Liu, Chong

22 publications

ICLR 2026 PoseX: AI Defeats Physics-Based Methods on Protein Ligand Cross-Docking Yize Jiang, Xinze Li, Yuanyuan Zhang, Jin Han, Youjun Xu, Ayush Pandit, Zaixi Zhang, Mengdi Wang, Mengyang Wang, Chong Liu, Guang Yang, Yejin Choi, Yingzhou Lu, Wu-Jun Li, Tianfan Fu, Fang Wu, Junhong Liu

UAI 2025 Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient? Hwanwoo Kim, Chong Liu, Yuxin Chen

AAAI 2025 Black-Box Optimization with Implicit Constraints for Public Policy Wenqian Xing, Jungho Lee, Chong Liu, Shixiang Zhu

AISTATS 2025 Constrained Multi-Objective Bayesian Optimization Through Optimistic Constraints Estimation Diantong Li, Fengxue Zhang, Chong Liu, Yuxin Chen

ICLR 2025 Rational Decision-Making Agent with Learning Internal Utility Judgment Yining Ye, Xin Cong, Shizuo Tian, Yujia Qin, Chong Liu, Yankai Lin, Zhiyuan Liu, Maosong Sun

ICLR 2024 Communication-Efficient Federated Non-Linear Bandit Optimization Chuanhao Li, Chong Liu, Yu-Xiang Wang

NeurIPSW 2024 Constrained Multi-Objective Bayesian Optimization Diantong Li, Fengxue Zhang, Chong Liu, Yuxin Chen

NeurIPS 2024 High Rank Path Development: An Approach to Learning the Filtration of Stochastic Processes Jiajie Tao, Hao Ni, Chong Liu

AAAI 2023 Dialogue State Distillation Network with Inter-Slot Contrastive Learning for Dialogue State Tracking Jing Xu, Dandan Song, Chong Liu, Siu Cheung Hui, Fei Li, Qiang Ju, Xiaonan He, Jian Xie

ECML-PKDD 2023 Future Augmentation with Self-Distillation in Recommendation Chong Liu, Ruobing Xie, Xiaoyang Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Juntao Li, Feng Xia, Leyu Lin

ICML 2023 Global Optimization with Parametric Function Approximation Chong Liu, Yu-Xiang Wang

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

UAI 2023 No-Regret Linear Bandits Beyond Realizability Chong Liu, Ming Yin, Yu-Xiang Wang

JAIR 2022 Doubly Robust Crowdsourcing Chong Liu, Yu-Xiang Wang

AISTATS 2021 Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning Chong Liu, Yuqing Zhu, Kamalika Chaudhuri, Yu-Xiang Wang

CVPRW 2021 An Empirical Study of Vehicle Re-Identification on the AI City Challenge Hao Luo, Weihua Chen, Xianzhe Xu, Jianyang Gu, Yuqi Zhang, Chong Liu, Yiqi Jiang, Shuting He, Fan Wang, Hao Li

CVPRW 2021 City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones Chong Liu, Yuqi Zhang, Hao Luo, Jiasheng Tang, Weihua Chen, Xianzhe Xu, Fan Wang, Hao Li, Yi-Dong Shen

NeurIPS 2021 Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes Cristopher Salvi, Maud Lemercier, Chong Liu, Blanka Horvath, Theodoros Damoulas, Terry Lyons

JMLR 2021 Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning Chong Liu, Yuqing Zhu, Kamalika Chaudhuri, Yu-Xiang Wang

ICCV 2021 Vision-Language Navigation with Random Environmental Mixup Chong Liu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang, Zongyuan Ge, Yi-Dong Shen

CVPR 2020 Unity Style Transfer for Person Re-Identification Chong Liu, Xiaojun Chang, Yi-Dong Shen

AAAI 2018 Dual Set Multi-Label Learning Chong Liu, Peng Zhao, Sheng-Jun Huang, Yuan Jiang, Zhi-Hua Zhou