| Is chatgpt a good recommender? a preliminary study J Liu, C Liu, P Zhou, R Lv, K Zhou, Y Zhang arXiv preprint arXiv:2304.10149v2, 2023 | 126 | 2023 |
| Decoupled Side Information Fusion for Sequential Recommendation Y Xie, P Zhou, S Kim International ACM SIGIR Conference on Research and Development in …, 2022 | 64 | 2022 |
| Masked spectrogram prediction for self-supervised audio pre-training D Chong, H Wang, P Zhou, Q Zeng ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 43 | 2023 |
| Adaptive bi-directional attention: Exploring multi-granularity representations for machine reading comprehension N Chen, F Liu, C You, P Zhou, Y Zou ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 32 | 2021 |
| Joint multiple intent detection and slot filling via self-distillation L Chen, P Zhou, Y Zou ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 29 | 2022 |
| PIN: A novel parallel interactive network for spoken language understanding P Zhou, Z Huang, F Liu, Y Zou 2020 25th International Conference on Pattern Recognition (ICPR), 2950-2957, 2021 | 26 | 2021 |
| A survey of large language models in medicine: Progress, application, and challenge H Zhou, B Gu, X Zou, Y Li, SS Chen, P Zhou, J Liu, Y Hua, C Mao, X Wu, ... arXiv preprint arXiv:2311.05112, 2023 | 20 | 2023 |
| Llmrec: Benchmarking large language models on recommendation task J Liu, C Liu, P Zhou, Q Ye, D Chong, K Zhou, Y Xie, Y Cao, S Wang, ... arXiv preprint arXiv:2308.12241, 2023 | 17 | 2023 |
| Sentiment injected iteratively co-interactive network for spoken language understanding Z Huang, F Liu, P Zhou, Y Zou ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 17 | 2021 |
| Benchmarking Large Language Models on CMExam-A Comprehensive Chinese Medical Exam Dataset J Liu, P Zhou, Y Hua, D Chong, Z Tian, A Liu, H Wang, C You, Z Guo, ... Advances in Neural Information Processing Systems 36, 2024 | 16 | 2024 |
| Equivariant contrastive learning for sequential recommendation P Zhou, J Gao, Y Xie, Q Ye, Y Hua, J Kim, S Wang, S Kim Proceedings of the 17th ACM Conference on Recommender Systems, 129-140, 2023 | 15 | 2023 |
| Exploring recommendation capabilities of gpt-4v (ision): A preliminary case study P Zhou, M Cao, YL Huang, Q Ye, P Zhang, J Liu, Y Xie, Y Hua, J Kim arXiv preprint arXiv:2311.04199, 2023 | 14 | 2023 |
| Rethinking multi-interest learning for candidate matching in recommender systems Y Xie, J Gao, P Zhou, Q Ye, Y Hua, JB Kim, F Wu, S Kim Proceedings of the 17th ACM Conference on Recommender Systems, 283-293, 2023 | 13 | 2023 |
| Qilin-med-vl: Towards chinese large vision-language model for general healthcare J Liu, Z Wang, Q Ye, D Chong, P Zhou, Y Hua arXiv preprint arXiv:2310.17956, 2023 | 12 | 2023 |
| Semantic Transportation Prototypical Network for Few-Shot Intent Detection. W Xu, P Zhou, C You, Y Zou Interspeech, 251-255, 2021 | 12 | 2021 |
| Qilin-med: Multi-stage knowledge injection advanced medical large language model Q Ye, J Liu, D Chong, P Zhou, Y Hua, A Liu arXiv preprint arXiv:2310.09089, 2023 | 11 | 2023 |
| METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets P Zhou, Z Wang, D Chong, Z Guo, Y Hua, Z Su, Z Teng, J Wu, J Yang NeurIPS 2022, 2022 | 10 | 2022 |
| Attention Calibration for Transformer-based Sequential Recommendation P Zhou, Q Ye, Y Xie, J Gao, S Wang, JB Kim, C You, S Kim Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 7 | 2023 |
| GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost Q Zeng, L Garay, P Zhou, D Chong, Y Hua, J Wu, Y Pan, H Zhou, R Voigt, ... International Joint Conference on Artificial Intelligence, 0 | 6* | |
| Large Language Models in Mental Health Care: a Scoping Review Y Hua, F Liu, K Yang, Z Li, Y Sheu, P Zhou, LV Moran, S Ananiadou, ... arXiv preprint arXiv:2401.02984, 2024 | 4 | 2024 |
Yining HuaHarvard UniversityVerified email at g.harvard.edu
