
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 (supervised by Prof. Ning Gu), and B.E. from department of computer science and technology, University of Science and Technology of China (USTC) in 2007. He also visited University of Colorado Boulder as a visiting scholar from 2010.8 to 2011.2 (supervised by Prof. Qin Lv and Prof. Li Shang). Dongsheng Li is a senior member of ACM and IEEE. He serves as program committee members of top conferences, e.g., NIPS, ICML, ICLR, AAAI, IJCAI, CIKM, etc. His research interests include: 1) recommender systems, e.g., collaborative filtering, explainability, privacy; 2) machine learning, e.g., graph neural network, reinforcement learning, ensemble learning, domain adaptation/generalization; 3) anomaly detection, e.g., unsupervised anomaly detection, time series anomaly detection; 4) computer vision, e.g., classification and object detection on vector graphics, etc.
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 (in Chinese): 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
Publication (selected)
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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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Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang and Ning Gu.
The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). 2023
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Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism
Jiaqi Gao, Xinyang Jiang, Yuqing Yang, Dongsheng Li, Lili Qiu.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2023
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Leveraging Pretrained Representations with Task-related Keywords for Alzheimer's Disease Detection
Jinchao Li, Kaitao Song, Junan Li, Bo Zheng, Dongsheng Li, Xixin Wu, Xunying Liu, Helen Meng.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2023
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A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition
Jinchao Li, Xixin Wu, Kaitao Song, Dongsheng Li, Xunying Liu, Helen Meng.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 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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Personalized Graph Signal Processing for Collaborative Filtering
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang and Ning Gu.
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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CL4CTR: A Contrastive Learning Framework for CTR Prediction
Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu.
The 16th ACM International Conference on Web Search and Data Mining (WSDM). 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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Parameter-free Dynamic Graph Embedding for Link Prediction
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu.
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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Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech
Kaitao Song, Teng Wan, Bixia Wang, Huiqiang Jiang, Luna Qiu, Jiahang Xu, Liping Jiang, Qun Lou, Yuqing Yang, Dongsheng Li, Xudong Wang, Lili Qiu.
The 23rd Interspeech Conference (INTERSPEECH). 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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Metabolic characterization of hypertrophic cardiomyopathy in human heart
Wenmin Wang, Jizheng Wang, Ke Yao, Shuiyun Wang, Meng Nie, Yizi Zhao, Bohong Wang, Huanhuan Pang, Jingjing Xu, Guixin Wu, Minjie Lu, Nan Tang, Chunmei Qi, Hengzhi Pei, Xufang Luo, Dongsheng Li, Tianshu Yang, Qing Sun, Xiang Wei, Yan Li, Dingsheng Jiang, Peng Li, Lei Song, Zeping Hu.
Nature Cardiovascular Research. 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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Enhancing CTR Prediction with Context-Aware Feature Representation Learning
Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu.
The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). 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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MINDSim: User Simulator for News Recommenders
Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie and Dongsheng Li.
The Web Conference (WWW). 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
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Accurate and Explainable Recommendation via Review Rationalization
Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo and Ning Gu.
The Web Conference (WWW). 2022
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FIRE: Fast Incremental Recommendation with Graph Signal Processing
Jiafeng Xia, Dongsheng Li, Hansu Gu, Jiahao Liu, Tun Lu and Ning Gu.
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
- How Powerful is Graph Convolution for Recommendation?
Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief and Dongsheng Li.
The 30th ACM International Conference on Information and Knowledge Management (CIKM). 2021
- Incremental Graph Convolutional Network for Collaborative Filtering
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang and Ning Gu.
The 30th ACM International Conference on Information and Knowledge Management (CIKM). 2021
- CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren and Yangyong Zhu.
The 30th ACM International Conference on Information and Knowledge Management (CIKM). 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
- Graph Collaborative Filtering based on Dual-Message Propagation Mechanism
Haodong Liu, Bo Yang, Dongsheng Li.
IEEE Transactions on Cybernetics (TCYB). 2021
- Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations.
