| 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, ... In: Advances in Neural Information Processing Systems, 3938-3961, 2022 | 197 | 2022 |
| Long-tail learning with foundation model: Heavy fine-tuning hurts JX Shi, T Wei, Z Zhou, JJ Shao, XY Han, YF Li arXiv preprint arXiv:2309.10019, 2023 | 101* | 2023 |
| Lawgpt: Knowledge-guided data generation and its application to legal llm Z Zhou, KY Yu, SY Tian, XW Yang, JX Shi, P Song, YX Jin, LZ Guo, YF Li arXiv preprint arXiv:2502.06572, 2025 | 82* | 2025 |
| 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 | 50 | 2023 |
| Step: Out-of-distribution detection in the presence of limited in-distribution labeled data Z Zhou, LZ Guo, Z Cheng, YF Li, S Pu In: Advances in Neural Information Processing Systems, 29168-29180, 2021 | 44 | 2021 |
| Neuro-symbolic data generation for math reasoning Z Li, Z Zhou, Y Yao, X Zhang, YF Li, C Cao, F Yang, X Ma Advances in Neural Information Processing Systems 37, 23488-23515, 2024 | 28 | 2024 |
| LAMDA-SSL: A Comprehensive Semi-Supervised Learning Toolkit LH Jia, LZ Guo, Z Zhou, YF Li | 25* | 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 |
| Identifying Useful Learnwares for Heterogeneous Label Spaces LZ Guo*, Z Zhou* (Co-first Author), YF Li, ZH Zhou In: Proceedings of the 40th International Conference on Machine Learning, 2023 | 22 | 2023 |
| 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 | 20 | 2024 |
| Step back to leap forward: Self-backtracking for boosting reasoning of language models XW Yang, XY Zhu, WD Wei, DC Zhang, JJ Shao, Z Zhou, LZ Guo, YF Li arXiv preprint arXiv:2502.04404, 2025 | 19 | 2025 |
| 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 | 16 | 2024 |
| A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning Z Zhou, Y Tan, Z Li, Y Yao, LZ Guo, YF Li, X Ma In: Advances in Neural Information Processing Systems, 2025 | 15* | 2025 |
| 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 | 13 | 2024 |
| 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 | 10 | 2023 |
| Fully test-time adaptation for tabular data Z Zhou, KY Yu, LZ Guo, YF Li Proceedings of the AAAI Conference on Artificial Intelligence 39 (21), 23027 …, 2025 | 9 | 2025 |
| 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 |
| 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 | 6 | 2024 |
| 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 | 4 | 2023 |
Yu-Feng LiProfessor, Nanjing UniversityVerified email at lamda.nju.edu.cn
