A Framework for Shape Representation and Recognition. - Song Chun Zhu; Alan L. Yuille (ICIP (1), 1994)

Region Competition: Unifying Snakes, Region Growing, Energy/Bayes/MDL for Multi-band Image Segmentation. - Song Chun Zhu; Tai Sing Lee; Alan L. Yuille (ICCV, 1995)

FRAME: Filters, Random fields, and Minimax Entropy - Towards a Unified Theory for Texture Modeling. - Song Chun Zhu; Ying Nian Wu; David Mumford (CVPR, 1996)

FORMS: A flexible object recognition and modelling system. - Song Chun Zhu; Alan L. Yuille (Int. J. Comput. Vis., 1996)

Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation. - Song Chun Zhu; Alan L. Yuille (IEEE Trans. Pattern Anal. Mach. Intell., 1996)

Learning Generic Prior Models for Visual Computation. - Song Chun Zhu; David Mumford (CVPR, 1997)

Modeling images and textures by minimax entropy. - Song-Chun Zhu; Ying Nian Wu; David Mumford (Human Vision and Electronic Imaging, 1997)

Minimax Entropy Principle and Its Application to Texture Modeling. - Song Chun Zhu; Ying Nian Wu; David Mumford (Neural Comput., 1997)

Prior Learning and Gibbs Reaction-Diffusion. - Song Chun Zhu; David Mumford (IEEE Trans. Pattern Anal. Mach. Intell., 1997)

Stochastic Computation of Medial Axis in Markov Random Fields. - Song Chun Zhu (CVPR, 1998)

GRADE: Gibbs Reaction and Diffusion Equation. - Song Chun Zhu; David Mumford (ICCV, 1998)

Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling. - Song Chun Zhu; Ying Nian Wu; David Mumford (Int. J. Comput. Vis., 1998)

Fundamental Bounds on Edge Detection: An Information Theoretic Evaluation of Different Edge Cues. - Scott Konishi; Alan L. Yuille; James M. Coughlan; Song Chun Zhu (CVPR, 1999)

Equivalence of Julesz and Gibbs Texture Ensembles. - Ying Nian Wu; Song Chun Zhu; Xiuwen Liu (ICCV, 1999)

From local features to global perception - A perspective of Gestalt psychology from Markov random field theory. - Song Chun Zhu; Ying Nian Wu (Neurocomputing, 1999)

Stochastic Jump-Diffusion Process for Computing Medial Axes in Markov Random Fields. - Song Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 1999)

Embedding Gestalt Laws in Markov Random Fields. - Song Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 1999)

Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help? - Alan L. Yuille; James M. Coughlan; Song Chun Zhu; Ying Nian Wu (CVPR, 2000)

Integrating Bottom-Up/Top-Down for Object Recognition by Data Driven Markov Chain Monte Carlo. - Song Chun Zhu; Rong Zhang; Zhuowen Tu (CVPR, 2000)

Equivalence of Julesz Ensembles and FRAME Models. - Ying Nian Wu; Song Chun Zhu; Xiuwen Liu (Int. J. Comput. Vis., 2000)

Guest Editorial: Statistical and Computational Theories of Vision: Modeling, Learning, Sampling and Computing, Part I. - Song Chun Zhu; Alan L. Yuille; David Mumford (Int. J. Comput. Vis., 2000)

Exploring Texture Ensembles by Efficient Markov Chain Monte Carlo-Toward a 'Trichromacy' Theory of Texture. - Song Chun Zhu; Xiuwen Liu; Ying Nian Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2000)

Example-Based Facial Sketch Generation with Non-parametric Sampling. - Hong Chen; Ying-Qing Xu; Heung-Yeung Shum; Song Chun Zhu; Nanning Zheng 001 (ICCV, 2001)

Visual Learning by Integrating Descriptive and Generative Methods. - Cheng-en Guo; Song Chun Zhu; Ying Nian Wu (ICCV, 2001)

Learning Inhomogeneous Gibbs Model of Faces by Minimax Entropy. - Ce Liu 001; Song Chun Zhu; Heung-Yeung Shum (ICCV, 2001)

Image Segmentation by Data Driven Markov Chain Monte Carlo. - Zhuowen Tu; Song Chun Zhu; Heung-Yeung Shum (ICCV, 2001)