Xing, X., Xiong, Y., Yang, R., Wang, R., Wang, W., Kan, H., Lu, T., Li, D., Cao, J., Peñuelas, J., Ciais, P., Bauer, N., Boucher, O., Balkanski, Y., Hauglustaine, D., Brasseur, G., Morawska, L., Janssens. I.A., Wang, X., Sardans, J., Wang, Y., Deng, Y., Wang, L., Chen, J., Tang, X., Zhang, R.
Proceedings of the National Academy of Sciences (PNAS). 2021
- Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation
Sanshi Yu, Zhuoxuan Jiang, Dongdong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). 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
- SANS: Setwise Attentional Neural Similarity Method for Few-shot Recommendation
Zhenghao Zhang, Tun Lu, Dongsheng Li, Peng Zhang, Hansu Gu, Ning Gu.
The 26th International Conference on Database Systems for Advanced Applications (DASFAA), 2021
- NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering
Dongsheng Li*, Haodong Liu*, Chao Chen, Yingying Zhao, Stephen M. Chu, Bo Yang.
ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 15Issue 6, 2021
- Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation
Chao Chen, Dongsheng Li*, Junchi Yan*, Xiaokang Yang.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 10.1109/TKDE.2021.3050407. 2021
- Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning
Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang.
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021
- Mixture Matrix Approximation for Collaborative Filtering
Dongsheng Li, Chao Chen, Tun Lu, Stephen M. Chu, Ning Gu.
IEEE Transactions on Knowledge and Data Engineering (TKDE), Volume: 33, Issue: 6, 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
- Collaborative Filtering with Noisy Ratings
Dongsheng Li, Chao Chen, Zhilin Gong, Tun Lu, Stephen M. Chu, Ning Gu.
2019 SIAM International Conference on Data Mining (SDM), 2019
- 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
- AdaError: An Adaptive Learning Rate Method for Matrix Approximation-based Collaborative Filtering
Dongsheng Li, Chao Chen, Qin Lv, Hansu Gu, Tun Lu, Li Shang, Ning Gu, Stephen M. Chu.
The Web Conference (WWW), 2018
- Mixture-Rank Matrix Approximation for Collaborative Filtering
Dongsheng Li, Chao Chen, Wei Liu, Tun Lu, Ning Gu, Stephen M. Chu.
Advances in Neural Information Processing Systems (NIPS), 2017
- ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems
Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Stephen M. Chu, Hongyuan Zha.
AAAI Conference on Artificial Intelligence (AAAI), 2017
- GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering
Chao Chen, Dongsheng Li*, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu
AAAI Conference on Artificial Intelligence (AAAI), 2017 (*Corresponding Author)
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Efficient Privacy-preserving Content Recommendation for Online Social Communities
Dongsheng Li, Qin Lv, Li Shang, Ning Gu
Neurocomputing, 2017
- Low-Rank
Matrix Approximation with Stability
Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Stephen Chu, Li Shang
International Conference on Machine Learning (ICML), 2016 code
- MPMA:
Mixture Probabilistic Matrix Approximation for Collaborative
Filtering
Chao Chen*, Dongsheng Li*, Qin Lv, Junchi Yan, Stephen M. Chu, Li Shang
International Joint Conference on Artificial Intelligence (IJCAI), 2016 (*Equal Contribution)
- An
Algorithm for Efficient Privacy-preserving Item-based
Collaborative Filtering
Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Yingying Zhao, Tun Lu, Ning Gu
Future Generation Computer Systems (FGCS), 2016
- WEMAREC:
Accurate and Scalable Recommendation through Weighted and
Ensemble Matrix Approximation
Chao Chen*, Dongsheng Li*, Yingying Zhao, Qin Lv, Li Shang
International Conference on Research and Development on Information Retrieval (SIGIR), 2015 code
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YANA: An Efficient Privacy-preserving Recommender System for Online Social Communities
Dongsheng Li, Qin Lv, Li Shang, Ning Gu
International Conference on Information and Knowledge Management (CIKM), 2011
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Pistis: A Privacy-preserving Content Recommender System for Online Social Communities
Dongsheng Li, Qin Lv, Huanhuan Xia, Li Shang, Tun Lu, Ning Gu
International Conferences on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011
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