| Robust Semi-Supervised Learning when Not All Classes have Labels LZ Guo, YG Zhang, ZF Wu, JJ Shao, YF Li Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS 2022), 2022 | 41 | 2022 |
| Parameter-efficient long-tailed recognition JX Shi, T Wei, Z Zhou, XY Han, JJ Shao, YF Li arXiv preprint arXiv:2309.10019, 2023 | 16 | 2023 |
| Multi-source news recommender system based on convolutional neural networks B Yu, J Shao, Q Cheng, H Yu, G Li, S Lü Proceedings of the 3rd international conference on intelligent information …, 2018 | 15 | 2018 |
| 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 | 14 | 2024 |
| Open-set learning under covariate shift JJ Shao, XW Yang, LZ Guo Machine Learning 113 (4), 1643-1659, 2024 | 13 | 2024 |
| LOG: Active Model Adaptation for Label-Efficient OOD Generalization JJ Shao, LZ Guo, XW Yang, YF Li Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS 2022), 2022 | 9 | 2022 |
| 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, N Ma, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 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 |
| Investigating the limitation of clip models: The worst-performing categories JJ Shao, JX Shi, XW Yang, LZ Guo, YF Li arXiv preprint arXiv:2310.03324, 2023 | 6 | 2023 |
| Safe Abductive Learning in the Presence of Inaccurate Rules XW Yang, JJ Shao, WW Tu, YF Li, WZ Dai, ZH Zhou Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16361 …, 2024 | 5 | 2024 |
| Towards Robust Model Reuse in the Presence of Latent Domains JJ Shao, Z Cheng, YF Li, S Pu Proceedings of the 30th International Joint Conference on Artificial …, 2021 | 5 | 2021 |
| Active model adaptation under unknown shift JJ Shao, Y Xu, Z Cheng, YF Li Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 4 | 2022 |
| Offline Imitation Learning with Model-based Reverse Augmentation JJ Shao, HS Shi, LZ Guo, YF Li Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 2 | 2024 |
| Offline Imitation Learning without Auxiliary High-quality Behavior Data JJ Shao, HS Shi, T Xu, LZ Guo, Y Yu, YF Li | 2 | 2023 |
| Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts XW Yang, WD Wei, JJ Shao, YF Li, ZH Zhou Forty-first International Conference on Machine Learning, 2024 | 1 | 2024 |
| Lightweight Retrieval Tuning for Black-Box Language Models XW Yang, HJ You, PX Song, HR Hao, JJ Shao, YF Li Efficient Natural Language and Speech Processing Workshop at NeurIPS 2023, 2023 | 1 | 2023 |
| Robust semi-supervised learning in open environments LZ Guo, LH Jia, JJ Shao, YF Li Frontiers of Computer Science 19 (8), 198345, 2025 | | 2025 |
| ChinaTravel: A Real-World Benchmark for Language Agents in Chinese Travel Planning JJ Shao, XW Yang, BW Zhang, B Chen, WD Wei, G Cai, Z Dong, LZ Guo, ... arXiv preprint arXiv:2412.13682, 2024 | | 2024 |
| Learning for Long-Horizon Planning via Neuro-Symbolic Abductive Imitation JJ Shao, HR Hao, XW Yang, YF Li arXiv preprint arXiv:2411.18201, 2024 | | 2024 |
| WPNet: Wallpaper Recommendation with Deep Convolutional Neural Networks H Yu, Q Cheng, J Shao, B Yu, G Li, S Lü Geo-Spatial Knowledge and Intelligence: 5th International Conference, GSKI …, 2018 | | 2018 |
Yu-Feng LiProfessor, Nanjing UniversityVerified email at lamda.nju.edu.cn