Order Parameters for Detecting Target Curves in Images: When Does High Level Knowledge Help? - Alan L. Yuille; James M. Coughlan; Ying Nian Wu; Song Chun Zhu (Int. J. Comput. Vis., 2001)

Introduction by Guest Editors. - Alan L. Yuille; Song Chun Zhu; David Mumford (Int. J. Comput. Vis., 2001)

A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction. - Feng Han 001; Zhuowen Tu; Song Chun Zhu (ECCV (3), 2002)

Parsing Images into Region and Curve Processes. - Zhuowen Tu; Song Chun Zhu (ECCV (3), 2002)

A Generative Method for Textured Motion: Analysis and Synthesis. - Yizhou Wang 001; Song Chun Zhu (ECCV (1), 2002)

Statistical Modeling of Texture Sketch. - Ying Nian Wu; Song Chun Zhu; Cheng-en Guo (ECCV (3), 2002)

What Are Textons? - Song Chun Zhu; Cheng-en Guo; Ying Nian Wu; Yizhou Wang 001 (ECCV (4), 2002)

Image Segmentation by Data-Driven Markov Chain Monte Carlo. - Zhuowen Tu; Song Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

Learning in Gibbsian Fields: How Accurate and How Fast Can It Be? - Song Chun Zhu; Xiuwen Liu (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

Bayesian Reconstruction of 3D Shapes and Scenes From A Single Image. - Feng Han 001; Song Chun Zhu (HLK, 2003)

Graph Partition by Swendsen-Wang Cuts. - Adrian Barbu; Song Chun Zhu (ICCV, 2003)

A Multi-scale Generative Model for Animate Shapes and Parts. - Aleksandr Dubinskiy; Song Chun Zhu (ICCV, 2003)

Towards a Mathematical Theory of Primal Sketch and Sketchability. - Cheng-en Guo; Song Chun Zhu; Ying Nian Wu (ICCV, 2003)

Modeling Textured Motion : Particle, Wave and Sketch. - Yizhou Wang 001; Song Chun Zhu (ICCV, 2003)

Modeling Visual Patterns by Integrating Descriptive and Generative Methods. - Cheng-en Guo; Song Chun Zhu; Ying Nian Wu (Int. J. Comput. Vis., 2003)

Statistical Edge Detection: Learning and Evaluating Edge Cues. - Scott Konishi; Alan L. Yuille; James M. Coughlan; Song Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Statistical Modeling and Conceptualization of Visual Patterns. - Song Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Multigrid and Multi-Level Swendsen-Wang Cuts for Hierarchic Graph Partition. - Adrian Barbu; Song Chun Zhu (CVPR (2), 2004)

Information Scaling Laws in Natural Scenes. - Cheng-en Guo; Ying Nian Wu; Song Chun Zhu (CVPR Workshops, 2004)

Automatic Single View Building Reconstruction by Integrating Segmentation. - Feng Han 001; Song-Chun Zhu (CVPR Workshops, 2004)

Modeling Complex Motion by Tracking and Editing Hidden Markov Graphs. - Yizhou Wang 001; Song Chun Zhu (CVPR (1), 2004)

On the Relationship Between Image and Motion Segmentation. - Adrian Barbu; Song Chun Zhu (SCVMA, 2004)

Range Image Segmentation by an Effective Jump-Diffusion Method. - Feng Han 001; Zhuowen Tu; Song Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

Analysis and Synthesis of Textured Motion: Particles and Waves. - Yizhou Wang 001; Song Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

A Generative Model of Human Hair for Hair Sketching. - Hong Chen; Song Chun Zhu (CVPR (2), 2005)

Cloth Representation by Shape from Shading with Shading Primitives. - Feng Han 001; Song Chun Zhu (CVPR (1), 2005)

A High Resolution Grammatical Model for Face Representation and Sketching. - Zijian Xu 001; Hong Chen; Song Chun Zhu (CVPR (2), 2005)

Incorporating Visual Knowledge Representation in Stereo Reconstruction. - Adrian Barbu; Song Chun Zhu (ICCV, 2005)

Bottom-up/Top-Down Image Parsing by Attribute Graph Grammar. - Feng Han 001; Song Chun Zhu (ICCV, 2005)

