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: 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