| Dynamic regret of convex and smooth functions P Zhao, YJ Zhang, L Zhang, ZH Zhou NeurIPS 2020, 12510-12520, 2020 | 108 | 2020 |
| A Simple Approach for Non-stationary Linear Bandits P Zhao, L Zhang, Y Jiang, ZH Zhou AISTATS 2020, 746-755, 2020 | 106 | 2020 |
| Label Distribution Learning by Optimal Transport P Zhao, ZH Zhou AAAI 2018, 4506-4513, 2018 | 79 | 2018 |
| Handling Concept Drift via Model Reuse P Zhao, LW Cai, ZH Zhou Machine Learning 109 (3), 533–568, 2020 | 74 | 2020 |
| Learning from Incomplete and Inaccurate Supervision ZY Zhang, P Zhao, Y Jiang, ZH Zhou IEEE Transactions on Knowledge and Data Engineering 34 (12), 5854-5868, 2022 | 72 | 2022 |
| Improving Deep Forest by Confidence Screening M Pang, KM Ting, P Zhao, ZH Zhou ICDM 2018, 1194-1199, 2018 | 69 | 2018 |
| Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization P Zhao, YJ Zhang, L Zhang, ZH Zhou Journal of Machine Learning Research 25 (98), 1-52, 2024 | 55 | 2024 |
| Bandit Convex Optimization in Non-stationary Environments P Zhao, G Wang, L Zhang, ZH Zhou Journal of Machine Learning Research 22 (125), 1-45, 2021 | 53 | 2021 |
| Non-stationary Online Learning with Memory and Non-stochastic Control P Zhao, YH Yan, YX Wang, ZH Zhou Journal of Machine Learning Research, 1-70, 2023 | 52 | 2023 |
| Improved Analysis for Dynamic Regret of Strongly Convex and Smooth Functions P Zhao, L Zhang L4DC 2021, 48-59, 2021 | 51 | 2021 |
| No-Regret Learning in Time-Varying Zero-Sum Games M Zhang, P Zhao, H Luo, ZH Zhou ICML 2022, 26772-26808, 2022 | 49 | 2022 |
| Learning with Feature and Distribution Evolvable Streams ZY Zhang, P Zhao, Y Jiang, ZH Zhou ICML 2020, 11317-11327, 2020 | 47 | 2020 |
| Adapting to Online Label Shift with Provable Guarantees Y Bai, YJ Zhang, P Zhao, M Sugiyama, ZH Zhou NeurIPS 2022, 29960-29974, 2022 | 36 | 2022 |
| Distribution-Free One-Pass Learning P Zhao, X Wang, S Xie, L Guo, ZH Zhou IEEE Transactions on Knowledge and Data Engineering 34 (3), 951-963, 2021 | 36 | 2021 |
| Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits Y Tao, Y Wu, P Zhao, D Wang AISTATS 2022, 1546-1574, 2022 | 35 | 2022 |
| Nearest Neighbor Ensembles: An Effective Method for Difficult Problems in Streaming Classification with Emerging New Classes XQ Cai, P Zhao, KM Ting, X Mu, Y Jiang ICDM 2019, 970-975, 2019 | 32 | 2019 |
| Exploratory Machine Learning with Unknown Unknowns P Zhao, JW Shan, YJ Zhang, ZH Zhou Artificial Intelligence 327, 104059, 2024 | 30 | 2024 |
| An Unbiased Risk Estimator for Learning with Augmented Classes YJ Zhang, P Zhao, L Ma, ZH Zhou NeurIPS 2020, 10247-10258, 2020 | 29 | 2020 |
| Efficient Methods for Non-stationary Online Learning P Zhao, YF Xie, L Zhang, ZH Zhou NeurIPS 2022, 11573-11585, 2022 | 26 | 2022 |
| Storage Fit Learning with Feature Evolvable Streams BJ Hou, YH Yan, P Zhao, ZH Zhou AAAI 2021, 7729-7736, 2021 | 25 | 2021 |
Zhi-Hua ZhouNanjing UniversityVerified email at nju.edu.cn
