Publication
- Xianghong Xu, Zhibing Zhao, Tieying Zhang, Rong Kang, Luming Sun, and Jianjun Chen, COOOL: A Learning-To-Rank Approach for SQL Hint Recommendations. In 5th International Workshop on Applied AI for Database Systems and Applications (AIDB 2023).
- Luming Sun, Shijin Gong, Tieying Zhang, Fuxin Jiang, Zhibing Zhao, Jianjun Chen, and Xinyu Zhang, SUFS: A Generic Storage Usage Forecasting Service Through Adaptive Ensemble Learning. In Proceedings of the 39th IEEE International Conference on Data Engineering (ICDE 2023) (Industry and Applications Track).
- Zhibing Zhao, Ao Liu, and Lirong Xia, Learning Mixtures of Random Utility Models with Features from Incomplete Preferences, in Proceedings of the 31st International Joint Conference on Artificial Intelligence, 2022.
- Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, and Tie-Yan Liu, Dual Learning: Theoretical Study and an Algorithmic Extension, SN Computer Science, 2021.
- Zhibing Zhao, Efficient Preference Learning for AI-Powered Group Decision-Making, Ph.D. dissertation, 2020.
- Zhibing Zhao and Lirong Xia, Learning Mixtures of Plackett-Luce Models from Structured Partial Orders, in Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS-2019).[poster][code]
- Ao Liu, Zhibing Zhao, Chao Liao, Pinyan Lu, and Lirong Xia, Learning Plackett-Luce Mixtures from Partial Preferences, in Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-2019).
- Jun Wang, Sujoy Sikdar, Tyler Shepherd, Zhibing Zhao, Chunheng Jiang, and Lirong Xia. Practical Algorithms for STV and Ranked Pairs with Parallel Universes Tiebreaking, in Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-2019).
- Zhibing Zhao, Haoming Li, Junming Wang, Jeffrey Kephart, Nicholas Mattei, Hui Su, and Lirong Xia. "A Cost-Effective Framework for Preference Elicitation and Aggregation", in Proceedings of the 34th Conference on Uncertainty in Artifical Intelligence (UAI-2018).
- Zhibing Zhao and Lirong Xia, "Composite Marginal Likelihood Methods for Random Utility Models", in Proceedings of the 35th International Conference on Machine Learning (ICML-2018). [Supplementary PDF] and [arXiv full version].
- Zhibing Zhao, Tristan Villamil, and Lirong Xia, "Learning Mixtures of Random Utility Models", in Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-2018).
- Zhibing Zhao, Peter Piech, and Lirong Xia, "Learning mixtures of Plackett-Luce models"[Supplementary Materials], In Proceedings of the 33rd International Conference on Machine Learning (ICML-2016). [arXiv version]
- Taofeek Orekan, Zhibing Zhao, Peng Zhang, Jian Zhang, Shengli Zhou, and Jun-Hong Cui, "Maximum lifecycle tracking for tidal energy generation system", Electric Power Components and Systems, 2015.
- Zhibing Zhao, "Life-oriented controller design in ocean tidal power applications". Master's Thesis, 2014.
- Gengfeng Li, Peng Zhang, Peter B. Luh, Wenyuan Li, Zhaohong Bie, Camilo Serna, and Zhibing Zhao, " Risk analysis for distribution systems in the Northeast U. S. under wind storms", IEEE Transactions on Power Systems, March 2014.
- Zhibing Zhao, Peng Zhang, Jun-Hong Cui, and Shengli Zhou, "Life-oriented control of tidal power generation", OCEANS, 2013.
- Zhibing Zhao, Yongdong Li, and Bo Dong, "Modeling and control strategy for cascade bi-directional DC/DC converter in Microgrid", Power Electronics and Motion Control Conference (IPEMC), 2012.
- Mo Li, Jiansheng Yuan, and Zhibing Zhao, "Low-voltage SPD coordination analysis ", 2011 7th Asia-Pacific International Conference on Lightning, 2011.