Zhao, Peng

70 publications

IJCAI 2025 DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning Yubin Xiao, Yuesong Wu, Rui Cao, Di Wang, Zhiguang Cao, Xuan Wu, Peng Zhao, Yuanshu Li, You Zhou, Yuan Jiang

JMLR 2025 Efficient Methods for Non-Stationary Online Learning Peng Zhao, Yan-Feng Xie, Lijun Zhang, Zhi-Hua Zhou

NeurIPS 2025 Generalized Linear Bandits: Almost Optimal Regret with One-Pass Update Yu-Jie Zhang, Sheng-An Xu, Peng Zhao, Masashi Sugiyama

NeurIPS 2025 Gradient-Variation Online Adaptivity for Accelerated Optimization with Hölder Smoothness Yuheng Zhao, Yu-Hu Yan, Kfir Yehuda Levy, Peng Zhao

ICML 2025 Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update Jing Wang, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou

NeurIPS 2025 Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling Jiaqi Wang, Zhiguang Cao, Peng Zhao, Rui Cao, Yubin Xiao, Yuan Jiang, You Zhou

ICML 2025 Non-Stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama

NeurIPS 2025 Optimistic Online-to-Batch Conversions for Accelerated Convergence and Universality Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

NeurIPS 2025 Parameter-Free Algorithms for the Stochastically Extended Adversarial Model Shuche Wang, Adarsh Barik, Peng Zhao, Vincent Y. F. Tan

NeurIPS 2025 Provably Efficient Online RLHF with One-Pass Reward Modeling Long-Fei Li, Yu-Yang Qian, Peng Zhao, Zhi-Hua Zhou

ICML 2025 TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree Yu-Yang Qian, Yuan-Ze Xu, Zhen-Yu Zhang, Peng Zhao, Zhi-Hua Zhou

NeurIPS 2024 A Simple and Optimal Approach for Universal Online Learning with Gradient Variations Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

JMLR 2024 Adaptivity and Non-Stationarity: Problem-Dependent Dynamic Regret for Online Convex Optimization Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou

AAAI 2024 Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation Long-Fei Li, Peng Zhao, Zhi-Hua Zhou

ICML 2024 Efficient Non-Stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation Yu-Yang Qian, Peng Zhao, Yu-Jie Zhang, Masashi Sugiyama, Zhi-Hua Zhou

AAAI 2024 Generative Model-Based Feature Knowledge Distillation for Action Recognition Guiqin Wang, Peng Zhao, Yanjiang Shi, Cong Zhao, Shusen Yang

NeurIPS 2024 Gradient-Variation Online Learning Under Generalized Smoothness Yan-Feng Xie, Peng Zhao, Zhi-Hua Zhou

ICML 2024 Handling Heterogeneous Curvatures in Bandit LQR Control Yu-Hu Yan, Jing Wang, Peng Zhao

AISTATS 2024 Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition Long-Fei Li, Peng Zhao, Zhi-Hua Zhou

NeurIPS 2024 Language Without Borders: A Dataset and Benchmark for Code-Switching Lip Reading Xueyi Zhang, Chengwei Zhang, Mingrui Lao, Peng Zhao, Jun Tang, Yanming Guo, Siqi Cai, Xianghu Yue, Haizhou Li

ICML 2024 Learning with Adaptive Resource Allocation Jing Wang, Miao Yu, Peng Zhao, Zhi-Hua Zhou

IJCAI 2024 Multi-Attention Based Visual-Semantic Interaction for Few-Shot Learning Peng Zhao, Yin Wang, Wei Wang, Jie Mu, Huiting Liu, Cong Wang, Xiaochun Cao

NeurIPS 2024 Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs Long-Fei Li, Peng Zhao, Zhi-Hua Zhou

JMLR 2024 Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization Sijia Chen, Yu-Jie Zhang, Wei-Wei Tu, Peng Zhao, Lijun Zhang

NeurIPS 2024 Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation Long-Fei Li, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou

JMLR 2024 Structured Optimal Variational Inference for Dynamic Latent Space Models Peng Zhao, Anirban Bhattacharya, Debdeep Pati, Bani K. Mallick

NeurIPS 2024 Universal Online Convex Optimization with $1$ Projection per Round Wenhao Yang, Yibo Wang, Peng Zhao, Lijun Zhang

NeurIPS 2023 Adapting to Continuous Covariate Shift via Online Density Ratio Estimation Yu-Jie Zhang, Zhen-Yu Zhang, Peng Zhao, Masashi Sugiyama

AISTATS 2023 Beyond Performative Prediction: Open-Environment Learning with Presence of Corruptions Jia-Wei Shan, Peng Zhao, Zhi-Hua Zhou

NeurIPS 2023 Dynamic Regret of Adversarial Linear Mixture MDPs Long-Fei Li, Peng Zhao, Zhi-Hua Zhou

ICML 2023 Fast Rates in Time-Varying Strongly Monotone Games Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

JMLR 2023 Non-Stationary Online Learning with Memory and Non-Stochastic Control Peng Zhao, Yu-Hu Yan, Yu-Xiang Wang, Zhi-Hua Zhou

JMLR 2023 Online Non-Stochastic Control with Partial Feedback Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

ICML 2023 Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization Sijia Chen, Wei-Wei Tu, Peng Zhao, Lijun Zhang

AISTATS 2023 Revisiting Weighted Strategy for Non-Stationary Parametric Bandits Jing Wang, Peng Zhao, Zhi-Hua Zhou

NeurIPS 2023 Stochastic Approximation Approaches to Group Distributionally Robust Optimization Lijun Zhang, Peng Zhao, Zhen-Hua Zhuang, Tianbao Yang, Zhi-Hua Zhou

NeurIPS 2023 Universal Online Learning with Gradient Variations: A Multi-Layer Online Ensemble Approach Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

ICCV 2023 Weakly-Supervised Action Localization by Hierarchically-Structured Latent Attention Modeling Guiqin Wang, Peng Zhao, Cong Zhao, Shusen Yang, Jie Cheng, Luziwei Leng, Jianxing Liao, Qinghai Guo

AISTATS 2022 Non-Stationary Online Learning with Memory and Non-Stochastic Control Peng Zhao, Yu-Xiang Wang, Zhi-Hua Zhou

AISTATS 2022 Optimal Rates of (Locally) Differentially Private Heavy-Tailed Multi-Armed Bandits Youming Tao, Yulian Wu, Peng Zhao, Di Wang

NeurIPS 2022 Adapting to Online Label Shift with Provable Guarantees Yong Bai, Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama, Zhi-Hua Zhou

COLT 2022 Adaptive Bandit Convex Optimization with Heterogeneous Curvature Haipeng Luo, Mengxiao Zhang, Peng Zhao

IJCAI 2022 Contrastive Multi-View Hyperbolic Hierarchical Clustering Fangfei Lin, Bing Bai, Kun Bai, Yazhou Ren, Peng Zhao, Zenglin Xu

COLT 2022 Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits Haipeng Luo, Mengxiao Zhang, Peng Zhao, Zhi-Hua Zhou

ICML 2022 Dynamic Regret of Online Markov Decision Processes Peng Zhao, Long-Fei Li, Zhi-Hua Zhou

NeurIPS 2022 Efficient Methods for Non-Stationary Online Learning Peng Zhao, Yan-Feng Xie, Lijun Zhang, Zhi-Hua Zhou

ICML 2022 No-Regret Learning in Time-Varying Zero-Sum Games Mengxiao Zhang, Peng Zhao, Haipeng Luo, Zhi-Hua Zhou

JMLR 2021 Bandit Convex Optimization in Non-Stationary Environments Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou

AAAI 2021 Exploratory Machine Learning with Unknown Unknowns Peng Zhao, Yu-Jie Zhang, Zhi-Hua Zhou

L4DC 2021 Improved Analysis for Dynamic Regret of Strongly Convex and Smooth Functions Peng Zhao, Lijun Zhang

AAAI 2021 Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling Hongying Liu, Peng Zhao, Zhubo Ruan, Fanhua Shang, Yuanyuan Liu

AAAI 2021 Storage Fit Learning with Feature Evolvable Streams Bo-Jian Hou, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

AAAI 2021 Towards Enabling Learnware to Handle Unseen Jobs Yu-Jie Zhang, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

AISTATS 2020 A Simple Approach for Non-Stationary Linear Bandits Peng Zhao, Lijun Zhang, Yuan Jiang, Zhi-Hua Zhou

UAI 2020 A Simple Online Algorithm for Competing with Dynamic Comparators Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou

NeurIPS 2020 An Unbiased Risk Estimator for Learning with Augmented Classes Yu-Jie Zhang, Peng Zhao, Lanjihong Ma, Zhi-Hua Zhou

AISTATS 2020 Bandit Convex Optimization in Non-Stationary Environments Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou

IJCAI 2020 CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning Yuanrui Dong, Peng Zhao, Hanqiao Yu, Cong Zhao, Shusen Yang

NeurIPS 2020 Dynamic Regret of Convex and Smooth Functions Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou

MLJ 2020 Handling Concept Drift via Model Reuse Peng Zhao, Le-Wen Cai, Zhi-Hua Zhou

ICML 2020 Learning with Feature and Distribution Evolvable Streams Zhen-Yu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou

AAAI 2020 Optimal Margin Distribution Learning in Dynamic Environments Teng Zhang, Peng Zhao, Hai Jin

AAAI 2018 Dual Set Multi-Label Learning Chong Liu, Peng Zhao, Sheng-Jun Huang, Yuan Jiang, Zhi-Hua Zhou

AAAI 2018 Label Distribution Learning by Optimal Transport Peng Zhao, Zhi-Hua Zhou

IJCAI 2017 Robust SoftMax Regression for Multi-Class Classification with Self-Paced Learning Yazhou Ren, Peng Zhao, Yongpan Sheng, Dezhong Yao, Zenglin Xu

CVPR 2012 Per-Pixel Translational Symmetry Detection, Optimization, and Segmentation Peng Zhao, Lei Yang, Honghui Zhang, Long Quan

CVPR 2011 Translation Symmetry Detection in a Fronto-Parallel View Peng Zhao, Long Quan

CVPR 2010 Rectilinear Parsing of Architecture in Urban Environment Peng Zhao, Tian Fang, Jianxiong Xiao, Honghui Zhang, Qinping Zhao, Long Quan

JMLR 2007 Stagewise Lasso Peng Zhao, Bin Yu

JMLR 2006 On Model Selection Consistency of Lasso Peng Zhao, Bin Yu