| Popularity-opportunity bias in collaborative filtering Z Zhu, Y He, X Zhao, Y Zhang, J Wang, J Caverlee Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 159 | 2021 |
| Infusing disease knowledge into BERT for health question answering, medical inference and disease name recognition Y He, Z Zhu, Y Zhang, Q Chen, J Caverlee arXiv preprint arXiv:2010.03746, 2020 | 128 | 2020 |
| Popularity bias in dynamic recommendation Z Zhu, Y He, X Zhao, J Caverlee Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 92 | 2021 |
| Hyperprompt: Prompt-based task-conditioning of transformers Y He, S Zheng, Y Tay, J Gupta, Y Du, V Aribandi, Z Zhao, YG Li, Z Chen, ... International conference on machine learning, 8678-8690, 2022 | 87 | 2022 |
| Item relationship graph neural networks for e-commerce W Liu, Y Zhang, J Wang, Y He, J Caverlee, PPK Chan, DS Yeung, ... IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4785-4799, 2021 | 59 | 2021 |
| Metabalance: improving multi-task recommendations via adapting gradient magnitudes of auxiliary tasks Y He, X Feng, C Cheng, G Ji, Y Guo, J Caverlee Proceedings of the ACM Web Conference 2022, 2205-2215, 2022 | 54 | 2022 |
| Unbiased implicit recommendation and propensity estimation via combinational joint learning Z Zhu, Y He, Y Zhang, J Caverlee Proceedings of the 14th ACM Conference on Recommender Systems, 551-556, 2020 | 54 | 2020 |
| Consistency-aware recommendation for user-generated item list continuation Y He, Y Zhang, W Liu, J Caverlee Proceedings of the 13th international conference on web search and data …, 2020 | 50 | 2020 |
| Content-collaborative disentanglement representation learning for enhanced recommendation Y Zhang, Z Zhu, Y He, J Caverlee Proceedings of the 14th ACM Conference on Recommender Systems, 43-52, 2020 | 43 | 2020 |
| A hierarchical self-attentive model for recommending user-generated item lists Y He, J Wang, W Niu, J Caverlee Proceedings of the 28th ACM international conference on information and …, 2019 | 41 | 2019 |
| ECNU at 2015 CDS track: two re-ranking methods in medical information retrieval Y Song, Y He, Q Hu, L He Proceedings of the 2015 text retrieval conference, 2015 | 34 | 2015 |
| ECNU at TREC 2014: Clinical decision support track M Li, Y Song, Y He, Q Hu, L He, EM Haacke Text Retrieval Conference (TREC 2014), 2014 | 27* | 2014 |
| PARADE: A new dataset for paraphrase identification requiring computer science domain knowledge Y He, Z Wang, Y Zhang, R Huang, J Caverlee arXiv preprint arXiv:2010.03725, 2020 | 23 | 2020 |
| Adaptive hierarchical translation-based sequential recommendation Y Zhang, Y He, J Wang, J Caverlee Proceedings of the Web Conference 2020, 2984-2990, 2020 | 18 | 2020 |
| ECNU at 2015 eHealth Task 2: User-centred Health Information Retrieval. Y Song, Y He, Q Hu, L He, EM Haacke CLEF (Working Notes), 2015 | 15 | 2015 |
| Pseudo-implicit feedback for alleviating data sparsity in top-k recommendation Y He, H Chen, Z Zhu, J Caverlee 2018 IEEE International Conference on Data Mining (ICDM), 1025-1030, 2018 | 9 | 2018 |
| ECNU at 2016 eHealth Task 3: Patient-centred Information Retrieval. Y Song, Y He, H Liu, Y Wang, Q Hu, L He, G Luo CLEF (Working Notes), 157-161, 2016 | 8 | 2016 |
| The perfect blend: Redefining RLHF with mixture of judges T Xu, E Helenowski, KA Sankararaman, D Jin, K Peng, E Han, S Nie, ... arXiv preprint arXiv:2409.20370, 2024 | 7 | 2024 |
| Promptattack: Probing dialogue state trackers with adversarial prompts X Dong, Y He, Z Zhu, J Caverlee arXiv preprint arXiv:2306.04535, 2023 | 7 | 2023 |
| Estimating probability density of content types for promoting medical records search Y He, Q Hu, Y Song, L He Advances in Information Retrieval: 38th European Conference on IR Research …, 2016 | 7 | 2016 |