| A bi-step grounding paradigm for large language models in recommendation systems K Bao, J Zhang, W Wang, Y Zhang, Z Yang, Y Luo, F Feng, X He, Q Tian arXiv preprint arXiv:2308.08434, 2023 | 42 | 2023 |
| Llara: Large language-recommendation assistant J Liao, S Li, Z Yang, J Wu, Y Yuan, X Wang, X He Preprint, 2024 | 24* | 2024 |
| Large language model can interpret latent space of sequential recommender Z Yang, J Wu, Y Luo, J Zhang, Y Yuan, A Zhang, X Wang, X He arXiv preprint arXiv:2310.20487, 2023 | 23 | 2023 |
| A generic learning framework for sequential recommendation with distribution shifts Z Yang, X He, J Zhang, J Wu, X Xin, J Chen, X Wang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 16 | 2023 |
| Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion Z Yang, J Wu, Z Wang, X Wang, Y Yuan, X He NeurIPS 2023, 2023 | 14 | 2023 |
| Moltc: Towards molecular relational modeling in language models J Fang, S Zhang, C Wu, Z Yang, Z Liu, S Li, K Wang, W Du, X Wang arXiv preprint arXiv:2402.03781, 2024 | 10 | 2024 |
| Item-side Fairness of Large Language Model-based Recommendation System M Jiang, K Bao, J Zhang, W Wang, Z Yang, F Feng, X He Proceedings of the ACM on Web Conference 2024, 4717-4726, 2024 | 8 | 2024 |
| Text-guided diffusion model for 3d molecule generation Y Luo, S Li, Z Liu, J Wu, Z Yang, X He, X Wang, Q Tian | 3 | 2024 |
| On Softmax Direct Preference Optimization for Recommendation Y Chen, J Tan, A Zhang, Z Yang, L Sheng, E Zhang, X Wang, TS Chua arXiv preprint arXiv:2406.09215, 2024 | | 2024 |
| Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation C Li, Z Yang, J Zhang, J Wu, D Wang, X He, X Wang arXiv preprint arXiv:2310.16566, 2023 | | 2023 |
Xiang WangUniversity of Science and Technology of China在 ustc.edu.cn 的电子邮件经过验证
