Dongsheng Li

Principal Research Manager

论文与出版物

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- 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
- MMInference: Accelerating Pre-filling for Long-Context VLMs 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
  
  ICML 2025 | July 2025
  
  Preprint Github 项目
- Chain-of-Model Learning for Language Model
  
  Kaitao Song, Xiaohua Wang, Xu Tan, Huiqiang Jiang, Chengruidong Zhang, Yongliang Shen, LU Cen, Li, Zifan Song, Caihua Shan, Yansen Wang, Kan Ren, Xiaoqing Zheng, Tao Qin, Yuqing Yang, Dongsheng Li, Lili Qiu
  
  NeurIPS 2025 | May 2025
  
  DOI
- 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
  
  ICLR 2025 | April 2025
  
  Publication Github 项目
- What Makes a Good Diffusion Planner for Decision Making?
  
  Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li
  
  ICLR 2025 | March 2025
  
  Publication
- Habitizing Diffusion Planning for Efficient and Effective Decision Making
  
  Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han
  
  2025 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
- SCBench: A KV Cache-Centric Analysis of Long-Context Methods
  
  Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
  
  ICLR 2025 | December 2024
  
  Preprint Github 项目
- 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
  
  NeurIPS 2024 | December 2024
  
  spotlight
  
  Preprint Github 项目
- Can Graph Learning Improve Task Planning?
  
  Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
  
  NeurIPS 2024 | December 2024
  
  DOI Publication Publication
- Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach
  
  Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Chencheng Zhang, V. Vardhanabhuti, Dongsheng Li, Lili Qiu
  
  NPJ Parkinson's Disease | December 2024, 第 10 卷
  
  DOI Publication Publication
- Towards Editing Time Series
  
  Baoyu Jing, Shuqi Gu, Tianyu Chen, Zhiyu Yang, Dongsheng Li, Jingrui He, Kan Ren
  
  2024 Neural Information Processing Systems | December 2024
  
  Publication
- Mitigate Position Bias in Large Language Models via Scaling a Single Dimension
  
  Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu
  
  June 2024
  
  Preprint
- LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought
  
  Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li
  
  IJCAI 2024 | May 2024
  
  DOI Publication
- Addressing Signal Delay in Deep Reinforcement Learning
  
  Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li
  
  ICLR 2024 | May 2024
  
  PDF Publication Github
- Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
  
  Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
  
  NeurIPS 2024 | May 2024
  
  Publication Github
- 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 | May 2024
  
  PDF
- Disentangled Prompt Representation for Domain Generalization
  
  De Cheng, Zhipeng Xu, Xinyang Jiang, Nannan Wang, Dongsheng Li, Xinbo Gao
  
  CVPR 2024 | May 2024
  
  Publication
- Synergizing habits and goals with variational Bayes
  
  Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani
  
  Nature Communications | May 2024
  
  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
- MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks
  
  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) | March 2024
  
  Outstanding Paper Award
  
  DOI Publication Publication Publication
- Understanding and Improving Training-free Loss-based Diffusion Guidance
  
  Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li
  
  NeurIPS 2024 | March 2024
  
  Publication
- Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
  
  Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
  
  ICML 2024 | February 2024
  
  DOI Publication Github
- Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
  
  Yubin Wang, Xinyang Jiang, De Cheng, Dongsheng Li, Cairong Zhao
  
  AAAI 2024 | December 2023
  
  DOI 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
- TaskBench: Benchmarking Large Language Models for Task Automation
  
  Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Y. Zhuang
  
  NeurIPS 2024 | November 2023
  
  DOI Publication Publication
- 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) | October 2023
  
  Preprint 项目
- End-to-End Word-Level Pronunciation Assessment with MASK Pre-training
  
  Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna K. Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu
  
  INTERSPEECH 2023 | August 2023
  
  Publication
- CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
  
  Yansen Wang, Kan Ren, Xinyang Jiang, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
  
  ICML 2023 | August 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
- Towards Understanding Omission in Dialogue Summarization
  
  Yicheng Zou, Kaitao Song, Xu Tan, Zhongkai Fu, Qi Zhang, Dongsheng Li, Tao Gui
  
  The 61st Annual Meeting of the Association for Computational Linguistics | 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
- Online Video Super-Resolution with Convolutional Kernel Bypass Graft
  
