Center for Vision, Cognition, Learning, and Autonomy (VCLA)

	HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving Sirui Xie, Xiaojian Ma, Peiyu Yu, Yixin Zhu, Ying Nian Wu, and Song-Chun Zhu

	X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust Arjun Akula, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Y Chai, and Song-Chun Zhu

	Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning Wenhe Zhang, Chi Zhang, Yixin Zhu, and Song-Chun Zhu

	Learning Perceptual Inference by Contrasting Chi Zhang, Baoxiong Jia, Feng Gao, Yixin Zhu, Hongjing Lu, and Song-Chun Zhu

	VRGym: A Virtual Testbed for Physical and Interactive AI Xu Xie, Hangxin Liu, Zhenliang Zhang, Yuxing Qiu, Feng Gao, Siyuan Qi, Yixin Zhu, and Song-Chun Zhu *Equal contributors

	Inferring Forces and Learning Human Utilities From Videos Yixin Zhu, Chenfanfu Jiang, Yibiao Zhao, Demetri Terzopoulos, and Song-Chun Zhu *Equal contributors

	Machine Number Sense:A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning Wenhe Zhang, Chi Zhang, Yixin Zhu, Song-Chun Zhu

	Understanding Tools: Task-Oriented Object Modeling, Learning and Recognition Yixin Zhu, Yibiao Zhao, and Song-Chun Zhu *Equal contributors

	CoCo-X: Generating Conceptual and Counterfactual Explanations via Fault-Lines Arjun Akula, Shuai Wang, and Song-Chun Zhu

	A tale of two explanations: Enhancing human trust by explaining robot behavior Mark Edmonds, Feng Gao, Hangxin Liu, Xu Xie, Siyuan Qi, Brandon Rothrock, Yixin Zhu, Ying Nian Wu, Hongjing Lu, and Song-Chun Zhu *Equal contributors

	RAVEN: A Dataset for Relational and Analogical Visual rEasoNing Chi Zhang, Feng Gao, Baoxiong Jia, Yixin Zhu, and Song-Chun Zhu

	A Virtual Reality Platform for Dynamic Human-Scene Interaction Jenny Lin, Xingwen Guo, Jingyu Shao, Chenfanfu Jiang, Yixin Zhu, and Song-Chun Zhu Equal contributors

	VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning Xiaofeng Gao, Ran Gong, Tianmin Shu, Xu Xie, Shu Wang, and Song-Chun Zhu

	Learning Social Affordance for Human-Robot Interaction Tianmin Shu, M. S. Ryoo, and Song-Chun Zhu

	Human-centric Indoor Scene Synthesis Using Stochastic Grammar Siyuan Qi, Yixin Zhu, Siyuan Huang, Chenfanfu Jiang, and Song-Chun Zhu

	Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation Sirui Xie, Feng Gao, and Song-Chun Zhu *Equal contributors

	Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning Mark Edmonds, Xiaojian Ma, Siyuan Qi, Yixin Zhu, Hongjing Lu, and Song-Chun Zhu

	Decomposing Human Causal Learning: Bottom-up Associative Learning and Top-down Schema Reasoning Mark Edmonds, Siyuan Qi, Yixin Zhu, James Kubricht, Song-Chun Zhu, and Hongjing Lu Equal first author

	Consistent Probabilistic Simulation Underlying Human Judgment in Substance Dynamics James Kubricht, Yixin Zhu, Chenfanfu Jiang, Demetri Terzopoulos, Song-Chun Zhu, and Hongjing Lu Equal first author

	The Martian: Examining Human Physical Judgments Across Virtual Gravity Fields Tian Ye, Siyuan Qi, James Kubricht, Yixin Zhu, Hongjing Lu, and Song-Chun Zhu *Equal first author

	Visual Persuasion: Inferring Communicative Intents of Images Jungseock Joo, Weixin Li, Francis Steen, and Song-Chun Zhu

	Using Causal Induction in Humans to Learn and Infer Causality from Video Amy Fire, and Song-Chun Zhu

	Learning Perceptual Causality from Video Amy Fire, and Song-Chun Zhu

	Parsing Video Events with Goal Inference and Intent Prediction Mingtao Pei, Yunde Jia, and Song-Chun Zhu

