Li, Shuai

111 publications

IJCAI 2025 A Survey on Bandit Learning in Matching Markets Shuai Li, Zilong Wang, Fang Kong

AAAI 2025 Adaptive Merchant-Centric Risk Control via Unbiased Decision-Making and Dynamic Optimization in E-Commerce Xu Liu, Yiqiang Lu, Jian Liu, Tianyi Zhang, Weiqiang Wang, Qian Liu, Shuai Li

ICLR 2025 Bandit Learning in Matching Markets with Indifference Fang Kong, Jingqi Tang, Mingzhu Li, Pinyan Lu, John C.S. Lui, Shuai Li

ICLR 2025 Cafe-Talk: Generating 3D Talking Face Animation with Multimodal Coarse- and Fine-Grained Control Hejia Chen, Haoxian Zhang, Shoulong Zhang, Xiaoqiang Liu, Sisi Zhuang, Zhangyuan, Pengfei Wan, Di Zhang, Shuai Li

AAAI 2025 Conditional Diffusion Models Based Conditional Independence Testing Yanfeng Yang, Shuai Li, Yingjie Zhang, Zhuoran Sun, Hai Shu, Ziqi Chen, Renming Zhang

NeurIPS 2025 Convex Potential Mirror Langevin Algorithm for Efficient Sampling of Energy-Based Models Yang Zitao, Amin Ullah, Shuai Li, Li Fuxin, Jun Li

AAAI 2025 CtrlAvatar: Controllable Avatars Generation via Disentangled Invertible Networks Wenfeng Song, Yang Ding, Fei Hou, Shuai Li, Aimin Hao, Xia Hou

NeurIPS 2025 DNAEdit: Direct Noise Alignment for Text-Guided Rectified Flow Editing Chenxi Xie, Minghan Li, Shuai Li, Yuhui Wu, Qiaosi Yi, Lei Zhang

NeurIPS 2025 DP²O-SR: Direct Perceptual Preference Optimization for Real-World Image Super-Resolution Rongyuan Wu, Lingchen Sun, Zhengqiang Zhang, Shihao Wang, Tianhe Wu, Qiaosi Yi, Shuai Li, Lei Zhang

ICCV 2025 Dual-Rate Dynamic Teacher for Source-Free Domain Adaptive Object Detection Qi He, Xiao Wu, Jun-Yan He, Shuai Li

ICCV 2025 Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLM Han Wang, Yuxiang Nie, Yongjie Ye, Yanjie Wang, Shuai Li, Haiyang Yu, Jinghui Lu, Can Huang

IJCAI 2025 Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition Dongxie Wen, Xiao Zhang, Zhewei Wei, Chenping Hou, Shuai Li, Weinan Zhang

ICCV 2025 Fine-Structure Preserved Real-World Image Super-Resolution via Transfer VAE Training Qiaosi Yi, Shuai Li, Rongyuan Wu, Lingchen Sun, Yuhui Wu, Lei Zhang

ICCV 2025 Global-Aware Monocular Semantic Scene Completion with State Space Models Shijie Li, Zhongyao Cheng, Rong Li, Shuai Li, Juergen Gall, Xun Xu, Xulei Yang

ICML 2025 Improved Discretization Complexity Analysis of Consistency Models: Variance Exploding Forward Process and Decay Discretization Scheme Ruofeng Yang, Bo Jiang, Cheng Chen, Shuai Li

ICML 2025 Learning Imperfect Information Extensive-Form Games with Last-Iterate Convergence Under Bandit Feedback Canzhe Zhao, Yutian Cheng, Jing Dong, Baoxiang Wang, Shuai Li

NeurIPS 2025 Learning Preferences Without Interaction for Cooperative AI: A Hybrid Offline-Online Approach Haitong Ma, Haoran Yu, Haobo Fu, Shuai Li

AAAI 2025 Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions Canzhe Zhao, Xiangcheng Zhang, Baoxiang Wang, Shuai Li

CVPR 2025 MetricGrids: Arbitrary Nonlinear Approximation with Elementary Metric Grids Based Implicit Neural Representation Shu Wang, Yanbo Gao, Shuai Li, Chong Lv, Xun Cai, Chuankun Li, Hui Yuan, Jinglin Zhang

IJCAI 2025 Multi-Player Multi-Armed Bandits with Delayed Feedback Jingqi Fan, Zilong Wang, Shuai Li, Linghe Kong

CVPRW 2025 NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results Xin Li, Yeying Jin, Xin Jin, Zongwei Wu, Bingchen Li, Yufei Wang, Wenhan Yang, Yu Li, Zhibo Chen, Bihan Wen, Robby T. Tan, Radu Timofte, Qiyu Rong, Hongyuan Jing, Mengmeng Zhang, Jinglong Li, Xiangyu Lu, Yi Ren, Yuting Liu, Meng Zhang, Xiang Chen, Qiyuan Guan, Jiangxin Dong, Jinshan Pan, Conglin Gou, Qirui Yang, Fangpu Zhang, Yunlong Lin, Sixiang Chen, Guoxi Huang, Ruirui Lin, Yan Zhang, Jingyu Yang, Huanjing Yue, Jiyuan Chen, Qiaosi Yi, Hongjun Wang, Chenxi Xie, Shuai Li, Yuhui Wu, Kaiyi Ma, Jiakui Hu, Juncheng Li, Liwen Pan, Guangwei Gao, Wenjie Li, Zhenyu Jin, Heng Guo, Zhanyu Ma, Yubo Wang, Jinghua Wang, Wangzhi Xing, Anjusree Karnavar, Diqi Chen, Mohammad Aminul Islam, Hao Yang, Ruikun Zhang, Liyuan Pan, Qianhao Luo, Xin Cao, Han Zhou, Yan Min, Wei Dong, Jun Chen, Taoyi Wu, Weijia Dou, Yu Wang, Shengjie Zhao, Yongcheng Huang, Xingyu Han, Anyan Huang, Hongtao Wu, Hong Wang, Yefeng Zheng, Abhijeet Kumar, Aman Kumar, Marcos V. Conde, Paula Garrido, Daniel Feijoo, Juan C. Benito, Guanglu Dong, Xin Lin, Siyuan Liu, Tianheng Zheng, Jiayu Zhong, Shouyi Wang, Xiangtai Li, Lanqing Guo, Lu Qi, Chao Ren, Shuaibo Wang, Shilong Zhang, Wanyu Zhou, Yunze Wu, Qinzhong Tan, Jieyuan Pei, Zhuoxuan Li, Jiayu Wang, Haoyu Bian, Haoran Sun, Subhajit Paul, Ni Tang, Junhao Huang, Zihan Cheng, Hongyun Zhu, Yuehan Wu, Kaixin Deng, Huang Ouyang, Tianxin Xiao, Fan Yang, Zhizun Luo, Zeyu Xiao, Zhuoyuan Li, Pham Hoang Le Nguyen, Dinh Thien An, Luu Thanh Son, Kiet Van Nguyen, Ronghua Xu, Xianmin Tian, Weijian Zhou, Jiacheng Zhang, Yuqian Chen, Yihang Duan, Yujie Wu, Suresh Raikwar, Arsh Garg, Kritika Kritika, Jianhua Zheng, Xiaoshan Ma, Ruolin Zhao, Yongyu Yang, Yongsheng Liang, Guiming Huang, Qiang Li, Hongbin Zhang, Xiangyu Zheng, A. N. Rajagopalan

ICML 2025 Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation Xiao Huang, Xu Liu, Enze Zhang, Tong Yu, Shuai Li

ICLR 2025 Online-to-Offline RL for Agent Alignment Xu Liu, Haobo Fu, Stefano V Albrecht, Qiang Fu, Shuai Li

ICML 2025 Optimal Algorithm for Max-Min Fair Bandit Zilong Wang, Zhiyao Zhang, Shuai Li

ICML 2025 Rethinking the Temperature for Federated Heterogeneous Distillation Fan Qi, Daxu Shi, Chuokun Xu, Shuai Li, Changsheng Xu

ICML 2025 Scaling Laws for Floating–Point Quantization Training Xingwu Sun, Shuaipeng Li, Ruobing Xie, Weidong Han, Kan Wu, Zhen Yang, Yixing Li, An Wang, Shuai Li, Jinbao Xue, Yu Cheng, Yangyu Tao, Zhanhui Kang, Cheng-Zhong Xu, Di Wang, Jie Jiang

CVPR 2025 SyncVP: Joint Diffusion for Synchronous Multi-Modal Video Prediction Enrico Pallotta, Sina Mokhtarzadeh Azar, Shuai Li, Olga Zatsarynna, Juergen Gall

AISTATS 2025 The Polynomial Iteration Complexity for Variance Exploding Diffusion Models: Elucidating SDE and ODE Samplers Ruofeng Yang, Bo Jiang, Shuai Li

UAI 2025 Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation Canzhe Zhao, Shuze Chen, Weiming Liu, Haobo Fu, Qiang Fu, Shuai Li

CVPR 2024 Adaptive Hyper-Graph Aggregation for Modality-Agnostic Federated Learning Fan Qi, Shuai Li

CVPR 2024 Arbitrary Motion Style Transfer with Multi-Condition Motion Latent Diffusion Model Wenfeng Song, Xingliang Jin, Shuai Li, Chenglizhao Chen, Aimin Hao, Xia Hou, Ning Li, Hong Qin

NeurIPS 2024 Calibrating Reasoning in Language Models with Internal Consistency Zhihui Xie, Jizhou Guo, Tong Yu, Shuai Li

ICML 2024 Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C.S. Lui, Wei Chen

AAAI 2024 Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display Camera Chengxu Liu, Xuan Wang, Yuanting Fan, Shuai Li, Xueming Qian

NeurIPS 2024 Few-Shot Diffusion Models Escape the Curse of Dimensionality Ruofeng Yang, Bo Jiang, Cheng Chen, Ruinan Jin, Baoxiang Wang, Shuai Li

CVPR 2024 HOIAnimator: Generating Text-Prompt Human-Object Animations Using Novel Perceptive Diffusion Models Wenfeng Song, Xinyu Zhang, Shuai Li, Yang Gao, Aimin Hao, Xia Hou, Chenglizhao Chen, Ning Li, Hong Qin

NeurIPS 2024 Improved Analysis for Bandit Learning in Matching Markets Fang Kong, Zilong Wang, Shuai Li

AAAI 2024 Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility Fang Kong, Shuai Li

TMLR 2024 Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization Fang Kong, XiangCheng Zhang, Baoxiang Wang, Shuai Li

ICML 2024 In-Context Learning on Function Classes Unveiled for Transformers Zhijie Wang, Bo Jiang, Shuai Li

NeurIPS 2024 Learning Versatile Skills with Curriculum Masking Yao Tang, Zhihui Xie, Zichuan Lin, Deheng Ye, Shuai Li

NeurIPS 2024 Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models Ruofeng Yang, Zhijie Wang, Bo Jiang, Shuai Li

CVPR 2024 Motion-Adaptive Separable Collaborative Filters for Blind Motion Deblurring Chengxu Liu, Xuan Wang, Xiangyu Xu, Ruhao Tian, Shuai Li, Xueming Qian, Ming-Hsuan Yang

CVPRW 2024 NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge Jie Liang, Radu Timofte, Qiaosi Yi, Shuaizheng Liu, Lingchen Sun, Rongyuan Wu, Xindong Zhang, Hui Zeng, Lei Zhang, Yibin Huang, Shuai Liu, Yongqiang Li, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yuxiang Chen, Xiangyu Chen, Qiubo Chen, Fengyu Sun, Mengying Cui, Jiaxu Chen, Zhenyu Hu, Jingyun Liu, Wenzhuo Ma, Ce Wang, Hanyou Zheng, Wanjie Sun, Zhenzhong Chen, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiong Dun, Pengzhou Ji, Yujie Xing, Xuquan Wang, Zhanshan Wang, Xinbin Cheng, Jun Xiao, Chenhang He, Xiuyuan Wang, Zhi-Song Liu, Zimeng Miao, Zhicun Yin, Ming Liu, Wangmeng Zuo, Shuai Li

ICLR 2024 On Stationary Point Convergence of PPO-CLIP Ruinan Jin, Shuai Li, Baoxiang Wang

ECCV 2024 Open Vocabulary 3D Scene Understanding via Geometry Guided Self-Distillation Pengfei Wang, Yuxi Wang, Shuai Li, Zhaoxiang Zhang, Zhen Lei, Lei Zhang

CVPR 2024 SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution Rongyuan Wu, Tao Yang, Lingchen Sun, Zhengqiang Zhang, Shuai Li, Lei Zhang

NeurIPS 2024 The Closeness of In-Context Learning and Weight Shifting for SoftMax Regression Shuai Li, Zhao Song, Yu Xia, Tong Yu, Tianyi Zhou

CVPR 2024 UniVS: Unified and Universal Video Segmentation with Prompts as Queries Minghan Li, Shuai Li, Xindong Zhang, Lei Zhang

NeurIPS 2023 Adversarial Attacks on Online Learning to Rank with Click Feedback Jinhang Zuo, Zhiyao Zhang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, Adam Wierman

COLT 2023 Best-of-Three-Worlds Analysis for Linear Bandits with Follow-the-Regularized-Leader Algorithm Fang Kong, Canzhe Zhao, Shuai Li

IJCAI 2023 DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li

CVPR 2023 DynaMask: Dynamic Mask Selection for Instance Segmentation Ruihuang Li, Chenhang He, Shuai Li, Yabin Zhang, Lei Zhang

AAAI 2023 Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits Zhiyong Wang, Xutong Liu, Shuai Li, John C. S. Lui

ICCV 2023 FPR: False Positive Rectification for Weakly Supervised Semantic Segmentation Liyi Chen, Chenyang Lei, Ruihuang Li, Shuai Li, Zhaoxiang Zhang, Lei Zhang

ICCV 2023 FSI: Frequency and Spatial Interactive Learning for Image Restoration in Under-Display Cameras Chengxu Liu, Xuan Wang, Shuai Li, Yuzhi Wang, Xueming Qian

AAAI 2023 Few-Shot Composition Learning for Image Retrieval with Prompt Tuning Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao

ICML 2023 Future-Conditioned Unsupervised Pretraining for Decision Transformer Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Yang Wei, Shuai Li

CVPR 2023 Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display Camera Ruicheng Feng, Chongyi Li, Huaijin Chen, Shuai Li, Jinwei Gu, Chen Change Loy

NeurIPS 2023 InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao

NeurIPS 2023 K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing Shuai Li, Yingjie Zhang, Hongtu Zhu, Christina Wang, Hai Shu, Ziqi Chen, Zhuoran Sun, Yanfeng Yang

ICLR 2023 Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Shuai Li

NeurIPS 2023 Learning Adversarial Low-Rank Markov Decision Processes with Unknown Transition and Full-Information Feedback Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Xuezhou Zhang, Shuai Li

CVPR 2023 MDQE: Mining Discriminative Query Embeddings to Segment Occluded Instances on Challenging Videos Minghan Li, Shuai Li, Wangmeng Xiang, Lei Zhang

ICCVW 2023 MOFA: A Model Simplification Roadmap for Image Restoration on Mobile Devices Xiangyu Chen, Ruiwen Zhen, Shuai Li, Xiaotian Li, Guanghui Wang

CVPR 2023 MSF: Motion-Guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences Chenhang He, Ruihuang Li, Yabin Zhang, Shuai Li, Lei Zhang

AAAI 2023 Nearest-Neighbor Sampling Based Conditional Independence Testing Shuai Li, Ziqi Chen, Hongtu Zhu, Christina Dan Wang, Wang Wen

CVPR 2023 One-to-Few Label Assignment for End-to-End Dense Detection Shuai Li, Minghan Li, Ruihuang Li, Chenhang He, Lei Zhang

NeurIPS 2023 Online Clustering of Bandits with Misspecified User Models Zhiyong Wang, Jize Xie, Xutong Liu, Shuai Li, John C.S. Lui

NeurIPS 2023 Online Corrupted User Detection and Regret Minimization Zhiyong Wang, Jize Xie, Tong Yu, Shuai Li, John C.S. Lui

CVPR 2023 SIM: Semantic-Aware Instance Mask Generation for Box-Supervised Instance Segmentation Ruihuang Li, Chenhang He, Yabin Zhang, Shuai Li, Liyi Chen, Lei Zhang

ICCV 2023 Sequential Texts Driven Cohesive Motions Synthesis with Natural Transitions Shuai Li, Sisi Zhuang, Wenfeng Song, Xinyu Zhang, Hejia Chen, Aimin Hao

ICLR 2023 Stochastic No-Regret Learning for General Games with Variance Reduction Yichi Zhou, Fang Kong, Shuai Li

AAAI 2023 Understanding Representation Learnability of Nonlinear Self-Supervised Learning Ruofeng Yang, Xiangyuan Li, Bo Jiang, Shuai Li

AISTATS 2022 Learning to Plan Variable Length Sequences of Actions with a Cascading Bandit Click Model of User Feedback Anirban Santara, Gaurav Aggarwal, Shuai Li, Claudio Gentile

CVPR 2022 A Dual Weighting Label Assignment Scheme for Object Detection Shuai Li, Chenhang He, Ruihuang Li, Lei Zhang

CVPR 2022 Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation Ruihuang Li, Shuai Li, Chenhang He, Yabin Zhang, Xu Jia, Lei Zhang

AAAI 2022 DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation Yifan Wang, Yiping Song, Shuai Li, Chaoran Cheng, Wei Ju, Ming Zhang, Sheng Wang

UAI 2022 Federated Online Clustering of Bandits Xutong Liu, Haoru Zhao, Tong Yu, Shuai Li, John C.S. Lui

IJCAI 2022 KUNet: Imaging Knowledge-Inspired Single HDR Image Reconstruction Hu Wang, Mao Ye, Xiatian Zhu, Shuai Li, Ce Zhu, Xue Li

CVPR 2022 Learning of Global Objective for Network Flow in Multi-Object Tracking Shuai Li, Yu Kong, Hamid Rezatofighi

AAAI 2022 Simultaneously Learning Stochastic and Adversarial Bandits Under the Position-Based Model Cheng Chen, Canzhe Zhao, Shuai Li

ICML 2022 Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback Fang Kong, Yichi Zhou, Shuai Li

IJCAI 2022 Thompson Sampling for Bandit Learning in Matching Markets Fang Kong, Junming Yin, Shuai Li

CVPR 2022 Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds Chenhang He, Ruihuang Li, Shuai Li, Lei Zhang

AAAI 2021 Category Dictionary Guided Unsupervised Domain Adaptation for Object Detection Shuai Li, Jianqiang Huang, Xian-Sheng Hua, Lei Zhang

NeurIPS 2021 Knowledge-Inspired 3D Scene Graph Prediction in Point Cloud Shoulong Zhang, Shuai Li, Aimin Hao, Hong Qin

AAAI 2021 Point Cloud Semantic Scene Completion from RGB-D Images Shoulong Zhang, Shuai Li, Aimin Hao, Hong Qin

CVPR 2021 Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network Ruicheng Feng, Chongyi Li, Huaijin Chen, Shuai Li, Chen Change Loy, Jinwei Gu

IJCAI 2021 Self-Guided Community Detection on Networks with Missing Edges Dongxiao He, Shuai Li, Di Jin, Pengfei Jiao, Yuxiao Huang

CVPR 2021 Spatial Feature Calibration and Temporal Fusion for Effective One-Stage Video Instance Segmentation Minghan Li, Shuai Li, Lida Li, Lei Zhang

NeurIPS 2021 The Hardness Analysis of Thompson Sampling for Combinatorial Semi-Bandits with Greedy Oracle Fang Kong, Yueran Yang, Wei Chen, Shuai Li

NeurIPS 2021 Understanding Bandits with Graph Feedback Houshuang Chen, Zengfeng Huang, Shuai Li, Chihao Zhang

WACV 2020 Cross-View Contextual Relation Transferred Network for Unsupervised Vehicle Tracking in Drone Videos Wenfeng Song, Shuai Li, Tao Chang, Aimin Hao, Qinping Zhao, Hong Qin

ECCV 2020 LST-Net: Learning a Convolutional Neural Network with a Learnable Sparse Transform Lida Li, Kun Wang, Shuai Li, Xiangchu Feng, Lei Zhang

NeurIPS 2020 Online Influence Maximization Under Linear Threshold Model Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen

AAAI 2020 Stochastic Online Learning with Probabilistic Graph Feedback Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung

ICLR 2020 The Gambler's Problem and Beyond Baoxiang Wang, Shuai Li, Jiajin Li, Siu On Chan

ICML 2020 Towards Understanding the Regularization of Adversarial Robustness on Neural Networks Yuxin Wen, Shuai Li, Kui Jia

ECCVW 2020 UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results Yuqian Zhou, Michael Kwan, Kyle Tolentino, Neil Emerton, Sehoon Lim, Timothy A. Large, Lijiang Fu, Zhihong Pan, Baopu Li, Qirui Yang, Yihao Liu, Jigang Tang, Tao Ku, Shibin Ma, Bingnan Hu, Jiarong Wang, Densen Puthussery, P. S Hrishikesh, Melvin Kuriakose, C. V. Jiji, Varun Sundar, Sumanth Hegde, Divya Kothandaraman, Kaushik Mitra, Akashdeep Jassal, Nisarg A. Shah, Sabari Nathan, Nagat Abdalla Esiad Rahel, Dafan Chen, Shichao Nie, Shuting Yin, Chengconghui Ma, Haoran Wang, Tongtong Zhao, Shanshan Zhao, Joshua Rego, Huaijin G. Chen, Shuai Li, Zhenhua Hu, Kin Wai Lau, Lai-Man Po, Dahai Yu, Yasar Abbas Ur Rehman, Yiqun Li, Lianping Xing

ECCVW 2020 VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Apostolos Axenopoulos, Arne Schumann, Athanasios Psaltis, Ayush Jain, Bin Dong, Changlin Li, Chen Chen, Chengzhen Duan, Chongyang Zhang, Daniel Stadler, Dheeraj Reddy Pailla, Dong Yin, Faizan Khan, Fanman Meng, Guangyu Gao, Guosheng Zhang, Hansheng Chen, Hao Zhou, Haonian Xie, Heqian Qiu, Hongliang Li, Ioannis Athanasiadis, Jincai Cui, Jingkai Zhou, Jong Hwan Ko, Joo Chan Lee, Jun Yu, Jungyeop Yoo, Lars Wilko Sommer, Lu Xiong, Michael Schleiss, Ming-Hsuan Yang, Mingyu Liu, Minjian Zhang, Murari Mandal, Petros Daras, Pratik Narang, Qiong Liu, Qiu Shi, Qizhang Lin, Rohit Ramaprasad, Sai Wang, Sarvesh Mehta, Shuai Li, Shuqin Huang, Sungtae Moon, Taijin Zhao, Ting Sun, Wei Guo, Wei Tian, Weida Qin, Weiping Yu, Wenxiang Lin, Xi Zhao, Xiaogang Jia, Xin He, Xingjie Zhao, Xuanxin Liu, Yan Ding, Yan Luo, Yang Xiao, Yi Wang, Yingjie Liu, Yongwoo Kim, Yu Sun, Yuehan Yao, Yuyao Huang, Zehui Gong, Zhenyu Xu, Zhipeng Luo, Zhiguo Cao, Zhiwei Wei, Zhongjie Fan, Zichen Song, Ziming Liu

IJCAI 2019 Improved Algorithm on Online Clustering of Bandits Shuai Li, Wei Chen, Shuai Li, Kwong-Sak Leung

ICML 2019 Online Learning to Rank with Features Shuai Li, Tor Lattimore, Csaba Szepesvari

AAAI 2018 Online Clustering of Contextual Cascading Bandits Shuai Li, Shengyu Zhang

NeurIPS 2018 TopRank: A Practical Algorithm for Online Stochastic Ranking Tor Lattimore, Branislav Kveton, Shuai Li, Csaba Szepesvari

ICML 2017 On Context-Dependent Clustering of Bandits Claudio Gentile, Shuai Li, Purushottam Kar, Alexandros Karatzoglou, Giovanni Zappella, Evans Etrue

ICML 2016 Contextual Combinatorial Cascading Bandits Shuai Li, Baoxiang Wang, Shengyu Zhang, Wei Chen

ICML 2016 Distributed Clustering of Linear Bandits in Peer to Peer Networks Nathan Korda, Balazs Szorenyi, Shuai Li

ICML 2014 Online Clustering of Bandits Claudio Gentile, Shuai Li, Giovanni Zappella

ECCV 2012 A Novel Material-Aware Feature Descriptor for Volumetric Image Registration in Diffusion Tensor Space Shuai Li, Qinping Zhao, Shengfa Wang, Tingbo Hou, Aimin Hao, Hong Qin