Tianmin Shu

Tianmin Shu

I am the director of the Social Cognitive AI (SCAI) Lab and an Assistant Professor in the Department of Computer Science at Johns Hopkins University. I also hold a courtesy appointment with the Deparment of Cognitive Science. My research goal is to advance human-centered AI by engineering machine social intelligence to build socially intelligent systems that can understand, reason about, and interact with humans in real-world settings. I approach this from an interdisciplinary perspective, connecting machine learning, computer vision, robotics, and social cognition to study machine social intelligence. Before joining JHU, I was a Research Scientist at MIT working with Josh Tenenbaum and Antonio Torralba.

Office: Malone Hall 213   Email: tianmin.shu [at] jhu.edu

Google Scholar

News

06/2026: Invited talk at CVPR 2026 Workshop on Embodied Reasoning in Action.

04/2026: Invited talk at UMass Amherst.

04/2026: Invited talk at UVA.

10/2025: Invited talk at ICCV 2025 Workshop on Artificial Social Intelligence.

09/2025: Invited talk at CoRL 2025 Workshop on Resource-Rational Robot Learning.

08/2025: Invited talk at the Computation and Cognition Conference, Dalhousie University.

08/2025: Invited talk at Google.

07/2025: Invited talk at CogSci 2025 Workshop on Putting it together: Interactions between domains of cognition.

06/2025: Invited talk at CVS.

06/2025: Invited talk at CVPR 2025 Workshop on Humanoid Agents.

05/2025: Invited talk at Amazon.

11/2024: Guest lecture for EN.601.670: Artificial Agents at JHU.

10/2024: Invited talk in the Psychological and Brain Sciences Colloqium at JHU.

09/2024: Invited talk at JHU IAA Seminar.

08/2024: Our work on MMToM-QA received the Outstanding Paper Award at ACL 2024.

07/2024: Co-organized RSS Workshop on Social Intelligence in Humans and Robots.

07/2024: Invited talk at Utrecht University.

Reseach Highlights

For more recent research, please check out my lab website.

Theory of Mind Reasoning

Embodied Assistance / Multi-agent Cooperation

Imitation & Social Learning

Social Scene Understanding

Computational Social Cognition