	Inferring "Dark Matter" and "Dark Energy" from Videos Dan Xie, Sinisa Todorovic, and Song-Chun Zhu

	A Massively Parallel and Scalable Multi-GPU Material Point Method Xinlei Wang, Yuxing Qiu, Stuart R. Slattery, Yu Fang, Minchen Li, Song-Chun Zhu, Yixin Zhu, Min Tang, Dinesh Manocha, and Hongjing Lu *Equal contributors

	Joint Inference of States, Robot Knowledge, and Human (False-)Beliefs Tao Yuan, Hangxin Liu, Lifeng Fan, Zilong Zheng, Tao Gao, Yixin Zhu, and Song-Chun Zhu

	Human Causal Transfer: Challenges for Deep Reinforcement Learning Mark Edmonds, James Kubricht, Colin Summers, Yixin Zhu, Brandon Rothrock, Song-Chun Zhu, and Hongjing Lu *Equal first author

	Spatially Perturbed Collision Sounds Attenuate Perceived Causality in 3D Launching Events James Kubricht, Yixin Zhu, Wei Liang, Song-Chun Zhu, Chenfanfu Jiang, and Hongjing Lu *Equal first author

	Probabilistic Simulation Predicts Human Performance on Viscous Fluid-Pouring Problem James Kubricht, Chenfanfu Jiang, Yixin Zhu, Song-Chun Zhu, Demetri Terzopoulos, and Hongjing Lu Equal first author

	Evaluating Human Cognition of Containing Relations with Physical Simulation Wei Liang, Yibiao Zhao, Yixin Zhu, and Song-Chun Zhu

	Detecting Potential Falling Objects by Inferring Human Action and Natural Disturbance Bo Zheng, Yibiao Zhao, Joey C. Yu, Katsushi Ikeuchi, and Song-Chun Zhu (*equal contribution)

	Scene Parsing by Integrating Function, Geometry and Appearance Models Yibiao Zhao, and Song-Chun Zhu

	Beyond Point Clouds: Scene Understanding by Reasoning Geometry and Physics Bo Zheng, Yibiao Zhao, Joey C. Yu, Katsushi Ikeuchi, and Song-Chun Zhu

	Efficient Task Planning for Mobile Manipulation: a Virtual Kinematic Chain Perspective Ziyuan Jiao, Zeyu Zhang, Weiqi Wang, David Han, Song-Chun Zhu Yixin Zhu, and Hangxin Liu, *Equal contributors

	Human-Robot Interaction in a Shared Augmented Reality Workspace Shuwen Qiu, Hangxin Liu, Zeyu Zhang, Yixin Zhu, and Song-Chun Zhu *Equal contributors

	Learning Virtual Grasp with Failed Demonstrations via Bayesian Inverse Reinforcement Learning Xu Xie, Changyang Li, Chi Zhang, Yixin Zhu, and Song-Chun Zhu

	Self-Supervised Incremental Learning for Sound Source Localization in Complex Indoor Environment Hangxin Liu, Zeyu Zhang, Yixin Zhu, and Song-Chun Zhu *Equal contributors

	Interactive Robot Knowledge Patching using Augmented Reality Hangxin Liu, Yaofang Zhang, Wenwen Si, Xu Xie, Yixin Zhu, and Song-Chun Zhu *Equal contributors

	Feeling the Force: Integrating Force and Pose for Fluent Discovery through Imitation Learning to Open Medicine Bottles Mark Edmonds, Feng Gao, Xu Xie, Hangxin Liu, Siyuan Qi, Yixin Zhu, Brandon Rothrock, and Song-Chun Zhu *Equal contributors

	Learning Social Affordance Grammar from Videos: Transferring Human Interactions to Human-Robot Interactions Tianmin Shu, Xiaofeng Gao, Michael S. Ryoo, and Song-Chun Zhu

	Robot Learning with a Spatial, Temporal, and Causal And-Or Graph Caiming Xiong, Nishant Shukla, Wenlong Xiong, and Song-Chun Zhu

	Robot Learning from Demonstration on a Unified Representation Caiming Xiong, Nishant Shukla, Pablo Garcia Kilroy, Mun Wai Lee, and Song-Chun Zhu

	Consolidating Kinematic Models to Promote Coordinated Mobile Manipulations Ziyuan Jiao, Zeyu Zhang, Xin Jiang, David Han, Song-Chun Zhu Yixin Zhu, and Hangxin Liu, *Equal contributors

	Graph-based Hierarchical Knowledge Representation for Robot Task Transfer from Virtual to Physical World Zhenliang Zhang, Yixin Zhu, and Song-Chun Zhu

	A tale of two explanations: Enhancing human trust by explaining robot behavior Mark Edmonds, Feng Gao, Hangxin Liu, Xu Xie, Siyuan Qi, Brandon Rothrock, Yixin Zhu, Ying Nian Wu, Hongjing Lu, and Song-Chun Zhu *Equal contributors

	Joint Inference of States, Robot Knowledge, and Human (False-)Beliefs Tao Yuan, Hangxin Liu, Lifeng Fan, Zilong Zheng, Tao Gao, Yixin Zhu, and Song-Chun Zhu

	Congestion-aware Evacuation Routing using Augmented Reality Devices Zeyu Zhang, Hangxin Liu, Ziyuan Jiao, Yixin Zhu, and Song-Chun Zhu

	High-Fidelity Grasping in Virtual Reality using a Glove-based System Hangxin Liu, Zhenliang Zhang, Xu Xie, Yixin Zhu, Yue Liu, Yongtian Wang, and Song-Chun Zhu *Equal contributors

	Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions Hangxin Liu, Chi Zhang, Yixin Zhu, and Song-Chun Zhu

	Unsupervised Learning using Hierarchical Models for Hand-Object Interactions Xu Xie, Hangxin Liu, Mark Edmonds, Feng Gao, Siyuan Qi, Yixin Zhu, Brandon Rothrock, and Song-Chun Zhu *Equal contributors

	A Glove-based System for Studying Hand-Object Manipulation via Joint Pose and Force Sensing Hangxin Liu, Xu Xie, Matt Millar, Mark Edmonds, Feng Gao, Yixin Zhu, Veronica Santos, Brandon Rothrock, and Song-Chun Zhu Equal contributors

	PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points Siyuan Huang, Yixin Chen, Tao Yuan Siyuan Qi, Yixin Zhu, and Song-Chun Zhu

	Hoilistc++ Scene Understanding: Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commensense Yixin Chen, Siyuan Huang, Tao Yuan Siyuan Qi, Yixin Zhu, and Song-Chun Zhu

	Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation Siyuan Huang, Siyuan Qi, Yinxue Xiao, Yixin Zhu, Ying Nian Wu,and Song-Chun Zhu

	Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image Siyuan Huang, Siyuan Qi, Yixin Zhu, Yinxue Xiao, Yuanlu Xu,and Song-Chun Zhu *Equal contributors

	Tracking Occluded Objects and Recovering Incomplete Trajectories by Reasoning about Containment Relations and Human Actions Wei Liang, Yixin Zhu, and Song-Chun Zhu

	What is Where: Inferring Containment Relations from Videos Wei Liang, Yibiao Zhao, Yixin Zhu, and Song-Chun Zhu

	Mining And-Or Graphs for Graph Matching and Object Discovery Quanshi Zhang, Ying Nian Wu, and Song-Chun Zhu

	Learning Near-Optimal Cost-Sensitive Decision Policies for Object Detection Tianfu Wu, and Song-Chun Zhu

	Concurrent Action Detection with Structural Prediction Modeling 4D Human-Object Interactions for Event and Object Recognition Ping Wei, Yibiao Zhao, Nanning Zheng, and Song-Chun Zhu

	Discriminatively Trained And-Or Tree Models for Object Detection Xi Song, Tianfu Wu, Yunde Jia, and Song-Chun Zhu

	Weakly Supervised Learning for Attribute Localization in Outdoor Scenes Shuo Wang, Jungseock Joo, Yizhou Wang, and Song-Chun Zhu

	Cost-Sensitive Top-down/Bottom-up Inference for Multiscale Activity Recognition Mohamed R. Amer, Dan Xie, Mingtian Zhao, Sinisa Todorovic, and Song-Chun Zhu

	Human Parsing using Stochastic And-Or Grammars and Rich Appearances Brandon Rothrock, and Song-Chun Zhu

