| Regularizing matrix factorization with user and item embeddings for recommendation T Tran, K Lee, Y Liao, D Lee Proceedings of the 27th ACM international conference on information and …, 2018 | 81 | 2018 |
| Rethinking incentives in recommender systems: are monotone rewards always beneficial? F Yao, C Li, KA Sankararaman, Y Liao, Y Zhu, Q Wang, H Wang, H Xu Advances in Neural Information Processing Systems 36, 74582-74601, 2023 | 14 | 2023 |
| Understanding temporal backing patterns in online crowdfunding communities Y Liao, T Tran, D Lee, K Lee Proceedings of the 2017 ACM on web science conference, 369-378, 2017 | 8 | 2017 |
| WILSON: A Divide and Conquer Approach for Fast and Effective News Timeline Summarization Y Liao, S Wang, D Lee International Conference on Extending Database Technology (EDBT), 2021 | 6 | 2021 |
| User welfare optimization in recommender systems with competing content creators F Yao, Y Liao, M Wu, C Li, Y Zhu, J Yang, J Liu, Q Wang, H Xu, H Wang Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 5 | 2024 |
| Characterization and early detection of evergreen news articles Y Liao, S Wang, EH Han, J Lee, D Lee Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 5 | 2019 |
| Unveiling user satisfaction and creator productivity trade-offs in recommendation platforms F Yao, Y Liao, J Liu, S Nie, Q Wang, H Xu, H Wang arXiv preprint arXiv:2410.23683, 2024 | 3 | 2024 |
| Pathfinder: Graph-based itemset embedding for learning course recommendation and beyond J Zhang, T Le, Y Liao, D Lee 2019 International Conference on Data Mining Workshops (ICDMW), 1122-1125, 2019 | 3 | 2019 |
| Techniques for prediction of long-term popularity of digital media S Wang, EH Han, D Lee, Y Liao US Patent App. 16/419,826, 2019 | 1 | 2019 |
| Characterization, Understanding, and Prediction of Temporal Dynamics of Web Contents Y Liao | | 2020 |
