Yuexiang Zhai - RankMe

34 papers A* 11Journal 21Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs. AAAI Chun-Hsiao Yeh, Chenyu Wang, Shengbang Tong, Ta Ying Cheng, Ruoyu Wang, Tianzhe Chu, Yuexiang Zhai, Yubei Chen, Shenghua Gao, Yi Ma
2025	A*	`conf`	LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models. ICML Marwa Abdulhai, Isadora White, Charlie Victor Snell, Charles Sun, Joey Hong, Yuexiang Zhai, Kelvin Xu, Sergey Levine
2025	A*	`conf`	SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training. ICML Tianzhe Chu, Yuexiang Zhai, Jihan Yang, Shengbang Tong, Saining Xie, Dale Schuurmans, Quoc V. Le, Sergey Levine, Yi Ma
2025	J	`jnl`	SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training. CoRR Tianzhe Chu, Yuexiang Zhai, Jihan Yang, Shengbang Tong, Saining Xie, Dale Schuurmans, Quoc V. Le, Sergey Levine, Yi Ma
2025	J	`jnl`	Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs. CoRR Chun-Hsiao Yeh, Chenyu Wang, Shengbang Tong, Ta Ying Cheng, Ruoyu Wang, Tianzhe Chu, Yuexiang Zhai, Yubei Chen, Shenghua Gao, Yi Ma
2024	—	`conf`	Closed-Loop Transcription via Convolutional Sparse Coding. CPAL Xili Dai, Ke Chen, Shengbang Tong, Jingyuan Zhang, Xingjian Gao, Mingyang Li, Druv Pai, Yuexiang Zhai, Xiaojun Yuan, Heung-Yeung Shum, Lionel M. Ni, Yi Ma
2024	A*	`conf`	Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs. CVPR Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, Saining Xie
2024	J	`jnl`	Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs. CoRR Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, Saining Xie
2024	J	`jnl`	Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning. CoRR Yuexiang Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Shengbang Tong, Yifei Zhou, Alane Suhr, Saining Xie, Yann LeCun, Yi Ma, Sergey Levine
2024	—	`conf`	Investigating the Catastrophic Forgetting in Multimodal Large Language Model Fine-Tuning. CPAL Yuexiang Zhai, Shengbang Tong, Xiao Li, Mu Cai, Qing Qu, Yong Jae Lee, Yi Ma
2024	J	`jnl`	Is Offline Decision Making Possible with Only Few Samples? Reliable Decisions in Data-Starved Bandits via Trust Region Enhancement. CoRR Ruiqi Zhang, Yuexiang Zhai, Andrea Zanette
2024	A*	`conf`	RLIF: Interactive Imitation Learning as Reinforcement Learning. ICLR Jianlan Luo, Perry Dong, Yuexiang Zhai, Yi Ma, Sergey Levine
2024	J	`jnl`	White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is? J. Mach. Learn. Res. Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Hao Bai, Yuexiang Zhai, Benjamin D. Haeffele, Yi Ma
2023	J	`jnl`	Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning. CoRR Mitsuhiko Nakamoto, Yuexiang Zhai, Anikait Singh, Max Sobol Mark, Yi Ma, Chelsea Finn, Aviral Kumar, Sergey Levine
2023	J	`jnl`	Closed-Loop Transcription via Convolutional Sparse Coding. CoRR Xili Dai, Ke Chen, Shengbang Tong, Jingyuan Zhang, Xingjian Gao, Mingyang Li, Druv Pai, Yuexiang Zhai, Xiaojun Yuan, Heung-Yeung Shum, Lionel M. Ni, Yi Ma
2023	J	`jnl`	Investigating the Catastrophic Forgetting in Multimodal Large Language Models. CoRR Yuexiang Zhai, Shengbang Tong, Xiao Li, Mu Cai, Qing Qu, Yong Jae Lee, Yi Ma
2023	J	`jnl`	LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models. CoRR Marwa Abdulhai, Isadora White, Charlie Snell, Charles Sun, Joey Hong, Yuexiang Zhai, Kelvin Xu, Sergey Levine
2023	J	`jnl`	RLIF: Interactive Imitation Learning as Reinforcement Learning. CoRR Jianlan Luo, Perry Dong, Yuexiang Zhai, Yi Ma, Sergey Levine
2023	A*	`conf`	Understanding the Complexity Gains of Single-Task RL with a Curriculum. ICML Qiyang Li, Yuexiang Zhai, Yi Ma, Sergey Levine
2023	J	`jnl`	White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is? CoRR Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Hao Bai, Yuexiang Zhai, Benjamin D. Haeffele, Yi Ma
2022	J	`jnl`	Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning. J. Artif. Intell. Res. Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma
2022	J	`jnl`	Understanding the Complexity Gains of Single-Task RL with a Curriculum. CoRR Qiyang Li, Yuexiang Zhai, Yi Ma, Sergey Levine
2022	A*	`conf`	Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity. NeurIPS Abhishek Gupta, Aldo Pacchiano, Yuexiang Zhai, Sham M. Kakade, Sergey Levine
2022	J	`jnl`	Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity. CoRR Abhishek Gupta, Aldo Pacchiano, Yuexiang Zhai, Sham M. Kakade, Sergey Levine
2021	J	`jnl`	Computational Benefits of Intermediate Rewards for Hierarchical Planning. CoRR Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma
2021	A*	`conf`	Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training. NeurIPS Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu
2021	J	`jnl`	Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training. CoRR Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu
2020	J	`jnl`	Complete Dictionary Learning via L4-Norm Maximization over the Orthogonal Group. J. Mach. Learn. Res. Yuexiang Zhai, Zitong Yang, Zhenyu Liao, John Wright, Yi Ma
2020	A*	`conf`	Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning. ICLR Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang, Zhihui Zhu
2020	A*	`conf`	Understanding l4-based Dictionary Learning: Interpretation, Stability, and Robustness. ICLR Yuexiang Zhai, Hermish Mehta, Zhengyuan Zhou, Yi Ma
2019	J	`jnl`	Analysis of the Optimization Landscapes for Overcomplete Representation Learning. CoRR Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang, Zhihui Zhu
2019	J	`jnl`	Complete Dictionary Learning via 𝓁 CoRR Yuexiang Zhai, Zitong Yang, Zhenyu Liao, John Wright, Yi Ma
2019	A*	`conf`	Learning to Reconstruct 3D Manhattan Wireframes From a Single Image. ICCV Yichao Zhou, Haozhi Qi, Yuexiang Zhai, Qi Sun, Zhili Chen, Li-Yi Wei, Yi Ma
2019	J	`jnl`	Learning to Reconstruct 3D Manhattan Wireframes from a Single Image. CoRR Yichao Zhou, Haozhi Qi, Yuexiang Zhai, Qi Sun, Zhili Chen, Li-Yi Wei, Yi Ma