  Jun Xiao, Xinyang Jiang, Ningxin Zheng, Huan Yang, Yifan Yang, Yuqing Yang, Dongsheng Li, Kin-Man Lam
  
  IEEE Transactions on Multimedia | February 2023
  
  Publication 项目
- Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
  
  Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang
  
  AAAI 2023 | February 2023
  
  Publication
- 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
- Bootstrapped Transformer for Offline Reinforcement Learning
  
  Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li
  
  NeurIPS 2022 | November 2022
  
  Publication
- Parameter-free Dynamic Graph Embedding for Link Prediction
  
  Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
  
  2022 Neural Information Processing Systems | October 2022
  
  Publication
- Reinforcement Learning with Automated Auxiliary Loss Search
  
  Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li
  
  2022 Neural Information Processing Systems | October 2022
  
  Publication
- VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
  
  Che Wang, Xufang Luo, Keith Ross, Dongsheng Li
  
  2022 Neural Information Processing Systems | September 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
- 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
- Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling
  
  Kaitao Song, Yichong Leng, Xu Tan, Yicheng Zou, Tao Qin, Dongsheng Li
  
  2022 Neural Information Processing Systems | June 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
- 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
- Variational oracle guiding for reinforcement learning
  
  Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
  
  2022 International Conference on Learning Representations | March 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
- How Powerful is Graph Convolution for Recommendation?
  
  Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled Ben Letaief, Dongsheng Li
  
  Conference on Information and Knowledge Management (Oral) | November 2021
  
  Project: Inductive bias in neural architectures
  
  Publication
- CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
  
  Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
  
  2021 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
  
  2021 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
  
  2021 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
- 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
- MMInference: Accelerating Pre-filling for Long-Context VLMs 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
  
  ICML 2025 | July 2025
  
  Preprint Github 项目
- Chain-of-Model Learning for Language Model
  
  Kaitao Song, Xiaohua Wang, Xu Tan, Huiqiang Jiang, Chengruidong Zhang, Yongliang Shen, LU Cen, Li, Zifan Song, Caihua Shan, Yansen Wang, Kan Ren, Xiaoqing Zheng, Tao Qin, Yuqing Yang, Dongsheng Li, Lili Qiu
  
  NeurIPS 2025 | May 2025
  
  DOI
- 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
  
  ICLR 2025 | April 2025
  
  Publication Github 项目
- What Makes a Good Diffusion Planner for Decision Making?
  
  Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li
  
  ICLR 2025 | March 2025
  
  Publication
- Habitizing Diffusion Planning for Efficient and Effective Decision Making
  
  Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han
  
  2025 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
- SCBench: A KV Cache-Centric Analysis of Long-Context Methods
  
  Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
  
  ICLR 2025 | December 2024
  
  Preprint Github 项目
- 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
  
  NeurIPS 2024 | December 2024
  
  spotlight
  
  Preprint Github 项目
- Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach
  
  Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Chencheng Zhang, V. Vardhanabhuti, Dongsheng Li, Lili Qiu
  
  NPJ Parkinson's Disease | December 2024, 第 10 卷
  
  DOI Publication Publication
- Towards Editing Time Series
  
  Baoyu Jing, Shuqi Gu, Tianyu Chen, Zhiyu Yang, Dongsheng Li, Jingrui He, Kan Ren
  
  2024 Neural Information Processing Systems | December 2024
  
  Publication
- Can Graph Learning Improve Task Planning?
  
  Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
  
  NeurIPS 2024 | December 2024
  
  DOI Publication Publication
- Mitigate Position Bias in Large Language Models via Scaling a Single Dimension
  
  Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu
  
  June 2024
  
  Preprint
- LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought
  
  Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li
  
  IJCAI 2024 | May 2024
  
  DOI Publication
- Addressing Signal Delay in Deep Reinforcement Learning
  
  Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li
  
  ICLR 2024 | May 2024
  
  PDF Publication Github
- Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
  
  Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
  
  NeurIPS 2024 | May 2024
  
  Publication Github
- Synergizing habits and goals with variational Bayes
  
  Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani
  
  Nature Communications | May 2024
  
  Publication
- 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 | May 2024
  
  PDF
- 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
- MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks
  
