Yi Ma (马毅)

Yi Ma (马毅)

University of California, Berkeley

H-index: 82

North America-United States

About Yi Ma (马毅)

Yi Ma (马毅), With an exceptional h-index of 82 and a recent h-index of 53 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of Computer Vision, Compressed Sensing, Machine Learning, Signal Processing, Robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Eyes wide shut? exploring the visual shortcomings of multimodal llms

A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning

Investigating the Catastrophic Forgetting in Multimodal Large Language Model Fine-Tuning

Reining Generalization in Offline Reinforcement Learning via Representation Distinction

System and method for extracting planar surface from depth image

White-box transformers via sparse rate reduction

Cal-ql: Calibrated offline rl pre-training for efficient online fine-tuning

Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback

Yi Ma (马毅) Information

University

Position

Professor of EECS

Citations(all)

72750

Citations(since 2020)

27328

Cited By

57566

hIndex(all)

82

hIndex(since 2020)

53

i10Index(all)

214

i10Index(since 2020)

153

Email

University Profile Page

University of California, Berkeley

Google Scholar

View Google Scholar Profile

Yi Ma (马毅) Skills & Research Interests

Computer Vision

Compressed Sensing

Machine Learning

Signal Processing

Robotics

Top articles of Yi Ma (马毅)

Title

Journal

Author(s)

Publication Date

Eyes wide shut? exploring the visual shortcomings of multimodal llms

arXiv preprint arXiv:2401.06209

Shengbang Tong

Zhuang Liu

Yuexiang Zhai

Yi Ma

Yann LeCun

...

2024/1/11

A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning

Jinyi Liu

Yi Ma

Jianye Hao

Yujing Hu

Yan Zheng

...

2024/5/6

Investigating the Catastrophic Forgetting in Multimodal Large Language Model Fine-Tuning

Yuexiang Zhai

Shengbang Tong

Xiao Li

Mu Cai

Qing Qu

...

2024/1/8

Reining Generalization in Offline Reinforcement Learning via Representation Distinction

Advances in Neural Information Processing Systems

Yi Ma

Hongyao Tang

Dong Li

Zhaopeng Meng

2024/2/13

System and method for extracting planar surface from depth image

2024/1/2

White-box transformers via sparse rate reduction

Advances in Neural Information Processing Systems

Yaodong Yu

Sam Buchanan

Druv Pai

Tianzhe Chu

Ziyang Wu

...

2024/2/13

Cal-ql: Calibrated offline rl pre-training for efficient online fine-tuning

Neural Information Processing Systems (NeurIPS)

Mitsuhiko Nakamoto

Yuexiang Zhai

Anikait Singh

Max Sobol Mark

Yi Ma

...

2023/3/9

Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback

arXiv preprint arXiv:2402.02423

Yifu Yuan

Jianye Hao

Yi Ma

Zibin Dong

Hebin Liang

...

2024/2/4

ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles

Kai Zhao

Jianye Hao

Yi Ma

Jinyi Liu

Yan Zheng

...

2024/5/6

Emp-ssl: Towards self-supervised learning in one training epoch

arXiv preprint arXiv:2304.03977

Shengbang Tong

Yubei Chen

Yi Ma

Yann Lecun

2023/4/8

Improving Offline-to-Online Reinforcement Learning with Q-Ensembles

Kai Zhao

Yi Ma

Jinyi Liu

HAO Jianye

Yan Zheng

...

2023/7/9

Ensemble-based offline-to-online reinforcement learning: From pessimistic learning to optimistic exploration

arXiv preprint arXiv:2306.06871

Kai Zhao

Yi Ma

Jinyi Liu

Yan Zheng

Zhaopeng Meng

2023/6/12

Iteratively Refined Behavior Regularization for Offline Reinforcement Learning

Xiaohan Hu

Yi Ma

Chenjun Xiao

Yan Zheng

HAO Jianye

2023/10/13

General in-hand object rotation with vision and touch

Conference on Robot Learning (CoRL)

Haozhi Qi

Brent Yi

Sudharshan Suresh

Mike Lambeta

Yi Ma

...

2023/9/18

In-hand object rotation via rapid motor adaptation

Haozhi Qi

Ashish Kumar

Roberto Calandra

Yi Ma

Jitendra Malik

2022/12

A Policy-Decoupled Method for High-Quality Data Augmentation in Offline Reinforcement Learning

Shixi Lian

Yi Ma

Jinyi Liu

HAO Jianye

Yan Zheng

...

2023/7/9

HIPODE: Enhancing Offline Reinforcement Learning with High-Quality Synthetic Data from a Policy-Decoupled Approach

arXiv preprint arXiv:2306.06329

Shixi Lian

Yi Ma

Jinyi Liu

Yan Zheng

Zhaopeng Meng

2023/6/10

Rethinking Decision Transformer via Hierarchical Reinforcement Learning

Yi Ma

Chenjun Xiao

Hebin Liang

HAO Jianye

2023/10/13

Masked Completion via Structured Diffusion with White-Box Transformers

Druv Pai

Ziyang Wu

Sam Buchanan

Tianzhe Chu

Yaodong Yu

...

2023/12/1

Closed-loop transcription via convolutional sparse coding

arXiv preprint arXiv:2302.09347

Xili Dai

Ke Chen

Shengbang Tong

Jingyuan Zhang

Xingjian Gao

...

2023/2/18

See List of Professors in Yi Ma (马毅) University(University of California, Berkeley)

Co-Authors

H-index: 183
Thomas S. Huang

Thomas S. Huang

University of Illinois at Urbana-Champaign

H-index: 139
Shankar Sastry

Shankar Sastry

University of California, Berkeley

H-index: 104
Emmanuel Candes

Emmanuel Candes

Stanford University

H-index: 94
Stefano Soatto

Stefano Soatto

University of California, Los Angeles

H-index: 85
Rene Vidal

Rene Vidal

Johns Hopkins University

H-index: 76
Zhouchen Lin

Zhouchen Lin

Peking University

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