Scholar
Tianmin Shu
Google Scholar ID: YT_ffdwAAAAJ
Assistant Professor, JHU
Citations & Impact
Citations
2,708
H-index
23
i10-index
34
Publications
20
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- Publications: - MMToM-QA: Multimodal Theory of Mind Question Answering (ACL 2024)
- - Neural Amortized Inference for Nested Multi-agent Reasoning (AAAI 2024)
- - AGENT: A Benchmark for Core Psychological Reasoning (ICML 2021)
- - Human intention and trajectory prediction (TPAMI 2018)
- - Building Cooperative Embodied Agents Modularly with LLMs (ICLR 2024)
- - NOPA: Neurally-guided Online Probabilistic Assistance (ICRA 2023)
- - Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration (ICLR 2021)
- - Mind-aware Multi-agent Management Reinforcement Learning (ICLR 2019)
- - Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human Input (ICML 2024)
- - Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning (ICML 2022)
- - Transferring human interactions to human-robot interactions (ICRA 2017)
- - Learning social affordances and synthesizing human skeleton sequences of social interactions (IJCAI 2016)
- - PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception (AAAI 2021)
- - Energy-based modeling for group activity recognition (CVPR 2017)
- - Reasoning groups, relations, and social roles from aerial videos (CVPR 2015)
- - Perceiving Social Interactions Under Physical Dynamics (CogSci 2020)
- - Joint modeling of human perception of physical and social events (CogSci 2019)
- - Physical-Social Forces (PSF) Modeling (Cognitive Psychology, 2021)
- - Inferring human interaction from motion trajectories (CogSci 2017, Topics in Cognitive Science 2018)
- Awards: Outstanding Paper Award for MMToM-QA at ACL 2024.
Research Experience
- Worked as a Research Scientist at MIT, collaborating with Josh Tenenbaum and Antonio Torralba; Currently, Director of the Social Cognitive AI (SCAI) Lab at JHU.
Education
- No specific educational background information provided.
Background
- Research Interests: Advancing 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. Professional Field: Computer Science, Cognitive Science. Brief Introduction: Assistant Professor in the Department of Computer Science at Johns Hopkins University, with a joint appointment in the Department of Cognitive Science.
Miscellany
- No personal interests or other miscellaneous information provided.