  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) | March 2024
  
  Outstanding Paper Award
  
  DOI Publication Publication Publication
- Understanding and Improving Training-free Loss-based Diffusion Guidance
  
  Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li
  
  NeurIPS 2024 | March 2024
  
  Publication
- Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
  
  Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
  
  ICML 2024 | February 2024
  
  DOI Publication Github
- Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
  
  Yubin Wang, Xinyang Jiang, De Cheng, Dongsheng Li, Cairong Zhao
  
  AAAI 2024 | December 2023
  
  DOI 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
- TaskBench: Benchmarking Large Language Models for Task Automation
  
  Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Y. Zhuang
  
  NeurIPS 2024 | November 2023
  
  DOI Publication Publication
- 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) | October 2023
  
  Preprint 项目
- End-to-End Word-Level Pronunciation Assessment with MASK Pre-training
  
  Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna K. Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu
  
  INTERSPEECH 2023 | August 2023
  
  Publication
- CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
  
  Yansen Wang, Kan Ren, Xinyang Jiang, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
  
  ICML 2023 | August 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
- Towards Understanding Omission in Dialogue Summarization
  
  Yicheng Zou, Kaitao Song, Xu Tan, Zhongkai Fu, Qi Zhang, Dongsheng Li, Tao Gui
  
  The 61st Annual Meeting of the Association for Computational Linguistics | May 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
- Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
  
  Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang
  
  AAAI 2023 | February 2023
  
  Publication
- Bootstrapped Transformer for Offline Reinforcement Learning
  
  Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li
  
  NeurIPS 2022 | November 2022
  
  Publication
- Parameter-free Dynamic Graph Embedding for Link Prediction
  
  Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
  
  2022 Neural Information Processing Systems | October 2022
  
  Publication
- Reinforcement Learning with Automated Auxiliary Loss Search
  
  Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li
  
  2022 Neural Information Processing Systems | October 2022
  
  Publication
- VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
  
  Che Wang, Xufang Luo, Keith Ross, Dongsheng Li
  
  2022 Neural Information Processing Systems | September 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
- 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
- Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling
  
  Kaitao Song, Yichong Leng, Xu Tan, Yicheng Zou, Tao Qin, Dongsheng Li
  
  2022 Neural Information Processing Systems | 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
- 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
- Variational oracle guiding for reinforcement learning
  
  Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
  
  2022 International Conference on Learning Representations | March 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
- MMInference: Accelerating Pre-filling for Long-Context VLMs 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
  
  ICML 2025 | July 2025
  
  Preprint Github 项目
- SCBench: A KV Cache-Centric Analysis of Long-Context Methods
  
  Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
  
  ICLR 2025 | December 2024
  
  Preprint Github 项目
- 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
  
  NeurIPS 2024 | December 2024
  
  spotlight
  
  Preprint Github 项目
- Mitigate Position Bias in Large Language Models via Scaling a Single Dimension
  
  Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu
  
  June 2024
  
  Preprint
- 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) | October 2023
  
  Preprint 项目
- Towards Understanding Omission in Dialogue Summarization
  
  Yicheng Zou, Kaitao Song, Xu Tan, Zhongkai Fu, Qi Zhang, Dongsheng Li, Tao Gui
  
  The 61st Annual Meeting of the Association for Computational Linguistics | May 2023
  
  Publication
- 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
  
  ICLR 2025 | April 2025
  
  Publication Github 项目
- Disentangled Prompt Representation for Domain Generalization
  
  De Cheng, Zhipeng Xu, Xinyang Jiang, Nannan Wang, Dongsheng Li, Xinbo Gao
  
  CVPR 2024 | May 2024
  
  Publication
- Understanding and Improving Training-free Loss-based Diffusion Guidance
  
  Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li
  
  NeurIPS 2024 | March 2024
  
  Publication
- Online Video Super-Resolution with Convolutional Kernel Bypass Graft
  
  Jun Xiao, Xinyang Jiang, Ningxin Zheng, Huan Yang, Yifan Yang, Yuqing Yang, Dongsheng Li, Kin-Man Lam
  
  IEEE Transactions on Multimedia | February 2023
  
  Publication 项目
- 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
- VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
  
