Shanghai AI/ML Group

论文与出版物

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- ActPrompt: In-Domain Feature Adaptation via Action Cues for Video Temporal Grounding
  
  Yubin Wang, Xinyang Jiang, De Cheng, Dongsheng Li, Cairong Zhao
  
  IEEE Transactions on Image Processing | March 2026, 第 35 卷: pp. 2714-2726
  
  DOI Publication
- SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation
  
  Yimu Zhang, Dongqi Han, Yansen Wang, Zhenning Lv, Yu Gu, Dongsheng Li
  
  NeurIPS 2025 | December 2025
  
  Preprint
- Habitizing Diffusion Planning for Efficient and Effective Decision Making
  
  Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han
  
  International Conference on Machine Learning | February 2025
  
  Publication
- 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
  
  2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | January 2025, pp. 10610-10620
  
  DOI Publication Publication
- Training-free Multi-objective Diffusion Model for 3D Molecule Generation
  
  Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li
  
  ICLR 2024 | April 2024
  
  Publication
- Large Multimodal Model for Real-World Radiology Report Generation
  
  Brian Nlong Zhao, Xinyang Jiang, Xufang Luo, Yifan Yang, Bo Li, Zilong Wang, Javier Alvarez-Valle, Matthew P. Lungren, Dongsheng Li, Lili Qiu
  
  December 2023
  
  Publication
- A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition
  
  Jinchao Li, Xixin Wu, Kaitao Song, Dongsheng Li, Xunying Liu, Helen Meng
  
  ICASSP 2023 | June 2023
  
  Publication
- 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
  
  ICASSP 2023 | June 2023
  
  Publication
- Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism
  
  Jiaqi Gao, Xinyang Jiang, Yuqing Yang, Dongsheng Li, Lili Qiu
  
  ICASSP 23 | June 2023
  
  Author's Version
- Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
  
  Eric Qu, Xufang Luo, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Spotlight
  
  Publication
- EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark
  
  Shuguang Dou, Xinyang Jiang, Cairong Zhao, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Spotlight
  
  Publication
- 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
  
  ICLR 23 | May 2023
  
  Publication
- SIMPLE: Specialized Model-Sample Matching for Domain Generalization
  
  Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Publication
- Personalized Graph Signal Processing for Collaborative Filtering
  
  Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
  
  WWW 23 | April 2023
  
  Author's Version
- Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
  
  Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
  
  WWW 23 | April 2023
  
  Author's Version
- 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
  
  AAAI 2023 | February 2023
  
  Publication
- 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
  
  AAAI 2023 | February 2023
  
  Author's Version
- Towards Inference Efficient Deep Ensemble Learning
  
  Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li
  
  AAAI 23 | February 2023
  
  Author's Version
- SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition
  
  Yichong Leng, Xu Tan, Wenjie Liu, Kaitao Song, Rui Wang, Xiang-Yang Li, Tao Qin, Edward Lin, Tie-Yan Liu
  
  The 37th AAAI Conference on Artificial Intelligence | December 2022
  
  Publication
- CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
  
  Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
  
  KDD 2022 | August 2022
  
  Publication
- CLARE: A Semi-supervised Community Detection Algorithm
  
  Xixi Wu, Yao Zhang, Yun Xiong, Yizhu Jiao, Caihua Shan, Yangyong Zhu, Philip S Yu
  
  KDD 2022 | August 2022
  
  Publication
- Analyzing and Mitigating Interference in Neural Architecture Search
  
  Jin Xu, Xu Tan, Kaitao Song, Renqian Luo, Yichong Leng, Tao Qin, Tie-Yan Liu, Sujian Li
  
  ICML 2022 | July 2022
  
  Publication
- Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  
  Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
  
  ICML 2022 | July 2022
  
  Publication
- 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
  
  Publication
- Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech
  
  Kaitao Song, Teng Wan, Bixia Wang, Huiqiang Jiang, Luna K. Qiu, Jiahang Xu, Yuqing Yang, Liping Jiang, Qun Lou, Dongsheng Li, Xudong Wang, Lili Qiu
  
  INTERSPEECH 2022 | June 2022
  
  Publication
- Mixed-phoneme bert: Improving bert with mixed phoneme and sup-phoneme representations for text to speech
  
