| Ml-lmcl: Mutual learning and large-margin contrastive learning for improving asr robustness in spoken language understanding X Cheng, B Cao, Q Ye, Z Zhu, H Li, Y Zou arXiv preprint arXiv:2311.11375, 2023 | 37 | 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 | 19 | 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 | 18 | 2023 |
| 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 | 16 | 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 | 15 | 2023 |
| 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 | 15 | 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 | 14 | 2023 |
| Fits: Fine-grained two-stage training for knowledge-aware question answering Q Ye, B Cao, N Chen, W Xu, Y Zou Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 13914 …, 2023 | 10 | 2023 |
| Mrrl: Modifying the reference via reinforcement learning for non-autoregressive joint multiple intent detection and slot filling X Cheng, Z Zhu, B Cao, Q Ye, Y Zou Findings of the Association for Computational Linguistics: EMNLP 2023, 10495 …, 2023 | 9 | 2023 |
| 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 | 9 | 2023 |
| Nadiffuse: Noise-aware diffusion-based model for speech enhancement W Wang, D Yang, Q Ye, B Cao, Y Zou 2023 Asia Pacific Signal and Information Processing Association Annual …, 2023 | 4 | 2023 |
| Ftm: A frame-level timeline modeling method for temporal graph representation learning B Cao, Q Ye, W Xu, Y Zou Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 6888-6896, 2023 | 1 | 2023 |
| Technical Report for WAIC Challenge of Financial QA under Market Volatility M Cao, Q Ye, J Jiang, Y Zou | | |
Peilin ZhouHKUST; Peking University在 connect.hkust-gz.edu.cn 的电子邮件经过验证
