Tianmin Shu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
13
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | RealWebAssist: A Benchmark for Long-Horizon Web Assistance with Real-World Users. | Suyu Ye, Haojun Shi, Darren Shih, Hyokun Yun, Tanya G. Roosta, Tianmin Shu |
| 2026 | ACL | ProToM: Promoting Prosocial Behaviour via Theory of Mind-Informed Feedback. | Matteo Bortoletto, Yichao Zhou, Lance Ying, Tianmin Shu, Andreas Bulling |
| 2025 | AAAI | MuMA-ToM: Multi-modal Multi-Agent Theory of Mind. | Haojun Shi, Suyu Ye, Xinyu Fang, Chuanyang Jin, Leyla Isik, Yen-Ling Kuo, Tianmin Shu |
| 2025 | ACL | Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation. | Qiyue Gao, Xinyu Pi, Kevin Liu, Junrong Chen, Ruolan Yang, Xinqi Huang, Xinyu Fang, Lu Sun, Gautham Kishore, Bo Ai, Stone Tao, Mengyang Liu, Jiaxi Yang, Chao-Jung Lai, Chuanyang Jin, Jiannan Xiang, Benhao Huang, Zeming Chen, David Danks, Hao Su, Tianmin Shu, Ziqiao Ma, Lianhui Qin, Zhiting Hu |
| 2025 | ICLR | GenEx: Generating an Explorable World. | Taiming Lu, Tianmin Shu, Alan L. Yuille, Daniel Khashabi, Jieneng Chen |
| 2025 | ICLR | COMBO: Compositional World Models for Embodied Multi-Agent Cooperation. | Hongxin Zhang, Zeyuan Wang, Qiushi Lyu, Zheyuan Zhang, Sunli Chen, Tianmin Shu, Behzad Dariush, Kwonjoon Lee, Yilun Du, Chuang Gan |
| 2024 | AAAI | Neural Amortized Inference for Nested Multi-Agent Reasoning. | Kunal Jha, Tuan Anh Le, Chuanyang Jin, Yen-Ling Kuo, Joshua B. Tenenbaum, Tianmin Shu |
| 2024 | ACL | MMToM-QA: Multimodal Theory of Mind Question Answering. | Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu |
| 2024 | ICLR | Building Cooperative Embodied Agents Modularly with Large Language Models. | Hongxin Zhang, Weihua Du, Jiaming Shan, Qinhong Zhou, Yilun Du, Joshua B. Tenenbaum, Tianmin Shu, Chuang Gan |
| 2024 | ICML | Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human Input. | Andi Peng, Yuying Sun, Tianmin Shu, David Abel |
| 2024 | IROS | GOMA: Proactive Embodied Cooperative Communication via Goal-Oriented Mental Alignment. | Lance Ying, Kunal Jha, Shivam Aarya, Joshua B. Tenenbaum, Antonio Torralba, Tianmin Shu |
| 2024 | ICRA | Risk-Bounded Online Team Interventions via Theory of Mind. | Yuening Zhang, Paul Robertson, Tianmin Shu, Sungkweon Hong, Brian C. Williams |
| 2023 | AAAI | Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs. | Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu |
| 2023 | ICLR | Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning. | Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Curtis Mozer, Nicolas Heess, Yoshua Bengio |
| 2023 | ICML | Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation. | Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal |
| 2023 | ICRA | NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants. | Xavier Puig, Tianmin Shu, Joshua B. Tenenbaum, Antonio Torralba |
| 2022 | EMNLP | RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning. | Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric P. Xing, Zhiting Hu |
| 2022 | ICML | Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning. | Aviv Netanyahu, Tianmin Shu, Joshua B. Tenenbaum, Pulkit Agrawal |
| 2022 | ICRA | Incorporating Rich Social Interactions Into MDPs. | Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu |
| 2021 | AAAI | PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception. | Aviv Netanyahu, Tianmin Shu, Boris Katz, Andrei Barbu, Joshua B. Tenenbaum |
| 2021 | CoRL | Social Interactions as Recursive MDPs. | Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Boris Katz, Andrei Barbu |
| 2021 | ICLR | Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration. | Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Yuan-Hong Liao, Joshua B. Tenenbaum, Sanja Fidler, Antonio Torralba |
| 2021 | ICML | AGENT: A Benchmark for Core Psychological Reasoning. | Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth S. Spelke, Joshua B. Tenenbaum, Tomer D. Ullman |
| 2020 | CogSci | Jointly learning motion verbs and frame semantics from natural language and grounded scenes. | Jon Gauthier, Jiayuan Mao, Tianmin Shu, Roger Levy, Josh Tenenbaum |
| 2020 | CogSci | Adventures in Flatland: Perceiving Social Interactions Under Physical Dynamics. | Tianmin Shu, Marta Kryven, Tomer D. Ullman, Josh Tenenbaum |
| 2020 | ECCV | Active Visual Information Gathering for Vision-Language Navigation. | Hanqing Wang, Wenguan Wang, Tianmin Shu, Wei Liang, Jianbing Shen |
| 2020 | RO-MAN | Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks. | Xiaofeng Gao, Ran Gong, Yizhou Zhao, Shu Wang, Tianmin Shu, Song-Chun Zhu |
| 2019 | CogSci | Partitioning the Perception of Physical and Social Events Within a Unified Psychological Space. | Tianmin Shu, Yujia Peng, Hongjing Lu, Song-Chun Zhu |
| 2019 | ICLR | M^3RL: Mind-aware Multi-agent Management Reinforcement Learning. | Tianmin Shu, Yuandong Tian |
| 2018 | CVPR | Where and Why Are They Looking? Jointly Inferring Human Attention and Intentions in Complex Tasks. | Ping Wei, Yang Liu, Tianmin Shu, Nanning Zheng, Song-Chun Zhu |
| 2018 | ICLR | Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning. | Tianmin Shu, Caiming Xiong, Richard Socher |
| 2017 | CogSci | Inferring Human Interaction from Motion Trajectories in Aerial Videos. | Tianmin Shu, Yujia Peng, Lifeng Fan, Hongjing Lu, Song-Chun Zhu |
| 2017 | CVPR | CERN: Confidence-Energy Recurrent Network for Group Activity Recognition. | Tianmin Shu, Sinisa Todorovic, Song-Chun Zhu |
| 2017 | ICRA | Learning social affordance grammar from videos: Transferring human interactions to human-robot interactions. | Tianmin Shu, Xiaofeng Gao, Michael S. Ryoo, Song-Chun Zhu |
| 2016 | CogSci | Critical Features of Joint Actions that Signal Human Interaction. | Tianmin Shu, Steven M. Thurman, Dawn Chen, Song-Chun Zhu, Hongjing Lu |
| 2016 | IJCAI | Learning Social Affordance for Human-Robot Interaction. | Tianmin Shu, Michael S. Ryoo, Song-Chun Zhu |
| 2015 | CVPR | Joint inference of groups, events and human roles in aerial videos. | Tianmin Shu, Dan Xie, Brandon Rothrock, Sinisa Todorovic, Song-Chun Zhu |