  Guangyan Zhang, Kaitao Song, Xu Tan, Daxin Tan, Yuzi Yan, Yanqing Liu, Gang Wang, Wei Zhou, Tao Qin, Tan Lee, Sheng Zhao
  
  INTERSPEECH 2022 | June 2022
  
  Publication
- RendNet: Unified 2D/3D Recognizer With Latent Space Rendering
  
  Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li
  
  CVPR 2022 | June 2022
  
  Publication
- 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, ingsheng Jiang, Peng Li, Lei Song, Zeping Hu
  
  Nature Cardiovascular Research | May 2022, 第 1 卷: pp. 445-461
  
  Publication
- Accurate and Explainable Recommendation via Review Rationalization
  
  Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo, Ning Gu
  
  TheWebConf 2022 | April 2022
  
  PDF DOI
- Cross-Modal Ambiguity Learning for Multimodal Fake News Detection
  
  Yixuan Chen, Dongsheng Li, Peng Zhang, Jie Sui, Qin Lv, Lu Tun, Li Shang
  
  TheWebConf 2022 | April 2022
  
  PDF DOI
- FIRE: Fast Incremental Recommendation with Graph Signal Processing
  
  Jiafeng Xia, Dongsheng Li, Hansu Gu, Jiahao Liu, Tun Lu, Ning Gu
  
  TheWebConf 2022 | April 2022
  
  PDF DOI
- MINDSim: User Simulator for News Recommenders
  
  Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li
  
  TheWebConf 2022 | April 2022
  
  Publication
- Recursive Disentanglement Network
  
  Yixuan Chen, Yubin Shi, Dongsheng Li, Yujiang Wang, Mingzhi Dong, Yingying Zhao, Robert Dick, Qin Lv, Fan Yang, Li Shang
  
  ICLR 2022 | April 2022
  
  Publication
- Variational oracle guiding for reinforcement learning
  
  Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
  
  ICLR 2022 | April 2022
  
  Publication
- Invariant Information Bottleneck for Domain Generalization
  
  Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado J Reed, Dongsheng Li, Kurt Keutzer, Han Zhao
  
  AAAI 2022 | February 2022
  
  Publication
- Neural Piecewise-Constant Delay Differential Equations
  
  Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin
  
  AAAI 2022 | February 2022
  
  Publication
- Recognizing Vector Graphics without Rasterization
  
  Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
  
  NeurIPS 2021 | December 2021
  
  Publication
- Reinforcement Learning Enhanced Explainer for Graph Neural Networks
  
  Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li
  
  NeurIPS 2021 | December 2021
  
  Publication
- Towards Generating Real-World Time Series Data
  
  Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li
  
  ICDM 21 | November 2021
  
  Publication Publication Publication
- CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
  
  Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
  
  Conference on Information and Knowledge Management | October 2021
  
  DOI PDF Publication
- How Powerful is Graph Convolution for Recommendation
  
  Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief, Dongsheng Li
  
  Conference on Information and Knowledge Management | October 2021
  
  DOI Publication Publication Publication Publication
- Incremental Graph Convolutional Network for Collaborative Filtering
  
  Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
  
  Conference on Information and Knowledge Management | October 2021
  
  DOI Publication Publication
- Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
  
  Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li
  
  ICCV 2021 | October 2021
  
  Publication
- Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations.
  
  Xiaofan Xing, Yuankang Xiong, Ruipu Yang, Rong Wang, Weibing Wang, Haidong Kan, Tun Lu, Dongsheng Li, Junji Cao, Josep Peñuelas, Philippe Ciais, Nico Bauer, Olivier Boucher, Yves Balkanski, Didier Hauglustaine, Guy Brasseur, Lidia Morawska, Ivan A Janssens, Xiangrong Wang, Jordi Sardans, Yijing Wang, Yifei Deng, Lin Wang, Jianmin Chen, Xu Tang, Renhe Zhang
  
  Proceedings of the National Academy of Sciences of the United States of America | August 2021, 第 118 卷(33)
  
  DOI Publication Publication Publication Publication Publication Publication 项目
- Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation
  
  Sanshi Yu, Zhuoxuan Jiang, Dong-Dong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi
  
  KDD 2021 | August 2021
  
  Publication
- 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 | May 2021, 第 15 卷(6): pp. 1-20
  
  DOI Publication Publication
- Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning
  
  Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang
  
  Thirty-Fifth AAAI Conference on Artificial Intelligence | May 2021
  
  Publication Publication
- A Reinforcement-Learning-based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline
  
  Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang
  
  IEEE Transactions on Multimedia | April 2021
  
  DOI Publication Publication
- 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
  
  Publication 项目
- 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 | January 2021, (01): pp. 1-1
  
  DOI Publication

- ActPrompt: In-Domain Feature Adaptation via Action Cues for Video Temporal Grounding
  
  Yubin Wang, Xinyang Jiang, De Cheng, Dongsheng Li, Cairong Zhao
  
  IEEE Transactions on Image Processing | March 2026, 第 35 卷: pp. 2714-2726
  
  DOI Publication
- 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
  
  AAAI 2023 | February 2023
  
  Author's Version
- RendNet: Unified 2D/3D Recognizer With Latent Space Rendering
  
  Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li
  
  CVPR 2022 | June 2022
  
  Publication
- Recognizing Vector Graphics without Rasterization
  
  Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
  
  NeurIPS 2021 | December 2021
  
  Publication
- Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
  
  Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li
  
  ICCV 2021 | October 2021
  
  Publication
- A Reinforcement-Learning-based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline
  
  Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang
  
  IEEE Transactions on Multimedia | April 2021
  
  DOI Publication Publication
- SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation
  
  Yimu Zhang, Dongqi Han, Yansen Wang, Zhenning Lv, Yu Gu, Dongsheng Li
  
  NeurIPS 2025 | December 2025
  
  Preprint
- Habitizing Diffusion Planning for Efficient and Effective Decision Making
  
  Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han
  
  International Conference on Machine Learning | February 2025
  
  Publication
- 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
  
  2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | January 2025, pp. 10610-10620
  
  DOI Publication Publication
- Training-free Multi-objective Diffusion Model for 3D Molecule Generation
  
  Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li
  
  ICLR 2024 | April 2024
  
  Publication
- Large Multimodal Model for Real-World Radiology Report Generation
  
  Brian Nlong Zhao, Xinyang Jiang, Xufang Luo, Yifan Yang, Bo Li, Zilong Wang, Javier Alvarez-Valle, Matthew P. Lungren, Dongsheng Li, Lili Qiu
  
  December 2023
  
  Publication
- Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism
  
  Jiaqi Gao, Xinyang Jiang, Yuqing Yang, Dongsheng Li, Lili Qiu
  
  ICASSP 23 | June 2023
  
  Author's Version
- EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark
  
  Shuguang Dou, Xinyang Jiang, Cairong Zhao, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Spotlight
  
  Publication
- SIMPLE: Specialized Model-Sample Matching for Domain Generalization
  
  Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Publication
- 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
  
  ICLR 23 | May 2023
  
  Publication
- Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
  
  Eric Qu, Xufang Luo, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Spotlight
  
  Publication
- Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
  
  Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
  
  WWW 23 | April 2023
  
  Author's Version
- Personalized Graph Signal Processing for Collaborative Filtering
  
  Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
  
  WWW 23 | April 2023
  
  Author's Version
- Towards Inference Efficient Deep Ensemble Learning
  
  Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li
  
  AAAI 23 | February 2023
  
  Author's Version
- 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
  
  AAAI 2023 | February 2023
  
  Author's Version
- 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
  
  AAAI 2023 | February 2023
  
  Publication
- CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
  
  Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
  
  KDD 2022 | August 2022
  
  Publication
- Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  
  Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
  
  ICML 2022 | July 2022
  
  Publication
- Analyzing and Mitigating Interference in Neural Architecture Search
  
  Jin Xu, Xu Tan, Kaitao Song, Renqian Luo, Yichong Leng, Tao Qin, Tie-Yan Liu, Sujian Li
  
  ICML 2022 | July 2022
  
  Publication
- 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
  
  Publication
- 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, ingsheng Jiang, Peng Li, Lei Song, Zeping Hu
  
  Nature Cardiovascular Research | May 2022, 第 1 卷: pp. 445-461
  
  Publication
- Variational oracle guiding for reinforcement learning
  
  Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
  
  ICLR 2022 | April 2022
  
  Publication
- Recursive Disentanglement Network
  
  Yixuan Chen, Yubin Shi, Dongsheng Li, Yujiang Wang, Mingzhi Dong, Yingying Zhao, Robert Dick, Qin Lv, Fan Yang, Li Shang
  
  ICLR 2022 | April 2022
  
  Publication
- Neural Piecewise-Constant Delay Differential Equations
  
  Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin
  
  AAAI 2022 | February 2022
  
  Publication
- Invariant Information Bottleneck for Domain Generalization
  
  Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado J Reed, Dongsheng Li, Kurt Keutzer, Han Zhao
  
  AAAI 2022 | February 2022
  
  Publication
- Reinforcement Learning Enhanced Explainer for Graph Neural Networks
  
  Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li
  
  NeurIPS 2021 | December 2021
  
  Publication
- Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations.
  
  Xiaofan Xing, Yuankang Xiong, Ruipu Yang, Rong Wang, Weibing Wang, Haidong Kan, Tun Lu, Dongsheng Li, Junji Cao, Josep Peñuelas, Philippe Ciais, Nico Bauer, Olivier Boucher, Yves Balkanski, Didier Hauglustaine, Guy Brasseur, Lidia Morawska, Ivan A Janssens, Xiangrong Wang, Jordi Sardans, Yijing Wang, Yifei Deng, Lin Wang, Jianmin Chen, Xu Tang, Renhe Zhang
  
  Proceedings of the National Academy of Sciences of the United States of America | August 2021, 第 118 卷(33)
  
  DOI Publication Publication Publication Publication Publication Publication 项目
- Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation
  
  Sanshi Yu, Zhuoxuan Jiang, Dong-Dong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi
  
  KDD 2021 | August 2021
  
  Publication
- 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
  
  Publication 项目
- Large Multimodal Model for Real-World Radiology Report Generation
  
  Brian Nlong Zhao, Xinyang Jiang, Xufang Luo, Yifan Yang, Bo Li, Zilong Wang, Javier Alvarez-Valle, Matthew P. Lungren, Dongsheng Li, Lili Qiu
  
  December 2023
  
  Publication
- Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism
  
  Jiaqi Gao, Xinyang Jiang, Yuqing Yang, Dongsheng Li, Lili Qiu
  
  ICASSP 23 | June 2023
  
  Author's Version
- Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech
  
  Kaitao Song, Teng Wan, Bixia Wang, Huiqiang Jiang, Luna K. Qiu, Jiahang Xu, Yuqing Yang, Liping Jiang, Qun Lou, Dongsheng Li, Xudong Wang, Lili Qiu
  
  INTERSPEECH 2022 | June 2022
  
  Publication
- 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, ingsheng Jiang, Peng Li, Lei Song, Zeping Hu
  
  Nature Cardiovascular Research | May 2022, 第 1 卷: pp. 445-461
  
  Publication
- SIMPLE: Specialized Model-Sample Matching for Domain Generalization
  
  Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Publication
- 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
  
  ICLR 23 | May 2023
  
  Publication
- Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
  
  Eric Qu, Xufang Luo, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Spotlight
  
  Publication
- Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
  
  Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
  
  WWW 23 | April 2023
  
  Author's Version
- Personalized Graph Signal Processing for Collaborative Filtering
  
  Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
  
  WWW 23 | April 2023
  
  Author's Version
- Towards Inference Efficient Deep Ensemble Learning
  
  Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li
  
  AAAI 23 | February 2023
  
  Author's Version
- CLARE: A Semi-supervised Community Detection Algorithm
  
  Xixi Wu, Yao Zhang, Yun Xiong, Yizhu Jiao, Caihua Shan, Yangyong Zhu, Philip S Yu
  
  KDD 2022 | August 2022
  
  Publication
- Towards Generating Real-World Time Series Data
  
  Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li
  
  ICDM 21 | November 2021
  
  Publication Publication Publication
- How Powerful is Graph Convolution for Recommendation
  
  Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief, Dongsheng Li
  
  Conference on Information and Knowledge Management | October 2021
  
  DOI Publication Publication Publication Publication
- Incremental Graph Convolutional Network for Collaborative Filtering
  
  Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
  
  Conference on Information and Knowledge Management | October 2021
  
  DOI Publication Publication
- CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
  
  Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
  
  Conference on Information and Knowledge Management | October 2021
  
  DOI PDF Publication
- 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 | May 2021, 第 15 卷(6): pp. 1-20
  
  DOI Publication Publication
- Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning
  
  Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang
  
  Thirty-Fifth AAAI Conference on Artificial Intelligence | May 2021
  
  Publication Publication
- A Reinforcement-Learning-based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline
  
  Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang
  
  IEEE Transactions on Multimedia | April 2021
  
  DOI Publication Publication
- 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 | January 2021, (01): pp. 1-1
  
  DOI Publication
- EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark
  
  Shuguang Dou, Xinyang Jiang, Cairong Zhao, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Spotlight
  
  Publication
- A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition
  
  Jinchao Li, Xixin Wu, Kaitao Song, Dongsheng Li, Xunying Liu, Helen Meng
  
  ICASSP 2023 | June 2023
  
  Publication
- 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
  
  ICASSP 2023 | June 2023
  
  Publication
- SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition
  
  Yichong Leng, Xu Tan, Wenjie Liu, Kaitao Song, Rui Wang, Xiang-Yang Li, Tao Qin, Edward Lin, Tie-Yan Liu
  
  The 37th AAAI Conference on Artificial Intelligence | December 2022
  
  Publication
- Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech
  
  Kaitao Song, Teng Wan, Bixia Wang, Huiqiang Jiang, Luna K. Qiu, Jiahang Xu, Yuqing Yang, Liping Jiang, Qun Lou, Dongsheng Li, Xudong Wang, Lili Qiu
  
  INTERSPEECH 2022 | June 2022
  
  Publication
- Mixed-phoneme bert: Improving bert with mixed phoneme and sup-phoneme representations for text to speech
  
  Guangyan Zhang, Kaitao Song, Xu Tan, Daxin Tan, Yuzi Yan, Yanqing Liu, Gang Wang, Wei Zhou, Tao Qin, Tan Lee, Sheng Zhao
  
  INTERSPEECH 2022 | June 2022
  
  Publication
- SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition
  
  Yichong Leng, Xu Tan, Wenjie Liu, Kaitao Song, Rui Wang, Xiang-Yang Li, Tao Qin, Edward Lin, Tie-Yan Liu
  
  The 37th AAAI Conference on Artificial Intelligence | December 2022
  
  Publication
- Towards Generating Real-World Time Series Data
  
  Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li
  
  ICDM 21 | November 2021
  
  Publication Publication Publication
- Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation
  
  Sanshi Yu, Zhuoxuan Jiang, Dong-Dong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi
  
  KDD 2021 | August 2021
  
  Publication
- FIRE: Fast Incremental Recommendation with Graph Signal Processing
  
  Jiafeng Xia, Dongsheng Li, Hansu Gu, Jiahao Liu, Tun Lu, Ning Gu
  
  TheWebConf 2022 | April 2022
  
  PDF DOI
- MINDSim: User Simulator for News Recommenders
  
  Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li
  
  TheWebConf 2022 | April 2022
  
  Publication
- Cross-Modal Ambiguity Learning for Multimodal Fake News Detection
  
  Yixuan Chen, Dongsheng Li, Peng Zhang, Jie Sui, Qin Lv, Lu Tun, Li Shang
  
  TheWebConf 2022 | April 2022
  
  PDF DOI
- Accurate and Explainable Recommendation via Review Rationalization
  
  Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo, Ning Gu
  
  TheWebConf 2022 | April 2022
  
  PDF DOI
- How Powerful is Graph Convolution for Recommendation
  
  Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief, Dongsheng Li
  
  Conference on Information and Knowledge Management | October 2021
  
  DOI Publication Publication Publication Publication
- Incremental Graph Convolutional Network for Collaborative Filtering
  
  Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
  
  Conference on Information and Knowledge Management | October 2021
  
  DOI Publication Publication
- CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
  
  Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
  
  Conference on Information and Knowledge Management | October 2021
  
  DOI PDF Publication
- 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 | May 2021, 第 15 卷(6): pp. 1-20
  
