| Improving out-of-distribution robustness via selective augmentation H Yao*, Y Wang*, S Li, L Zhang, W Liang, J Zou, C Finn International Conference on Machine Learning (ICML) 2022, 2022 | 162 | 2022 |
| Meta-learning with an adaptive task scheduler H Yao*, Y Wang*, Y Wei, P Zhao, M Mahdavi, D Lian, C Finn Advances in Neural Information Processing Systems 34, 7497-7509, 2021 | 40 | 2021 |
| Learning Concise and Descriptive Attributes for Visual Recognition A Yan*, Y Wang*, Y Zhong*, C Dong, Z He, Y Lu, W Wang, J Shang, ... ICCV 2023, 2023 | 38 | 2023 |
| Learning robust recommenders through cross-model agreement Y Wang, X Xin, Z Meng, JM Jose, F Feng, X He Proceedings of the ACM Web Conference 2022, 2015-2025, 2022 | 28 | 2022 |
| Controlling Bias Exposure for Fair Interpretable Predictions Z He, Y Wang, J McAuley, BP Majumder Finds of EMNLP 2022, 2022 | 20 | 2022 |
| Robust and interpretable medical image classifiers via concept bottleneck models A Yan, Y Wang, Y Zhong, Z He, P Karypis, Z Wang, C Dong, A Gentili, ... arXiv preprint arXiv:2310.03182, 2023 | 18 | 2023 |
| MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation Z He, Y Wang, A Yan, Y Liu, EY Chang, A Gentili, J McAuley, CN Hsu EMNLP 2023, 2023 | 6 | 2023 |
| Autood: Automatic outlier detection L Cao, Y Yan, Y Wang, S Madden, EA Rundensteiner Proceedings of the ACM on Management of Data 1 (1), 1-27, 2023 | 5 | 2023 |
| MEMORYLLM: Towards Self-Updatable Large Language Models Y Wang, Y Gao, X Chen, H Jiang, S Li, J Yang, Q Yin, Z Li, X Li, B Yin, ... International Conference on Machine Learning (ICML) 2024, 2024 | 4 | 2024 |
| LVCHAT: Facilitating Long Video Comprehension Y Wang, Z Zhang, J McAuley, Z He arXiv preprint arXiv:2402.12079, 2024 | 1 | 2024 |
| Large Scale Knowledge Washing Y Wang, R Wu, Z He, X Chen, J McAuley arXiv preprint arXiv:2405.16720, 2024 | | 2024 |
| Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation Y Wang, Z He, Z He, H Xu, J McAuley Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 9133-9141, 2024 | | 2024 |
| Outlier Summarization via Human Interpretable Rules Y Deng, Y Wang, L Cao, L Qiao, Y Wang, J Xu, Y Yan, S Madden Proceedings of the VLDB Endowment 17 (7), 1591-1604, 2024 | | 2024 |
| Generating, Reconstructing, and Representing Discrete and Continuous Data: Generalized Diffusion with Learnable Encoding-Decoding G Liu*, Y Wang*, Z Feng*, Q Wu, L Tang, Y Gao, Z Li, S Cui, J McAuley, ... International Conference on Machine Learning (ICML) 2024, 2024 | | 2024 |
Julian McAuleyProfessor, UC San DiegoVerified email at eng.ucsd.edu
