About

I am a first-year Ph.D. student in Computer Science at Johns Hopkins University, advised by Tianmin Shu. I’m also a research intern in the Fundamental AI Research (FAIR) team at Meta, mentored by Jason Weston.

I received my B.A. in Honors Computer Science and B.A. in Mathematics from New York University in 2024, where I was awared the Computer Science Prize for the Most Promising Student. I have also spent time as a research intern at MIT. I received an Outstanding Paper Award at ACL 2024 for my work on multimodal Theory of Mind.

I love working on exciting and game-changing research problems. My current areas of focus include:

Continual Reasoning about Humans: Developing AI systems that can continuously perceive, understand, reason about, and respond to the behavior and cognition of humans or other agents.
Continual Learning from Humans: Building AI that continuously learns from human interactions—either through direct demonstrations, communications, proactive feedback, or collaboration.

Besides academics, I enjoy playing Go, piano, badminton, hiking, and so much more.

News

  • [Apr, 2025] Co-organizing the Workshop on Continual Robot Learning from Humans at RSS 2025. Submit your paper by May 22, and join us via Zoom or in person on June 21!
  • [Feb, 2025] Introducing AutoToM: a method for scaling model-based mental inference via automated agent modeling (Arxiv, Twitter).
  • [Jan, 2025] MuMA-ToM was accepted at AAAI 2025 as an Oral Presentation!
  • [Oct, 2024] MMToM-QA was covered by Futurity, Synced, and JHU News.
  • [Sep, 2024] Invited talk @ University of Washinton on “Towards Multimodal Theory of Mind”.
  • [Aug, 2024] MMToM-QA won the Outstanding Paper Award at ACL 2024!

Selected Publications

(* denotes equal contribution; † denotes project lead)
For a more complete list, please see my publication page or Google Scholar page.

publication teaser
AutoToM : Automated Bayesian Inverse Planning and
Model Discovery for Open-ended Theory of Mind

Zhining Zhang*, Chuanyang Jin*†, Mung Yao Jia*, Tianmin Shu
Preprint
paper / project / code
publication teaser
OS-Genesis: Automating GUI Agent Trajectory
Construction via Reverse Task Synthesis

Qiushi Sun*, Kanzhi Cheng*, Zichen Ding*, Chuanyang Jin*, Yian Wang, Fangzhi Xu, Zhenyu Wu, Chengyou Jia, Liheng Chen, Zhoumianze Liu, Ben Kao, Guohao Li, Junxian He, Yu Qiao, Zhiyong Wu
ACL 2025
paper / project / code
publication teaser
MuMA-ToM: Multi-modal Multi-Agent Theory of Mind
Haojun Shi*, Suyu Ye*, Xinyu Fang, Chuanyang Jin, Leyla Isik, Yen-Ling Kuo, Tianmin Shu
AAAI 2025 (Oral)
paper / project / code
MMToM-QA: Multimodal Theory of Mind Question Answering
Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer Ullman, Antonio Torralba, Joshua Tenenbaum, Tianmin Shu
ACL 2024 (Outstanding Paper Award)
paper / project / code / slides / news
publication teaser
How Far Are We From AGI?
Tao Feng*, Chuanyang Jin*, Jingyu Liu*, Kunlun Zhu*, Haoqin Tu, Zirui Cheng, Guanyu Lin, Jiaxuan You
TMLR 2024 / ICLR 2024 AGI Workshop (Oral)
paper / project

You can also take a look at my undergrad projects. A mountain of gratitude to those who have kindly mentored me and inspired me with their vision and passion!

Selected Honors & Awards

  • Notable Reviewer, ICLR 2025
  • Outstanding Paper Award, ACL 2024
  • Presidential Honors Scholar and Summa cum Laude, New York University (Top 5%), 2024
  • Computer Science Prize for the Most Promising Student, New York University (1 person/year), 2023
  • Dean’s Undergraduate Research Fund, New York University, 2023
  • COMAP International Scholarship Award (Top 0.1%), 2022
  • MAA Award in Mathematical Contest in Modeling (Top 0.1%), 2022
  • Bronze Medal of Shing-Tung Yau Computer Science Award (Top 1%), 2019
  • Finalist of FIRST Robotics Competition World Championship (Top 0.2%), 2019
  • NFLS Outstanding Student Leader Award and Zhou Enlai Scholarship (Top 1%), 2018
  • First Prize of Chinese Mathematical Olympiad (Top 0.1%), 2018

© 2023 Chuanyang Jin. All rights reserved.
Powered by Hydejack v9.1.6