  DOI Publication Publication
- Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning
  
  Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang
  
  Thirty-Fifth AAAI Conference on Artificial Intelligence | May 2021
  
  Publication Publication
- 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 | January 2021, (01): pp. 1-1
  
  DOI Publication

- ActPrompt: In-Domain Feature Adaptation via Action Cues for Video Temporal Grounding
  
  Yubin Wang, Xinyang Jiang, De Cheng, Dongsheng Li, Cairong Zhao
  
  IEEE Transactions on Image Processing | March 2026, 第 35 卷: pp. 2714-2726
  
  DOI Publication
- 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
  
  2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | January 2025, pp. 10610-10620
  
  DOI Publication Publication
- 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, ingsheng Jiang, Peng Li, Lei Song, Zeping Hu
  
  Nature Cardiovascular Research | May 2022, 第 1 卷: pp. 445-461
  
  Publication
- Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations.
  
  Xiaofan Xing, Yuankang Xiong, Ruipu Yang, Rong Wang, Weibing Wang, Haidong Kan, Tun Lu, Dongsheng Li, Junji Cao, Josep Peñuelas, Philippe Ciais, Nico Bauer, Olivier Boucher, Yves Balkanski, Didier Hauglustaine, Guy Brasseur, Lidia Morawska, Ivan A Janssens, Xiangrong Wang, Jordi Sardans, Yijing Wang, Yifei Deng, Lin Wang, Jianmin Chen, Xu Tang, Renhe Zhang
  
  Proceedings of the National Academy of Sciences of the United States of America | August 2021, 第 118 卷(33)
  
  DOI Publication Publication Publication Publication Publication Publication 项目
- 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 | May 2021, 第 15 卷(6): pp. 1-20
  
  DOI Publication Publication
- A Reinforcement-Learning-based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline
  
  Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang
  
  IEEE Transactions on Multimedia | April 2021
  
  DOI Publication Publication
- 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 | January 2021, (01): pp. 1-1
  
  DOI Publication
- SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation
  
  Yimu Zhang, Dongqi Han, Yansen Wang, Zhenning Lv, Yu Gu, Dongsheng Li
  
  NeurIPS 2025 | December 2025
  
  Preprint
- Habitizing Diffusion Planning for Efficient and Effective Decision Making
  
  Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han
  
  International Conference on Machine Learning | February 2025
  
  Publication
- Training-free Multi-objective Diffusion Model for 3D Molecule Generation
  
  Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li
  
  ICLR 2024 | April 2024
  
  Publication
- Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism
  
  Jiaqi Gao, Xinyang Jiang, Yuqing Yang, Dongsheng Li, Lili Qiu
  
  ICASSP 23 | June 2023
  
  Author's Version
- A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition
  
  Jinchao Li, Xixin Wu, Kaitao Song, Dongsheng Li, Xunying Liu, Helen Meng
  
  ICASSP 2023 | June 2023
  
  Publication
- 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
  
  ICASSP 2023 | June 2023
  
  Publication
- EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark
  
  Shuguang Dou, Xinyang Jiang, Cairong Zhao, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Spotlight
  
  Publication
- SIMPLE: Specialized Model-Sample Matching for Domain Generalization
  
  Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Publication
- 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
  
  ICLR 23 | May 2023
  
  Publication
- Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
  
  Eric Qu, Xufang Luo, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Spotlight
  
  Publication
- Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
  
  Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
  
  WWW 23 | April 2023
  
  Author's Version
- Personalized Graph Signal Processing for Collaborative Filtering
  
  Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
  
  WWW 23 | April 2023
  
  Author's Version
- Towards Inference Efficient Deep Ensemble Learning
  
  Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li
  
  AAAI 23 | February 2023
  
  Author's Version
- 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
  
  AAAI 2023 | February 2023
  
  Author's Version
- 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
  
  AAAI 2023 | February 2023
  
  Publication
- SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition
  
  Yichong Leng, Xu Tan, Wenjie Liu, Kaitao Song, Rui Wang, Xiang-Yang Li, Tao Qin, Edward Lin, Tie-Yan Liu
  
