Tianmin Shu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 64

Top Venues

CoRR

CogSci

ICRA

AAAI

University of California, Los Angeles, USA (PHD)

Education History

University of California, Los Angeles, USA

PHD

Publications

Kunal Jha, Tuan Anh Le, Chuanyang Jin, Yen-Ling Kuo, Joshua B. Tenenbaum, Tianmin Shu
Neural Amortized Inference for Nested Multi-Agent Reasoning. AAAI (2024)
Yuening Zhang, Paul Robertson, Tianmin Shu, Sungkweon Hong, Brian C. Williams
Risk-Bounded Online Team Interventions via Theory of Mind. ICRA (2024)
Andi Peng, Yuying Sun, Tianmin Shu, David Abel
Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human Input. CoRR (2024)
Hongxin Zhang, Zeyuan Wang, Qiushi Lyu, Zheyuan Zhang, Sunli Chen, Tianmin Shu, Yilun Du, Chuang Gan
COMBO: Compositional World Models for Embodied Multi-Agent Cooperation. CoRR (2024)
Lance Ying, Kunal Jha, Shivam Aarya, Joshua B. Tenenbaum, Antonio Torralba, Tianmin Shu
GOMA: Proactive Embodied Cooperative Communication via Goal-Oriented Mental Alignment. CoRR (2024)
Hongxin Zhang, Weihua Du, Jiaming Shan, Qinhong Zhou, Yilun Du, Joshua B. Tenenbaum, Tianmin Shu, Chuang Gan
Building Cooperative Embodied Agents Modularly with Large Language Models. ICLR (2024)
Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu
MMToM-QA: Multimodal Theory of Mind Question Answering. CoRR (2024)
Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu
Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs. AAAI (2023)
Zhiting Hu, Tianmin Shu
Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning. CoRR (2023)
Hongxin Zhang, Weihua Du, Jiaming Shan, Qinhong Zhou, Yilun Du, Joshua B. Tenenbaum, Tianmin Shu, Chuang Gan
Building Cooperative Embodied Agents Modularly with Large Language Models. CoRR (2023)
Xavier Puig, Tianmin Shu, Joshua B. Tenenbaum, Antonio Torralba
NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants. ICRA (2023)
Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, Zhiting Hu
Language Models Meet World Models: Embodied Experiences Enhance Language Models. NeurIPS (2023)
Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation. ICML (2023)
Xavier Puig, Tianmin Shu, Joshua B. Tenenbaum, Antonio Torralba
NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants. CoRR (2023)
Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Curtis Mozer, Nicolas Heess, Yoshua Bengio
Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning. ICLR (2023)
Chuanyang Jin, Songyang Zhang, Tianmin Shu, Zhihan Cui
The Cultural Psychology of Large Language Models: Is ChatGPT a Holistic or Analytic Thinker? CoRR (2023)
Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation. CoRR (2023)
Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, Zhiting Hu
Language Models Meet World Models: Embodied Experiences Enhance Language Models. CoRR (2023)
Kunal Jha, Tuan Anh Le, Chuanyang Jin, Yen-Ling Kuo, Joshua B. Tenenbaum, Tianmin Shu
Neural Amortized Inference for Nested Multi-agent Reasoning. CoRR (2023)
Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric P. Xing, Zhiting Hu
RLPrompt: Optimizing Discrete Text Prompts With Reinforcement Learning. CoRR (2022)
Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu
Incorporating Rich Social Interactions Into MDPs. ICRA (2022)
Aviv Netanyahu, Tianmin Shu, Joshua B. Tenenbaum, Pulkit Agrawal
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning. ICML (2022)
Aviv Netanyahu, Tianmin Shu, Joshua B. Tenenbaum, Pulkit Agrawal
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning. CoRR (2022)
Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Mozer, Nicolas Heess, Yoshua Bengio
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning. CoRR (2022)
Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric P. Xing, Zhiting Hu
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning. EMNLP (2022)
Xiaofeng Gao, Luyao Yuan, Tianmin Shu, Hongjing Lu, Song-Chun Zhu
Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration. IEEE Robotics Autom. Lett. 7 (2) (2022)
Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Mozer, Nicolas Heess, Yoshua Bengio
Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel. CoRR (2022)
Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Yuan-Hong Liao, Joshua B. Tenenbaum, Sanja Fidler, Antonio Torralba
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration. ICLR (2021)
Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu
Incorporating Rich Social Interactions Into MDPs. CoRR (2021)
Aviv Netanyahu, Tianmin Shu, Boris Katz, Andrei Barbu, Joshua B. Tenenbaum
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception. CoRR (2021)
Aviv Netanyahu, Tianmin Shu, Boris Katz, Andrei Barbu, Joshua B. Tenenbaum
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception. AAAI (2021)
Xiaofeng Gao, Luyao Yuan, Tianmin Shu, Hongjing Lu, Song-Chun Zhu
Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration. CoRR (2021)
Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Boris Katz, Andrei Barbu
Social Interactions as Recursive MDPs. CoRL (2021)
Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth S. Spelke, Joshua B. Tenenbaum, Tomer Ullman
AGENT: A Benchmark for Core Psychological Reasoning. ICML (2021)
Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth S. Spelke, Joshua B. Tenenbaum, Tomer D. Ullman
AGENT: A Benchmark for Core Psychological Reasoning. CoRR (2021)
Hanqing Wang, Wenguan Wang, Tianmin Shu, Wei Liang, Jianbing Shen
Active Visual Information Gathering for Vision-Language Navigation. CoRR (2020)
Xiaofeng Gao, Ran Gong, Yizhou Zhao, Shu Wang, Tianmin Shu, Song-Chun Zhu
Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks. RO-MAN (2020)
Jon Gauthier, Jiayuan Mao, Tianmin Shu, Roger Levy, Josh Tenenbaum
Jointly learning motion verbs and frame semantics from natural language and grounded scenes. CogSci (2020)
Xiaofeng Gao, Ran Gong, Yizhou Zhao, Shu Wang, Tianmin Shu, Song-Chun Zhu
Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks. CoRR (2020)
Tianmin Shu, Marta Kryven, Tomer D. Ullman, Josh Tenenbaum
Adventures in Flatland: Perceiving Social Interactions Under Physical Dynamics. CogSci (2020)
Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Joshua B. Tenenbaum, Sanja Fidler, Antonio Torralba
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration. CoRR (2020)
Hanqing Wang, Wenguan Wang, Tianmin Shu, Wei Liang, Jianbing Shen
Active Visual Information Gathering for Vision-Language Navigation. ECCV (22) (2020)
Zhixiong Nan, Tianmin Shu, Ran Gong, Shu Wang, Ping Wei, Song-Chun Zhu, Nanning Zheng
Learning to infer human attention in daily activities. Pattern Recognit. 103 (2020)
Xiaofeng Gao, Ran Gong, Tianmin Shu, Xu Xie, Shu Wang, Song-Chun Zhu
VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning. CoRR (2019)
Tianmin Shu, Yujia Peng, Hongjing Lu, Song-Chun Zhu
Partitioning the Perception of Physical and Social Events Within a Unified Psychological Space. CogSci (2019)
Tianmin Shu, Yuandong Tian
M^3RL: Mind-aware Multi-agent Management Reinforcement Learning. ICLR (Poster) (2019)
Tianmin Shu, Yujia Peng, Lifeng Fan, Hongjing Lu, Song-Chun Zhu
Perception of Human Interaction Based on Motion Trajectories: From Aerial Videos to Decontextualized Animations. Top. Cogn. Sci. 10 (1) (2018)
Tianmin Shu, Caiming Xiong, Ying Nian Wu, Song-Chun Zhu
Interactive Agent Modeling by Learning to Probe. CoRR (2018)
Ping Wei, Yang Liu, Tianmin Shu, Nanning Zheng, Song-Chun Zhu
Where and Why Are They Looking? Jointly Inferring Human Attention and Intentions in Complex Tasks. CVPR (2018)
Tianmin Shu, Caiming Xiong, Richard Socher
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning. ICLR (Poster) (2018)
Dan Xie, Tianmin Shu, Sinisa Todorovic, Song-Chun Zhu
Learning and Inferring "Dark Matter" and Predicting Human Intents and Trajectories in Videos. IEEE Trans. Pattern Anal. Mach. Intell. 40 (7) (2018)
Tianmin Shu, Yuandong Tian
M^3RL: Mind-aware Multi-agent Management Reinforcement Learning. CoRR (2018)
Tianmin Shu, Sinisa Todorovic, Song-Chun Zhu
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition. CVPR (2017)
Tianmin Shu, Xiaofeng Gao, Michael S. Ryoo, Song-Chun Zhu
Learning social affordance grammar from videos: Transferring human interactions to human-robot interactions. ICRA (2017)
Tianmin Shu, Sinisa Todorovic, Song-Chun Zhu
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition. CoRR (2017)
Tianmin Shu, Xiaofeng Gao, Michael S. Ryoo, Song-Chun Zhu
Learning Social Affordance Grammar from Videos: Transferring Human Interactions to Human-Robot Interactions. CoRR (2017)
Tianmin Shu, Caiming Xiong, Richard Socher
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning. CoRR (2017)
Tianmin Shu, Yujia Peng, Lifeng Fan, Hongjing Lu, Song-Chun Zhu
Inferring Human Interaction from Motion Trajectories in Aerial Videos. CogSci (2017)
Tianmin Shu, Steven M. Thurman, Dawn Chen, Song-Chun Zhu, Hongjing Lu
Critical Features of Joint Actions that Signal Human Interaction. CogSci (2016)
Dan Xie, Tianmin Shu, Sinisa Todorovic, Song-Chun Zhu
Modeling and Inferring Human Intents and Latent Functional Objects for Trajectory Prediction. CoRR (2016)
Tianmin Shu, Michael S. Ryoo, Song-Chun Zhu
Learning Social Affordance for Human-Robot Interaction. IJCAI (2016)
Tianmin Shu, M. S. Ryoo, Song-Chun Zhu
Learning Social Affordance for Human-Robot Interaction. CoRR (2016)
Tianmin Shu, Dan Xie, Brandon Rothrock, Sinisa Todorovic, Song-Chun Zhu
Joint inference of groups, events and human roles in aerial videos. CVPR (2015)
Tianmin Shu, Dan Xie, Brandon Rothrock, Sinisa Todorovic, Song-Chun Zhu
Joint Inference of Groups, Events and Human Roles in Aerial Videos. CoRR (2015)

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Publication Activity (10 Years)

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Tianmin Shu