| 2025 | ICML | Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update. | Jing Wang, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou |
| 2025 | ICML | Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability. | Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama |
| 2024 | ICML | 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 |
| 2024 | ICML | Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical. | Wei Wang, Takashi Ishida, Yu-Jie Zhang, Gang Niu, Masashi Sugiyama |
| 2022 | KDD | Adaptive Learning for Weakly Labeled Streams. | Zhen-Yu Zhang, Yu-Yang Qian, Yu-Jie Zhang, Yuan Jiang, Zhi-Hua Zhou |
| 2021 | AAAI | Exploratory Machine Learning with Unknown Unknowns. | Peng Zhao, Yu-Jie Zhang, Zhi-Hua Zhou |
| 2021 | AAAI | Towards Enabling Learnware to Handle Unseen Jobs. | Yu-Jie Zhang, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou |
| 2020 | UAI | A Simple Online Algorithm for Competing with Dynamic Comparators. | Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou |