| 2023 | ICDE | SUFS: A Generic Storage Usage Forecasting Service Through Adaptive Ensemble Learning. | Luming Sun, Shijin Gong, Tieying Zhang, Fuxin Jiang, Zhibing Zhao, Jianjun Chen, Xinyu Zhang |
| 2023 | VLDB | COOOL: A Learning-To-Rank Approach for SQL Hint Recommendations. | Xianghong Xu, Zhibing Zhao, Tieying Zhang, Rong Kang, Luming Sun, Jianjun Chen |
| 2022 | IJCAI | Learning Mixtures of Random Utility Models with Features from Incomplete Preferences. | Zhibing Zhao, Ao Liu, Lirong Xia |
| 2020 | ACML | Dual Learning: Theoretical Study and an Algorithmic Extension. | Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu |
| 2019 | AAAI | Learning Plackett-Luce Mixtures from Partial Preferences. | Ao Liu, Zhibing Zhao, Chao Liao, Pinyan Lu, Lirong Xia |
| 2019 | AAAI | Practical Algorithms for Multi-Stage Voting Rules with Parallel Universes Tiebreaking. | Jun Wang, Sujoy Sikdar, Tyler Shepherd, Zhibing Zhao, Chunheng Jiang, Lirong Xia |
| 2018 | AAAI | Learning Mixtures of Random Utility Models. | Zhibing Zhao, Tristan Villamil, Lirong Xia |
| 2018 | ICML | Composite Marginal Likelihood Methods for Random Utility Models. | Zhibing Zhao, Lirong Xia |
| 2018 | UAI | A Cost-Effective Framework for Preference Elicitation and Aggregation. | Zhibing Zhao, Haoming Li, Junming Wang, Jeffrey O. Kephart, Nicholas Mattei, Hui Su, Lirong Xia |
| 2016 | ICML | Learning Mixtures of Plackett-Luce Models. | Zhibing Zhao, Peter Piech, Lirong Xia |
| 2008 | CW | Association Rule Tree Algorithm Based on Binary Information Granules. | JianFeng Xu, Chuanhua Huang, Zhibing Zhao |