| Learning Personalized Itemset Mapping for Cross-Domain Recommendation Y Zhang, Y Liu, P Han, C Miao, L Cui, B Li, H Tang International Joint Conferences on Artificial Intelligence (IJCAI), 2020 | 38 | 2020 |
| Diversity-promoting deep reinforcement learning for interactive recommendation Y Liu, Z Shen, Y Zhang, L Cui 5th International Conference on Crowd Science and Engineering, 132-139, 2021 | 36 | 2021 |
| Learning hierarchical review graph representations for recommendation Y Liu, S Yang, Y Zhang, C Miao, Z Nie, J Zhang IEEE Transactions on Knowledge and Data Engineering 35 (1), 658-671, 2021 | 29 | 2021 |
| Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems Y Zhang, B Li, Y Liu, H Wang, C Miao ACM SIGKDD International Conference on Knowledge Discovery and Data Mining …, 2021 | 11 | 2021 |
| Crowd-enabled pareto-optimal objects finding employing multi-pairwise-comparison questions C Liu, Y Zhang, L Liu, L Cui, D Yuan, C Miao Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 3 | 2017 |
| Capturing popularity trends: A simplistic non-personalized approach for enhanced item recommendation J Jing, Y Zhang, X Zhou, Z Shen Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 2 | 2023 |
| Minimalist and High-performance Conversational Recommendation with Uncertainty Estimation for User Preference Y Zhang, B Li, Y Liu, Y You, C Miao arXiv preprint arXiv:2206.14468, 2022 | 2 | 2022 |
| CrowdMerge: achieving optimal crowdsourcing quality management by sequent merger Y Zhang, L Cui, J Huang, C Miao Proceedings of the 3rd International Conference on Crowd Science and …, 2018 | 2 | 2018 |
| Transferable and curious AI in sequential recommendation Y Zhang Nanyang Technological University, 2023 | | 2023 |
