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Zhibing Zhao
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2020 – today
- 2024
- [c13]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: 1-6 - 2023
- [c12]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: 3168-3181 - [c11]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 - [i9]Xianghong Xu, Zhibing Zhao, Tieying Zhang, Rong Kang, Luming Sun, Jianjun Chen:
COOOL: A Learning-To-Rank Approach for SQL Hint Recommendations. CoRR abs/2304.04407 (2023) - 2022
- [c10]Zhibing Zhao, Ao Liu, Lirong Xia:
Learning Mixtures of Random Utility Models with Features from Incomplete Preferences. IJCAI 2022: 3780-3786 - 2021
- [j1]Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu:
Dual Learning: Theoretical Study and an Algorithmic Extension. SN Comput. Sci. 2(5): 413 (2021) - 2020
- [b1]Zhibing Zhao:
Efficient preference learning for AI-powered group decision-making. Rensselaer Polytechnic Institute, USA, 2020 - [c9]Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu:
Dual Learning: Theoretical Study and an Algorithmic Extension. ACML 2020: 321-336 - [i8]Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu:
Dual Learning: Theoretical Study and an Algorithmic Extension. CoRR abs/2005.08238 (2020) - [i7]Zhibing Zhao, Lirong Xia:
Learning Mixtures of Plackett-Luce Models with Features from Top-$l$ Orders. CoRR abs/2006.03869 (2020)
2010 – 2019
- 2019
- [c8]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: 2189-2196 - [c7]Ao Liu, Zhibing Zhao, Chao Liao, Pinyan Lu, Lirong Xia:
Learning Plackett-Luce Mixtures from Partial Preferences. AAAI 2019: 4328-4335 - [c6]Zhibing Zhao, Lirong Xia:
Learning Mixtures of Plackett-Luce Models from Structured Partial Orders. NeurIPS 2019: 10143-10153 - [i6]Jun Wang, Sujoy Sikdar, Tyler Shepherd, Zhibing Zhao, Chunheng Jiang, Lirong Xia:
Practical Algorithms for Multi-Stage Voting Rules with Parallel Universes Tiebreaking. CoRR abs/1901.09791 (2019) - [i5]Zhibing Zhao, Lirong Xia:
Learning Mixtures of Plackett-Luce Models from Structured Partial Orders. CoRR abs/1910.11721 (2019) - 2018
- [c5]Zhibing Zhao, Tristan Villamil, Lirong Xia:
Learning Mixtures of Random Utility Models. AAAI 2018: 4530-4538 - [c4]Zhibing Zhao, Lirong Xia:
Composite Marginal Likelihood Methods for Random Utility Models. ICML 2018: 5917-5926 - [c3]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: 446-456 - [i4]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 abs/1805.05287 (2018) - [i3]Jun Wang, Sujoy Sikdar, Tyler Shepherd, Zhibing Zhao, Chunheng Jiang, Lirong Xia:
Practical Algorithms for STV and Ranked Pairs with Parallel Universes Tiebreaking. CoRR abs/1805.06992 (2018) - [i2]Zhibing Zhao, Lirong Xia:
Composite Marginal Likelihood Methods for Random Utility Models. CoRR abs/1806.01426 (2018) - 2016
- [c2]Zhibing Zhao, Peter Piech, Lirong Xia:
Learning Mixtures of Plackett-Luce Models. ICML 2016: 2906-2914 - [i1]Zhibing Zhao, Peter Piech, Lirong Xia:
Learning Mixtures of Plackett-Luce models. CoRR abs/1603.07323 (2016)
2000 – 2009
- 2008
- [c1]JianFeng Xu, Chuanhua Huang, Zhibing Zhao:
Association Rule Tree Algorithm Based on Binary Information Granules. CW 2008: 701-704
Coauthor Index
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