	LEMMA: A Multi-view Dataset for LEarning Multi-agent Multi-task Activities Baoxiong Jia, Yixin Chen, Siyuan Huang, Yixin Zhu, and Song-Chun Zhu

	Joint Inference of States, Robot Knowledge, and Human (False-)Beliefs Tao Yuan, Hangxin Liu, Lifeng Fan, Zilong Zheng, Tao Gao, Yixin Zhu, and Song-Chun Zhu

	Configurable, Photorealistic Image Rendering and Ground Truth Synthesis by Sampling Stochastic Grammars Representing Indoor Scenes Chenfanfu Jiang, Yixin Zhu, Siyuan Qi, Siyuan Huang, Lap-Fai Yu, Demetri Terzopoulos, and Song-Chun Zhu *Equal contributors

	Inferring Hidden Statuses and Actions in Video by Causal Reasoning Amy Fire, and Song-Chun Zhu

	Joint Inference of Groups, Events and Human Roles in Aerial Videos Tianmin Shu, Dan Xie, Brandon Rothrock, Sinisa Todorovic, and Song-Chun Zhu

	Cosegmentation and Cosketch by Unsupervised Learning Jifeng Dai, Ying Nian Wu, Jie Zhou, and Song-Chun Zhu

	Human Attribute Recognition By Rich Appearance Dictionary Jungseock Joo, Shuo Wang, and Song-Chun Zhu

	Bottom-up / Top-down Inference Processes -- a Numerical Answer Tianfu Wu, and Song-Chun Zhu

	Image Parsing via Stochastic Scene Grammar Yibiao Zhao, and Song-Chun Zhu

	Video Primal Sketch Z. Han, Z. Xu, and S.-C. Zhu

	A Dynamic Model for Face Aging Simulation Jinli Suo, Song-Chun Zhu, Shiguang Shan, and Xilin Chen

	A Hierarchical and Contextual Model for Aerial Image Parsing Jacob Porway, Qiongchen Wang, and Song-Chun Zhu

	Restricted Visual Turing Test for Deep Scene and Event Understanding Hang Qi, Tianfu Wu, Mun Wai Lee, and Song-Chun Zhu

	SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues Liang Qiu, Yuan Liang, Yizhou Zhao, Pan Lu, Baolin Peng, Zhou Yu, Ying Nian Wu, and Song-Chun Zhu

	On the Robustness of Grounding Visual Referring Expressions Arjun Akula, Spandana Gella, Yaser Al-Onaizan, Siva Reddy, and Song-Chun Zhu

	Task Learning through Visual Demonstration and Situated Dialogue Changsong Liu, Joyce Y. Chai, Nishant Shukla, and Song-Chun Zhu

	Automated Facial Trait Judgment Jungseock Joo, Fancis F. Steen Song-Chun Zhu

	Joint Video and Text Parsing for Understanding Events and Answering Queries Kewei Tu, Meng Meng, Mun Wai Lee, Tae Eun Choe, and Song-Chun Zhu

	Topic discovery and story segmentation for broadcast news by Swendsen-Wang Cuts Weixin Li, Jungseock Joo, Hang Qi, and Song-Chun Zhu

	ValueNet: A New Dataset for Human Value Driven Dialogue System Liang Qiu, Yizhou Zhao, Jinchao Li, Pan Lu, Baolin Peng, Jianfeng Gao, and Song-Chun Zhu

	Structured Attention for Unsupervised Dialogue Structure Induction Liang Qiu, Yizhou Zhao, Weiyan Shi, Yuan Liang, Feng Shi, Yuan Tao, Zhou Yu, and Song-Chun Zhu

	Visual Discourse Parsing Arjun Akula, and Song-Chun Zhu

	Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning Qing Li , Siyuan Huang, Yining Hong, Yixin Chen, Ying Nian Wu, and Song-Chun Zhu

	Emergence of Pragmatics from Referential Game between Theory of Mind Agents Luyao Yuan, Zipeng Fu, Jingyue Shen, Lu Xu, Juhong Shen, and Song-Chun Zhu

	I2T: Image Parsing to Text Generation Benjamin Yao, Xiong Yang, Liang Lin, Mun Wai Lee, and Song-Chun Zhu

	Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference Erik Nijkamp, Bo Pang, Tian Han, Song-Chun Zhu, and Ying Nian Wu *Equal contributors

