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Chong Liu

Affiliations:
  • State University of New York at Albany (SUNY Albany), Department of Computer Science, Albany, NY, USA


According to our database1, Chong Liu authored at least 11 papers between 2018 and 2025.

Collaborative distances:

Timeline

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On csauthors.net:

Bibliography

2025
No-Regret Linear Bandits under Gap-Adjusted Misspecification.
[BibTeX]
[DOI]
Chong Liu
,
Dan Qiao
,
Ming Yin
,
Ilija Bogunovic
,
Yu-Xiang Wang
CoRR, January, 2025

Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation.
[BibTeX]
[DOI]
Diantong Li
,
Fengxue Zhang
,
Chong Liu
,
Yuxin Chen
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
Binding Affinity Prediction: From Conventional to Machine Learning-Based Approaches.
[BibTeX]
[DOI]
Xuefeng Liu
,
Songhao Jiang
,
Xiaotian Duan
,
Archit Vasan
,
Chong Liu
,
Chih-chan Tien
,
Heng Ma
,
Thomas S. Brettin
,
Fangfang Xia
,
Ian T. Foster
,
Rick L. Stevens
CoRR, 2024

Communication-Efficient Federated Non-Linear Bandit Optimization.
[BibTeX]
[DOI]
Chuanhao Li
,
Chong Liu
,
Yu-Xiang Wang
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Adaptive Sequential Decision Making: Bandit Optimization and Active Learning
[BibTeX]
[DOI]
Chong Liu
PhD thesis, 2023

Human-in-the-Loop Video Semantic Segmentation Auto-Annotation.
[BibTeX]
[DOI]
Nan Qiao
,
Yuyin Sun
,
Chong Liu
,
Lu Xia
,
Jiajia Luo
,
Ke Zhang
,
Cheng-Hao Kuo
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

No-Regret Linear Bandits beyond Realizability.
[BibTeX]
[DOI]
Chong Liu
,
Ming Yin
,
Yu-Xiang Wang
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Global Optimization with Parametric Function Approximation.
[BibTeX]
[DOI]
Chong Liu
,
Yu-Xiang Wang
Proceedings of the International Conference on Machine Learning, 2023

2022
Doubly Robust Crowdsourcing.
[BibTeX]
[DOI]
Chong Liu
,
Yu-Xiang Wang
J. Artif. Intell. Res., 2022

2021
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning.
[BibTeX]
[DOI]
Chong Liu
,
Yuqing Zhu
,
Kamalika Chaudhuri
,
Yu-Xiang Wang
J. Mach. Learn. Res., 2021

2018
Dual Set Multi-Label Learning.
[BibTeX]
[DOI]
Chong Liu
,
Peng Zhao
,
Sheng-Jun Huang
,
Yuan Jiang
,
Zhi-Hua Zhou
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018


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