Zhibing Zhao

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 22

Top Topics

Marginal Likelihood

Preference Elicitation

Top Venues

Publications

Sen Wang, Borun Li, Tingting Zhang, Jian Wang, Zhibing Zhao, De-Wen Zhang
Gesture Recognition: A Comprehensive Approach Using Electrical Impedance Tomography for Whole-Arm Monitoring. I2MTC (2024)
Luming Sun, Shijin Gong, Tieying Zhang, Fuxin Jiang, Zhibing Zhao, Jianjun Chen, Xinyu Zhang
SUFS: A Generic Storage Usage Forecasting Service Through Adaptive Ensemble Learning. ICDE (2023)
Xianghong Xu, Zhibing Zhao, Tieying Zhang, Rong Kang, Luming Sun, Jianjun Chen
COOOL: A Learning-To-Rank Approach for SQL Hint Recommendations. VLDB Workshops (2023)
Xianghong Xu, Zhibing Zhao, Tieying Zhang, Rong Kang, Luming Sun, Jianjun Chen
COOOL: A Learning-To-Rank Approach for SQL Hint Recommendations. CoRR (2023)
Zhibing Zhao, Ao Liu, Lirong Xia
Learning Mixtures of Random Utility Models with Features from Incomplete Preferences. IJCAI (2022)
Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu
Dual Learning: Theoretical Study and an Algorithmic Extension. SN Comput. Sci. 2 (5) (2021)
Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu
Dual Learning: Theoretical Study and an Algorithmic Extension. CoRR (2020)
Zhibing Zhao, Lirong Xia
Learning Mixtures of Plackett-Luce Models with Features from Top-$l$ Orders. CoRR (2020)
Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu
Dual Learning: Theoretical Study and an Algorithmic Extension. ACML (2020)
Ao Liu, Zhibing Zhao, Chao Liao, Pinyan Lu, Lirong Xia
Learning Plackett-Luce Mixtures from Partial Preferences. AAAI (2019)
Jun Wang, Sujoy Sikdar, Tyler Shepherd, Zhibing Zhao, Chunheng Jiang, Lirong Xia
Practical Algorithms for Multi-Stage Voting Rules with Parallel Universes Tiebreaking. CoRR (2019)
Jun Wang, Sujoy Sikdar, Tyler Shepherd, Zhibing Zhao, Chunheng Jiang, Lirong Xia
Practical Algorithms for Multi-Stage Voting Rules with Parallel Universes Tiebreaking. AAAI (2019)
Zhibing Zhao, Lirong Xia
Learning Mixtures of Plackett-Luce Models from Structured Partial Orders. NeurIPS (2019)
Zhibing Zhao, Lirong Xia
Learning Mixtures of Plackett-Luce Models from Structured Partial Orders. CoRR (2019)
Zhibing Zhao, Tristan Villamil, Lirong Xia
Learning Mixtures of Random Utility Models. AAAI (2018)
Zhibing Zhao, Haoming Li, Junming Wang, Jeffrey O. Kephart, Nicholas Mattei, Hui Su, Lirong Xia
A Cost-Effective Framework for Preference Elicitation and Aggregation. UAI (2018)
Jun Wang, Sujoy Sikdar, Tyler Shepherd, Zhibing Zhao, Chunheng Jiang, Lirong Xia
Practical Algorithms for STV and Ranked Pairs with Parallel Universes Tiebreaking. CoRR (2018)
Zhibing Zhao, Lirong Xia
Composite Marginal Likelihood Methods for Random Utility Models. CoRR (2018)
Zhibing Zhao, Haoming Li, Junming Wang, Jeffrey O. Kephart, Nicholas Mattei, Hui Su, Lirong Xia
A Cost-Effective Framework for Preference Elicitation and Aggregation. CoRR (2018)
Zhibing Zhao, Lirong Xia
Composite Marginal Likelihood Methods for Random Utility Models. ICML (2018)
Zhibing Zhao, Peter Piech, Lirong Xia
Learning Mixtures of Plackett-Luce models. CoRR (2016)
Zhibing Zhao, Peter Piech, Lirong Xia
Learning Mixtures of Plackett-Luce Models. ICML (2016)
JianFeng Xu, Chuanhua Huang, Zhibing Zhao
Association Rule Tree Algorithm Based on Binary Information Granules. CW (2008)