Dual Set Multi-Label Learning. - Chong Liu 007; Peng Zhao 006; Sheng-Jun Huang; Yuan Jiang 001; Zhi-Hua Zhou (AAAI, 2018)

Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning. - Chong Liu 007; Yuqing Zhu 005; Kamalika Chaudhuri; Yu-Xiang Wang 003 (J. Mach. Learn. Res., 2021)

Doubly Robust Crowdsourcing. - Chong Liu 007; Yu-Xiang Wang 003 (J. Artif. Intell. Res., 2022)

Global Optimization with Parametric Function Approximation. - Chong Liu 007; Yu-Xiang Wang 003 (ICML, 2023)

No-Regret Linear Bandits beyond Realizability. - Chong Liu 007; Ming Yin 003; Yu-Xiang Wang 003 (UAI, 2023)

Human-in-the-Loop Video Semantic Segmentation Auto-Annotation. - Nan Qiao 009; Yuyin Sun; Chong Liu 007; Lu Xia; Jiajia Luo; Ke Zhang; Cheng-Hao Kuo (WACV, 2023)

Adaptive Sequential Decision Making: Bandit Optimization and Active Learning - Chong Liu 007 (2023)

Communication-Efficient Federated Non-Linear Bandit Optimization. - Chuanhao Li; Chong Liu 007; Yu-Xiang Wang 003 (ICLR, 2024)

Binding Affinity Prediction: From Conventional to Machine Learning-Based Approaches. - Xuefeng Liu; Songhao Jiang; Xiaotian Duan; Archit Vasan; Chong Liu 007; Chih-chan Tien; Heng Ma; Thomas S. Brettin; Fangfang Xia; Ian T. Foster; Rick L. Stevens (CoRR, 2024)

Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation. - Diantong Li; Fengxue Zhang; Chong Liu 007; Yuxin Chen (AISTATS, 2025)

No-Regret Linear Bandits under Gap-Adjusted Misspecification. - Chong Liu 007; Dan Qiao; Ming Yin; Ilija Bogunovic; Yu-Xiang Wang (CoRR, 2025)