Zhibing Zhao

Orcid: 0000-0001-6473-8205

According to our database1, Zhibing Zhao authored at least 15 papers between 2008 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
COOOL: A Learning-To-Rank Approach for SQL Hint Recommendations.
Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

SUFS: A Generic Storage Usage Forecasting Service Through Adaptive Ensemble Learning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Learning Mixtures of Random Utility Models with Features from Incomplete Preferences.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Dual Learning: Theoretical Study and an Algorithmic Extension.
SN Comput. Sci., 2021

2020
Efficient preference learning for AI-powered group decision-making.
PhD thesis, 2020

Learning Mixtures of Plackett-Luce Models with Features from Top-$l$ Orders.
CoRR, 2020

2019
Learning Mixtures of Plackett-Luce Models from Structured Partial Orders.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Practical Algorithms for Multi-Stage Voting Rules with Parallel Universes Tiebreaking.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Learning Plackett-Luce Mixtures from Partial Preferences.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Practical Algorithms for STV and Ranked Pairs with Parallel Universes Tiebreaking.
CoRR, 2018

A Cost-Effective Framework for Preference Elicitation and Aggregation.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Composite Marginal Likelihood Methods for Random Utility Models.
Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Mixtures of Random Utility Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016
Learning Mixtures of Plackett-Luce Models.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2008
Association Rule Tree Algorithm Based on Binary Information Granules.
Proceedings of the International Conference on Cyberworlds 2008, 2008


  Loading...