About Me
I am the founder and current principal of TurningPoint AI Research focus on multimodal agents (no we are not yet a startup) and a final-year Ph.D. at UCLA with Prof. Cho-Jui Hsieh. I am also a long-term Student Researcher at Google working with Prof. Inderjit S. Dhillon, Felix Yu, Boqing Gong, and Ting Liu.
I was the 1st-author recepient of the Outstanding Paper Award at ICLR.
I received my B.S. in Computer Science and Statistics at the University of Michigan, with the highest distinction.
I am interested in Venture Capitalism.
Research Background (selected)
My goal is to build highly automatized, reliable and self-evolving multimodal language agents. Some technologies I worked on include:
- LLM-era: Instruction finetuning and prompt optimization of (M)LLMs, controllable generation and alignment of Diffusion models, MLLM safety, reasoning and agent finetuning.
- Pre-LLM-era: Efficient and automated ML, including AutoML and Dataset Compression.
Awards (selected)
- Outstanding Paper Award, ICLR 2021, 04/2021.
- Outstanding Graduate Student (1 per department), UCLA CS Department, 05/2022.
- Award of Excellence, Microsoft Research Asia (MSRA), 09/2019.
- Highest Distinction Graduate Award, The University of Michigan, 08/2019.
- Berkeley Fung’s Excellence Scholarship, UC Berkeley Graduate Admission Committee, 03/2019.
- Outstanding Intern Award, SenseTime, 01/2019.
- James B. Angell Scholar, The University of Michigan, 2017-2019.
Outreach
-
[TurningPoint AI] TPAI is a multi-lab research collaboration dedicated to exploring key technologies in building reliable multimodal foundational agents (involving MLLMs and Diffusion Models). We are a compact but hardcore team aims at pushing the boundary of state-of-the-art academic research, and eventually commercialize the results. For more information, please visit our website.
-
[Work] I am open to industrial opportunities (Corporate Research Team, VC, Startups) focus on building and commericializing next generation AIGC technologies. If you are in VC/Startup business or leading a corporate research team, I’d be delighted to have a chat with you.
Experiences (Selected)
-
TurningPoint AI Research - Founder & Principal (Aug 2023 - Present)
Areas: Multimodal Agents
Advisory Board: Tianyi Zhou, Minhao Cheng, Cho-Jui Hsieh
Project Leads: Yuanhao Ban, Xirui Li, Hengguang Zhou, Yihang Chen, Sohyun An, Licheng Lan, Andrew Bai
-
Google Research @AdsML - Student Researcher (Oct 2023 - Present)
Prompting and instruction finetuning of (Multimodal) Large Language Models
Hosts: Inderjit S. Dhillon, Felix Yu, Si Si, Cho-Jui Hsieh
-
Google Research - Student Researcher (May 2022 - 2023)
Text-to-Image Diffusion Models, Efficient Transformers
Host: Ting Liu & Boqing Gong
-
Microsoft Research Asia (2019)
Neural Architecture Search
Host: Kai Chen
Publications
-
Arxiv
Xirui Li, Hengguang Zhou*, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Cho-Jui Hsie
(Arxiv), 2024.
-
Arxiv
Ruochen Wang, Si Si, Felix Yu, Dorothea Wiesmann, Cho-Jui Hsieh, Inderjit Dhillon
(Arxiv), 2024.
PDF
Code
Work done at Google, Under Review
-
Arxiv
Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Boqing Gong, Cho-Jui Hsieh, Minhao Cheng
(Arxiv), 2024
PDF
TurningPoint AI, Under Review
-
Arxiv
Kuei-Chun Kao, Ruochen Wang, Cho-Jui Hsieh
(Arxiv), 2024.
-
Arxiv
Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Boqing Gong, Cho-Jui Hsieh
(Arxiv), 2024.
PDF
TurningPoint AI, Under Review
-
Arxiv
Sen Li, Ruochen Wang, Cho-Jui Hsieh, Minhao Cheng, Tianyi Zhou
(Arxiv), 2024.
-
Arxiv
Xirui Li, Ruochen Wang, Minhao Cheng, Tianyi Zhou, Cho-Jui Hsieh
(Arxiv), 2024.
-
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.
-
ICML
Ruochen Wang, Ting Liu, Cho-jui Hsieh, Boqing Gong
The International Conference on Machine Learning (ICML), 2024.
-
ICML
Justin Cui, Ruochen Wang, Yuanhao Xiong, Cho-jui Hsieh
The International Conference on Machine Learning (ICML), 2024.
-
ICML
Justin Cui, Ruochen Wang, Si Si, Cho-jui Hsieh
The International Conference on Machine Learning (ICML), 2023.
-
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.
-
NeurIPS
Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh
Advances in Neural Information Processing Systems (NeurIPS), 2022.
-
NeurIPS
Ruochen Wang, Yuanhao Xiong, Minghao Cheng, Cho-Jui Hsieh
Advances in Neural Information Processing Systems (NeurIPS), 2022.
-
ICLR
Shoukang Hu*, Ruochen Wang*, Lanqing Hong, Zhenguo Li, Cho-Jui Hsieh, Jiashi Feng (*Equal Contribution)
The International Conference on Learning Representations (ICLR), 2022.
-
ICLR
Yuanhao Xiong, Li-Cheng Lan, Xiangning Chen, Ruochen Wang, Cho-Jui Hsieh
The International Conference on Learning Representations (ICLR), 2022.
-
ICCV
Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh
The IEEE / CVF International Conference on Computer Vision (ICCV), 2021.
-
ICLR
Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh
The International Conference on Learning Representations (ICLR), 2021.
PDF
Code
Outstanding Paper Award (1/8)
-
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. I am a student of Katori Shintō-Ryū (天真正伝香取神道流), the ealiest comprehensive Japanese martial art system that has been passed down by 23 Shihans(师范)since 600 year ago.
Powered by Jekyll and Minimal Light theme.