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Trimming the Sail: A Second-order Learning Paradigm for Stock Prediction
Chi Chen, Li Zhao, Wei Cao, Jiang Bian, Chunxiao Xing
February 2020
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A Divide-and-Conquer Framework for Attention-based Combination of Multiple Investment Strategies
Xiao Yang, Weiqing Liu, Lewen Wang, Cheng Qu, Jiang Bian
2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) | November 2019
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Conservative or Aggressive? Confidence-Aware Dynamic Portfolio Construction
Lewen Wang, Weiqing Liu, Xiao Yang, Jiang Bian
2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) | November 2019
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Demonstration Actor Critic
Guoqing Liu, Li Zhao, Pushi Zhang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
November 2019
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DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks
Guolin Ke, Zhenhui Xu, Jia Zhang, Jiang Bian, Tie-Yan Liu
KDD '19 Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining | August 2019
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Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding
Zhige Li, Derek Yang, Li Zhao, Jiang Bian, Tao Qin, Tie-Yan Liu
25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2019
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Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction
Chi Chen, Li Zhao, Jiang Bian, Chunxiao Xing, Tie-Yan Liu
25th ACM SIGKDD Conference on Knowledge Discover and Data Mining(KDD 2019) | August 2019
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A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network
Xihan Li, Jia Zhang, Jiang Bian, Yunhai Tong, Tie-Yan Liu
AAMAS 2019 | March 2019
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Trust Region Evolution Strategies
Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence | February 2019
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Investor-Imitator: A Framework for Trading Knowledge Extraction
Yi Ding, Weiqing Liu, Jiang Bian, Daoqiang Zhang, Tie-Yan Liu
Knowledge Discovery & Data Mining | July 2018
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CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing
Yu Yuan, Shizhao Sun, Qi Liu, Jiang Bian
ICML 2025 | July 2025
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Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models
Ruiyu Wang, Yu Yuan, Shizhao Sun, Jiang Bian
2025 International Conference on Machine Learning | July 2025
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From Elements to Design: A Layered Approach for Automatic Graphic Design Composition
Jiawei Lin, Shizhao Sun, Danqing Huang, Ting Liu, Ji Li, Jiang Bian
2025 Computer Vision and Pattern Recognition | June 2025
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FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models
Zhanwei Zhang, Shizhao Sun, Wenxiao Wang, Deng Cai, Jiang Bian (jiabia)
2025 International Conference on Learning Representations | April 2025
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TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation
Bowen Deng, Chang Xu, Hao Li, Yuhao Huang, Min Hou, Jiang Bian
ArXiv | April 2025, Vol abs/2504.17613
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BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling
Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Ren-He Jiang, R. Batista-Navarro, Goran Nenadic, Jiang Bian
ICML 2025 | March 2025
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AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence
Yuliang Liu, Junjie Lu, Zhaoling Chen, Chaofeng Qu, Jason Klein Liu, Chonghan Liu, Zefan Cai, Yunhui Xia, Li Zhao, Jiang Bian, Chuheng Zhang, Wei Shen, Zhouhan Lin
ICML 2025 | February 2025
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PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation
Jinyu Wang, Jingjing Fu, Rui Wang, Lei Song, Jiang Bian
February 2025
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TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
Yu-Hao Huang, Chang Xu, Yueying Wu, Jiang Bian
January 2025
January 2025
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TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting
Huanyu Zhang, Chang Xu, Yi-Fan Zhang, Zhang Zhang, Liang Wang, Tien-Ping Tan, Jiang Bian
ArXiv | December 2024, Vol abs/2412.20810
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VidTok: A Versatile and Open-Source Video Tokenizer
Anni Tang, Tianyu He, Junliang Guo, Xinle Cheng, Li Song, Jiang Bian
December 2024
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InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models
Min Hou, Yueying Wu, Chang Xu, Yu-Hao Huang, Chenxi Bai, Le Wu, Jiang Bian
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1 | December 2024
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ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer
Shun Zheng, Xumeng Wen, Jiang Bian
2024 Neural Information Processing Systems | December 2024
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IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Xiaoyu Chen, Junliang Guo, Tianyu He, Chuheng Zhang, Pushi Zhang, Derek Yang, Li Zhao, Jiang Bian
October 2024
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BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning
Xiao Yang, Xu Yang, Weiqing Liu, Lewen Wang, Jiang Bian
2024 Neural Information Processing Systems | October 2024
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Policy Filtration for RLHF to Mitigate Noise in Reward Models
Chuheng Zhang, Wei Shen, Li Zhao, Xuyun Zhang, Xiaolong Xu, Wanchun Dou, Jiang Bian
ICML 2025 | September 2024
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MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model
Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian
September 2024
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Compositional 3D-aware Video Generation with LLM Director
Hanxin Zhu, Tianyu He, Anni Tang, Junliang Guo, Zhibo Chen, Jiang Bian
NeurIPS 2024 | August 2024
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Controllable Financial Market Generation with Diffusion Guided Meta Agent
Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian
August 2024
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LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data
Xinquan Huang, Wenlei Shi, Xiaotian Gao, Xinran wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu
Neural Networks | August 2024
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Diversification of Adaptive Policy for Effective Offline Reinforcement Learning
Yunseon Choi, Li Zhao, Chuheng Zhang, Lei Song, Jiang Bian, Kee-Eung Kim
IJCAI 2024 | July 2024
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Low latency carbon budget analysis reveals a large decline of the land carbon sink in 2023
Piyu Ke, P. Ciais, S. Sitch, Wei Li, Ana Bastos, Zhu Liu, Yidi Xu, Xiaofan Gui, Jiang Bian, D. Goll, Yi Xi, Wanjing Li, Mike O’Sullivan, Jeffeson Goncalves de Souza, P. Friedlingstein, F. Chevallier
National Science Review | July 2024
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NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time Series Pretraining
Chenguo Lin, Xumeng Wen, Wei Cao, Congrui Huang, Jiang Bian, Stephen Lin, Zhirong Wu
Transactions on Machine Learning Research | July 2024
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ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
Jiawen Zhang, Xumeng Wen, Zhenwei Zhang, Shun Zheng, Jia Li, Jiang Bian
NeurIPS 2024 | June 2024
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Memories are One-to-Many Mapping Alleviators in Talking Face Generation
Tianyu He, Sheng Zhao, Jiang Bian
IEEE Transactions on Pattern Analysis and Machine Intelligence | June 2024
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NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models
Zeqian Ju, Yuancheng Wang, Kai Shen, Xu Tan, Detai Xin, Dongchao Yang, Yanqing Liu, Yichong Leng, Kaitao Song, Siliang Tang, Zhizheng Wu, Tao Qin, Xiang-Yang Li, Wei Ye, Shikun Zhang, Jiang Bian, Lei He, Jinyu Li, Sheng Zhao
ICML | June 2024
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Whittle Index with Multiple Actions and State Constraint for Inventory Management
Chuheng Zhang, Xiangsen Wang, Wei Jiang, Xianliang Yang, Siwei Wang, Lei Song, Jiang Bian
2024 International Conference on Learning Representations | May 2024
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GAIA: Zero-shot Talking Avatar Generation
Tianyu He, Junliang Guo, Runyi Yu, Yuchi Wang, Jialiang Zhu, Kaikai An, Leyi Li, Xu Tan, Chunyu Wang, HsiangTao Wu, Sheng Zhao, Jiang Bian
2024 International Conference on Learning Representations | May 2024
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DPO Meets PPO: Reinforced Token Optimization for RLHF
Han Zhong, Guhao Feng, Wei Xiong, Li Zhao, Di He, Jiang Bian, Liwei Wang
ICML 2025 | April 2024
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Protecting Your LLMs with Information Bottleneck
Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian
NeurIPS 2024 | April 2024
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RD2Bench: Toward Data-Centric Automatic R&D
Haotian Chen, Xinjie Shen, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Jiang Bian
April 2024
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MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process
Xinyao Fan, Yueying Wu, Chang Xu, Yuhao Huang, Weiqing Liu, Jiang Bian
ICLR 2024 | March 2024
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AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models
Yuancheng Wang, Zeqian Ju, Xu Tan, Lei He, Zhizheng Wu, Jiang Bian, Sheng Zhao
NeurIPS 2023 | December 2023
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Distributional Pareto-Optimal Multi-Objective Reinforcement Learning
Xinqiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley J. Llorens
2023 Neural Information Processing Systems | December 2023
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BatteryML: An Open-source platform for Machine Learning on Battery Degradation
Han Zhang, Xiaofan Gui, Shun Zheng, Ziheng Lu, Yuqi Li, Jiang Bian
ICLR 2024 | October 2023
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Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle
Xu Yang, Xiao Yang, Weiqing Liu, Jinhui Li, Peng Yu, Zeqi Ye, Jiang Bian
October 2023
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Towards Foundation Models for Learning on Tabular Data
Han Zhang, Xumeng Wen, Shun Zheng, Wei Xu, Jiang Bian
October 2023
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DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder
Tianyu He, Sheng Zhao, Jiang Bian
ACM International Conference on Multimedia | October 2023
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HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details