  Che Wang, Xufang Luo, Keith Ross, Dongsheng Li
  
  2022 Neural Information Processing Systems | September 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
- 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
- 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
  
  NeurIPS 2024 | December 2024
  
  spotlight
  
  Preprint Github 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
- 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
  
  2021 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
  
  2021 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
  
  2021 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
- End-to-End Word-Level Pronunciation Assessment with MASK Pre-training
  
  Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna K. Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu
  
  INTERSPEECH 2023 | August 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
- 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
- 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, Khaled Ben Letaief, Dongsheng Li
  
  Conference on Information and Knowledge Management (Oral) | November 2021
  
  Project: Inductive bias in neural architectures
  
  Publication
- How Powerful is Graph Convolution for Recommendation
  
  Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief, Dongsheng Li
  
  2021 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
  
  2021 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
  
  2021 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
- 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

- 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
- MMInference: Accelerating Pre-filling for Long-Context VLMs 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
  
  ICML 2025 | July 2025
  
  Preprint Github 项目
- Chain-of-Model Learning for Language Model
  
  Kaitao Song, Xiaohua Wang, Xu Tan, Huiqiang Jiang, Chengruidong Zhang, Yongliang Shen, LU Cen, Li, Zifan Song, Caihua Shan, Yansen Wang, Kan Ren, Xiaoqing Zheng, Tao Qin, Yuqing Yang, Dongsheng Li, Lili Qiu
  
  NeurIPS 2025 | May 2025
  
  DOI
- 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
  
  ICLR 2025 | April 2025
  
  Publication Github 项目
- What Makes a Good Diffusion Planner for Decision Making?
  
  Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li
  
  ICLR 2025 | March 2025
  
  Publication
- Habitizing Diffusion Planning for Efficient and Effective Decision Making
  
  Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han
  
  2025 International Conference on Machine Learning | February 2025
  
  Publication
- SCBench: A KV Cache-Centric Analysis of Long-Context Methods
  
  Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
  
  ICLR 2025 | December 2024
  
  Preprint Github 项目
- 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
  
  NeurIPS 2024 | December 2024
  
  spotlight
  
  Preprint Github 项目
- Towards Editing Time Series
  
  Baoyu Jing, Shuqi Gu, Tianyu Chen, Zhiyu Yang, Dongsheng Li, Jingrui He, Kan Ren
  
  2024 Neural Information Processing Systems | December 2024
  
  Publication
- Can Graph Learning Improve Task Planning?
  
  Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
  
  NeurIPS 2024 | December 2024
  
  DOI Publication Publication
- LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought
  
  Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li
  
  IJCAI 2024 | May 2024
  
  DOI Publication
- Addressing Signal Delay in Deep Reinforcement Learning
  
  Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li
  
  ICLR 2024 | May 2024
  
  PDF Publication Github
- Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
  
  Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
  
  NeurIPS 2024 | May 2024
  
  Publication Github
- Disentangled Prompt Representation for Domain Generalization
  
  De Cheng, Zhipeng Xu, Xinyang Jiang, Nannan Wang, Dongsheng Li, Xinbo Gao
  
  CVPR 2024 | May 2024
  
  Publication
- 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 | May 2024
  
  PDF
- 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
- MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks
  
  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) | March 2024
  
  Outstanding Paper Award
  
  DOI Publication Publication Publication
- Understanding and Improving Training-free Loss-based Diffusion Guidance
  
  Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li
  
  NeurIPS 2024 | March 2024
  
  Publication
- Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
  
  Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
  
  ICML 2024 | February 2024
  
  DOI Publication Github
- Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
  
  Yubin Wang, Xinyang Jiang, De Cheng, Dongsheng Li, Cairong Zhao
  
  AAAI 2024 | December 2023
  
  DOI Publication
- TaskBench: Benchmarking Large Language Models for Task Automation
  
  Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Y. Zhuang
  
  NeurIPS 2024 | November 2023
  
  DOI Publication Publication
- 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) | October 2023
  
  Preprint 项目
- End-to-End Word-Level Pronunciation Assessment with MASK Pre-training
  
  Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna K. Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu
  
  INTERSPEECH 2023 | August 2023
  
  Publication
- CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
  
  Yansen Wang, Kan Ren, Xinyang Jiang, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
  
