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Ruochen Wang

Ph.D. Student
UCLA & Google
ruocwang@g.ucla.edu


About Me

(This site will be deprecated soon)
I am a final-year Ph.D. student at UCLA with Prof. Cho-Jui Hsieh, and am the founder and current principal of ARC Group - an AIGC Research Collaboration aims at exploring core technologies in multimodal language agent, and eventually productizing the results. I am also serving as a long-term Student Researcher at Google Research (Ads ML) working on LLM automation, hosted by Prof. Inderjit S. Dhillon, Felix Yu and Si Si.

Prior to the era of LLM, I worked on AutoML and Dataset Compression. I was the recepient of the Outstanding Paper Award at ICLR 2021. Besides research, I am also interested in venture capital and entrepreneurial opportunities.

I obtained my B.S. degree (dual) in Computer Science and Statistics from the University of Michigan, with the highest distinction. During this period, I interned at Microsoft Research and Sensetime on machine learning and computer vision, as well as helped a startup to develop its prototype robots. Prior to that, I worked on quantitative investing at Shanghai Key Laboratory of Finance.

Research Overview

My research aims to enable self-improving AI, i.e., to leverage the power of AI Agents to automatize the development & deployment of themselves. To achieve this goal, I founded AIGC Research Collaboration (ARC), a multi-lab research team focused on developing highly automated and trustworthy Multimodal Language Agents.

Outreach

Highlighted News

Experiences (Selected)

Publications (1st author)

  1. Arxiv
    Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Boqing Gong, Cho-Jui Hsieh
    (Arxiv), 2024.

  2. Arxiv
    Sen Li, Ruochen Wang, Cho-Jui Hsieh, Minhao Cheng, Tianyi Zhou
    (Arxiv), 2024.

  3. Arxiv
    Xirui Li, Ruochen Wang, Minhao Cheng, Tianyi Zhou, Cho-Jui Hsieh
    (Arxiv), 2024.

  4. ICML
    Ruochen Wang*, Sohyun An*, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-jui Hsieh (*Equal Contribution)
    The International Conference on Machine Learning (ICML), 2024.

  5. ICML
    Ruochen Wang, Ting Liu, Cho-jui Hsieh, Boqing Gong
    The International Conference on Machine Learning (ICML), 2024.

  6. ICML
    Justin Cui, Ruochen Wang, Yuanhao Xiong, Cho-jui Hsieh
    The International Conference on Machine Learning (ICML), 2024.

  7. ICML
    Justin Cui, Ruochen Wang, Si Si, Cho-jui Hsieh
    The International Conference on Machine Learning (ICML), 2023.

  8. CVPR
    Yuanhao Xiong*, Ruochen Wang*, Minhao Cheng, Felix Yu, Cho-Jui Hsieh (*Equal Contribution)
    The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023.

  9. NeurIPS
    Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh
    Advances in Neural Information Processing Systems (NeurIPS), 2022.

  10. NeurIPS
    Ruochen Wang, Yuanhao Xiong, Minghao Cheng, Cho-Jui Hsieh
    Advances in Neural Information Processing Systems (NeurIPS), 2022.

  11. ICLR
    Shoukang Hu*, Ruochen Wang*, Lanqing Hong, Zhenguo Li, Cho-Jui Hsieh, Jiashi Feng (*Equal Contribution)
    The International Conference on Learning Representations (ICLR), 2022.

  12. ICLR
    Yuanhao Xiong, Li-Cheng Lan, Xiangning Chen, Ruochen Wang, Cho-Jui Hsieh
    The International Conference on Learning Representations (ICLR), 2022.

  13. ICCV
    Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh
    The IEEE / CVF International Conference on Computer Vision (ICCV), 2021.

  14. ICLR
    Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh
    The International Conference on Learning Representations (ICLR), 2021.

  15. ICLR
    Xiangning Chen*, Ruochen Wang*, Minhao Cheng*, Xiaocheng Tang, Cho-Jui Hsieh (*Equal Contribution)
    The International Conference on Learning Representations (ICLR), 2021.

Something personal

Currently, my interests are centered around a diverse reading habit and practicing swordsmanship:


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