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Ruochen Wang

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


About Me

I am a 4th-year Ph.D. student at UCLA with Prof. Cho-Jui Hsieh and a Student Researcher at Google Research (Ads ML) working on advancing the state of LLMs, hosted by Prof. Inderjit S. Dhillon, Felix Yu and Si Si.

I founded and am leading ARC - an AIGC Research Collaboration based off several labs to pursue targeted topics in Multimodal Language Agents. The goal is to leverage the power of LLMs to automatize and enhance content generation and task solving ability of foundation models. Our team involves ~10 determined researchers, including several Professors, PhDs and MS students. 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

I study the problem of AI for AI. The goal is to leverage the power of AI agents to automatize the development of itself. For the past years, I have mainly focused on the following areas:

Outreach

Highlighted News

Experiences (Selected)

Publications (1st author)

  1. Arxiv
    Ruochen Wang*, Sohyun An*, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-jui Hsieh (*Equal Contribution)
    (Arxiv), 2023.

  2. Arxiv
    Ruochen Wang, Ting Liu, Cho-jui Hsieh, Boqing Gong
    (Arxiv), 2023.

  3. Arxiv
    Justin Cui, Ruochen Wang, Yuanhao Xiong, Cho-jui Hsieh
    (Arxiv), 2023.

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

  5. 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.

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

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

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

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

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

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

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

Something personal

In my leisure time, I enjoy reading books and learning about swordsmanship. I am student of Tenshin Shōden Katori Shintō-ryū (天真正傳香取神道流), with a lineage from the main branch founded by Otake Shihan (大竹利典師範).


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