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Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024
88 * 2024 A bi-step grounding paradigm for large language models in recommendation systems K Bao, J Zhang, W Wang, Y Zhang, Z Yang, Y Luo, C Chen, F Feng, ...
ACM Transactions on Recommender Systems, 2023
69 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
59 2023 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
36 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
35 2023 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 Web Conference 2024, 4717-4726, 2024
25 2024 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
20 2024 J Wu, Y Xie, Z Yang, J Wu, J Gao, B Ding, X Wang, X He
Advances in Neural Information Processing Systems 37, 129944-129966, 2025
15 2025 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
9 2024 Towards robust alignment of language models: Distributionally robustifying direct preference optimization J Wu, Y Xie, Z Yang, J Wu, J Chen, J Gao, B Ding, X Wang, X He
arXiv preprint arXiv:2407.07880, 2024
6 2024 Text-guided diffusion model for 3d molecule generation Y Luo, J Fang, S Li, Z Liu, J Wu, A Zhang, W Du, X Wang
arXiv preprint arXiv:2410.03803, 2024
5 2024 J Wu, X Wang, Z Yang, J Wu, J Gao, B Ding, X Wang, X He
arXiv preprint arXiv:2410.10148, 2024
2 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
1 2023 
Xiang WangUniversity of Science and Technology of ChinaПідтверджена електронна адреса в ustc.edu.cn