Tianyu He, Muscle Wu, Sheng Zhao, Jiang Bian
2023 International Conference on Computer Vision | October 2023
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UniAudio: An Audio Foundation Model Toward Universal Audio Generation
Dongchao Yang, Jinchuan Tian, Xu Tan, Rongjie Huang, Songxiang Liu, Xuankai Chang, Jiatong Shi, Sheng Zhao, Jiang Bian, Xixin Wu, Zhou Zhao, Helen Meng
ICML 2024 | September 2023
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On the Generalization Properties of Diffusion Models
Puheng Li, Zhong Li, Huishuai Zhang, Jiang Bian
2023 Neural Information Processing Systems | September 2023
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Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Qingyan Guo, Rui Wang, Junliang Guo, Bei Li, Kaitao Song, Xu Tan, Guoqing Liu, Jiang Bian, Yuqing Yang
ICLR 2024 | September 2023
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PromptTTS 2: Describing and Generating Voices with Text Prompt
Yichong Leng, Zhifang Guo, Kai Shen, Xu Tan, Zeqian Ju, Yanqing Liu, Yufei Liu, Dongchao Yang, Leying Zhang, Kaitao Song, Lei He, Xiang-Yang Li, Sheng Zhao, Tao Qin, Jiang Bian
ICLR 2024 | September 2023
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Learning Pareto-Optimal Policies for Multi-Objective Joint Distribution
Xin-Qiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley J. Llorens
NeurIPS 2023 | September 2023
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Robust Situational Reinforcement Learning in Face of Context Disturbances
Jinpeng Zhang, Yufeng Zheng, Chuheng Zhang, Li Zhao, Lei Song, Yuan Zhou, Jiang Bian
Proceedings of the 40th International Conference on Machine Learning (ICML) | September 2023
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Pre-Trained Large Language Models for Industrial Control
Lei Song, Chuheng Zhang, Li Zhao, Jiang Bian
ArXiv | August 2023, Vol abs/2308.03028
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MuseCoco: Generating Symbolic Music from Text
Peiling Lu, Xin Xu, Chenfei Kang, Botao Yu, Chengyi Xing, Xu Tan, Jiang Bian
June 2023
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Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan (Jana) Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian
International Conference on Learning Representations (ICLR) 2023 | May 2023
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Learning Physics-Informed Neural Networks without Stacked Back-propagation
Di He, Wenlei Shi, Shanda Li, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu
AISTATS 2023 | April 2023
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NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers
Kai Shen, Zeqian Ju, Xu Tan, Yanqing Liu, Yichong Leng, Lei He, Tao Qin, Sheng Zhao, Jiang Bian
ICLR 2024 | April 2023
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Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem
Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian
AAAI 2023 | February 2023
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TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets
Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tie-Yan Liu
IEEE International Conference on Data Mining (Best Student Paper Runner-Up Awards) | January 2023
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Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations
Xiaozhuang Song, Shun Zheng, Wei Cao, James Yu, Jiang Bian
2022 Neural Information Processing Systems | November 2022
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Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble
Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
IJCAI 2022 | July 2022
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DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting
Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu
ICLR 2022 | April 2022
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DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation
Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian
AAAI 2022 | January 2022
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Mimicking atmospheric photochemical modeling with a deep neural network
Jia Xing, Shuxin Zheng, Siwei Li, Lin Huang, Xiaochun Wang, James T Kelly, Shuxiao Wang, Chang Liu, Carey J. Jang, Yun Zhu, Jia Zhang, Jiang Bian, Tie-Yan Liu, Jiming Hao
Atmospheric Research | December 2021, Vol 265: pp. 105919
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ADD: Augmented Disentanglement Distillation Framework for Improving Stock Trend Forecasting
Hongshun Tang, Lijun Wu, Weiqing Liu, Jiang Bian
December 2021
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Deep Risk Model: A Deep Learning Solution for Mining Latent Risk Factors to Improve Covariance Matrix Estimation
Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian
ICAIF 2021 | November 2021
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Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport
Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian
KDD 2021 | August 2021
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Exploring deep learning for air pollutant emission estimation
Lin Huang, Song Liu, Zeyuan Yang, Jia Xing, Jia Zhang, Jiang Bian, Siwei Li, Shovan Kumar Sahu, Shuxiao Wang, Tie-Yan Liu
Geoscientific Model Development | July 2021, Vol 14(7): pp. 4641-4654
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Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion
Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian
CIKM 221 | April 2021
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REST: Relational Event-driven Stock Trend Forecasting
Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu
2021 The Web Conference | April 2021
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Universal Trading for Order Execution with Oracle Policy Distillation
Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu
AAAI | February 2021
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Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations
Wenlei Shi, Xinran Wei, Jia Zhang, Xiaoyuan Ni, Arthur Jiang, Jiang Bian, Tie-Yan Liu
AAMAS 2021 | December 2020
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Trimming the Sail: A Second-order Learning Paradigm for Stock Prediction
Chi Chen, Li Zhao, Wei Cao, Jiang Bian, Chunxiao Xing
February 2020
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Conservative or Aggressive? Confidence-Aware Dynamic Portfolio Construction
Lewen Wang, Weiqing Liu, Xiao Yang, Jiang Bian
2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) | November 2019
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A Divide-and-Conquer Framework for Attention-based Combination of Multiple Investment Strategies
Xiao Yang, Weiqing Liu, Lewen Wang, Cheng Qu, Jiang Bian
2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) | November 2019
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Demonstration Actor Critic
Guoqing Liu, Li Zhao, Pushi Zhang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
November 2019
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Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding
Zhige Li, Derek Yang, Li Zhao, Jiang Bian, Tao Qin, Tie-Yan Liu
25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2019
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Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction
Chi Chen, Li Zhao, Jiang Bian, Chunxiao Xing, Tie-Yan Liu
25th ACM SIGKDD Conference on Knowledge Discover and Data Mining(KDD 2019) | August 2019
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A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network
Xihan Li, Jia Zhang, Jiang Bian, Yunhai Tong, Tie-Yan Liu
AAMAS 2019 | March 2019
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Trust Region Evolution Strategies
Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence | February 2019
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Investor-Imitator: A Framework for Trading Knowledge Extraction
Yi Ding, Weiqing Liu, Jiang Bian, Daoqiang Zhang, Tie-Yan Liu
Knowledge Discovery & Data Mining | July 2018
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CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing
Yu Yuan, Shizhao Sun, Qi Liu, Jiang Bian
ICML 2025 | July 2025
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Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models
Ruiyu Wang, Yu Yuan, Shizhao Sun, Jiang Bian
2025 International Conference on Machine Learning | July 2025
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From Elements to Design: A Layered Approach for Automatic Graphic Design Composition
Jiawei Lin, Shizhao Sun, Danqing Huang, Ting Liu, Ji Li, Jiang Bian
2025 Computer Vision and Pattern Recognition | June 2025
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FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models
Zhanwei Zhang, Shizhao Sun, Wenxiao Wang, Deng Cai, Jiang Bian (jiabia)
2025 International Conference on Learning Representations | April 2025
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VidTok: A Versatile and Open-Source Video Tokenizer
Anni Tang, Tianyu He, Junliang Guo, Xinle Cheng, Li Song, Jiang Bian
December 2024
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Video In-context Learning
Wentao Zhang, Junliang Guo, Tianyu He, Li Zhao, Linli Xu, Jiang Bian
July 2024
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Memories are One-to-Many Mapping Alleviators in Talking Face Generation
Tianyu He, Sheng Zhao, Jiang Bian
IEEE Transactions on Pattern Analysis and Machine Intelligence | June 2024
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DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder
Tianyu He, Sheng Zhao, Jiang Bian
ACM International Conference on Multimedia | October 2023
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HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details
Tianyu He, Muscle Wu, Sheng Zhao, Jiang Bian
2023 International Conference on Computer Vision | October 2023
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Invertible Image Rescaling
Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu
16th European Conference Computer Vision (ECCV 2020) | August 2020
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PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation
Jinyu Wang, Jingjing Fu, Rui Wang, Lei Song, Jiang Bian
February 2025
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PromptTTS 2: Describing and Generating Voices with Text Prompt
Yichong Leng, Zhifang Guo, Kai Shen, Xu Tan, Zeqian Ju, Yanqing Liu, Yufei Liu, Dongchao Yang, Leying Zhang, Kaitao Song, Lei He, Xiang-Yang Li, Sheng Zhao, Tao Qin, Jiang Bian
ICLR 2024 | September 2023
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NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers
Kai Shen, Zeqian Ju, Xu Tan, Yanqing Liu, Yichong Leng, Lei He, Tao Qin, Sheng Zhao, Jiang Bian
ICLR 2024 | April 2023
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PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation
Jinyu Wang, Jingjing Fu, Rui Wang, Lei Song, Jiang Bian
February 2025
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Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction
Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian
WWW 2022 | April 2022
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MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model
Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian
September 2024
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Controllable Financial Market Generation with Diffusion Guided Meta Agent
Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian
August 2024
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RD2Bench: Toward Data-Centric Automatic R&D
Haotian Chen, Xinjie Shen, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Jiang Bian
April 2024
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Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle
Xu Yang, Xiao Yang, Weiqing Liu, Jinhui Li, Peng Yu, Zeqi Ye, Jiang Bian
October 2023
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Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
Yifan Xia, Xianliang Yang, Zichuan Liu, Zhihao Liu, Lei Song, Jiang Bian
2024 International Conference on Machine Learning | June 2024
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Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion
Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian
CIKM 221 | April 2021
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DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks
Guolin Ke, Zhenhui Xu, Jia Zhang, Jiang Bian, Tie-Yan Liu
KDD '19 Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining | August 2019
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NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models
Zeqian Ju, Yuancheng Wang, Kai Shen, Xu Tan, Detai Xin, Dongchao Yang, Yanqing Liu, Yichong Leng, Kaitao Song, Siliang Tang, Zhizheng Wu, Tao Qin, Xiang-Yang Li, Wei Ye, Shikun Zhang, Jiang Bian, Lei He, Jinyu Li, Sheng Zhao
ICML | June 2024
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MuseCoco: Generating Symbolic Music from Text
Peiling Lu, Xin Xu, Chenfei Kang, Botao Yu, Chengyi Xing, Xu Tan, Jiang Bian
June 2023
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Near-real-time monitoring of global ocean carbon sink
Piyu Ke, Xiaofan Gui, Wei Cao, Dezhi Wang, Ce Hou, Lixing Wang, Xuanren Song, Yun Li, Biqing Zhu, Jiang Bian, Stephen Sitch, Philippe Ciais, Pierre Friedlingstein, Zhu Liu
December 2023
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Mimicking atmospheric photochemical modeling with a deep neural network
Jia Xing, Shuxin Zheng, Siwei Li, Lin Huang, Xiaochun Wang, James T Kelly, Shuxiao Wang, Chang Liu, Carey J. Jang, Yun Zhu, Jia Zhang, Jiang Bian, Tie-Yan Liu, Jiming Hao
Atmospheric Research | December 2021, Vol 265: pp. 105919
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Exploring deep learning for air pollutant emission estimation
Lin Huang, Song Liu, Zeyuan Yang, Jia Xing, Jia Zhang, Jiang Bian, Siwei Li, Shovan Kumar Sahu, Shuxiao Wang, Tie-Yan Liu
Geoscientific Model Development | July 2021, Vol 14(7): pp. 4641-4654
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On the Generalization Properties of Diffusion Models
Puheng Li, Zhong Li, Huishuai Zhang, Jiang Bian
2023 Neural Information Processing Systems | September 2023
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Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan (Jana) Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian
International Conference on Learning Representations (ICLR) 2023 | May 2023
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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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Learning Physics-Informed Neural Networks without Stacked Back-propagation
Di He, Wenlei Shi, Shanda Li, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu
AISTATS 2023 | April 2023
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TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation
Bowen Deng, Chang Xu, Hao Li, Yuhao Huang, Min Hou, Jiang Bian
ArXiv | April 2025, Vol abs/2504.17613
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TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting
Huanyu Zhang, Chang Xu, Yi-Fan Zhang, Zhang Zhang, Liang Wang, Tien-Ping Tan, Jiang Bian
ArXiv | December 2024, Vol abs/2412.20810
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InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models
Min Hou, Yueying Wu, Chang Xu, Yu-Hao Huang, Chenxi Bai, Le Wu, Jiang Bian
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1 | December 2024
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LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data
Xinquan Huang, Wenlei Shi, Xiaotian Gao, Xinran wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu
Neural Networks | August 2024
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Low latency carbon budget analysis reveals a large decline of the land carbon sink in 2023
Piyu Ke, P. Ciais, S. Sitch, Wei Li, Ana Bastos, Zhu Liu, Yidi Xu, Xiaofan Gui, Jiang Bian, D. Goll, Yi Xi, Wanjing Li, Mike O’Sullivan, Jeffeson Goncalves de Souza, P. Friedlingstein, F. Chevallier
National Science Review | July 2024
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NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time Series Pretraining
Chenguo Lin, Xumeng Wen, Wei Cao, Congrui Huang, Jiang Bian, Stephen Lin, Zhirong Wu
Transactions on Machine Learning Research | July 2024
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Memories are One-to-Many Mapping Alleviators in Talking Face Generation
Tianyu He, Sheng Zhao, Jiang Bian
IEEE Transactions on Pattern Analysis and Machine Intelligence | June 2024
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Pre-Trained Large Language Models for Industrial Control
Lei Song, Chuheng Zhang, Li Zhao, Jiang Bian
ArXiv | August 2023, Vol abs/2308.03028
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Mimicking atmospheric photochemical modeling with a deep neural network
Jia Xing, Shuxin Zheng, Siwei Li, Lin Huang, Xiaochun Wang, James T Kelly, Shuxiao Wang, Chang Liu, Carey J. Jang, Yun Zhu, Jia Zhang, Jiang Bian, Tie-Yan Liu, Jiming Hao
Atmospheric Research | December 2021, Vol 265: pp. 105919
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Exploring deep learning for air pollutant emission estimation
Lin Huang, Song Liu, Zeyuan Yang, Jia Xing, Jia Zhang, Jiang Bian, Siwei Li, Shovan Kumar Sahu, Shuxiao Wang, Tie-Yan Liu
Geoscientific Model Development | July 2021, Vol 14(7): pp. 4641-4654
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CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing
Yu Yuan, Shizhao Sun, Qi Liu, Jiang Bian
ICML 2025 | July 2025
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Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models
Ruiyu Wang, Yu Yuan, Shizhao Sun, Jiang Bian
2025 International Conference on Machine Learning | July 2025
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From Elements to Design: A Layered Approach for Automatic Graphic Design Composition
Jiawei Lin, Shizhao Sun, Danqing Huang, Ting Liu, Ji Li, Jiang Bian
2025 Computer Vision and Pattern Recognition | June 2025
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FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models
Zhanwei Zhang, Shizhao Sun, Wenxiao Wang, Deng Cai, Jiang Bian (jiabia)
2025 International Conference on Learning Representations | April 2025
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BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling
Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Ren-He Jiang, R. Batista-Navarro, Goran Nenadic, Jiang Bian
ICML 2025 | March 2025
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AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence
Yuliang Liu, Junjie Lu, Zhaoling Chen, Chaofeng Qu, Jason Klein Liu, Chonghan Liu, Zefan Cai, Yunhui Xia, Li Zhao, Jiang Bian, Chuheng Zhang, Wei Shen, Zhouhan Lin
ICML 2025 | February 2025
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ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer
Shun Zheng, Xumeng Wen, Jiang Bian
2024 Neural Information Processing Systems | December 2024
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IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Xiaoyu Chen, Junliang Guo, Tianyu He, Chuheng Zhang, Pushi Zhang, Derek Yang, Li Zhao, Jiang Bian
October 2024
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BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning
Xiao Yang, Xu Yang, Weiqing Liu, Lewen Wang, Jiang Bian
2024 Neural Information Processing Systems | October 2024
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Policy Filtration for RLHF to Mitigate Noise in Reward Models
Chuheng Zhang, Wei Shen, Li Zhao, Xuyun Zhang, Xiaolong Xu, Wanchun Dou, Jiang Bian
ICML 2025 | September 2024
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Compositional 3D-aware Video Generation with LLM Director
Hanxin Zhu, Tianyu He, Anni Tang, Junliang Guo, Zhibo Chen, Jiang Bian
NeurIPS 2024 | August 2024
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Diversification of Adaptive Policy for Effective Offline Reinforcement Learning
Yunseon Choi, Li Zhao, Chuheng Zhang, Lei Song, Jiang Bian, Kee-Eung Kim
IJCAI 2024 | July 2024
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ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
Jiawen Zhang, Xumeng Wen, Zhenwei Zhang, Shun Zheng, Jia Li, Jiang Bian
NeurIPS 2024 | June 2024
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Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
Yifan Xia, Xianliang Yang, Zichuan Liu, Zhihao Liu, Lei Song, Jiang Bian
2024 International Conference on Machine Learning | June 2024
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NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models
Zeqian Ju, Yuancheng Wang, Kai Shen, Xu Tan, Detai Xin, Dongchao Yang, Yanqing Liu, Yichong Leng, Kaitao Song, Siliang Tang, Zhizheng Wu, Tao Qin, Xiang-Yang Li, Wei Ye, Shikun Zhang, Jiang Bian, Lei He, Jinyu Li, Sheng Zhao
ICML | June 2024
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Whittle Index with Multiple Actions and State Constraint for Inventory Management
Chuheng Zhang, Xiangsen Wang, Wei Jiang, Xianliang Yang, Siwei Wang, Lei Song, Jiang Bian
2024 International Conference on Learning Representations | May 2024
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GAIA: Zero-shot Talking Avatar Generation
Tianyu He, Junliang Guo, Runyi Yu, Yuchi Wang, Jialiang Zhu, Kaikai An, Leyi Li, Xu Tan, Chunyu Wang, HsiangTao Wu, Sheng Zhao, Jiang Bian
2024 International Conference on Learning Representations | May 2024
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DPO Meets PPO: Reinforced Token Optimization for RLHF
Han Zhong, Guhao Feng, Wei Xiong, Li Zhao, Di He, Jiang Bian, Liwei Wang
