Chaoqi Wang - RankMe

33 papers A* 7A 3Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Simultaneous identification of a contamination source and hydraulic conductivity based on a multimodal direct forward machine learning model. Environ. Model. Softw. Yan Zhu, Zhi Dou, Chaoqi Wang, Meng Chen, Yun Yang, Jinguo Wang
2025	J	`jnl`	Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment. CoRR Chaoqi Wang, Zhuokai Zhao, Yibo Jiang, Zhaorun Chen, Chen Zhu, Yuxin Chen, Jiayi Liu, Lizhu Zhang, Xiangjun Fan, Hao Ma, Sinong Wang
2025	J	`jnl`	Grounded Persuasive Language Generation for Automated Marketing. CoRR Jibang Wu, Chenghao Yang, Simon Mahns, Chaoqi Wang, Hao Zhu, Fei Fang, Haifeng Xu
2024	A*	`conf`	Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints. ICLR Chaoqi Wang, Yibo Jiang, Chenghao Yang, Han Liu, Yuxin Chen
2024	A	`conf`	Don't Be Pessimistic Too Early: Look K Steps Ahead! AISTATS Chaoqi Wang, Ziyu Ye, Kevin Murphy, Yuxin Chen
2024	J	`jnl`	GRAPE: Generalizing Robot Policy via Preference Alignment. CoRR Zijian Zhang, Kaiyuan Zheng, Zhaorun Chen, Joel Jang, Yi Li, Chaoqi Wang, Mingyu Ding, Dieter Fox, Huaxiu Yao
2024	J	`jnl`	MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation? CoRR Zhaorun Chen, Yichao Du, Zichen Wen, Yiyang Zhou, Chenhang Cui, Zhenzhen Weng, Haoqin Tu, Chaoqi Wang, Zhengwei Tong, Qinglan Huang, Canyu Chen, Qinghao Ye, Zhihong Zhu, Yuqing Zhang, Jiawei Zhou, Zhuokai Zhao, Rafael Rafailov, Chelsea Finn, Huaxiu Yao
2024	A	`conf`	Model-based Policy Optimization under Approximate Bayesian Inference. AISTATS Chaoqi Wang, Yuxin Chen, Kevin Murphy
2024	J	`jnl`	Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following. CoRR Yun He, Di Jin, Chaoqi Wang, Chloe Bi, Karishma Mandyam, Hejia Zhang, Chen Zhu, Ning Li, Tengyu Xu, Hongjiang Lv, Shruti Bhosale, Chenguang Zhu, Karthik Abinav Sankararaman, Eryk Helenowski, Melanie Kambadur, Aditya Tayade, Hao Ma, Han Fang, Sinong Wang
2024	J	`jnl`	Preference Optimization with Multi-Sample Comparisons. CoRR Chaoqi Wang, Zhuokai Zhao, Chen Zhu, Karthik Abinav Sankararaman, Michal Valko, Xuefei Cao, Zhaorun Chen, Madian Khabsa, Yuxin Chen, Hao Ma, Sinong Wang
2024	J	`jnl`	Radar Target Radar Cross-Section Measurement Based on Enhanced Imaging and Scattering Center Extraction. Sensors Xin Tan, Chaoqi Wang, Yang Fang, Bai Wu, Dongyan Zhao, Jiansheng Hu
2024	J	`jnl`	Target imaging technology of wireless orbital communication radar. Int. J. Grid Util. Comput. Xin Tan, Chaoqi Wang, Mingwei Wang, Wenyuan Liu, Xianghui Wang
2023	A*	`conf`	Active Policy Improvement from Multiple Black-box Oracles. ICML Xuefeng Liu, Takuma Yoneda, Chaoqi Wang, Matthew R. Walter, Yuxin Chen
2023	J	`jnl`	Active Policy Improvement from Multiple Black-box Oracles. CoRR Xuefeng Liu, Takuma Yoneda, Chaoqi Wang, Matthew R. Walter, Yuxin Chen
2023	J	`jnl`	Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints. CoRR Chaoqi Wang, Yibo Jiang, Chenghao Yang, Han Liu, Yuxin Chen
2023	A*	`conf`	Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts. NeurIPS Chaoqi Wang, Ziyu Ye, Zhe Feng, Ashwinkumar Badanidiyuru Varadaraja, Haifeng Xu
2023	J	`jnl`	Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts. CoRR Chaoqi Wang, Ziyu Ye, Zhe Feng, Ashwinkumar Badanidiyuru, Haifeng Xu
2021	A	`conf`	Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations? AISTATS Chaoqi Wang, Shengyang Sun, Roger B. Grosse
2021	—	`conf`	Research on Intelligent Question Answering algorithm based on machine learning. EITCE Lei Sun, Xiwei Feng, Pengcheng Hua, Chi Zhao, Chaoqi Wang, Wei Hou
2021	A*	`conf`	Teaching an Active Learner with Contrastive Examples. NeurIPS Chaoqi Wang, Adish Singla, Yuxin Chen
2021	J	`jnl`	Teaching an Active Learner with Contrastive Examples. CoRR Chaoqi Wang, Adish Singla, Yuxin Chen
2020	J	`jnl`	Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations? CoRR Chaoqi Wang, Shengyang Sun, Roger B. Grosse
2020	A*	`conf`	Picking Winning Tickets Before Training by Preserving Gradient Flow. ICLR Chaoqi Wang, Guodong Zhang, Roger B. Grosse
2020	J	`jnl`	Picking Winning Tickets Before Training by Preserving Gradient Flow. CoRR Chaoqi Wang, Guodong Zhang, Roger Baker Grosse
2019	J	`jnl`	A Literature Review: Geometric Methods and Their Applications in Human-Related Analysis. Sensors Wenjuan Gong, Bin Zhang, Chaoqi Wang, Hanbing Yue, Chuantao Li, Linjie Xing, Yu Qiao, Weishan Zhang, Faming Gong
2019	—	`conf`	Concurrent Probabilistic Motion Primitives for Obstacle Avoidance and Human-Robot Collaboration. ICIRA (6) Jian Fu, Chaoqi Wang, Jinyu Du, Fan Luo
2019	A*	`conf`	EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis. ICML Chaoqi Wang, Roger B. Grosse, Sanja Fidler, Guodong Zhang
2019	J	`jnl`	EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis. CoRR Chaoqi Wang, Roger B. Grosse, Sanja Fidler, Guodong Zhang
2019	—	`conf`	Three Mechanisms of Weight Decay Regularization. ICLR (Poster) Guodong Zhang, Chaoqi Wang, Bowen Xu, Roger B. Grosse
2018	A*	`conf`	Differentiable Compositional Kernel Learning for Gaussian Processes. ICML Shengyang Sun, Guodong Zhang, Chaoqi Wang, Wenyuan Zeng, Jiaman Li, Roger B. Grosse
2018	J	`jnl`	Differentiable Compositional Kernel Learning for Gaussian Processes. CoRR Shengyang Sun, Guodong Zhang, Chaoqi Wang, Wenyuan Zeng, Jiaman Li, Roger B. Grosse
2018	J	`jnl`	Three Mechanisms of Weight Decay Regularization. CoRR Guodong Zhang, Chaoqi Wang, Bowen Xu, Roger B. Grosse
2017	J	`jnl`	A Revisit on Deep Hashings for Large-scale Content Based Image Retrieval. CoRR Deng Cai, Xiuye Gu, Chaoqi Wang