| Usb: A unified semi-supervised learning benchmark for classification Y Wang, H Chen, Y Fan, W Sun, R Tao, W Hou, R Wang, L Yang, Z Zhou, ... Advances in Neural Information Processing Systems 35, 3938-3961, 2022 | 132 | 2022 |
| Step: Out-of-distribution detection in the presence of limited in-distribution labeled data Z Zhou, LZ Guo, Z Cheng, YF Li, S Pu Advances in Neural Information Processing Systems 34, 29168-29180, 2021 | 42 | 2021 |
| Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts JX Shi, T Wei, Z Zhou, JJ Shao, XY Han, YF Li Forty-first International Conference on Machine Learning, 2024 | 29* | 2024 |
| Ods: Test-time adaptation in the presence of open-world data shift Z Zhou, LZ Guo, LH Jia, D Zhang, YF Li International Conference on Machine Learning, 42574-42588, 2023 | 28 | 2023 |
| Record: Resource constrained semi-supervised learning under distribution shift LZ Guo, Z Zhou, YF Li Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 23 | 2020 |
| LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model Z Zhou, JX Shi, PX Song, XW Yang, YX Jin, LZ Guo, YF Li arXiv preprint arXiv:2406.04614, 2024 | 22 | 2024 |
| LAMDA-SSL: A Comprehensive Semi-Supervised Learning Toolkit LH Jia, LZ Guo, Z Zhou, YF Li | 16* | 2023 |
| Identifying Useful Learnwares for Heterogeneous Label Spaces LZ Guo*, Z Zhou*(Equal Contribution), YF Li, ZH Zhou The 40th International Conference on Machine Learning, 2023 | 9 | 2023 |
| Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment LZ Guo*, Z Zhou*, JJ Shao, Q Zhang, F Kuang, GL Li, ZX Liu, GB Wu, ... *:Equal Contribution, Proceedings of the 27th ACM SIGKDD Conference on …, 2021 | 8 | 2021 |
| Bidirectional adaptation for robust semi-supervised learning with inconsistent data distributions LH Jia, LZ Guo, Z Zhou, JJ Shao, Y Xiang, YF Li International Conference on Machine Learning, 14886-14901, 2023 | 7 | 2023 |
| Robust deep semi-supervised learning: A brief introduction LZ Guo, Z Zhou, YF Li arXiv preprint arXiv:2202.05975, 2022 | 7 | 2022 |
| Rts: learning robustly from time series data with noisy label Z Zhou, YX Jin, YF Li Frontiers of Computer Science 18 (6), 186332, 2024 | 4 | 2024 |
| Robust Test-Time Adaptation for Zero-Shot Prompt Tuning DC Zhang*, Z Zhou*(Equal Contribution), YF Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16714 …, 2024 | 4 | 2024 |
| DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection Z Zhou, M Yang, JX Shi, LZ Guo, YF Li arXiv preprint arXiv:2406.00345, 2024 | 2 | 2024 |
| HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors HK Zhang, YG Zhang, Z Zhou, YF Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16750 …, 2024 | 2 | 2024 |
| Towards Robust Test-Time Adaptation for Open-Set Recognition 周植， 张丁楚， 李宇峰， 张敏灵 Journal of Software 35 (4), 1667-1681, 2023 | 1 | 2023 |
| Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments LH Jia, LZ Guo, Z Zhou, YF Li The Twelfth International Conference on Learning Representations, 2023 | 1 | 2023 |
| Fully Test-time Adaptation for Tabular Data Z Zhou, KY Yu, LZ Guo, YF Li arXiv preprint arXiv:2412.10871, 2024 | | 2024 |
| Neuro-Symbolic Data Generation for Math Reasoning Z Li, Z Zhou, Y Yao, YF Li, C Cao, F Yang, X Zhang, X Ma arXiv preprint arXiv:2412.04857, 2024 | | 2024 |
| Enabling Small Models for Zero-Shot Classification through Model Label Learning J Zhang, Z Zhou, LZ Guo, YF Li arXiv preprint arXiv:2408.11449, 2024 | | 2024 |
Yu-Feng LiProfessor, Nanjing UniversityVerified email at lamda.nju.edu.cn
