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2026

• WeaveBench: A Long-Horizon, Real-World Benchmark for Computer-Use Agents with Hybrid Interfaces
  Wanli Li, Bowen Zhou, Yunyao Yu, Zhou Xu, Yifan Yang, Dongsheng Li, Caihua Shan.
  The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2026
  
• MedCUA-Bench: A Screenshot-Only Benchmark for Clinical Computer-Use Agents
  Jia Yu, Zilong Wang, Xinyang Jiang, Dongsheng Li, Shuo Wang.
  Findings of the Association for Computational Linguistics: EMNLP (EMNLP Findings). 2026
  
• Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?
  Jeonghye Kim, Xufang Luo, Minbeom Kim, Sangmook Lee, Dohyung Kim, Jiwon Jeon, Dongsheng Li, Yuqing Yang.
  The Third Conference on Language Modeling (COLM). 2026
  
• Improving Diffusion Planners by Self-Supervised Action Gating with Energies
  Yuan Lu, Dongqi Han, Yansen Wang, Dongsheng Li.
  The Forty-third International Conference on Machine Learning (ICML). 2026
  
• Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency
  Mingqing Xiao, Yansen Wang, Dongqi Han, Caihua Shan, Dongsheng Li.
  The Forty-third International Conference on Machine Learning (ICML). 2026
  
• Mitigating Plasticity Loss through Architectural Design in Continual Learning
  Niklas Koeppe, Luiz Felipe Vecchietti, Dongqi Han, Dongsheng Li, Sang Wan Lee.
  The Forty-third International Conference on Machine Learning (ICML). 2026
  
• Stabilized Supralinear Networks Learn to Switch Coding Strategies Balancing Cost and Performance
  Haoyu Albert Wang, Wei P. Dai, Jialun Ma, Jiawei Zhang, Jinqi Liu, Mingchen Jiang, Mingqing Xiao, Yansen Wang, Dongqi Han, Dongsheng Li, Yuguo Yu.
  The Forty-third International Conference on Machine Learning (ICML). 2026
  
• Alloc-MoE: Budget-Aware Expert Activation Allocation for Efficient Mixture-of-Experts Inference
  Baihui Liu, Kaiyuan Tian, Wei Wang, Zhaoning Zhang, Linbo Qiao, Dongsheng Li.
  The 64th Annual Meeting of the Association for Computational Linguistics (ACL). 2026
  
• GRASS: Gradient-based Adaptive Layer-wise Importance Sampling for Memory-efficient Large Language Model Fine-tuning
  Kaiyuan Tian, Yu Tang, Gongqingjian Jiang, Baihui Liu, Yifu Gao, Xialin Su, Linbo Qiao, Dongsheng Li.
  Findings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL Findings). 2026
  
• UniGCRec: Unified User-Item Quantization for Generative Cross-Domain Recommendation
  Chaoyue Ding, Jiahao Liu, Dongsheng Li, Shengkang Gu, Hansu Gu, Peng Zhang, Ning Gu, Tun Lu.
  The 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). 2026
  
• Drift-Aware Incremental Token Adaptation with Collaborative Semantics for Generative Recommendation
  Yuebo Feng, Jiahao Liu, Mingzhe Han, Dongsheng Li, Hansu Gu, Peng Zhang, Tun Lu, Ning Gu.
  The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). 2026
  
• LLM-Based User Simulation for Low-Knowledge Shilling Attacks on Recommender Systems
  Shengkang Gu, Jiahao Liu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Ning Gu, Li Shang, Tun Lu.
  The 19th ACM International Conference on Web Search and Data Mining (WSDM). 2026
  
• Rethinking Flexible Graph Similarity Computation: One-step Alignment with Global Guidance
  Zhouyang Liu, Ning Liu, Yixin Chen, Jiezhong He, Shuai Ma, Dongsheng Li.
  IEEE International Conference on Data Engineering (ICDE). 2026
  
• Stability and Generalization for Decentralized Markov SGD
  Jiahuan Wang, Ziqing Wen, Ping Luo, Dongsheng Li, Tao Sun.
  The 35th International Joint Conference on Artificial Intelligence (IJCAI). 2026
  
• Federated Parameter-Efficient Selective Fine-Tuning for Vision-Language Models via Global-Local Masking
  Wentao Gu, Xinyang Jiang, Junyao Gao, Yuhao Xue, Dongsheng Li, Yanwei Fu, Cairong Zhao.
  ACM Multimedia (MM). 2026
  
• Dynamic Feature-Embedding Communication via Codebook Distillation for Federated Recommendation
  Mingzhe Han, Jiahao Liu, Dongsheng Li, Jiankui Zhou, Yaqiong Li, Hansu Gu, Peng Zhang, Ning Gu, Tun Lu.
  The 35th ACM International Conference on Information and Knowledge Management (CIKM). 2026
  
• FedHUR: Learning Hierarchical Utility-Guided Client Relations for Personalized Federated Recommendation
  Mingzhe Han, Jiahao Liu, Dongsheng Li, Jiankui Zhou, Hansu Gu, Peng Zhang, Ning Gu, Tun Lu.
  The 35th ACM International Conference on Information and Knowledge Management (CIKM). 2026
  
• User-Controlled Intent Layers for LLM-Mediated Personalization: A Research Agenda for Recommender Systems
  Jiahao Liu, Mingzhe Han, Guanming Liu, Weihang Wang, Dongsheng Li, Hansu Gu, Peng Zhang, Tun Lu, Ning Gu.
  The 20th ACM Conference on Recommender Systems (RecSys). 2026
  
• Neural Value Alignment: Human-AI Collaboration Under Goal-Action Ambiguity
  Xin Xu, Yansen Wang, Dongqi Han, Dongsheng Li, Sang Wan Lee.
  IEEE Transactions on Cybernetics (TCYB). 2026 (Accepted)
  
• Dementia Etiology Diagnosis via Collaborative Meta Knowledge Enhancement
  Siyuan Du, Mengxi Chen, Xinyang Jiang, Zilong Wang, Jiangchao Yao, Dongsheng Li, Ya Zhang, Lili Qiu, Yanfeng Wang.
  IEEE Transactions on Medical Imaging (TMI). 2026
  
• A disease-centric vision-language foundation model for precision oncology in kidney cancer
  Yuhui Tao, Zhongwei Zhao, Zilong Wang, Xufang Luo, Feng Chen, Kang Wang, Chuanfu Wu, Xue Zhang, Shaoting Zhang, Jiaxi Yao, Xingwei Jin, Xinyang Jiang, Yifan Yang, Dongsheng Li, Lili Qiu, Zhiqiang Shao, Jianming Guo, Nengwang Yu, Ying Xiong, Shuo Wang.
  Nature Communications. 2026
  
• Mitigating algorithmic unfairness arising from forgetfulness of medical records in clinical artificial intelligence
  Yixuan Chen, Anshul Thakur, Andrew A. S. Soltan, Yifei Shen, Dongsheng Li, Mingzhi Dong, Li Shang, David A. Clifton, Yujiang Wang.
  Nature Communications. 2026
  
• Dual-granularity Sinkhorn Distillation for Enhanced Learning from Long-Tailed Noisy Data
  Feng Hong, Yu Huang, Zihua Zhao, Zhihan Zhou, Jiangchao Yao, Dongsheng Li, Ya Zhang, Yanfeng Wang.
  Machine Learning (ML). 2026
  
• Person Identity Shift for Privacy-Preserving Person Re-identification
  Shuguang Dou, Xinyang Jiang, Qingsong Zhao, Yansen Wang, Dongsheng Li, Cairong Zhao.
  Science China Information Sciences (SCIS). 2026
  
• Prompt Disentanglement via Language Guidance and Representation Alignment for Domain Generalization
  De Cheng, Zhipeng Xu, Xinyang Jiang, Dongsheng Li, Nannan Wang, Xinbo Gao.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2026
  
• 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 (TIP). 2026
  
• Exploring Interpretability for Visual Prompt Tuning with Cross-layer Concepts
  Yubin Wang, XINYANG JIANG, De Cheng, Xiangqian Zhao, Zilong Wang, Dongsheng Li, Cairong Zhao.
  The Fourteenth International Conference on Learning Representations (ICLR). 2026
  
• Trade in Minutes! Rationality-Driven Agentic System for Quantitative Financial Trading
  Zifan Song, Kaitao Song, Guosheng Hu, Ding Qi, Junyao Gao, Xiaohua Wang, Dongsheng Li, Cairong Zhao.
  The Fourteenth International Conference on Learning Representations (ICLR). 2026
  
• Joint Adaptation of Uni-modal Foundation Models for Multi-modal Alzheimer's Disease Diagnosis
  Wentao Gu, Yuquan Li, XINYANG JIANG, Zilong Wang, Dongsheng Li, Zehui Li, Zijian Dong, Cairong Zhao.
  The Fourteenth International Conference on Learning Representations (ICLR). 2026
  
• Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks
  Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Dongsheng Li, Zhouchen Lin.
  The Fourteenth International Conference on Learning Representations (ICLR). 2026
  
• EgoBrain: Synergizing Minds and Eyes For Human Action Understanding
  Nie Lin, Yansen Wang, Dongqi Han, Weibang Jiang, Jingyuan Li, Ryosuke Furuta, Yoichi Sato, Dongsheng Li.
  The Fourteenth International Conference on Learning Representations (ICLR). 2026
  
• Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization
  Zeyuan Liu, Jeonghye Kim, Xufang Luo, Dongsheng Li, Yuqing Yang.
  The Fourteenth International Conference on Learning Representations (ICLR). 2026
  
• Reasoning-Driven Multimodal LLM for Domain Generalization
  Zhipeng Xu, Zilong Wang, XINYANG JIANG, Dongsheng Li, De Cheng, Nannan Wang.
  The Fourteenth International Conference on Learning Representations (ICLR). 2026
  
• Do Not Let Low-Probability Tokens Over-Dominate in RL for LLMs
  Zhihe Yang, Xufang Luo, Zilong Wang, Dongqi Han, Zhiyuan He, Dongsheng Li, Yunjian Xu.
  The Fourteenth International Conference on Learning Representations (ICLR). 2026
  
• Improving Diffusion Models for Class-imbalanced Training Data via Capacity Manipulation
  Feng Hong, Jiangchao Yao, Yifei Shen, Dongsheng Li, Ya Zhang, Yanfeng Wang.
  The Fourteenth International Conference on Learning Representations (ICLR). 2026
  
• Improving Long-Context Summarization with Multi-Granularity Retrieval Optimization
  Xueyu Chen, Kaitao Song, Zifan Song, Dongsheng Li, Cairong Zhao.
  The Fortieth AAAI Conference on Artificial Intelligence (AAAI). 2026
  

2025

• Mitigate Position Bias in LLMs via Scaling a Single Hidden States Channel
  Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu.
  Findings of the Association for Computational Linguistics (ACL Findings). 2025
  
• Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Language Model Inference
  Jixian Zhou, Fang Dong, Ruijun Huang, Hengjie Cao, Mengyi Chen, Yifeng Yang, Anrui Chen, Mingzhi Dong, Yujiang Wang, Dongsheng Li, David A. Clifton, Qin Lv, Rui Zhu, Chun Zhang, Fan Yang, Li Shang.
  The Forty-second International Conference on Machine Learning (ICML). 2025
  
• FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation
  Mingzhe Han, Dongsheng Li, Jiafeng Xia, Jiahao Liu, Hansu Gu, Peng Zhang, Ning Gu, Tun Lu.
  The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). 2025
  
• Improving LLM-powered Recommendations with Personalized Information
  Jiahao Liu, Xueshuo Yan, Dongsheng Li, Guangping Zhang, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu.
  The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). 2025
  
• AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations
  Jiahao Liu, Shengkang Gu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu.
  The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). 2025
  
• Unbiased Collaborative Filtering with Fair Sampling
  Jiahao Liu, Dongsheng Li, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu.
  The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). 2025
  
• RECOSIM: A Universal, Accurate, and Scalable Simulation Framework for Online Community Recommendations
  Guangping Zhang, Dongsheng Li, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu.
  ACM Transactions on Information Systems (TOIS). 2025
  
• EvalAgent: Towards Evaluating News Recommender Systems with LLM-based Agents
  Guangping Zhang, Peng Zhang, Jiahao Liu, Zhuoheng Li, Dongsheng Li, Hansu Gu, Tun Lu, Ning Gu.
  The 34th ACM International Conference on Information and Knowledge Management (CIKM). 2025
  
• AOTree: Aspect Order Tree-based Model for Explainable Recommendation
  Wenxin Zhao, Peng Zhang, Hansu Gu, Dongsheng Li, Tun Lu, Ning Gu.
  The International AAAI Conference on Web and Social Media (ICWSM). 2025
  
• Addressing Popularity Discrepancy in Collaborative Filtering
  Cizhou Yu, Dongsheng Li, Hansu Gu, Peng Zhang, Ning Gu, Tun Lu.
  Knowledge and Information Systems (KAIS). 2025
  
• Filtering Discomforting Recommendations with Large Language Models
  Jiahao Liu, Yiyang Shao, Peng Zhang, Dongsheng Li, Hansu Gu, Chao Chen, Longzhi Du, Tun Lu, Ning Gu.
  The Web Conference (WWW). 2025
  
• Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation
  Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu.
  The 18th ACM International Conference on Web Search and Data Mining (WSDM). 2025
  
• Denoising Reuse: Exploiting Inter-frame Motion Consistency for Efficient Video Generation
  Chenyu Wang, Shuo Yan, Yixuan Chen, Xianwei Wang, Yujiang Wang, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Rui Zhu, David A. Clifton, Robert P. Dick, Qin Lv, Fan Yang, Tun Lu, Ning Gu, Li Shang.
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). 2025
  
• Toward Relative Positional Encoding in Spiking Transformers
  Changze Lv, Yansen Wang, Dongqi Han, Yifei Shen, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li.
  The Thirty-ninth Conference on Neural Information Processing Systems (NeurIPS). 2025 (Spotlight)
  
• Chain-of-Model Learning for Language Model
  Xiaohua Wang, Kaitao Song, Xu Tan, Huiqiang Jiang, Chengruidong Zhang, Yongliang Shen, Cen LU, Zihao Li, Zifan Song, Caihua Shan, Yansen Wang, Kan Ren, Xiaoqing Zheng, Tao Qin, Yuqing Yang, Dongsheng Li, Lili Qiu.
  The Thirty-ninth Conference on Neural Information Processing Systems (NeurIPS). 2025
  
• Accelerating Block Coordinate Descent for LLM Finetuning via Landscape Expansion
  Qijun Luo, Yifei Shen, Liangzu Peng, Dongsheng Li, Xiao Li.
  The Thirty-ninth Conference on Neural Information Processing Systems (NeurIPS). 2025
  
• Learning to Instruct for Visual Instruction Tuning
  Zhihan Zhou, Feng Hong, Jiaan Luo, Yushi Ye, Jiangchao Yao, Dongsheng Li, Bo Han, Ya Zhang, Yanfeng Wang.
  The Thirty-ninth Conference on Neural Information Processing Systems (NeurIPS). 2025
  
• 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.
  The Thirty-ninth Conference on Neural Information Processing Systems (NeurIPS). 2025
  
• Omni-DNA: A Genomic Model Supporting Sequence Understanding, Long-context, and Textual Annotation
  Zehui Li, Vallijah Subasri, Yifei Shen, Dongsheng Li, Wentao Gu, Guy-Bart Stan, Yiren Zhao, Caihua Shan.
  The Thirty-ninth Conference on Neural Information Processing Systems (NeurIPS). 2025
  
• EA-HAS-Bench and Language-Enhanced Shrinkage Search for Energy-aware NAS
  Cairong Zhao, Shuguang Dou, Jiale Zhao, Xinyang Jiang, Junyao Gao, Yuge Zhang, Bo Li, Dongsheng Li.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2025
  
• Causal disentanglement for single-cell representations and controllable counterfactual generation
  Yicheng Gao, Kejing Dong, Caihua Shan, Dongsheng Li, Qi Liu.
  Nature Communications. 2025
  
• Lab-in-the-loop Machine Learning for Brain-Targeting Delivery System Design
  Qiujun Qiu, Shiyi Li, Jixian Zhang, Jixiang Chen, Xinyi Ding, Shengyao Liu, Jianyong Sheng, Zhiqing Pang, Ru Zhang, Anni Wang, Meichen Dong, Meng Zhang, Miaomiao Zhang, Tun Lu, Ning Gu, Shuigeng Zhou, Defang Ouyang, Dongsheng Li, Shuangjia Zheng, Jianxin Wang.
  Cell Biomaterials. 2025
  
• VisRL: Intention-Driven Visual Perception via Reinforced Reasoning
  Zhangquan Chen, Xufang Luo, Dongsheng Li.
  The 2025 International Conference on Computer Vision (ICCV). 2025
  
• Habitizing Diffusion Planning for Efficient and Effective Decision Making
  Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han.
  The Forty-second International Conference on Machine Learning (ICML). 2025
  
• MAPSparse: Accelerating Pre-filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention
  Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu.
  The Forty-second International Conference on Machine Learning (ICML). 2025
  
• Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key
  Zhihe Yang, Xufang Luo, Dongqi Han, Yunjian Xu, Dongsheng Li.
  The 2025 Conference on Computer Vision and Pattern Recognition (CVPR). 2025 (oral)
  
• Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization
  Zhipeng Xu, De Cheng, XINYANG JIANG, Nannan Wang, Dongsheng Li, Xinbo Gao.
  The 2025 Conference on Computer Vision and Pattern Recognition (CVPR). 2025
  
• EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction
  Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Yongliang Shen, Kan Ren, Dongsheng Li, Deqing Yang.
  The 2025 Annual Conference of the Nations of the Americas Chapter of the ACL (NAACL). 2025
  
• EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms
  Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Dongsheng Li, Deqing Yang.
  The 2025 Annual Conference of the Nations of the Americas Chapter of the ACL (NAACL). 2025
  
• How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension
  Xinnan Dai, Haohao Qu, Yifei Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan.
  The Thirteenth International Conference on Learning Representations (ICLR). 2025
  
• SharedContextBench: How Lossy are Long-context Methods in KV Cache Reuse
  YUCHENG LI, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu.
  The Thirteenth International Conference on Learning Representations (ICLR). 2025
  
• SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents
  Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao.
  The Thirteenth International Conference on Learning Representations (ICLR). 2025
  
• NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
  Weibang Jiang, Yansen Wang, Bao-liang Lu, Dongsheng Li.
  The Thirteenth International Conference on Learning Representations (ICLR). 2025
  
• pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation
  Shentong Mo, Xufang Luo, Dongsheng Li.
  The Thirteenth International Conference on Learning Representations (ICLR). 2025
  
• What Makes a Good Diffusion Planner for Decision Making?
  Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li.
  The Thirteenth International Conference on Learning Representations (ICLR). 2025 (Spotlight)
  
• DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models
  Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu, XINYANG JIANG, Yifan Yang, Dongsheng Li, Laurent Itti, Vibhav Vineet, Yunhao Ge.
  The Thirteenth International Conference on Learning Representations (ICLR). 2025
  
• Translating Mental Imaginations into Characters with Codebooks and Dynamics-Enhanced Decoding
  Jingyuan Li, Yansen Wang, Nie Lin, Dongsheng Li.
  2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2025
  

2024

• 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, Varut Vardhanabhuti, Dongsheng Li, Lili Qiu.
  npj Parkinson's Disease. 2024
  
• Understanding and Improving Training-free Loss-based Diffusion Guidance
  Yifei Shen, XINYANG JIANG, Yifan Yang, Yezhen Wang, Dongqi Han, Dongsheng Li.
  The Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS). 2024
  
• Can Graph Learning Improve Planning in LLM-based Agents?
  Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Hong Cheng, Siwei Wang, Wei Chen, Jiarui Feng, Bohang Zhang, Yun Xiong, Dongsheng Li.
  The Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS). 2024
  
• Advancing Spiking Neural Networks for Sequential Modeling through Central Pattern Generators
  Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li.
  The Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS). 2024 (Spotlight)
  
• EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals
  Xuanhao Liu, Yan-Kai Liu, Yansen Wang, Kan Ren, Hanwen Shi, Zilong Wang, Dongsheng Li, Bao-liang Lu, Wei-Long Zheng.
  The Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS). 2024
  
• Towards Editing Time Series
  Baoyu Jing, Shuqi Gu, Tianyu Chen, Zhiyu Yang, Dongsheng Li, Jingrui He, Kan Ren.
  The Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS). 2024
  
• Once Read is Enough: Finetuning-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge
  Fang Dong, Mengyi Chen, Jixian Zhou, Yubin Shi, Yixuan Chen, Mingzhi Dong, Yujiang Wang, Dongsheng Li, Xiaochen Yang, Rui Zhu, Robert P. Dick, Qin Lv, Fan Yang, Tun Lu, Ning Gu, Li Shang.
  The Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS). 2024
  
• MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
  Huiqiang Jiang, YUCHENG LI, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu.
  The Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS). 2024 (Spotlight)
  
• TaskBench: Benchmarking Large Language Models for Task Automation
  Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Yueting Zhuang.
  The Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS). 2024
  
• AI-powered omics-based drug pair discovery for pyroptosis therapy targeting triple-negative breast cancer
  Boshu Ouyang, Caihua Shan, Shun Shen, Xinnan Dai, Qingwang Chen, Xiaomin Su, Yongbin Cao, Xifeng Qin, Ying He, Siyu Wang, Ruizhe Xu, Ruining Hu, Leming Shi, Tun Lu, Wuli Yang, Shaojun Peng, Jun Zhang, Jianxin Wang, Dongsheng Li & Zhiqing Pang.
  Nature Communications. 2024
  
• Automated Contrastive Learning Strategy Search for Time Series
  Baoyu Jing, Yansen Wang, Guoxin Sui, Jing Hong, Jingrui He, Yuqing Yang, Dongsheng Li, Kan Ren.
  The 33rd ACM International Conference on Information and Knowledge Management (CIKM). 2024
  
• Online Video Quality Enhancement with Spatial-Temporal Look-up Tables
  Zefan Qu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Cairong Zhao.
  European Conference on Computer Vision (ECCV). 2024
  
• Unified Medical Image Pre-training in Language-Guided Common Semantic Space
  Xiaoxuan He, Yifan Yang, Xinyang Jiang, Xufang Luo, Haoji Hu, Siyun Zhao, Dongsheng Li, Yuqing Yang, Lili Qiu.
  European Conference on Computer Vision (ECCV). 2024
  
• Unlocking the potential: T1-weighed MRI as a powerful predictor of levodopa response in Parkinson’s disease
  Junyi Yan, Xufang Luo, Jiahang Xu, Dongsheng Li, Lili Qiu, Dianyou Li, Peng Cao, Chencheng Zhang.
  Insights into Imaging. 2024
  
• Synergizing habits and goals with variational Bayes
  Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani.
  Nature Communications. 2024
  
• Re-ID-leak: Membership Inference Attacks Against Person Re-identification
  Junyao Gao, Xinyang Jiang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cairong Zhao.
  International Journal of Computer Vision (IJCV). 2024
  
• Resurrecting Label Propagation for Graphs with Heterophily and Label Noise
  Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li.
  The 2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). 2024
  
• Improving Large Language Models in Event Relation Logical Prediction
  Meiqi Chen, Yubo Ma, Kaitao Song, Yixin Cao, Yan Zhang, Dongsheng Li.
  The 62nd Annual Meeting of the Association for Computational Linguistics (ACL). 2024
  
• 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
  
• Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
  Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li.
  The Forty-first International Conference on Machine Learning (ICML). 2024
  
• MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks (Outstanding Paper)
  Lei Zhang, Yuge Zhang, Kan Ren, Dongsheng Li, Yuqing Yang.
  The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL). 2024
  
• Hierarchical Recognizing Vector Graphics and A New Chart-based Vector Graphics Dataset
  Shuguang Dou, Xinyang Jiang, Lu Liu, Lu Ying, Caihua Shan, Yifei Shen, Xuanyi Dong, Yun Wang, Dongsheng Li, Cairong Zhao.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2024
  
• LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought
  Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li.
  The 33rd International Joint Conference on Artificial Intelligence (IJCAI). 2024
  
• Disentangled Prompt Representation for Domain Generalization
  De Cheng, Zhipeng Xu, Xinyang Jiang, Nannan Wang, Dongsheng Li, Xinbo Gao.
  The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR). 2024
  
• Online Streaming Video Super-Resolution with Convolutional Look-Up Table
  Guanghao Yin, Zefan Qu, Xinyang Jiang, Zhenhua Han, Ningxin Zheng, Huan Yang, Xiaohong Liu, Yuqing Yang, Dongsheng Li, Lili Qiu.
  IEEE Transactions on Image Processing (TIP). 2024
  
• Addressing Signal Delay in Deep Reinforcement Learning
  Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li.
  The Twelfth International Conference on Learning Representations (ICLR). 2024 (Spotlight)
  
• Training-free Multi-objective Diffusion Model for 3D Molecule Generation
  Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li.
  The Twelfth International Conference on Learning Representations (ICLR). 2024
  
• CNN Kernels Can Be the Best Shapelets
  Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li.
  The Twelfth International Conference on Learning Representations (ICLR). 2024
  
• Learning Domain Invariant Prompt for Vision-Language Models
  Cairong Zhao, Yubin Wang, Xinyang Jiang, Yifei Shen, Kaitao Song, Dongsheng Li, Duoqian Miao.
  IEEE Transactions on Image Processing (TIP). 2024
  
• Large Language Models Empowered Autonomous Edge AI for Connected Intelligence
  Yifei Shen, Jiawei Shao, Xinjie Zhang, Zehong Lin, Hao Pan, Dongsheng Li, Jun Zhang, Khaled B. Letaief.
  IEEE Communications Magazine. 2024
  
• Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
  Yubin Wang, Xinyang Jiang, De Cheng, Dongsheng Li, Cairong Zhao.
  The Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI). 2024
  

2023

• HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
  Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang.
  The Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS). 2023
  
• ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling
  Yuqi Chen, Kan Ren, Yansen Wang, Yuchen Fang, Weiwei Sun, Dongsheng Li.
  The Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS). 2023
  
• Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models
  Yubin Shi, Yixuan Chen, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert P. Dick, Qin Lv, Yingying Zhao, Fan Yang, Tun Lu, Ning Gu, Li Shang.
  The Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS). 2023
  
• Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling
  Ke Yi, Yansen Wang, Kan Ren, Dongsheng Li.
  The Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS). 2023
  
• AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine
  Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Varut Vardhanabhuti, Dongsheng Li.
  Machine Learning for Health (ML4H). 2023
  
• End-to-End Word-Level Pronunciation Assessment with MASK Pre-training
  Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu.
  The 24th INTERSPEECH Conference (INTERSPEECH). 2023
  
• Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling
  Ziyue Li, Yuchen Fang, You Li, Kan Ren, Yansen Wang, Xufang Luo, Juanyong Duan, Congrui Huang, Dongsheng Li, Lili Qiu.
  IEEE International Conference on Systems, Man, and Cybernetics (SMC). 2023
  
• Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism
  Jiaqi Gao, Xinyang Jiang, Yuqing Yang, Dongsheng Li, Lili Qiu.
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2023
  
• Leveraging Pretrained Representations with Task-related Keywords for Alzheimer's Disease Detection
  Jinchao Li, Kaitao Song, Junan Li, Bo Zheng, Dongsheng Li, Xixin Wu, Xunying Liu, Helen Meng.
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2023
  
• A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition
  Jinchao Li, Xixin Wu, Kaitao Song, Dongsheng Li, Xunying Liu, Helen Meng.
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2023
  
• Invisible Backdoor Attack with Dynamic Triggers against Person Re-identification
  Wenli Sun, Xinyang Jiang, Shuguang Dou, Dongsheng Li, Douqian Miao, Cheng Deng, Cairong Zhao.
  IEEE Transactions on Information Forensics and Security (TIFS). 2023
  
• Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance
  Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu.
  The 29th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). 2023
  
• Towards Understanding Omission in Dialogue Summarization
  Yicheng Zou, Kaitao Song, Xu Tan, Zhongkai Fu, Tao Gui, Qi Zhang and Dongsheng Li.
  The 61st Annual Meeting of the Association for Computational Linguistics (ACL). 2023
  
• DiffusionNER: Boundary Diffusion for Named Entity Recognition
  Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu and Yueting Zhuang.
  The 61st Annual Meeting of the Association for Computational Linguistics (ACL). 2023
  
• CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
  Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li.
  The Fortieth International Conference on Machine Learning (ICML). 2023
  
• Online Video Super-Resolution with Convolutional Kernel Bypass Grafts
  Jun Xiao, Xinyang Jiang, Ningxin Zheng, Huan Yang, Yifan Yang, Yuqing Yang, Dongsheng Li, Kin-Man Lam.
  IEEE Transactions on Multimedia (TMM). 2023
  
• Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
  Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li and Ming Gao.
  The Web Conference (WWW). 2023
  
• SIMPLE: Specialized Model-Sample Matching for Domain Generalization
  Ziyue Li, Kan Ren, XINYANG JIANG, Yifei Shen, Haipeng Zhang, Dongsheng Li.
  The 11th International Conference on Learning Representations (ICLR). 2023
  
• EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark
  Shuguang Dou, XINYANG JIANG, Cai Rong Zhao, Dongsheng Li.
  The 11th International Conference on Learning Representations (ICLR). 2023 (Spotlight)
  
• Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition
  Yixuan Chen, Yubin Shi, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert Dick, Qin Lv, Yingying Zhao, Fan Yang, Ning Gu, Li Shang.
  The 11th International Conference on Learning Representations (ICLR). 2023
  
• Explaining Temporal Graph Models through an Explorer-Navigator Framework
  Wenwen Xia, Mincai Lai, Caihua Shan, Yao Zhang, Xinnan Dai, Xiang Li, Dongsheng Li.
  The 11th International Conference on Learning Representations (ICLR). 2023
  
• Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
  Eric Qu, Xufang Luo, Dongsheng Li.
  The 11th International Conference on Learning Representations (ICLR). 2023 (Spotlight)
  
• Towards Inference Efficient Deep Ensemble Learning
  Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li.
  The 37th AAAI Conference on Artificial Intelligence (AAAI). 2023
  
• Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
  Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang.
  The 37th AAAI Conference on Artificial Intelligence (AAAI). 2023
  
• Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
  Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li.
  The 37th AAAI Conference on Artificial Intelligence (AAAI). 2023
  
• Similarity Distribution based Membership Inference Attack on Person Re-identification
  Junyao Gao, Xinyang Jiang, Huishuai Zhang, Yifan Yang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao.
  The 37th AAAI Conference on Artificial Intelligence (AAAI). 2023
  

2022

• Unveiling Causal Attention in Dogs' Eyes with Smart Eyewear
  Yingying Zhao, Ning Li, Wentao Pan, Yujiang Wang, Mingzhi Dong, Xianghua Ding, Qin Lv, Robert P. Dick, Dongsheng Li, Fan Yang, Tun Lu, Ning Gu, Li Shang.
  ACM Interactive Mobile Wearable & Ubiquitous Technologies (IMWUT), Vol. 6, No. 4, 2022.
  
• Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech
  Kaitao Song, Teng Wan, Bixia Wang, Huiqiang Jiang, Luna Qiu, Jiahang Xu, Liping Jiang, Qun Lou, Yuqing Yang, Dongsheng Li, Xudong Wang, Lili Qiu.
  The 23rd Interspeech Conference (INTERSPEECH). 2022
  
• Metabolic characterization of hypertrophic cardiomyopathy in human heart
  Wenmin Wang, Jizheng Wang, Ke Yao, Shuiyun Wang, Meng Nie, Yizi Zhao, Bohong Wang, Huanhuan Pang, Jingjing Xu, Guixin Wu, Minjie Lu, Nan Tang, Chunmei Qi, Hengzhi Pei, Xufang Luo, Dongsheng Li, Tianshu Yang, Qing Sun, Xiang Wei, Yan Li, Dingsheng Jiang, Peng Li, Lei Song, Zeping Hu.
  Nature Cardiovascular Research. 2022
  
• Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling
  Kaitao Song, Yichong Leng, Xu Tan, Yicheng Zou, Tao Qin, Dongsheng Li.
  The Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS). 2022
  
• VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
  Che Wang, Xufang Luo, Keith W. Ross, Dongsheng Li.
  The Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS). 2022
  
• Bootstrapped Transformer for Offline Reinforcement Learning
  Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li.
  The Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS). 2022
  
• Reinforcement Learning with Automated Auxiliary Loss Search
  Tairan He, Yuge Zhang, Kan Ren, Che Wang, Minghuan Liu, Weinan Zhang, Dongsheng Li, Yuqing Yang.
  The Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS). 2022
  
• CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
  Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang.
  The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). 2022
  
• Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian.
  The 39th International Conference on Machine Learning (ICML). 2022
  
• Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble
  Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li.
  The 31st International Joint Conference on Artificial Intelligence (IJCAI). 2022
  
• RenderNet: Unified 2D/3D Recognizer with Latent Space Rendering
  Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li.
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2022 (Oral)
  
• Variational oracle guiding for reinforcement learning
  Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li.
  The Tenth International Conference on Learning Representations (ICLR). 2022
  
• Recursive Disentanglement Network
  Yixuan Chen, Yubin Shi, Dongsheng Li, Yujiang Wang, Mingzhi Dong, Yingying Zhao, Robert Dick, Qin Lv, Fan Yang, Li Shang.
  The Tenth International Conference on Learning Representations (ICLR). 2022
  
• Cross-Modal Ambiguity Learning for Multimodal Fake News Detection
  Yixuan Chen, Dongsheng Li, Peng Zhang, Jie Sui, Qin Lv, Lu Tun and Li Shang.
  The Web Conference (WWW). 2022
  
• MINDSim: User Simulator for News Recommenders
  Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie and Dongsheng Li.
  The Web Conference (WWW). 2022
  
• Accurate and Explainable Recommendation via Review Rationalization
  Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo and Ning Gu.
  The Web Conference (WWW). 2022
  
• Neural Piecewise-Constant Delay Differential Equations
  Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin.
  Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI). 2022
  
• Invariant Information Bottleneck for Domain Generalization
  Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado J. Reed, Jun Zhang, Dongsheng Li, Kurt Keutzer, Han Zhao.
  Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI). 2022
  

2021

• Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations.
  Xing, X., Xiong, Y., Yang, R., Wang, R., Wang, W., Kan, H., Lu, T., Li, D., Cao, J., Peñuelas, J., Ciais, P., Bauer, N., Boucher, O., Balkanski, Y., Hauglustaine, D., Brasseur, G., Morawska, L., Janssens. I.A., Wang, X., Sardans, J., Wang, Y., Deng, Y., Wang, L., Chen, J., Tang, X., Zhang, R.
  Proceedings of the National Academy of Sciences (PNAS). 2021
  
• Recognizing Vector Graphics without Rasterization
  Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li.
  The 2021 Conference on Neural Information Processing Systems (NeurIPS). 2021
  
• Reinforcement Learning Enhanced Explainer for Graph Neural Networks
  Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li.
  The 2021 Conference on Neural Information Processing Systems (NeurIPS). 2021
  
• Towards Generating Real-World Time Series Data
  Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, and Dongsheng Li.
  The 21st IEEE International Conference on Data Mining (ICDM). 2021
  
• How Powerful is Graph Convolution for Recommendation?
  Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief and Dongsheng Li.
  The 30th ACM International Conference on Information and Knowledge Management (CIKM). 2021
  
• CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
  Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren and Yangyong Zhu.
  The 30th ACM International Conference on Information and Knowledge Management (CIKM). 2021
  
• Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
  Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li.
  International Conference on Computer Vision (ICCV). 2021
  
• A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline
  Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang.
  IEEE Transactions on Multimedia (TMM), 2021
  
• Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation
  Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Trevor Darrell, Kurt Keutzer, Han Zhao.
  The Conference on Computer Vision and Pattern Recognition (CVPR), 2021