Dongsheng Li is currently a principal research manager with Microsoft Research Asia (MSRA), Shanghai, China. Meanwhile, he is an adjunct professor with School of Computer Science, Fudan University, Shanghai, China. Before joining MSRA Shanghai, he worked as a research staff member (RSM) with IBM Research - China, Shanghai, China. He obtained Ph.D. from School of Computer Science, Fudan University in 2012, and B.E. from Department of Computer Science and Technology, University of Science and Technology of China (USTC) in 2007. He is a senior member of ACM and IEEE, and has served as program committee members of several top conferences, e.g., NIPS, ICML, ICLR, etc. His research interests include machine learning, AI for health, and recommender systems. In 2018, his work on Cognitive Recommendation Engine won the IBM Corporate Award.
Hiring (MSRA): my team is currently hiring researchers and interns major in machine learning. Please send me an email dongsli@microsoft.com if you are interested to join MSRA Shanghai.
Book: 李东胜，练建勋，张乐，任侃，卢暾，邬涛，谢幸 《推荐系统：前沿与实践》 电子工业出版社，2022
Book: Dongsheng Li, Jianxun Lian, Le Zhang, Tun Lu, Tao Wu, Xing Xie. Recommender Systems: Frontiers and Practices. Springer. 2024
Publication (by category)
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Hierarchical Recognizing Vector Graphics and A New Chart-based Vector Graphics Dataset
Shuguang Dou, Xinyang Jiang, Lu Liu, Lu Ying, Caihua Shan, Yifei Shen, Xuanyi Dong, Yun Wang, Dongsheng Li, Cairong Zhao.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2024
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LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought
Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li.
The 33rd International Joint Conference on Artificial Intelligence (IJCAI). 2024
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Disentangled Prompt Representation for Domain Generalization
De Cheng, Zhipeng Xu, Xinyang Jiang, Nannan Wang, Dongsheng Li, Xinbo Gao.
The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR). 2024
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Online Streaming Video Super-Resolution with Convolutional Look-Up Table
Guanghao Yin, Zefan Qu, Xinyang Jiang, Zhenhua Han, Ningxin Zheng, Huan Yang, Xiaohong Liu, Yuqing Yang, Dongsheng Li, Lili Qiu.
IEEE Transactions on Image Processing (TIP). 2024
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Addressing Signal Delay in Deep Reinforcement Learning
Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li.
The Twelfth International Conference on Learning Representations (ICLR). 2024 (Spotlight)
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Training-free Multi-objective Diffusion Model for 3D Molecule Generation
Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li.
The Twelfth International Conference on Learning Representations (ICLR). 2024
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CNN Kernels Can Be the Best Shapelets
Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li.
The Twelfth International Conference on Learning Representations (ICLR). 2024
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Learning Domain Invariant Prompt for Vision-Language Models
Cairong Zhao, Yubin Wang, Xinyang Jiang, Yifei Shen, Kaitao Song, Dongsheng Li, Duoqian Miao.
IEEE Transactions on Image Processing (TIP). 2024
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Large Language Models Empowered Autonomous Edge AI for Connected Intelligence
Yifei Shen, Jiawei Shao, Xinjie Zhang, Zehong Lin, Hao Pan, Dongsheng Li, Jun Zhang, Khaled B. Letaief.
IEEE Communications Magazine. 2024
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Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
Yubin Wang, Xinyang Jiang, De Cheng, Dongsheng Li, Cairong Zhao.
The Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI). 2024
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HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang.
The Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS). 2023
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ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling
Yuqi Chen, Kan Ren, Yansen Wang, Yuchen Fang, Weiwei Sun, Dongsheng Li.
The Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS). 2023
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Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models
Yubin Shi, Yixuan Chen, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert P. Dick, Qin Lv, Yingying Zhao, Fan Yang, Tun Lu, Ning Gu, Li Shang.
The Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS). 2023
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Invisible Backdoor Attack with Dynamic Triggers against Person Re-identification
Wenli Sun, Xinyang Jiang, Shuguang Dou, Dongsheng Li, Douqian Miao, Cheng Deng, Cairong Zhao.
IEEE Transactions on Information Forensics and Security (TIFS). 2023
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Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance
Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu.
The 29th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). 2023
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Towards Understanding Omission in Dialogue Summarization
Yicheng Zou, Kaitao Song, Xu Tan, Zhongkai Fu, Tao Gui, Qi Zhang and Dongsheng Li.
The 61st Annual Meeting of the Association for Computational Linguistics (ACL). 2023
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DiffusionNER: Boundary Diffusion for Named Entity Recognition
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu and Yueting Zhuang.
The 61st Annual Meeting of the Association for Computational Linguistics (ACL). 2023
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CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li.
The Fortieth International Conference on Machine Learning (ICML). 2023
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Online Video Super-Resolution with Convolutional Kernel Bypass Grafts
Jun Xiao, Xinyang Jiang, Ningxin Zheng, Huan Yang, Yifan Yang, Yuqing Yang, Dongsheng Li, Kin-Man Lam.
IEEE Transactions on Multimedia (TMM). 2023
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Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li and Ming Gao.
The Web Conference (WWW). 2023
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SIMPLE: Specialized Model-Sample Matching for Domain Generalization
Ziyue Li, Kan Ren, XINYANG JIANG, Yifei Shen, Haipeng Zhang, Dongsheng Li.
The 11th International Conference on Learning Representations (ICLR). 2023
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EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark
Shuguang Dou, XINYANG JIANG, Cai Rong Zhao, Dongsheng Li.
The 11th International Conference on Learning Representations (ICLR). 2023 (Spotlight)
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Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition
Yixuan Chen, Yubin Shi, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert Dick, Qin Lv, Yingying Zhao, Fan Yang, Ning Gu, Li Shang.
The 11th International Conference on Learning Representations (ICLR). 2023
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Explaining Temporal Graph Models through an Explorer-Navigator Framework
Wenwen Xia, Mincai Lai, Caihua Shan, Yao Zhang, Xinnan Dai, Xiang Li, Dongsheng Li.
The 11th International Conference on Learning Representations (ICLR). 2023
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Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
Eric Qu, Xufang Luo, Dongsheng Li.
The 11th International Conference on Learning Representations (ICLR). 2023 (Spotlight)
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Towards Inference Efficient Deep Ensemble Learning
Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li.
The 37th AAAI Conference on Artificial Intelligence (AAAI). 2023
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Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang.
The 37th AAAI Conference on Artificial Intelligence (AAAI). 2023
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Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li.
The 37th AAAI Conference on Artificial Intelligence (AAAI). 2023
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Similarity Distribution based Membership Inference Attack on Person Re-identification
Junyao Gao, Xinyang Jiang, Huishuai Zhang, Yifan Yang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao.
The 37th AAAI Conference on Artificial Intelligence (AAAI). 2023
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Unveiling Causal Attention in Dogs' Eyes with Smart Eyewear
Yingying Zhao, Ning Li, Wentao Pan, Yujiang Wang, Mingzhi Dong, Xianghua Ding, Qin Lv, Robert P. Dick, Dongsheng Li, Fan Yang, Tun Lu, Ning Gu, Li Shang.
ACM Interactive Mobile Wearable & Ubiquitous Technologies (IMWUT), Vol. 6, No. 4, 2022.
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Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling
Kaitao Song, Yichong Leng, Xu Tan, Yicheng Zou, Tao Qin, Dongsheng Li.
The Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS). 2022
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VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
Che Wang, Xufang Luo, Keith W. Ross, Dongsheng Li.
The Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS). 2022
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Bootstrapped Transformer for Offline Reinforcement Learning
Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li.
The Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS). 2022
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Reinforcement Learning with Automated Auxiliary Loss Search
Tairan He, Yuge Zhang, Kan Ren, Che Wang, Minghuan Liu, Weinan Zhang, Dongsheng Li, Yuqing Yang.
The Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS). 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.
The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). 2022
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Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian.
The 39th International Conference on Machine Learning (ICML). 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.
The 31st International Joint Conference on Artificial Intelligence (IJCAI). 2022
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RenderNet: Unified 2D/3D Recognizer with Latent Space Rendering
Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2022 (Oral)
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Variational oracle guiding for reinforcement learning
Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li.
The Tenth International Conference on Learning Representations (ICLR). 2022
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Recursive Disentanglement Network
Yixuan Chen, Yubin Shi, Dongsheng Li, Yujiang Wang, Mingzhi Dong, Yingying Zhao, Robert Dick, Qin Lv, Fan Yang, Li Shang.
The Tenth International Conference on Learning Representations (ICLR). 2022
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Cross-Modal Ambiguity Learning for Multimodal Fake News Detection
Yixuan Chen, Dongsheng Li, Peng Zhang, Jie Sui, Qin Lv, Lu Tun and Li Shang.
The Web Conference (WWW). 2022
- Neural Piecewise-Constant Delay Differential Equations
Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin.
Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI). 2022
- Invariant Information Bottleneck for Domain Generalization
Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado J. Reed, Jun Zhang, Dongsheng Li, Kurt Keutzer, Han Zhao.
Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI). 2022
- Recognizing Vector Graphics without Rasterization
Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li.
The 2021 Conference on Neural Information Processing Systems (NeurIPS). 2021
- Reinforcement Learning Enhanced Explainer for Graph Neural Networks
Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li.
The 2021 Conference on Neural Information Processing Systems (NeurIPS). 2021
- Towards Generating Real-World Time Series Data
Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, and Dongsheng Li.
The 21st IEEE International Conference on Data Mining (ICDM). 2021
- Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li.
International Conference on Computer Vision (ICCV). 2021
- A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline
Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang.
IEEE Transactions on Multimedia (TMM), 2021
- Learning Invariant Representations and Risks
for Semi-supervised Domain Adaptation
Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Trevor Darrell, Kurt Keutzer, Han Zhao.
The Conference on Computer Vision and Pattern Recognition (CVPR), 2021
- Collaborative Fault Detection for Large-scale Photovoltaic Systems
Yingying Zhao, Dongsheng Li, Tun Lu, Qin Lv, Li Shang, Ning Gu.
IEEE Transactions on Sustainable Energy (TSTE), Volume: 11, Issue: 4, 2020
- Hierarchical Anomaly Detection and Multimodal Classification in Large-Scale Photovoltaic Systems
Yingying Zhao, Qi Liu, Dongsheng Li, Dahai Kang, Qin Lv, Li Shang.
IEEE Transactions on Sustainable Energy (TSTE), Volume: 10, Issue: 3, 2019
Patents
- Wind power predictability enhancement using hybrid energy storage system. Application no.: 201310501062.6. (in Chinese)
- Wind power predictability enhancement by combining pitch control and ultracapacitor. Application no.: 201310500736.0. (in Chinese)
- Work-piece defect inspection via optical images and ct images. US20170161884A1.
- Job role identification. US20190279232A1.
- Training a machine learning model in a distributed privacy-preserving environment. US20180336486A1.
- Neural Network Training. US20180129917A1.
- Privacy-Preserving Smart Metering. US20180060976A1.
- Image orientation detection. US10121250B2.
- Expense compliance checking based on trajectory detection. US20180137576A1.
- Model based data processing. US20180068224A1.
- Providing Computation Services with Privacy. US10333715B2.
Honour and Awards
- Intel Fellowship, Intel, 2011
- Excellent Graduate Student, Fudan University, 2012
- Outstanding Technical Achievement Award, IBM Research, 2016
- Outstanding Technical Achievement Award, IBM Research, 2017
- Outstanding Technical Achievement Award, IBM Research, 2018
- Outstanding Technical Achievement Award, IBM Research, 2019
- IBM Corperate Award, IBM, 2018
- Lab Skill Winner, IBM Greater China Group, 2019