Tianmin Shu

Tianmin Shu

I am an Assistant Professor in the Department of Computer Science at Johns Hopkins University. I also hold a joint 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 / Thesis


12/2023: NeurIPS 2023 Tutorial on Language Models Meet World Models.

07/2023: Our work on test-time policy diagnosis & adaptation was covered by MIT News.

07/2023: Invited talk in the Cognitive-AI Benchmarking workshop at CogSci 2023.

07/2023: Co-organized RSS Workshop on Social Intelligence in Humans and Robots.

03/2023: Invited talk in the Social Cognitive Neuroscience Lab at the University of Iowa.

12/2022: Invited talk in the Computational Cognition, Vision, and Learning Group at Johns Hopkins University.

10/2022: Invited talk at Robotics Seminar, University of New Hampshire.

10/2022: Co-organized ECCV Workshop on Machine Visual Common Sense.

07/2022: Invited talk at Columbia University, Johns Hopkins University, and University of Maryland.

07/2022: Co-organized RSS Workshop on Social Intelligence in Humans and Robots.

Reseach Highlights

Theory of Mind Reasoning

Social Scene Understanding

Embodied Assistance / Multi-agent Cooperation

Imitation & Human-in-the-Loop Learning

Computational Social Cognition