	Learning Generative ConvNets via Multi-grid Modeling and Sampling Ruiqi Gao, Yang Lu, Junpei Zhou, Song-Chun Zhu, and Ying Nian Wu *Equal contributors

	A Theory of Generative ConvNet Jianwen Xie, Yang Lu, Song-Chun Zhu, and Ying Nian Wu

	On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models Erik Nijkamp, Mitch Hill, Tian Han, Song-Chun Zhu, and Ying Nian Wu

	Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model Tian Han, Erik Nijkamp, Xiaolin Fang, Mitchell Hill, Song-Chun Zhu, and Ying Nian Wu

	Rates for Inductive Learning of Compositional Models Adrian Barbu, Maria Pavlovskaia, and Song-Chun Zhu

	Learning Sparse FRAME Models for Natural Image Patterns Jianwen Xie, Wenze Hu, Song-Chun Zhu, and Ying Nian Wu

	Inducing Wavelets into Random Fields via Generative Boosting Jianwen Xie, Yang Lu, Song-Chun Zhu, and Ying Nian Wu

	Unsupervised Learning of Compositional Sparse Code for Natural Image Representation Yi Hong, Zhangzhang Si, Wenze Hu, Song-Chun Zhu, and Ying Nian Wu

	Alternating Back-Propagation for Generator Network Tian Han, Yang Lu, Song-Chun Zhu, and Ying Nian Wu

	Cooperative Training of Descriptor and Generator Networks Jianwen Xie, Yang Lu, Song-Chun Zhu, and Ying Nian Wu

	Building a Telescope to Look Into High-Dimensional Image Spaces Mitch Hill, Erik Nijkamp, and Song-Chun Zhu

	Learning Descriptor Networks for 3D Shape Synthesis and Analysis Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, and Ying Nian Wu

	Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, and Ying Nian Wu

	Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, and Ying Nian Wu

	Learning Dynamic Generator Model by Alternating Back-Propagation Through Time Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, and Ying Nian Wu

	Learning Energy-based Spatial-Temporal Generative ConvNet for Dynamic Patterns Jianwen Xie, Song-Chun Zhu, and Ying Nian Wu

	Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model Erik Nijkamp, Mitchell Hill, Song-Chun Zhu, and Ying Nian Wu

	Learning Animated Basis Model for Action Detection & Recognition Benjamin Z. Yao, and Song-Chun Zhu

	A Massively Parallel and Scalable Multi-GPU Material Point Method Xinlei Wang, Yuxing Qiu, Stuart R. Slattery, Yu Fang, Minchen Li, Song-Chun Zhu, Yixin Zhu, Min Tang, Dinesh Manocha, and Hongjing Lu *Equal contributors

	Joint Inference of States, Robot Knowledge, and Human (False-)Beliefs Tao Yuan, Hangxin Liu, Lifeng Fan, Zilong Zheng, Tao Gao, Yixin Zhu, and Song-Chun Zhu

	Human Causal Transfer: Challenges for Deep Reinforcement Learning Mark Edmonds, James Kubricht, Colin Summers, Yixin Zhu, Brandon Rothrock, Song-Chun Zhu, and Hongjing Lu *Equal first author

	Spatially Perturbed Collision Sounds Attenuate Perceived Causality in 3D Launching Events James Kubricht, Yixin Zhu, Wei Liang, Song-Chun Zhu, Chenfanfu Jiang, and Hongjing Lu *Equal first author

	Probabilistic Simulation Predicts Human Performance on Viscous Fluid-Pouring Problem James Kubricht, Chenfanfu Jiang, Yixin Zhu, Song-Chun Zhu, Demetri Terzopoulos, and Hongjing Lu Equal first author

	Evaluating Human Cognition of Containing Relations with Physical Simulation Wei Liang, Yibiao Zhao, Yixin Zhu, and Song-Chun Zhu

	Detecting Potential Falling Objects by Inferring Human Action and Natural Disturbance Bo Zheng, Yibiao Zhao, Joey C. Yu, Katsushi Ikeuchi, and Song-Chun Zhu (*equal contribution)

	Scene Parsing by Integrating Function, Geometry and Appearance Models Yibiao Zhao, and Song-Chun Zhu