  The 37th AAAI Conference on Artificial Intelligence | December 2022
  
  Publication
- CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
  
  Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
  
  KDD 2022 | August 2022
  
  Publication
- CLARE: A Semi-supervised Community Detection Algorithm
  
  Xixi Wu, Yao Zhang, Yun Xiong, Yizhu Jiao, Caihua Shan, Yangyong Zhu, Philip S Yu
  
  KDD 2022 | August 2022
  
  Publication
- Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  
  Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
  
  ICML 2022 | July 2022
  
  Publication
- Analyzing and Mitigating Interference in Neural Architecture Search
  
  Jin Xu, Xu Tan, Kaitao Song, Renqian Luo, Yichong Leng, Tao Qin, Tie-Yan Liu, Sujian Li
  
  ICML 2022 | July 2022
  
  Publication
- 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
  
  Publication
- Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech
  
  Kaitao Song, Teng Wan, Bixia Wang, Huiqiang Jiang, Luna K. Qiu, Jiahang Xu, Yuqing Yang, Liping Jiang, Qun Lou, Dongsheng Li, Xudong Wang, Lili Qiu
  
  INTERSPEECH 2022 | June 2022
  
  Publication
- Mixed-phoneme bert: Improving bert with mixed phoneme and sup-phoneme representations for text to speech
  
  Guangyan Zhang, Kaitao Song, Xu Tan, Daxin Tan, Yuzi Yan, Yanqing Liu, Gang Wang, Wei Zhou, Tao Qin, Tan Lee, Sheng Zhao
  
  INTERSPEECH 2022 | June 2022
  
  Publication
- RendNet: Unified 2D/3D Recognizer With Latent Space Rendering
  
  Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li
  
  CVPR 2022 | June 2022
  
  Publication
- FIRE: Fast Incremental Recommendation with Graph Signal Processing
  
  Jiafeng Xia, Dongsheng Li, Hansu Gu, Jiahao Liu, Tun Lu, Ning Gu
  
  TheWebConf 2022 | April 2022
  
  PDF DOI
- MINDSim: User Simulator for News Recommenders
  
  Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li
  
  TheWebConf 2022 | April 2022
  
  Publication
- Cross-Modal Ambiguity Learning for Multimodal Fake News Detection
  
  Yixuan Chen, Dongsheng Li, Peng Zhang, Jie Sui, Qin Lv, Lu Tun, Li Shang
  
  TheWebConf 2022 | April 2022
  
  PDF DOI
- Accurate and Explainable Recommendation via Review Rationalization
  
  Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo, Ning Gu
  
  TheWebConf 2022 | April 2022
  
  PDF DOI
- Variational oracle guiding for reinforcement learning
  
  Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
  
  ICLR 2022 | April 2022
  
  Publication
- Recursive Disentanglement Network
  
  Yixuan Chen, Yubin Shi, Dongsheng Li, Yujiang Wang, Mingzhi Dong, Yingying Zhao, Robert Dick, Qin Lv, Fan Yang, Li Shang
  
  ICLR 2022 | April 2022
  
  Publication
- Neural Piecewise-Constant Delay Differential Equations
  
  Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin
  
  AAAI 2022 | February 2022
  
  Publication
- Invariant Information Bottleneck for Domain Generalization
  
  Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado J Reed, Dongsheng Li, Kurt Keutzer, Han Zhao
  
  AAAI 2022 | February 2022
  
  Publication
- Reinforcement Learning Enhanced Explainer for Graph Neural Networks
  
  Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li
  
  NeurIPS 2021 | December 2021
  
  Publication
- Recognizing Vector Graphics without Rasterization
  
  Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
  
  NeurIPS 2021 | December 2021
  
  Publication
- Towards Generating Real-World Time Series Data
  
  Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li
  
  ICDM 21 | November 2021
  
  Publication Publication Publication
- How Powerful is Graph Convolution for Recommendation
  
  Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief, Dongsheng Li
  
  Conference on Information and Knowledge Management | October 2021
  
  DOI Publication Publication Publication Publication
- Incremental Graph Convolutional Network for Collaborative Filtering
  
  Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
  
  Conference on Information and Knowledge Management | October 2021
  
  DOI Publication Publication
- CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
  
  Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
  
  Conference on Information and Knowledge Management | October 2021
  
  DOI PDF Publication
- Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
  
  Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li
  
  ICCV 2021 | October 2021
  
  Publication
- Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation
  
  Sanshi Yu, Zhuoxuan Jiang, Dong-Dong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi
  
  KDD 2021 | August 2021
  
  Publication
- Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning
  
  Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang
  
  Thirty-Fifth AAAI Conference on Artificial Intelligence | May 2021
  
  Publication Publication
- 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
  
  Publication 项目
- Large Multimodal Model for Real-World Radiology Report Generation
  
  Brian Nlong Zhao, Xinyang Jiang, Xufang Luo, Yifan Yang, Bo Li, Zilong Wang, Javier Alvarez-Valle, Matthew P. Lungren, Dongsheng Li, Lili Qiu
  
  December 2023
  
  Publication

Shanghai AI/ML Group

论文与出版物

ActPrompt: In-Domain Feature Adaptation via Action Cues for Video Temporal Grounding

SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation

Habitizing Diffusion Planning for Efficient and Effective Decision Making

Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key

Training-free Multi-objective Diffusion Model for 3D Molecule Generation

Large Multimodal Model for Real-World Radiology Report Generation

A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition

Leveraging Pretrained Representations with Task-related Keywords for Alzheimer’s Disease Detection

Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism

Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer

EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark

Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition

SIMPLE: Specialized Model-Sample Matching for Domain Generalization

Personalized Graph Signal Processing for Collaborative Filtering

Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking

Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling

Similarity Distribution based Membership Inference Attack on Person Re-identification

Towards Inference Efficient Deep Ensemble Learning

SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition

CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis

CLARE: A Semi-supervised Community Detection Algorithm

Analyzing and Mitigating Interference in Neural Architecture Search

Finding Global Homophily in Graph Neural Networks When Meeting Heterophily

Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble

Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech

Mixed-phoneme bert: Improving bert with mixed phoneme and sup-phoneme representations for text to speech

RendNet: Unified 2D/3D Recognizer With Latent Space Rendering

Metabolic characterization of hypertrophic cardiomyopathy in human heart

Accurate and Explainable Recommendation via Review Rationalization

Cross-Modal Ambiguity Learning for Multimodal Fake News Detection

FIRE: Fast Incremental Recommendation with Graph Signal Processing

MINDSim: User Simulator for News Recommenders

Recursive Disentanglement Network

Variational oracle guiding for reinforcement learning

Invariant Information Bottleneck for Domain Generalization

Neural Piecewise-Constant Delay Differential Equations

Recognizing Vector Graphics without Rasterization

Reinforcement Learning Enhanced Explainer for Graph Neural Networks

Towards Generating Real-World Time Series Data

CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph

How Powerful is Graph Convolution for Recommendation

Incremental Graph Convolutional Network for Collaborative Filtering

Energy-Based Open-World Uncertainty Modeling for Confidence Calibration

Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations.

Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation

NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering

Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning

A Reinforcement-Learning-based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline

Universal Trading for Order Execution with Oracle Policy Distillation

Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation

ActPrompt: In-Domain Feature Adaptation via Action Cues for Video Temporal Grounding

Similarity Distribution based Membership Inference Attack on Person Re-identification

RendNet: Unified 2D/3D Recognizer With Latent Space Rendering

Recognizing Vector Graphics without Rasterization

Energy-Based Open-World Uncertainty Modeling for Confidence Calibration

A Reinforcement-Learning-based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline

SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation

Habitizing Diffusion Planning for Efficient and Effective Decision Making

Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key

Training-free Multi-objective Diffusion Model for 3D Molecule Generation

Large Multimodal Model for Real-World Radiology Report Generation

Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism

EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark

SIMPLE: Specialized Model-Sample Matching for Domain Generalization

Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition

Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer

Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking

Personalized Graph Signal Processing for Collaborative Filtering

Towards Inference Efficient Deep Ensemble Learning

Similarity Distribution based Membership Inference Attack on Person Re-identification

Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling

CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis

Finding Global Homophily in Graph Neural Networks When Meeting Heterophily

Analyzing and Mitigating Interference in Neural Architecture Search

Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble

Metabolic characterization of hypertrophic cardiomyopathy in human heart

Variational oracle guiding for reinforcement learning

Recursive Disentanglement Network