| Trustworthy LLMs: A survey and guideline for evaluating large language models' alignment Y Liu, Y Yao, JF Ton, X Zhang, RGH Cheng, Y Klochkov, MF Taufiq, H Li arXiv preprint arXiv:2308.05374, 2023 | 273 | 2023 |
| Conversational contextual bandit: Algorithm and application X Zhang, H Xie, H Li, J CS Lui Proceedings of the web conference 2020, 662-672, 2020 | 112 | 2020 |
| Modeling the assimilation-contrast effects in online product rating systems: Debiasing and recommendations X Zhang, J Zhao, JCS Lui Proceedings of the Eleventh ACM Conference on Recommender Systems, 98-106, 2017 | 48 | 2017 |
| Sybil detection in social-activity networks: Modeling, algorithms and evaluations X Zhang, H Xie, JCS Lui 2018 IEEE 26th International Conference on Network Protocols (ICNP), 44-54, 2018 | 18 | 2018 |
| Debiasing recommendation by learning identifiable latent confounders Q Zhang, X Zhang, Y Liu, H Wang, M Gao, J Zhang, R Guo Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 16 | 2023 |
| Disentangled representation for diversified recommendations X Zhang, H Wang, H Li Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 14 | 2023 |
| Understanding assimilation-contrast effects in online rating systems: modelling, debiasing, and applications X Zhang, H Xie, J Zhao, JCS Lui ACM Transactions on Information Systems (TOIS) 38 (1), 1-25, 2019 | 14 | 2019 |
| Toward building conversational recommender systems: A contextual bandit approach X Zhang, H Xie, H Li, J Lui arXiv preprint arXiv:1906.01219, 2019 | 12 | 2019 |
| Overcoming reward overoptimization via adversarial policy optimization with lightweight uncertainty estimation X Zhang, JF Ton, W Shen, H Wang, Y Liu arXiv preprint arXiv:2403.05171, 2024 | 10 | 2024 |
| Enhancing Sybil detection via social-activity networks: A random walk approach X Zhang, H Xie, P Yi, JCS Lui IEEE Transactions on Dependable and Secure Computing 20 (2), 1213-1227, 2022 | 10 | 2022 |
| Improving Reinforcement Learning from Human Feedback Using Contrastive Rewards W Shen, X Zhang, Y Yao, R Zheng, H Guo, Y Liu arXiv preprint arXiv:2403.07708, 2024 | 7 | 2024 |
| Uncertainty-aware instance reweighting for off-policy learning X Zhang, J Chen, H Wang, H Xie, Y Liu, J Lui, H Li Advances in Neural Information Processing Systems 36, 73691-73718, 2023 | 7 | 2023 |
| Heterogeneous information assisted bandit learning: Theory and application X Zhang, H Xie, JCS Lui 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2135-2140, 2021 | 3 | 2021 |
| Toward Optimal LLM Alignments Using Two-Player Games R Zheng, H Guo, Z Liu, X Zhang, Y Yao, X Xu, Z Wang, Z Xi, T Gui, ... arXiv preprint arXiv:2406.10977, 2024 | 1 | 2024 |
| Improving bandit learning via heterogeneous information networks: algorithms and applications X Zhang, H Xie, JCS Lui ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (6), 1-25, 2022 | 1 | 2022 |
| Retention Depolarization in Recommender System X Zhang, H Wang, Y Liu Proceedings of the ACM on Web Conference 2024, 1126-1137, 2024 | | 2024 |
