Li, Jian

117 publications

MLJ 2026 Enhancing Low-Degree Graph Neural Networks via Joint Training and Improved Message Passing Zedong Sun, Jian Li, Guanjun Liu

AAAI 2025 Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs Xiaqiang Tang, Jian Li, Nan Du, Sihong Xie

AAAI 2025 Block-Based Multi-Scale Image Rescaling Jian Li, Siwang Zhou

NeurIPS 2025 Constrained Feedback Learning for Non-Stationary Multi-Armed Bandits Shaoang Li, Jian Li

ICLR 2025 DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback Guojun Xiong, Ujwal Dinesha, Debajoy Mukherjee, Jian Li, Srinivas Shakkottai

AAAI 2025 Decentralized Federated Learning with Model Caching on Mobile Agents Xiaoyu Wang, Guojun Xiong, Houwei Cao, Jian Li, Yong Liu

AAAI 2025 FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction Yitong Duan, Weiran Wang, Jian Li

ICLR 2025 Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks Binghui Li, Zhixuan Pan, Kaifeng Lyu, Jian Li

CVPR 2025 From Zero to Detail: Deconstructing Ultra-High-Definition Image Restoration from Progressive Spectral Perspective Chen Zhao, Zhizhou Chen, Yunzhe Xu, Enxuan Gu, Jian Li, Zili Yi, Qian Wang, Jian Yang, Ying Tai

ICLR 2025 MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection Xi Jiang, Jian Li, Hanqiu Deng, Yong Liu, Bin-Bin Gao, Yifeng Zhou, Jialin Li, Chengjie Wang, Feng Zheng

AAAI 2025 Multi-Task Visual Grounding with Coarse-to-Fine Consistency Constraints Ming Dai, Jian Li, Jiedong Zhuang, Xian Zhang, Wankou Yang

ICLR 2025 On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations Guojun Xiong, Shufan Wang, Daniel Jiang, Jian Li

ICML 2025 Provably Efficient Exploration in Inverse Constrained Reinforcement Learning Bo Yue, Jian Li, Guiliang Liu

ICLR 2025 Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior Tongda Xu, Xiyan Cai, Xinjie Zhang, Xingtong Ge, Dailan He, Ming Sun, Jingjing Liu, Ya-Qin Zhang, Jian Li, Yan Wang

NeurIPS 2025 The Lighthouse of Language: Enhancing LLM Agents via Critique-Guided Improvement Ruihan Yang, Fanghua Ye, Jian Li, Siyu Yuan, Yikai Zhang, Zhaopeng Tu, Xiaolong Li, Deqing Yang

CVPR 2025 Towards Universal Dataset Distillation via Task-Driven Diffusion Ding Qi, Jian Li, Junyao Gao, Shuguang Dou, Ying Tai, Jianlong Hu, Bo Zhao, Yabiao Wang, Chengjie Wang, Cairong Zhao

ICLR 2025 Understanding Constraint Inference in Safety-Critical Inverse Reinforcement Learning Bo Yue, Shufan Wang, Ashish Gaurav, Jian Li, Pascal Poupart, Guiliang Liu

NeurIPS 2025 Understanding LLM Behaviors via Compression: Data Generation, Knowledge Acquisition and Scaling Laws Zhixuan Pan, Shaowen Wang, Liao Pengfei, Jian Li

CVPR 2025 Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly Yexin Liu, Zhengyang Liang, Yueze Wang, Xianfeng Wu, Feilong Tang, Muyang He, Jian Li, Zheng Liu, Harry Yang, Sernam Lim, Bo Zhao

NeurIPS 2025 VITA-Audio: Fast Interleaved Audio-Text Token Generation for Efficient Large Speech-Language Model Zuwei Long, Yunhang Shen, Chaoyou Fu, Heting Gao, Lijiang Li, Peixian Chen, Mengdan Zhang, Hang Shao, Jian Li, Jinlong Peng, Haoyu Cao, Ke Li, Rongrong Ji, Xing Sun

ICLR 2024 Backdoor Federated Learning by Poisoning Backdoor-Critical Layers Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan

CVPR 2024 Bilateral Propagation Network for Depth Completion Jie Tang, Fei-Peng Tian, Boshi An, Jian Li, Ping Tan

AAAI 2024 Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing Hanfei Yu, Jian Li, Yang Hua, Xu Yuan, Hao Wang

AAAI 2024 Convolutional Spectral Kernel Learning with Generalization Guarantees (Abstract Reprint) Jian Li, Yong Liu, Weiping Wang

AAAI 2024 DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations Guojun Xiong, Gang Yan, Shiqiang Wang, Jian Li

AAAI 2024 FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning Jian Li, Yong Liu, Weiping Wang

NeurIPS 2024 Fetch and Forge: Efficient Dataset Condensation for Object Detection Ding Qi, Jian Li, Jinlong Peng, Bo Zhao, Shuguang Dou, Jialin Li, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cairong Zhao

AAAI 2024 High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm Jian Li, Yong Liu, Weiping Wang

IJCAI 2024 IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making Hui Niu, Siyuan Li, Jiahao Zheng, Zhouchi Lin, Bo An, Jian Li, Jian Guo

NeurIPS 2024 LoRA-GA: Low-Rank Adaptation with Gradient Approximation Shaowen Wang, Linxi Yu, Jian Li

IJCAI 2024 MacMic: Executing Iceberg Orders via Hierarchical Reinforcement Learning Hui Niu, Siyuan Li, Jian Li

AAAI 2024 Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints Shufan Wang, Guojun Xiong, Jian Li

ICML 2024 Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback Guojun Xiong, Jian Li

ICLR 2024 Rethinking the Uniformity Metric in Self-Supervised Learning Xianghong Fang, Jian Li, Qiang Sun, Benyou Wang

ECCV 2024 Towards Reliable Advertising Image Generation Using Human Feedback Zhenbang Du, Wei Feng, Haohan Wang, Yaoyu Li, Jingsen Wang, Jian Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junsheng Jin, Junjie Shen, Zhangang Lin, Jingping Shao

IJCAI 2024 Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling Liang Zeng, Lei Wang, Hui Niu, Ruchen Zhang, Ling Wang, Jian Li

AAAI 2023 AEC-GAN: Adversarial Error Correction GANs for Auto-Regressive Long Time-Series Generation Lei Wang, Liang Zeng, Jian Li

ICML 2023 Applied Online Algorithms with Heterogeneous Predictors Jessica Maghakian, Russell Lee, Mohammad Hajiesmaili, Jian Li, Ramesh Sitaraman, Zhenhua Liu

AAAI 2023 DeFL: Defending Against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness Gang Yan, Hao Wang, Xu Yuan, Jian Li

AAAI 2023 Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits Guojun Xiong, Jian Li

COLT 2023 Efficient Algorithms for Sparse Moment Problems Without Separation Zhiyuan Fan, Jian Li

CVPR 2023 FCC: Feature Clusters Compression for Long-Tailed Visual Recognition Jian Li, Ziyao Meng, Daqian Shi, Rui Song, Xiaolei Diao, Jingwen Wang, Hao Xu

NeurIPS 2023 Finite-Time Analysis of Whittle Index Based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation Guojun Xiong, Jian Li

NeurIPS 2023 GLIME: General, Stable and Local LIME Explanation Zeren Tan, Yang Tian, Jian Li

AAAI 2023 ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification Liang Zeng, Lanqing Li, Ziqi Gao, Peilin Zhao, Jian Li

CVPR 2023 Learning from Noisy Labels with Decoupled Meta Label Purifier Yuanpeng Tu, Boshen Zhang, Yuxi Li, Liang Liu, Jian Li, Yabiao Wang, Chengjie Wang, Cai Rong Zhao

CVPR 2023 Learning with Noisy Labels via Self-Supervised Adversarial Noisy Masking Yuanpeng Tu, Boshen Zhang, Yuxi Li, Liang Liu, Jian Li, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cai Rong Zhao

CVPRW 2023 Multi-Object Tracking by Self-Supervised Learning Appearance Model Kaer Huang, Kanokphan Lertniphonphan, Feng Chen, Jian Li, Zhepeng Wang

ICLR 2023 Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization Jing Zhou, Zongyu Lin, Yanan Zheng, Jian Li, Zhilin Yang

ICML 2023 Online Restless Bandits with Unobserved States Bowen Jiang, Bo Jiang, Jian Li, Tao Lin, Xinbing Wang, Chenghu Zhou

ICML 2023 Optimal Convergence Rates for Agnostic Nyström Kernel Learning Jian Li, Yong Liu, Weiping Wang

JMLR 2023 Optimal Convergence Rates for Distributed Nystroem Approximation Jian Li, Yong Liu, Weiping Wang

ICCV 2023 Rethinking Mobile Block for Efficient Attention-Based Models Jiangning Zhang, Xiangtai Li, Jian Li, Liang Liu, Zhucun Xue, Boshen Zhang, Zhengkai Jiang, Tianxin Huang, Yabiao Wang, Chengjie Wang

AAAI 2023 Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-Linear Machine Learning Models Qiong Wu, Jian Li, Zhenming Liu, Yanhua Li, Mihai Cucuringu

IJCAI 2023 Towards Generalizable Reinforcement Learning for Trade Execution Chuheng Zhang, Yitong Duan, Xiaoyu Chen, Jianyu Chen, Jian Li, Li Zhao

IJCAI 2023 Towards Sharp Analysis for Distributed Learning with Random Features Jian Li, Yong Liu

IJCAI 2023 Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance Zheyu Zhang, Tianping Zhang, Jian Li

NeurIPS 2022 Analyzing Sharpness Along GD Trajectory: Progressive Sharpening and Edge of Stability Zixuan Wang, Zhouzi Li, Jian Li

ICML 2022 Analyzing and Mitigating Interference in Neural Architecture Search Jin Xu, Xu Tan, Kaitao Song, Renqian Luo, Yichong Leng, Tao Qin, Tie-Yan Liu, Jian Li

CVPR 2022 Convolution of Convolution: Let Kernels Spatially Collaborate Rongzhen Zhao, Jian Li, Zhenzhi Wu

AAAI 2022 FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock Returns Yitong Duan, Lei Wang, Qizhong Zhang, Jian Li

NeurIPS 2022 Generalization Bounds for Gradient Methods via Discrete and Continuous Prior Xuanyuan Luo, Bei Luo, Jian Li

NeurIPS 2022 Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits via Index Awareness Guojun Xiong, Shufan Wang, Jian Li

NeurIPS 2022 Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation Jin Xu, Xiaojiang Liu, Jianhao Yan, Deng Cai, Huayang Li, Jian Li

ECCV 2022 Meta-GF: Training Dynamic-Depth Neural Networks Harmoniously Yi Sun, Jian Li, Xin Xu

ECML-PKDD 2022 Non-IID Distributed Learning with Optimal Mixture Weights Jian Li, Bojian Wei, Yong Liu, Weiping Wang

AAAI 2022 Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits Guojun Xiong, Jian Li, Rahul Singh

IJCAI 2022 Ridgeless Regression with Random Features Jian Li, Yong Liu, Yingying Zhang

AAAI 2022 SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-Resolution Jiangning Zhang, Chao Xu, Jian Li, Yue Han, Yabiao Wang, Ying Tai, Yong Liu

AAAI 2022 Seizing Critical Learning Periods in Federated Learning Gang Yan, Hao Wang, Jian Li

JMLR 2022 Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization Zhize Li, Jian Li

NeurIPS 2021 Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model Jiangning Zhang, Chao Xu, Jian Li, Wenzhou Chen, Yabiao Wang, Ying Tai, Shuo Chen, Chengjie Wang, Feiyue Huang, Yong Liu

AAAI 2021 Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li

AAAI 2021 Improving the Morphology and Control Policy of Self-Reconfiguring Modular Robots in Dynamic Environment (Student Abstract) Dong Xue, Qiang Lu, Jian Li

UAI 2021 Simple Combinatorial Algorithms for Combinatorial Bandits: Corruptions and Approximations Haike Xu, Jian Li

AISTATS 2020 A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization Zhize Li, Jian Li

AAAI 2020 Automated Spectral Kernel Learning Jian Li, Yong Liu, Weiping Wang

AAAI 2020 Automatic Verification of Liveness Properties in the Situation Calculus Jian Li, Yongmei Liu

AAAI 2020 Fast Learning of Temporal Action Proposal via Dense Boundary Generator Chuming Lin, Jian Li, Yabiao Wang, Ying Tai, Donghao Luo, Zhipeng Cui, Chengjie Wang, Jilin Li, Feiyue Huang, Rongrong Ji

ICLR 2020 Gradient Descent Maximizes the Margin of Homogeneous Neural Networks Kaifeng Lyu, Jian Li

NeurIPS 2020 Improved Algorithms for Convex-Concave Minimax Optimization Yuanhao Wang, Jian Li

NeurIPS 2020 Kalman Filtering Attention for User Behavior Modeling in CTR Prediction Hu Liu, Jing Lu, Xiwei Zhao, Sulong Xu, Hao Peng, Yutong Liu, Zehua Zhang, Jian Li, Junsheng Jin, Yongjun Bao, Weipeng Yan

AAAI 2020 Neuron Interaction Based Representation Composition for Neural Machine Translation Jian Li, Xing Wang, Baosong Yang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu

ICLR 2020 On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning Jian Li, Xuanyuan Luo, Mingda Qiao

NeurIPS 2020 Online Algorithms for Multi-Shop Ski Rental with Machine Learned Advice Shufan Wang, Jian Li, Shiqiang Wang

AAAI 2020 Policy Search by Target Distribution Learning for Continuous Control Chuheng Zhang, Yuanqi Li, Jian Li

ICCVW 2019 A System Framework for Localization and Mapping Using High Resolution Cameras of Mobile Devices Lifeng Liu, Jian Li

IJCAI 2019 AddGraph: Anomaly Detection in Dynamic Graph Using Attention-Based Temporal GCN Li Zheng, Zhenpeng Li, Jian Li, Zhao Li, Jun Gao

IJCAI 2019 Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis Jian Li, Yong Liu, Rong Yin, Weiping Wang

AAAI 2019 Context-Aware Self-Attention Networks Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu

IJCAI 2019 Gradient Boosting with Piece-Wise Linear Regression Trees Yu Shi, Jian Li, Zhize Li

IJCAI 2019 Multi-Class Learning Using Unlabeled Samples: Theory and Algorithm Jian Li, Yong Liu, Rong Yin, Weiping Wang

MLJ 2019 Stochastic Gradient Hamiltonian Monte Carlo with Variance Reduction for Bayesian Inference Zhize Li, Tianyi Zhang, Shuyu Cheng, Jun Zhu, Jian Li

NeurIPS 2018 A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization Zhize Li, Jian Li

NeurIPS 2018 BRITS: Bidirectional Recurrent Imputation for Time Series Wei Cao, Dong Wang, Jian Li, Hao Zhou, Lei Li, Yitan Li

IJCAI 2018 Code Completion with Neural Attention and Pointer Networks Jian Li, Yue Wang, Michael R. Lyu, Irwin King

NeurIPS 2018 Multi-Class Learning: From Theory to Algorithm Jian Li, Yong Liu, Rong Yin, Hua Zhang, Lizhong Ding, Weiping Wang

AAAI 2018 When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks Dong Wang, Junbo Zhang, Wei Cao, Jian Li, Yu Zheng

IJCAI 2017 Efficient Kernel Selection via Spectral Analysis Jian Li, Yong Liu, Hailun Lin, Yinliang Yue, Weiping Wang

ICML 2017 Learning Gradient Descent: Better Generalization and Longer Horizons Kaifeng Lv, Shunhua Jiang, Jian Li

AISTATS 2017 Nearly Instance Optimal Sample Complexity Bounds for Top-K Arm Selection Lijie Chen, Jian Li, Mingda Qiao

COLT 2017 Nearly Optimal Sampling Algorithms for Combinatorial Pure Exploration Lijie Chen, Anupam Gupta, Jian Li, Mingda Qiao, Ruosong Wang

IJCAI 2017 Single-Pass PCA of Large High-Dimensional Data Wenjian Yu, Yu Gu, Jian Li, Shenghua Liu, Yaohang Li

COLT 2017 Towards Instance Optimal Bounds for Best Arm Identification Lijie Chen, Jian Li, Mingda Qiao

NeurIPS 2016 Combinatorial Multi-Armed Bandit with General Reward Functions Wei Chen, Wei Hu, Fu Li, Jian Li, Yu Liu, Pinyan Lu

ICML 2016 K-Means Clustering with Distributed Dimensions Hu Ding, Yu Liu, Lingxiao Huang, Jian Li

COLT 2016 Open Problem: Best Arm Identification: Almost Instance-Wise Optimality and the Gap Entropy Conjecture Lijie Chen, Jian Li

COLT 2016 Pure Exploration of Multi-Armed Bandit Under Matroid Constraints Lijie Chen, Anupam Gupta, Jian Li

NeurIPS 2015 On Top-K Selection in Multi-Armed Bandits and Hidden Bipartite Graphs Wei Cao, Jian Li, Yufei Tao, Zhize Li

NeurIPS 2015 Stochastic Online Greedy Learning with Semi-Bandit Feedbacks Tian Lin, Jian Li, Wei Chen

ICML 2014 Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing Yuan Zhou, Xi Chen, Jian Li

ICCVW 2009 On-the-Fly Global Activity Prediction and Anomaly Detection Jian Li, Shaogang Gong, Tao Xiang

ECCV 2008 Scene Segmentation for Behaviour Correlation Jian Li, Shaogang Gong, Tao Xiang

NeurIPS 2007 Parallelizing Support Vector Machines on Distributed Computers Kaihua Zhu, Hao Wang, Hongjie Bai, Jian Li, Zhihuan Qiu, Hang Cui, Edward Y. Chang

ICML 2006 Iterative RELIEF for Feature Weighting Yijun Sun, Jian Li

ICCV 2005 Appearance Modeling Under Geometric Context Jian Li, Shaohua Kevin Zhou, Rama Chellappa

ICML 2005 Unifying the Error-Correcting and Output-Code AdaBoost Within the Margin Framework Yijun Sun, Sinisa Todorovic, Jian Li, Dapeng Wu