  ICML 2023 | August 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
- 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
- Towards Understanding Omission in Dialogue Summarization
  
  Yicheng Zou, Kaitao Song, Xu Tan, Zhongkai Fu, Qi Zhang, Dongsheng Li, Tao Gui
  
  The 61st Annual Meeting of the Association for Computational Linguistics | May 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
- Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
  
  Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang
  
  AAAI 2023 | February 2023
  
  Publication
- Bootstrapped Transformer for Offline Reinforcement Learning
  
  Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li
  
  NeurIPS 2022 | November 2022
  
  Publication
- Parameter-free Dynamic Graph Embedding for Link Prediction
  
  Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
  
  2022 Neural Information Processing Systems | October 2022
  
  Publication
- Reinforcement Learning with Automated Auxiliary Loss Search
  
  Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li
  
  2022 Neural Information Processing Systems | October 2022
  
  Publication
- VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
  
  Che Wang, Xufang Luo, Keith Ross, Dongsheng Li
  
  2022 Neural Information Processing Systems | September 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
- 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
- Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling
  
  Kaitao Song, Yichong Leng, Xu Tan, Yicheng Zou, Tao Qin, Dongsheng Li
  
  2022 Neural Information Processing Systems | June 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
- 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
- Variational oracle guiding for reinforcement learning
  
  Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
  
  2022 International Conference on Learning Representations | March 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, Khaled Ben Letaief, Dongsheng Li
  
  Conference on Information and Knowledge Management (Oral) | November 2021
  
  Project: Inductive bias in neural architectures
  
  Publication
- How Powerful is Graph Convolution for Recommendation
  
  Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief, Dongsheng Li
  
  2021 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
  
  2021 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
  
  2021 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
- 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
- Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach
  
  Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Chencheng Zhang, V. Vardhanabhuti, Dongsheng Li, Lili Qiu
  
  NPJ Parkinson's Disease | December 2024, 第 10 卷
  
  DOI Publication Publication
- Synergizing habits and goals with variational Bayes
  
  Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani
  
  Nature Communications | May 2024
  
  Publication
- Online Video Super-Resolution with Convolutional Kernel Bypass Graft
  
  Jun Xiao, Xinyang Jiang, Ningxin Zheng, Huan Yang, Yifan Yang, Yuqing Yang, Dongsheng Li, Kin-Man Lam
  
  IEEE Transactions on Multimedia | February 2023
  
  Publication 项目
- 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
- Mitigate Position Bias in Large Language Models via Scaling a Single Dimension
  
  Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu
  
  June 2024
  
  Preprint
- 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

Dongsheng Li

论文与出版物

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

MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention

Chain-of-Model Learning for Language Model

SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents

What Makes a Good Diffusion Planner for Decision Making?

Habitizing Diffusion Planning for Efficient and Effective Decision Making

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

SCBench: A KV Cache-Centric Analysis of Long-Context Methods

MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

Can Graph Learning Improve Task Planning?

Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach

Towards Editing Time Series

Mitigate Position Bias in Large Language Models via Scaling a Single Dimension

LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought

Addressing Signal Delay in Deep Reinforcement Learning

Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators

CNN Kernels Can Be the Best Shapelets

Disentangled Prompt Representation for Domain Generalization

Synergizing habits and goals with variational Bayes

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

MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks

Understanding and Improving Training-free Loss-based Diffusion Guidance

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks

Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models

Large Multimodal Model for Real-World Radiology Report Generation

TaskBench: Benchmarking Large Language Models for Task Automation

LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

End-to-End Word-Level Pronunciation Assessment with MASK Pre-training

CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling

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

Towards Understanding Omission in Dialogue Summarization

Personalized Graph Signal Processing for Collaborative Filtering

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

Online Video Super-Resolution with Convolutional Kernel Bypass Graft

Adaptive Policy Learning for Offline-to-Online Reinforcement Learning

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

Bootstrapped Transformer for Offline Reinforcement Learning

Parameter-free Dynamic Graph Embedding for Link Prediction

Reinforcement Learning with Automated Auxiliary Loss Search

VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning

CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis

Finding Global Homophily in Graph Neural Networks When Meeting Heterophily

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

Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling

Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate 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

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

How Powerful is Graph Convolution for Recommendation?

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

Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation