| 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 | 77* | 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 | 33 | 2021 |
| 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 | 19 | 2020 |
| LAMDA-SSL: A Comprehensive Semi-Supervised Learning Toolkit LH Jia, LZ Guo, Z Zhou, YF Li | 8* | |
| 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 | 7 | 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 | 7 | 2021 |
| Robust deep semi-supervised learning: A brief introduction LZ Guo, Z Zhou, YF Li arXiv preprint arXiv:2202.05975, 2022 | 6 | 2022 |
| Rts: learning robustly from time series data with noisy label Z Zhou, YX Jin, YF Li Frontiers of Computer Science 18 (6), 1-18, 2024 | 3 | 2024 |
| Parameter-Efficient Long-Tailed Recognition JX Shi, T Wei, Z Zhou, XY Han, JJ Shao, YF Li arXiv preprint arXiv:2309.10019, 2023 | 3 | 2023 |
| 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 | 3 | 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 | 3 | 2023 |
| 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), 0-0, 2023 | 1 | 2023 |
| 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 | | 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 | | 2024 |
| You Only Submit One Image to Find the Most Suitable Generative Model Z Zhou, LZ Guo, P Song, YF Li NeurIPS Workshop, 2023 | | 2023 |
| A Benchmark on Robust Semi-Supervised Learning in Open Environments LH Jia, LZ Guo, Z Zhou, YF Li The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
Lan-Zhe GuoLAMDA Group, Nanjing University在 lamda.nju.edu.cn 的电子邮件经过验证
