Dongsheng Li is currently a principal research manager with Microsoft Research Asia (MSRA), Shanghai, China, leading the MSRA Shanghai AI/ML Group. 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 published two books on recommender systems and over 200 papers in prestigious journals (e.g., PNAS, Nature Communications and TPAMI) and conferences (e.g., ICML, NeurIPS and ICLR). His research interests focus on machine learning and its applications in brain science and healthcare. He has received several awards in recent years, including the 2018 IBM Corporate Award, the EACL 2024 Outstanding Paper Award, and the 2023 China Intelligent Computing Technology Innovators Award.
We are hiring researchers and interns. Please email me 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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Mitigate Position Bias in LLMs via Scaling a Single Hidden States Channel
Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu.
Findings of the Association for Computational Linguistics (ACL). 2025
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Habitizing Diffusion Planning for Efficient and Effective Decision Making
Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han.
The Forty-second International Conference on Machine Learning (ICML). 2025
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Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Lanuge Model Inference
Jixian Zhou, Fang Dong, Ruijun Huang, Hengjie Cao, Mengyi Chen, Yifeng Yang, Anrui Chen, Mingzhi Dong, Yujiang Wang, Dongsheng Li, David A. Clifton, Qin Lv, Rui Zhu, Chun Zhang, Fan Yang, Li Shang.
The Forty-second International Conference on Machine Learning (ICML). 2025
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MAPSparse: Accelerating Pre-filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention
Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu.
The Forty-second International Conference on Machine Learning (ICML). 2025
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Denoising Reuse: Exploiting Inter-frame Motion Consistency for Efficient Video Generation
Chenyu Wang, Shuo Yan, Yixuan Chen, Xianwei Wang, Yujiang Wang, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Rui Zhu, David A. Clifton, Robert P. Dick, Qin Lv, Fan Yang, Tun Lu, Ning Gu, Li Shang.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). 2025
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Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key
Zhihe Yang, Xufang Luo, Dongqi Han, Yunjian Xu, Dongsheng Li.
The 2025 Conference on Computer Vision and Pattern Recognition (CVPR). 2025 (oral)
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Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization
Zhipeng Xu, De Cheng, XINYANG JIANG, Nannan Wang, Dongsheng Li, Xinbo Gao.
The 2025 Conference on Computer Vision and Pattern Recognition (CVPR). 2025
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EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction
Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Yongliang Shen, Kan Ren, Dongsheng Li, Deqing Yang.
The 2025 Annual Conference of the Nations of the Americas Chapter of the ACL (NAACL). 2025
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EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms
Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Dongsheng Li, Deqing Yang.
The 2025 Annual Conference of the Nations of the Americas Chapter of the ACL (NAACL). 2025
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How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension
Xinnan Dai, Haohao Qu, Yifei Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan.
The Thirteenth International Conference on Learning Representations (ICLR). 2025
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SharedContextBench: How Lossy are Long-context Methods in KV Cache Reuse
YUCHENG LI, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu.
The Thirteenth International Conference on Learning Representations (ICLR). 2025
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SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents
Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao.
The Thirteenth International Conference on Learning Representations (ICLR). 2025
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NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
Weibang Jiang, Yansen Wang, Bao-liang Lu, Dongsheng Li.
The Thirteenth International Conference on Learning Representations (ICLR). 2025
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pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation
Shentong Mo, Xufang Luo, Dongsheng Li.
The Thirteenth International Conference on Learning Representations (ICLR). 2025
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What Makes a Good Diffusion Planner for Decision Making?
Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li.
The Thirteenth International Conference on Learning Representations (ICLR). 2025 (Spotlight)
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DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models
Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu, XINYANG JIANG, Yifan Yang, Dongsheng Li, Laurent Itti, Vibhav Vineet, Yunhao Ge.
The Thirteenth International Conference on Learning Representations (ICLR). 2025
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Translating Mental Imaginations into Characters with Codebooks and Dynamics-Enhanced Decoding
Jingyuan Li, Yansen Wang, Nie Lin, Dongsheng Li.
2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2025
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Understanding and Improving Training-free Loss-based Diffusion Guidance
Yifei Shen, XINYANG JIANG, Yifan Yang, Yezhen Wang, Dongqi Han, Dongsheng Li.
The Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS). 2024
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Can Graph Learning Improve Planning in LLM-based Agents?
Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Hong Cheng, Siwei Wang, Wei Chen, Jiarui Feng, Bohang Zhang, Yun Xiong, Dongsheng Li.
The Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS). 2024
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Advancing Spiking Neural Networks for Sequential Modeling through Central Pattern Generators
Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li.
The Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS). 2024 (Spotlight)
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EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals
Xuanhao Liu, Yan-Kai Liu, Yansen Wang, Kan Ren, Hanwen Shi, Zilong Wang, Dongsheng Li, Bao-liang Lu, Wei-Long Zheng.
The Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS). 2024
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Towards Editing Time Series
Baoyu Jing, Shuqi Gu, Tianyu Chen, Zhiyu Yang, Dongsheng Li, Jingrui He, Kan Ren.
The Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS). 2024
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Once Read is Enough: Finetuning-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge
Fang Dong, Mengyi Chen, Jixian Zhou, Yubin Shi, Yixuan Chen, Mingzhi Dong, Yujiang Wang, Dongsheng Li, Xiaochen Yang, Rui Zhu, Robert P. Dick, Qin Lv, Fan Yang, Tun Lu, Ning Gu, Li Shang.
The Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS). 2024
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MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
Huiqiang Jiang, YUCHENG LI, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu.
The Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS). 2024 (Spotlight)
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TaskBench: Benchmarking Large Language Models for Task Automation
Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Yueting Zhuang.
The Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS). 2024
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Automated Contrastive Learning Strategy Search for Time Series
Baoyu Jing, Yansen Wang, Guoxin Sui, Jing Hong, Jingrui He, Yuqing Yang, Dongsheng Li, Kan Ren.
The 33rd ACM International Conference on Information and Knowledge Management (CIKM). 2024
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Online Video Quality Enhancement with Spatial-Temporal Look-up Tables
Zefan Qu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Cairong Zhao.
European Conference on Computer Vision (ECCV). 2024
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Synergizing habits and goals with variational Bayes
Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani.
Nature Communications. 2024
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Re-ID-leak: Membership Inference Attacks Against Person Re-identification
Junyao Gao, Xinyang Jiang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cairong Zhao.
International Journal of Computer Vision (IJCV). 2024
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Resurrecting Label Propagation for Graphs with Heterophily and Label Noise
Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li.
The 2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). 2024
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Improving Large Language Models in Event Relation Logical Prediction
Meiqi Chen, Yubo Ma, Kaitao Song, Yixin Cao, Yan Zhang, Dongsheng Li.
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL). 2024
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LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu.
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL). 2024
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Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li.
The Forty-first International Conference on Machine Learning (ICML). 2024
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MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks
(Outstanding Paper)
Lei Zhang, Yuge Zhang, Kan Ren, Dongsheng Li, Yuqing Yang.
The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL). 2024
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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.
- Multi-dimensional root cause analysis based on cross-metrics. WO2023136871A1
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
- IBM Corperate Award, IBM, 2018
- Outstanding Paper Award, EACL, 2024
- 2023 China Intelligent Computing Technology Innovators Award, MIT Technology Review China & DeepTech, 2024