ICML 2025 | April 2024
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Protecting Your LLMs with Information Bottleneck
Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian
NeurIPS 2024 | April 2024
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MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process
Xinyao Fan, Yueying Wu, Chang Xu, Yuhao Huang, Weiqing Liu, Jiang Bian
ICLR 2024 | March 2024
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AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models
Yuancheng Wang, Zeqian Ju, Xu Tan, Lei He, Zhizheng Wu, Jiang Bian, Sheng Zhao
NeurIPS 2023 | December 2023
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Distributional Pareto-Optimal Multi-Objective Reinforcement Learning
Xinqiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley J. Llorens
2023 Neural Information Processing Systems | December 2023
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BatteryML: An Open-source platform for Machine Learning on Battery Degradation
Han Zhang, Xiaofan Gui, Shun Zheng, Ziheng Lu, Yuqi Li, Jiang Bian
ICLR 2024 | October 2023
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DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder
Tianyu He, Sheng Zhao, Jiang Bian
ACM International Conference on Multimedia | October 2023
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HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details
Tianyu He, Muscle Wu, Sheng Zhao, Jiang Bian
2023 International Conference on Computer Vision | October 2023
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UniAudio: An Audio Foundation Model Toward Universal Audio Generation
Dongchao Yang, Jinchuan Tian, Xu Tan, Rongjie Huang, Songxiang Liu, Xuankai Chang, Jiatong Shi, Sheng Zhao, Jiang Bian, Xixin Wu, Zhou Zhao, Helen Meng
ICML 2024 | September 2023
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On the Generalization Properties of Diffusion Models
Puheng Li, Zhong Li, Huishuai Zhang, Jiang Bian
2023 Neural Information Processing Systems | September 2023
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Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Qingyan Guo, Rui Wang, Junliang Guo, Bei Li, Kaitao Song, Xu Tan, Guoqing Liu, Jiang Bian, Yuqing Yang
ICLR 2024 | September 2023
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PromptTTS 2: Describing and Generating Voices with Text Prompt
Yichong Leng, Zhifang Guo, Kai Shen, Xu Tan, Zeqian Ju, Yanqing Liu, Yufei Liu, Dongchao Yang, Leying Zhang, Kaitao Song, Lei He, Xiang-Yang Li, Sheng Zhao, Tao Qin, Jiang Bian
ICLR 2024 | September 2023
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Learning Pareto-Optimal Policies for Multi-Objective Joint Distribution
Xin-Qiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley J. Llorens
NeurIPS 2023 | September 2023
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Robust Situational Reinforcement Learning in Face of Context Disturbances
Jinpeng Zhang, Yufeng Zheng, Chuheng Zhang, Li Zhao, Lei Song, Yuan Zhou, Jiang Bian
Proceedings of the 40th International Conference on Machine Learning (ICML) | September 2023
-
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan (Jana) Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian
International Conference on Learning Representations (ICLR) 2023 | May 2023
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Learning Physics-Informed Neural Networks without Stacked Back-propagation
Di He, Wenlei Shi, Shanda Li, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu
AISTATS 2023 | April 2023
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NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers
Kai Shen, Zeqian Ju, Xu Tan, Yanqing Liu, Yichong Leng, Lei He, Tao Qin, Sheng Zhao, Jiang Bian
ICLR 2024 | April 2023
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Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem
Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian
AAAI 2023 | February 2023
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TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets
Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tie-Yan Liu
IEEE International Conference on Data Mining (Best Student Paper Runner-Up Awards) | January 2023
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Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations
Xiaozhuang Song, Shun Zheng, Wei Cao, James Yu, Jiang Bian
2022 Neural Information Processing Systems | November 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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Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble
Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
IJCAI 2022 | July 2022
-
Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction
Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian
WWW 2022 | April 2022
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DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting
Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu
ICLR 2022 | April 2022
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DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation
Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian
AAAI 2022 | January 2022
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Deep Risk Model: A Deep Learning Solution for Mining Latent Risk Factors to Improve Covariance Matrix Estimation
Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian
ICAIF 2021 | November 2021
-
Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport
Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian
KDD 2021 | August 2021
-
Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion
Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian
CIKM 221 | April 2021
-
REST: Relational Event-driven Stock Trend Forecasting
Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu
2021 The Web Conference | April 2021
-
Universal Trading for Order Execution with Oracle Policy Distillation
Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu
AAAI | February 2021
-
Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations
Wenlei Shi, Xinran Wei, Jia Zhang, Xiaoyuan Ni, Arthur Jiang, Jiang Bian, Tie-Yan Liu
AAMAS 2021 | December 2020
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Invertible Image Rescaling
Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu
16th European Conference Computer Vision (ECCV 2020) | August 2020
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Conservative or Aggressive? Confidence-Aware Dynamic Portfolio Construction
Lewen Wang, Weiqing Liu, Xiao Yang, Jiang Bian
2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) | November 2019
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A Divide-and-Conquer Framework for Attention-based Combination of Multiple Investment Strategies
Xiao Yang, Weiqing Liu, Lewen Wang, Cheng Qu, Jiang Bian
2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) | November 2019
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Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding
Zhige Li, Derek Yang, Li Zhao, Jiang Bian, Tao Qin, Tie-Yan Liu
25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2019
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Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction
Chi Chen, Li Zhao, Jiang Bian, Chunxiao Xing, Tie-Yan Liu
25th ACM SIGKDD Conference on Knowledge Discover and Data Mining(KDD 2019) | August 2019
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DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks
Guolin Ke, Zhenhui Xu, Jia Zhang, Jiang Bian, Tie-Yan Liu
KDD '19 Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining | August 2019
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A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network
Xihan Li, Jia Zhang, Jiang Bian, Yunhai Tong, Tie-Yan Liu
AAMAS 2019 | March 2019
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Trust Region Evolution Strategies
Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence | February 2019
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Investor-Imitator: A Framework for Trading Knowledge Extraction
Yi Ding, Weiqing Liu, Jiang Bian, Daoqiang Zhang, Tie-Yan Liu
Knowledge Discovery & Data Mining | July 2018
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TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
Yu-Hao Huang, Chang Xu, Yueying Wu, Jiang Bian
January 2025
January 2025
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PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation
Jinyu Wang, Jingjing Fu, Rui Wang, Lei Song, Jiang Bian
February 2025
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VidTok: A Versatile and Open-Source Video Tokenizer
Anni Tang, Tianyu He, Junliang Guo, Xinle Cheng, Li Song, Jiang Bian
December 2024
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MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model
Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian
September 2024
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Controllable Financial Market Generation with Diffusion Guided Meta Agent
Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian
August 2024
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Video In-context Learning
Wentao Zhang, Junliang Guo, Tianyu He, Li Zhao, Linli Xu, Jiang Bian
July 2024
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RD2Bench: Toward Data-Centric Automatic R&D
Haotian Chen, Xinjie Shen, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Jiang Bian
April 2024
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Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle
Xu Yang, Xiao Yang, Weiqing Liu, Jinhui Li, Peng Yu, Zeqi Ye, Jiang Bian
October 2023
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Towards Foundation Models for Learning on Tabular Data
Han Zhang, Xumeng Wen, Shun Zheng, Wei Xu, Jiang Bian
October 2023
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ADD: Augmented Disentanglement Distillation Framework for Improving Stock Trend Forecasting
Hongshun Tang, Lijun Wu, Weiqing Liu, Jiang Bian
December 2021
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Trimming the Sail: A Second-order Learning Paradigm for Stock Prediction
Chi Chen, Li Zhao, Wei Cao, Jiang Bian, Chunxiao Xing
February 2020
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Near-real-time monitoring of global ocean carbon sink
Piyu Ke, Xiaofan Gui, Wei Cao, Dezhi Wang, Ce Hou, Lixing Wang, Xuanren Song, Yun Li, Biqing Zhu, Jiang Bian, Stephen Sitch, Philippe Ciais, Pierre Friedlingstein, Zhu Liu
December 2023
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MuseCoco: Generating Symbolic Music from Text
Peiling Lu, Xin Xu, Chenfei Kang, Botao Yu, Chengyi Xing, Xu Tan, Jiang Bian
June 2023
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Demonstration Actor Critic
Guoqing Liu, Li Zhao, Pushi Zhang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
November 2019
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