	Beyond Point Clouds: Scene Understanding by Reasoning Geometry and Physics Bo Zheng, Yibiao Zhao, Joey C. Yu, Katsushi Ikeuchi, and Song-Chun Zhu

	Efficient Task Planning for Mobile Manipulation: a Virtual Kinematic Chain Perspective Ziyuan Jiao, Zeyu Zhang, Weiqi Wang, David Han, Song-Chun Zhu Yixin Zhu, and Hangxin Liu, *Equal contributors

	Human-Robot Interaction in a Shared Augmented Reality Workspace Shuwen Qiu, Hangxin Liu, Zeyu Zhang, Yixin Zhu, and Song-Chun Zhu *Equal contributors

	Learning Virtual Grasp with Failed Demonstrations via Bayesian Inverse Reinforcement Learning Xu Xie, Changyang Li, Chi Zhang, Yixin Zhu, and Song-Chun Zhu

	Self-Supervised Incremental Learning for Sound Source Localization in Complex Indoor Environment Hangxin Liu, Zeyu Zhang, Yixin Zhu, and Song-Chun Zhu *Equal contributors

	Interactive Robot Knowledge Patching using Augmented Reality Hangxin Liu, Yaofang Zhang, Wenwen Si, Xu Xie, Yixin Zhu, and Song-Chun Zhu *Equal contributors

	Feeling the Force: Integrating Force and Pose for Fluent Discovery through Imitation Learning to Open Medicine Bottles Mark Edmonds, Feng Gao, Xu Xie, Hangxin Liu, Siyuan Qi, Yixin Zhu, Brandon Rothrock, and Song-Chun Zhu *Equal contributors

	Learning Social Affordance Grammar from Videos: Transferring Human Interactions to Human-Robot Interactions Tianmin Shu, Xiaofeng Gao, Michael S. Ryoo, and Song-Chun Zhu

	Robot Learning with a Spatial, Temporal, and Causal And-Or Graph Caiming Xiong, Nishant Shukla, Wenlong Xiong, and Song-Chun Zhu

	Robot Learning from Demonstration on a Unified Representation Caiming Xiong, Nishant Shukla, Pablo Garcia Kilroy, Mun Wai Lee, and Song-Chun Zhu

	Consolidating Kinematic Models to Promote Coordinated Mobile Manipulations Ziyuan Jiao, Zeyu Zhang, Xin Jiang, David Han, Song-Chun Zhu Yixin Zhu, and Hangxin Liu, *Equal contributors

	Graph-based Hierarchical Knowledge Representation for Robot Task Transfer from Virtual to Physical World Zhenliang Zhang, Yixin Zhu, and Song-Chun Zhu

	A tale of two explanations: Enhancing human trust by explaining robot behavior Mark Edmonds, Feng Gao, Hangxin Liu, Xu Xie, Siyuan Qi, Brandon Rothrock, Yixin Zhu, Ying Nian Wu, Hongjing Lu, and Song-Chun Zhu *Equal contributors

	Joint Inference of States, Robot Knowledge, and Human (False-)Beliefs Tao Yuan, Hangxin Liu, Lifeng Fan, Zilong Zheng, Tao Gao, Yixin Zhu, and Song-Chun Zhu

	Congestion-aware Evacuation Routing using Augmented Reality Devices Zeyu Zhang, Hangxin Liu, Ziyuan Jiao, Yixin Zhu, and Song-Chun Zhu

	High-Fidelity Grasping in Virtual Reality using a Glove-based System Hangxin Liu, Zhenliang Zhang, Xu Xie, Yixin Zhu, Yue Liu, Yongtian Wang, and Song-Chun Zhu *Equal contributors

	Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions Hangxin Liu, Chi Zhang, Yixin Zhu, and Song-Chun Zhu

	Unsupervised Learning using Hierarchical Models for Hand-Object Interactions Xu Xie, Hangxin Liu, Mark Edmonds, Feng Gao, Siyuan Qi, Yixin Zhu, Brandon Rothrock, and Song-Chun Zhu *Equal contributors

	A Glove-based System for Studying Hand-Object Manipulation via Joint Pose and Force Sensing Hangxin Liu, Xu Xie, Matt Millar, Mark Edmonds, Feng Gao, Yixin Zhu, Veronica Santos, Brandon Rothrock, and Song-Chun Zhu Equal contributors