| Large language models and causal inference in collaboration: A comprehensive survey X Liu, P Xu, J Wu, J Yuan, Y Yang, Y Zhou, F Liu, T Guan, H Wang, T Yu, ... NAACL 2025 Findings, 2024 | 151* | 2024 |
| Mementos: A comprehensive benchmark for multimodal large language model reasoning over image sequences X Wang, Y Zhou, X Liu, H Lu, Y Xu, F He, J Yoon, T Lu, G Bertasius, ... Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 69 | 2024 |
| Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement X Wang, J Chen, Z Wang, Y Zhou, Y Zhou, H Yao, T Zhou, T Goldstein, ... NAACL 2025 Findings, 2024 | 29 | 2024 |
| Explore Spurious Correlations at the Concept Level in Language Models for Text Classification Y Zhou, P Xu, X Liu, B An, W Ai, F Huang Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2023 | 24* | 2023 |
| Assessment of national organ donation rates and organ procurement organization metrics LJ DeRoos, Y Zhou, WJ Marrero, EB Tapper, CJ Sonnenday, MS Lavieri, ... JAMA surgery 156 (2), 173-180, 2021 | 23 | 2021 |
| Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices J Zhu, Y Zhou, VN Ioannidis, S Qian, W Ai, X Song, D Koutra Proceedings of the 17th ACM International Conference on Web Search and Data …, 2023 | 14* | 2023 |
| GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint P Xu, Y Zhou, B An, W Ai, F Huang ACM Transactions on Knowledge Discovery from Data (TKDD 2025), 2022 | 10* | 2022 |
| Scalable Prompt Generation for Semi-supervised Learning with Language Models Y Zhou, S Maharjan, B Liu Findings of the Association for Computational Linguistics: EACL 2023, 770–781, 2023 | 9 | 2023 |
| Multimodal graph benchmark J Zhu, Y Zhou, S Qian, Z He, T Zhao, N Shah, D Koutra CVPR 2025, 2024 | 7 | 2024 |
| Emojis decoded: Leveraging chatgpt for enhanced understanding in social media communications Y Zhou, P Xu, X Wang, X Lu, G Gao, W Ai ICWSM 2025, 2024 | 7 | 2024 |
| Teaching-Assistant-in-the-Loop: Improving Knowledge Distillation from Imperfect Teacher Models in Low-Budget Scenarios Y Zhou, W Ai Findings of the Association for Computational Linguistics: ACL 2024, 2024 | 5 | 2024 |
| When did it happen? Duration-informed temporal localization of narrated actions in vlogs O Ignat, S Castro, Y Zhou, J Bao, D Shan, R Mihalcea ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022 | 4 | 2022 |
| #Emoji: A Study on the Association between Emojis and Hashtags on Twitter Y Zhou, W Ai Proceedings of the International AAAI Conference on Web and Social Media …, 2022 | 4 | 2022 |
| Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation Y Zhou, J Zhu, P Xu, X Liu, X Wang, D Koutra, W Ai, F Huang Findings of the Association for Computational Linguistics: EMNLP 2024, 2024 | 3 | 2024 |
| Emoji Promotes Developer Participation and Issue Resolution on GitHub Y Zhou, X Lu, G Gao, Q Mei, W Ai Proceedings of the Eighteenth International AAAI Conference on Web and …, 2023 | 3 | 2023 |
| Csrec: Rethinking sequential recommendation from a causal perspective X Liu, J Yuan, Y Zhou, J Li, F Huang, W Ai arXiv preprint arXiv:2409.05872, 2024 | 2 | 2024 |
| MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs Y Zhou, G Karamanolakis, V Soto, A Rumshisky, M Kulkarni, F Huang, ... NAACL 2025 Main, 2025 | | 2025 |
| From Adoption to Adaption: Tracing the Diffusion of New Emojis on Twitter Y Zhou, X Lu, W Ai arXiv preprint arXiv:2402.14187, 2024 | | 2024 |
Wei Ai (艾苇)Assistant Professor, University of MarylandПодтвержден адрес электронной почты в домене umd.edu
