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2020 – today
- 2024
[j3]Xin Tan, Chaoqi Wang, Mingwei Wang, Wenyuan Liu, Xianghui Wang:
Target imaging technology of wireless orbital communication radar. Int. J. Grid Util. Comput. 15(1): 31-43 (2024)- [j2]Xin Tan, Chaoqi Wang, Yang Fang
, Bai Wu, Dongyan Zhao, Jiansheng Hu:
Radar Target Radar Cross-Section Measurement Based on Enhanced Imaging and Scattering Center Extraction. Sensors 24(19): 6315 (2024) - [c12]Chaoqi Wang, Yuxin Chen, Kevin Murphy:
Model-based Policy Optimization under Approximate Bayesian Inference. AISTATS 2024: 3250-3258 - [c11]Chaoqi Wang, Ziyu Ye, Kevin Murphy, Yuxin Chen:
Don't Be Pessimistic Too Early: Look K Steps Ahead! AISTATS 2024: 3313-3321 - [c10]Chaoqi Wang, Yibo Jiang, Chenghao Yang, Han Liu, Yuxin Chen:
Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints. ICLR 2024 - [i11]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:
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation? CoRR abs/2407.04842 (2024) - 2023
- [c9]Xuefeng Liu, Takuma Yoneda, Chaoqi Wang, Matthew R. Walter, Yuxin Chen:
Active Policy Improvement from Multiple Black-box Oracles. ICML 2023: 22320-22337 - [c8]Chaoqi Wang, Ziyu Ye, Zhe Feng, Ashwinkumar Badanidiyuru Varadaraja, Haifeng Xu:
Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts. NeurIPS 2023 - [i10]Xuefeng Liu, Takuma Yoneda, Chaoqi Wang, Matthew R. Walter, Yuxin Chen:
Active Policy Improvement from Multiple Black-box Oracles. CoRR abs/2306.10259 (2023) - [i9]Chaoqi Wang, Ziyu Ye, Zhe Feng, Ashwinkumar Badanidiyuru, Haifeng Xu:
Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts. CoRR abs/2309.13896 (2023) - [i8]Chaoqi Wang, Yibo Jiang, Chenghao Yang, Han Liu, Yuxin Chen:
Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints. CoRR abs/2309.16240 (2023) - 2021
- [c7]Chaoqi Wang, Shengyang Sun, Roger B. Grosse:
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations? AISTATS 2021: 2476-2484 - [c6]Lei Sun, Xiwei Feng, Pengcheng Hua, Chi Zhao, Chaoqi Wang, Wei Hou:
Research on Intelligent Question Answering algorithm based on machine learning. EITCE 2021: 963-966 - [c5]Chaoqi Wang, Adish Singla, Yuxin Chen:
Teaching an Active Learner with Contrastive Examples. NeurIPS 2021: 17968-17980 - [i7]Chaoqi Wang, Adish Singla, Yuxin Chen:
Teaching an Active Learner with Contrastive Examples. CoRR abs/2110.14888 (2021) - 2020
- [c4]Chaoqi Wang, Guodong Zhang, Roger B. Grosse:
Picking Winning Tickets Before Training by Preserving Gradient Flow. ICLR 2020 - [i6]Chaoqi Wang, Guodong Zhang, Roger Baker Grosse:
Picking Winning Tickets Before Training by Preserving Gradient Flow. CoRR abs/2002.07376 (2020) - [i5]Chaoqi Wang, Shengyang Sun, Roger B. Grosse:
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations? CoRR abs/2011.03178 (2020)
2010 – 2019
- 2019
- [j1]Wenjuan Gong, Bin Zhang, Chaoqi Wang, Hanbing Yue, Chuantao Li, Linjie Xing, Yu Qiao, Weishan Zhang, Faming Gong:
A Literature Review: Geometric Methods and Their Applications in Human-Related Analysis. Sensors 19(12): 2809 (2019) - [c3]Guodong Zhang, Chaoqi Wang, Bowen Xu, Roger B. Grosse:
Three Mechanisms of Weight Decay Regularization. ICLR (Poster) 2019 - [c2]Chaoqi Wang, Roger B. Grosse, Sanja Fidler, Guodong Zhang:
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis. ICML 2019: 6566-6575 - [i4]Chaoqi Wang, Roger B. Grosse, Sanja Fidler, Guodong Zhang:
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis. CoRR abs/1905.05934 (2019) - 2018
- [c1]Shengyang Sun, Guodong Zhang, Chaoqi Wang, Wenyuan Zeng, Jiaman Li, Roger B. Grosse:
Differentiable Compositional Kernel Learning for Gaussian Processes. ICML 2018: 4835-4844 - [i3]Shengyang Sun, Guodong Zhang, Chaoqi Wang, Wenyuan Zeng, Jiaman Li, Roger B. Grosse:
Differentiable Compositional Kernel Learning for Gaussian Processes. CoRR abs/1806.04326 (2018) - [i2]Guodong Zhang, Chaoqi Wang, Bowen Xu, Roger B. Grosse:
Three Mechanisms of Weight Decay Regularization. CoRR abs/1810.12281 (2018) - 2017
- [i1]Deng Cai, Xiuye Gu, Chaoqi Wang:
A Revisit on Deep Hashings for Large-scale Content Based Image Retrieval. CoRR abs/1711.06016 (2017)
Coauthor Index
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