Chong Liu - RankMe

19 papers A* 3A 4Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation. AISTATS Diantong Li, Fengxue Zhang, Chong Liu, Yuxin Chen
2025	J	`jnl`	No-Regret Linear Bandits under Gap-Adjusted Misspecification. CoRR Chong Liu, Dan Qiao, Ming Yin, Ilija Bogunovic, Yuxiang Wang
2025	J	`jnl`	None To Optima in Few Shots: Bayesian Optimization with MDP Priors. CoRR Diantong Li, Kyunghyun Cho, Chong Liu
2024	J	`jnl`	Binding Affinity Prediction: From Conventional to Machine Learning-Based Approaches. CoRR 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
2024	A*	`conf`	Communication-Efficient Federated Non-Linear Bandit Optimization. ICLR Chuanhao Li, Chong Liu, Yu-Xiang Wang
2024	J	`jnl`	Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation. CoRR Diantong Li, Fengxue Zhang, Chong Liu, Yuxin Chen
2023	—	`—`	Adaptive Sequential Decision Making: Bandit Optimization and Active Learning Chong Liu
2023	J	`jnl`	Communication-Efficient Federated Non-Linear Bandit Optimization. CoRR Chuanhao Li, Chong Liu, Yu-Xiang Wang
2023	A*	`conf`	Global Optimization with Parametric Function Approximation. ICML Chong Liu, Yu-Xiang Wang
2023	A	`conf`	Human-in-the-Loop Video Semantic Segmentation Auto-Annotation. WACV Nan Qiao, Yuyin Sun, Chong Liu, Lu Xia, Jiajia Luo, Ke Zhang, Cheng-Hao Kuo
2023	A	`conf`	No-Regret Linear Bandits beyond Realizability. UAI Chong Liu, Ming Yin, Yu-Xiang Wang
2023	J	`jnl`	No-Regret Linear Bandits beyond Realizability. CoRR Chong Liu, Ming Yin, Yu-Xiang Wang
2022	J	`jnl`	Doubly Robust Crowdsourcing. J. Artif. Intell. Res. Chong Liu, Yu-Xiang Wang
2022	J	`jnl`	Global Optimization with Parametric Function Approximation. CoRR Chong Liu, Yu-Xiang Wang
2021	A	`conf`	Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning. AISTATS Chong Liu, Yuqing Zhu, Kamalika Chaudhuri, Yu-Xiang Wang
2021	J	`jnl`	Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning. J. Mach. Learn. Res. Chong Liu, Yuqing Zhu, Kamalika Chaudhuri, Yu-Xiang Wang
2020	J	`jnl`	Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning. CoRR Chong Liu, Yuqing Zhu, Kamalika Chaudhuri, Yu-Xiang Wang
2019	J	`jnl`	Doubly Robust Crowdsourcing. CoRR Chong Liu, Yu-Xiang Wang
2018	A*	`conf`	Dual Set Multi-Label Learning. AAAI Chong Liu, Peng Zhao, Sheng-Jun Huang, Yuan Jiang, Zhi-Hua Zhou