Perceptual Scale Space and its Applications. - Yizhou Wang 001; Siavosh Bahrami; Song Chun Zhu (ICCV, 2005)

Image Parsing: Unifying Segmentation, Detection, and Recognition. - Zhuowen Tu; Xiangrong Chen; Alan L. Yuille; Song Chun Zhu (Int. J. Comput. Vis., 2005)

What are Textons? - Song Chun Zhu; Cheng-en Guo; Yizhou Wang 001; Zijian Xu 001 (Int. J. Comput. Vis., 2005)

Generalizing Swendsen-Wang to Sampling Arbitrary Posterior Probabilities. - Adrian Barbu; Song Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Composite Templates for Cloth Modeling and Sketching. - Hong Chen; Zi Jian Xu 001; Ziqiang Liu; Song Chun Zhu (CVPR (1), 2006)

A Stochastic Grammar of Images. - Song Chun Zhu; David Mumford (Found. Trends Comput. Graph. Vis., 2006)

Parsing Images into Regions, Curves, and Curve Groups. - Zhuowen Tu; Song Chun Zhu (Int. J. Comput. Vis., 2006)

A Generative Sketch Model for Human Hair Analysis and Synthesis. - Hong Chen; Song Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Layered Graph Match with Graph Editing. - Liang Lin; Song Chun Zhu; Yongtian Wang (CVPR, 2007)

Mapping Natural Image Patches by Explicit and Implicit Manifolds. - Kent Shi; Song Chun Zhu (CVPR, 2007)

A Multi-Resolution Dynamic Model for Face Aging Simulation. - Jin-Li Suo; Feng Min; Song Chun Zhu; Shiguang Shan; Xilin Chen 001 (CVPR, 2007)

Compositional Boosting for Computing Hierarchical Image Structures. - Tianfu Wu 001; Gui-Song Xia; Song Chun Zhu (CVPR, 2007)

Bayesian Inference for Layer Representation with Mixed Markov Random Field. - Ru-Xin Gao; Tianfu Wu 001; Song Chun Zhu; Nong Sang (EMMCVPR, 2007)

Dynamic Feature Cascade for Multiple Object Tracking with Trackability Analysis. - Zheng Li; Haifeng Gong; Song Chun Zhu; Nong Sang (EMMCVPR, 2007)

An Automatic Portrait System Based on And-Or Graph Representation. - Feng Min; Jin-Li Suo; Song Chun Zhu; Nong Sang (EMMCVPR, 2007)

Object Category Recognition Using Generative Template Boosting. - Shaowu Peng; Liang Lin; Jake Porway; Nong Sang; Song Chun Zhu (EMMCVPR, 2007)

Introduction to a Large-Scale General Purpose Ground Truth Database: Methodology, Annotation Tool and Benchmarks. - Benjamin Z. Yao; Xiong Yang; Song Chun Zhu (EMMCVPR, 2007)

An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples. - Liang Lin; Shaowu Peng; Jake Porway; Song Chun Zhu; Yongtian Wang (ICCV, 2007)

Deformable Template As Active Basis. - Ying Nian Wu; Zhangzhang Si; Chuck Fleming; Song Chun Zhu (ICCV, 2007)

Primal sketch: Integrating structure and texture. - Cheng-en Guo; Song Chun Zhu; Ying Nian Wu (Comput. Vis. Image Underst., 2007)

A Two-Level Generative Model for Cloth Representation and Shape from Shading. - Feng Han 001; Song Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Statistical Principles in Image Modeling. - Ying Nian Wu; Jinhui Li; Ziqiang Liu; Song-Chun Zhu (Technometrics, 2007)

An integrated background model for video surveillance based on primal sketch and 3D scene geometry. - Wenze Hu; Haifeng Gong; Song Chun Zhu; Yongtian Wang (CVPR, 2008)

SAVE: A framework for semantic annotation of visual events. - Mun Wai Lee; Asaad Hakeem; Niels Haering; Song-Chun Zhu (CVPR Workshops, 2008)

A hierarchical and contextual model for aerial image understanding. - Jake Porway; Kristy Wang; Benjamin Z. Yao; Song Chun Zhu (CVPR, 2008)

Learning a scene contextual model for tracking and abnormality detection. - Benjamin Z. Yao; Liang Wang; Song-Chun Zhu (CVPR Workshops, 2008)

Design sparse features for age estimation using hierarchical face model. - Jin-Li Suo; Tianfu Wu 001; Song Chun Zhu; Shiguang Shan; Xilin Chen 001; Wen Gao 001 (FG, 2008)

Perceptual Scale-Space and Its Applications. - Yizhou Wang 001; Song Chun Zhu (Int. J. Comput. Vis., 2008)

A Hierarchical Compositional Model for Face Representation and Sketching. - Zijian Xu 001; Hong Chen; Song Chun Zhu; Jiebo Luo 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Flow mosaicking: Real-time pedestrian counting without scene-specific learning. - Yang Cong; Haifeng Gong; Song Chun Zhu; Yandong Tang (CVPR, 2009)

Layered graph matching by composite cluster sampling with collaborative and competitive interactions. - Liang Lin; Kun Zeng; Xiaobai Liu; Song Chun Zhu (CVPR, 2009)

Trajectory parsing by cluster sampling in spatio-temporal graph. - Xiaobai Liu; Liang Lin; Song Chun Zhu; Hai Jin 001 (CVPR, 2009)

Learning mixed templates for object recognition. - Zhangzhang Si; Haifeng Gong; Ying Nian Wu; Song Chun Zhu (CVPR, 2009)

Evaluating information contributions of bottom-up and top-down processes. - Xiong Yang; Tianfu Wu 001; Song Chun Zhu (ICCV, 2009)

Learning deformable action templates from cluttered videos. - Benjamin Z. Yao; Song Chun Zhu (ICCV, 2009)

Bottom-Up/Top-Down Image Parsing with Attribute Grammar. - Feng Han 001; Song Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

From image parsing to painterly rendering. - Kun Zeng; Mingtian Zhao; Caiming Xiong; Song Chun Zhu (ACM Trans. Graph., 2009)

And-Or Graph Model for Faces. - Feng Min; Jin-Li Suo; Song Chun Zhu (Encyclopedia of Biometrics, 2009)

Discovering scene categories by information projection and cluster sampling. - Dengxin Dai; Tianfu Wu 001; Song Chun Zhu (CVPR, 2010)

Learning a probabilistic model mixing 3D and 2D primitives for view invariant object recognition. - Wenze Hu; Song Chun Zhu (CVPR, 2010)

Learning Artistic Lighting Template from Portrait Photographs. - Xin Jin 015; Mingtian Zhao; Xiaowu Chen 001; Qinping Zhao; Song Chun Zhu (ECCV (4), 2010)

Artistic paper-cut of human portraits. - Meng Meng; Mingtian Zhao; Song Chun Zhu (ACM Multimedia, 2010)

CO3 for ultra-fast and accurate interactive segmentation. - Yibiao Zhao; Song Chun Zhu; Siwei Luo (ACM Multimedia, 2010)

Painterly animation using video semantics and feature correspondence. - Liang Lin; Kun Zeng; Han Lv; Yizhou Wang 001; Yingqing Xu; Song Chun Zhu (NPAR, 2010)

Sisley the abstract painter. - Mingtian Zhao; Song Chun Zhu (NPAR, 2010)

A Hierarchical and Contextual Model for Aerial Image Parsing. - Jake Porway; Qiongchen Wang; Song Chun Zhu (Int. J. Comput. Vis., 2010)

Learning Active Basis Model for Object Detection and Recognition. - Ying Nian Wu; Zhangzhang Si; Haifeng Gong; Song Chun Zhu (Int. J. Comput. Vis., 2010)

Layered Graph Matching with Composite Cluster Sampling. - Liang Lin; Xiaobai Liu; Song Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

A Compositional and Dynamic Model for Face Aging. - Jin-Li Suo; Song Chun Zhu; Shiguang Shan; Xilin Chen 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

I2T: Image Parsing to Text Description. - Benjamin Z. Yao; Xiong Yang; Liang Lin; Mun Wai Lee; Song Chun Zhu (Proc. IEEE, 2010)

Learning explicit and implicit visual manifolds by information projection. - Song Chun Zhu; Kent Shi; Zhangzhang Si (Pattern Recognit. Lett., 2010)

Video Primal Sketch: A generic middle-level representation of video. - Zhi Han; Zongben Xu; Song-Chun Zhu (ICCV, 2011)

Image representation by active curves. - Wenze Hu; Ying Nian Wu; Song-Chun Zhu (ICCV, 2011)

Parsing video events with goal inference and intent prediction. - Mingtao Pei; Yunde Jia; Song-Chun Zhu (ICCV, 2011)

Unsupervised learning of event AND-OR grammar and semantics from video. - Zhangzhang Si; Mingtao Pei; Benjamin Z. Yao; Song-Chun Zhu (ICCV, 2011)

Human parsing using stochastic and-or grammars and rich appearances. - Brandon Rothrock; Song-Chun Zhu (ICCV Workshops, 2011)

Unsupervised learning of stochastic AND-OR templates for object modeling. - Zhangzhang Si; Song-Chun Zhu (ICCV Workshops, 2011)

Inferring social roles in long timespan video sequence. - Jiangen Zhang; Wenze Hu; Benjamin Z. Yao; Yongtian Wang; Song-Chun Zhu (ICCV Workshops, 2011)

Image Parsing with Stochastic Scene Grammar. - Yibiao Zhao; Song Chun Zhu (NIPS, 2011)

Portrait painting using active templates. - Mingtian Zhao; Song Chun Zhu (NPAR, 2011)

Customizing painterly rendering styles using stroke processes. - Mingtian Zhao; Song Chun Zhu (NPAR, 2011)

A Numerical Study of the Bottom-Up and Top-Down Inference Processes in And-Or Graphs. - Tianfu Wu 001; Song Chun Zhu (Int. J. Comput. Vis., 2011)

C4: Exploring Multiple Solutions in Graphical Models by Cluster Sampling. - Jacob Porway; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Hierarchical Space Tiling for Scene Modeling. - Shuo Wang; Yizhou Wang 001; Song-Chun Zhu (ACCV (2), 2012)

Cost-Sensitive Top-Down/Bottom-Up Inference for Multiscale Activity Recognition. - Mohamed R. Amer; Dan Xie; Mingtian Zhao; Sinisa Todorovic; Song Chun Zhu (ECCV (4), 2012)

Reconfigurable templates for robust vehicle detection and classification. - Yang Lv; Benjamin Z. Yao; Yongtian Wang; Song-Chun Zhu (WACV, 2012)

Learning reconfigurable scene representation by tangram model. - Jun Zhu; Tianfu Wu 001; Song-Chun Zhu; Xiaokang Yang 001; Wenjun Zhang 001 (WACV, 2012)

Intrackability: Characterizing Video Statistics and Pursuing Video Representations. - Haifeng Gong; Song Chun Zhu (Int. J. Comput. Vis., 2012)

Learning Hybrid Image Templates (HIT) by Information Projection. - Zhangzhang Si; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Background modeling by subspace learning on spatio-temporal patches. - Youdong Zhao; Haifeng Gong; Yunde Jia; Song-Chun Zhu (Pattern Recognit. Lett., 2012)

Artistic Rendering of Portraits. - Mingtian Zhao; Song Chun Zhu (Image and Video-Based Artistic Stylisation, 2013)

Erratum to: Artistic Rendering of Portraits. - Mingtian Zhao; Song Chun Zhu (Image and Video-Based Artistic Stylisation, 2013)

Structure vs. Appearance and 3D vs. 2D? A Numeric Answer. - Wenze Hu; Zhangzhang Si; Song-Chun Zhu (Shape Perception in Human and Computer Vision, 2013)

Rates for Inductive Learning of Compositional Models. - Adrian Barbu; Maria Pavlovskaia; Song Chun Zhu (AAAI Workshop: Learning Rich Representations from Low-Level Sensors, 2013)

Using Causal Induction in Humans to Learn and Infer Causality from Video. - Amy Sue Fire; Song-Chun Zhu (CogSci, 2013)

Integrating Grammar and Segmentation for Human Pose Estimation. - Brandon Rothrock; Seyoung Park; Song-Chun Zhu (CVPR, 2013)

Discriminatively Trained And-Or Tree Models for Object Detection. - Xi Song; Tianfu Wu 001; Yunde Jia; Song-Chun Zhu (CVPR, 2013)

Weakly Supervised Learning for Attribute Localization in Outdoor Scenes. - Shuo Wang; Jungseock Joo; