Multi-View Matrix Completion for Clustering with Side Information. - Peng Zhao 006; Yuan Jiang 001; Zhi-Hua Zhou (PAKDD (2), 2017)

Distribution-Free One-Pass Learning. - Peng Zhao 006; Zhi-Hua Zhou (CoRR, 2017)

Dual Set Multi-Label Learning. - Chong Liu 007; Peng Zhao 006; Sheng-Jun Huang; Yuan Jiang 001; Zhi-Hua Zhou (AAAI, 2018)

Label Distribution Learning by Optimal Transport. - Peng Zhao 006; Zhi-Hua Zhou (AAAI, 2018)

Improving Deep Forest by Confidence Screening. - Ming Pang; Kai-Ming Ting; Peng Zhao 006; Zhi-Hua Zhou (ICDM, 2018)

Nearest Neighbor Ensembles: An Effective Method for Difficult Problems in Streaming Classification with Emerging New Classes. - Xin-Qiang Cai; Peng Zhao 006; Kai-Ming Ting; Xin Mu; Yuan Jiang 001 (ICDM, 2019)

Learning from Incomplete and Inaccurate Supervision. - Zhenyu Zhang; Peng Zhao 006; Yuan Jiang 001; Zhi-Hua Zhou (KDD, 2019)

An Unbiased Risk Estimator for Learning with Augmented Classes. - Yu-Jie Zhang; Peng Zhao 006; Zhi-Hua Zhou (CoRR, 2019)

A Simple Approach for Non-stationary Linear Bandits. - Peng Zhao 006; Lijun Zhang 005; Yuan Jiang 001; Zhi-Hua Zhou (AISTATS, 2020)

Learning with Feature and Distribution Evolvable Streams. - Zhenyu Zhang; Peng Zhao 006; Yuan Jiang 001; Zhi-Hua Zhou (ICML, 2020)

Dynamic Regret of Convex and Smooth Functions. - Peng Zhao 006; Yu-Jie Zhang; Lijun Zhang 005; Zhi-Hua Zhou (NeurIPS, 2020)

An Unbiased Risk Estimator for Learning with Augmented Classes. - Yu-Jie Zhang; Peng Zhao 006; Lanjihong Ma; Zhi-Hua Zhou (NeurIPS, 2020)

A Simple Online Algorithm for Competing with Dynamic Comparators. - Yu-Jie Zhang; Peng Zhao 006; Zhi-Hua Zhou (UAI, 2020)

Handling concept drift via model reuse. - Peng Zhao 006; Le-Wen Cai; Zhi-Hua Zhou (Mach. Learn., 2020)

Exploratory Machine Learning with Unknown Unknowns. - Peng Zhao 006; Yu-Jie Zhang; Zhi-Hua Zhou (AAAI, 2021)

Storage Fit Learning with Feature Evolvable Streams. - Bo-Jian Hou; Yu-Hu Yan; Peng Zhao 006; Zhi-Hua Zhou (AAAI, 2021)

Towards Enabling Learnware to Handle Unseen Jobs. - Yu-Jie Zhang; Yu-Hu Yan; Peng Zhao 006; Zhi-Hua Zhou (AAAI, 2021)

Improved Analysis for Dynamic Regret of Strongly Convex and Smooth Functions. - Peng Zhao 006; Lijun Zhang 005 (L4DC, 2021)

Non-stationary Linear Bandits Revisited. - Peng Zhao 006; Lijun Zhang 005 (CoRR, 2021)

Bandit Convex Optimization in Non-stationary Environments. - Peng Zhao 006; Guanghui Wang 006; Lijun Zhang 005; Zhi-Hua Zhou (J. Mach. Learn. Res., 2021)

Distribution-Free One-Pass Learning. - Peng Zhao 006; Xinqiang Wang; Siyu Xie; Lei Guo 001; Zhi-Hua Zhou (IEEE Trans. Knowl. Data Eng., 2021)

Non-stationary Online Learning with Memory and Non-stochastic Control. - Peng Zhao 006; Yu-Xiang Wang 003; Zhi-Hua Zhou (AISTATS, 2022)

Adaptive Bandit Convex Optimization with Heterogeneous Curvature. - Haipeng Luo; Mengxiao Zhang; Peng Zhao 006 (COLT, 2022)

Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits. - Haipeng Luo; Mengxiao Zhang; Peng Zhao 006; Zhi-Hua Zhou (COLT, 2022)

No-Regret Learning in Time-Varying Zero-Sum Games. - Mengxiao Zhang; Peng Zhao 006; Haipeng Luo; Zhi-Hua Zhou (ICML, 2022)

Dynamic Regret of Online Markov Decision Processes. - Peng Zhao 006; Longfei Li; Zhi-Hua Zhou (ICML, 2022)

Efficient Methods for Non-stationary Online Learning. - Peng Zhao 006; Yan-Feng Xie; Lijun Zhang 005; Zhi-Hua Zhou (NeurIPS, 2022)

Adapting to Online Label Shift with Provable Guarantees. - Yong Bai; Yu-Jie Zhang; Peng Zhao 006; Masashi Sugiyama; Zhi-Hua Zhou (NeurIPS, 2022)

Improving Deep Forest by Screening. - Ming Pang; Kai Ming Ting; Peng Zhao 006; Zhi-Hua Zhou (IEEE Trans. Knowl. Data Eng., 2022)

Learning From Incomplete and Inaccurate Supervision. - Zhen-Yu Zhang; Peng Zhao 006; Yuan Jiang 001; Zhi-Hua Zhou (IEEE Trans. Knowl. Data Eng., 2022)

Beyond Performative Prediction: Open-environment Learning with Presence of Corruptions. - Jia-Wei Shan; Peng Zhao 006; Zhi-Hua Zhou (AISTATS, 2023)

Revisiting Weighted Strategy for Non-stationary Parametric Bandits. - Jing Wang; Peng Zhao 006; Zhi-Hua Zhou (AISTATS, 2023)

Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization. - Sijia Chen; Wei-Wei Tu; Peng Zhao 006; Lijun Zhang 005 (ICML, 2023)

Fast Rates in Time-Varying Strongly Monotone Games. - Yu-Hu Yan; Peng Zhao 006; Zhi-Hua Zhou (ICML, 2023)

Stochastic Approximation Approaches to Group Distributionally Robust Optimization. - Lijun Zhang 005; Peng Zhao 006; Zhen-Hua Zhuang; Tianbao Yang; Zhi-Hua Zhou (NeurIPS, 2023)

Dynamic Regret of Adversarial Linear Mixture MDPs. - Long-Fei Li; Peng Zhao 006; Zhi-Hua Zhou (NeurIPS, 2023)

Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach. - Yu-Hu Yan; Peng Zhao 006; Zhi-Hua Zhou (NeurIPS, 2023)

Adapting to Continuous Covariate Shift via Online Density Ratio Estimation. - Yu-Jie Zhang; Zhen-Yu Zhang; Peng Zhao 006; Masashi Sugiyama (CoRR, 2023)

Stochastic Approximation Approaches to Group Distributionally Robust Optimization. - Lijun Zhang 005; Peng Zhao 006; Tianbao Yang; Zhi-Hua Zhou (CoRR, 2023)

Universal Online Learning with Gradual Variations: A Multi-layer Online Ensemble Approach. - Yu-Hu Yan; Peng Zhao 006; Zhi-Hua Zhou (CoRR, 2023)

Online Non-stochastic Control with Partial Feedback. - Yu-Hu Yan; Peng Zhao 006; Zhi-Hua Zhou (J. Mach. Learn. Res., 2023)

Non-stationary Online Learning with Memory and Non-stochastic Control. - Peng Zhao 006; Yu-Hu Yan; Yu-Xiang Wang 003; Zhi-Hua Zhou (J. Mach. Learn. Res., 2023)

Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation. - Long-Fei Li; Peng Zhao 006; Zhi-Hua Zhou (AAAI, 2024)

Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition. - Long-Fei Li; Peng Zhao 006; Zhi-Hua Zhou (AISTATS, 2024)

Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation. - Yu-Yang Qian 001; Peng Zhao 006; Yu-Jie Zhang; Masashi Sugiyama; Zhi-Hua Zhou (ICML, 2024)

Learning with Adaptive Resource Allocation. - Jing Wang; Miao Yu; Peng Zhao 006; Zhi-Hua Zhou (ICML, 2024)

Handling Heterogeneous Curvatures in Bandit LQR Control. - Yu-Hu Yan; Jing Wang; Peng Zhao 006 (ICML, 2024)

Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs. - Long-Fei Li; Peng Zhao 006; Zhi-Hua Zhou (NeurIPS, 2024)

Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation. - Long-Fei Li; Yu-Jie Zhang; Peng Zhao 006; Zhi-Hua Zhou (NeurIPS, 2024)

Gradient-Variation Online Learning under Generalized Smoothness. - Yan-Feng Xie; Peng Zhao 006; Zhi-Hua Zhou (NeurIPS, 2024)

A Simple and Optimal Approach for Universal Online Learning with Gradient Variations. - Yu-Hu Yan; Peng Zhao 006; Zhi-Hua Zhou (NeurIPS, 2024)

Universal Online Convex Optimization with 1 Projection per Round. - Wenhao Yang; Yibo Wang 005; Peng Zhao 006; Lijun Zhang 005 (NeurIPS, 2024)

Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization. - Peng Zhao 006; Yu-Jie Zhang; Lijun Zhang 005; Zhi-Hua Zhou (J. Mach. Learn. Res., 2024)

Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization. - Sijia Chen; Yu-Jie Zhang; Wei-Wei Tu; Peng Zhao 006; Lijun Zhang 005 (J. Mach. Learn. Res., 2024)

Exploratory machine learning with unknown unknowns. - Peng Zhao 006; Jia-Wei Shan; Yu-Jie Zhang; Zhi-Hua Zhou (Artif. Intell., 2024)

Learning with Asynchronous Labels. - Yu-Yang Qian 001; Zhen-Yu Zhang; Peng Zhao 006; Zhi-Hua Zhou (ACM Trans. Knowl. Discov. Data, 2024)

Provably Efficient RLHF Pipeline: A Unified View from Contextual Bandits. - Long-Fei Li; Yu-Yang Qian 001; Peng Zhao 006; Zhi-Hua Zhou (CoRR, 2025)

Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update. - Jing Wang; Yu-Jie Zhang; Peng Zhao 006; Zhi-Hua Zhou (CoRR, 2025)

TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree. - Yu-Yang Qian 001; Yuan-Ze Xu; Zhen-Yu Zhang; Peng Zhao 006; Zhi-Hua Zhou (CoRR, 2025)

Learning Objective Adaptation by Correlation-Based Model Reuse. - Lanjihong Ma; Yao-Xiang Ding 001; Peng Zhao 006; Zhi-Hua Zhou (IEEE Trans. Neural Networks Learn. Syst., 2025)

Handling New Class in Online Label Shift. - Yu-Yang Qian 001; Yong Bai; Zhen-Yu Zhang; Peng Zhao 006; Zhi-Hua Zhou (IEEE Trans. Knowl. Data Eng., 2025)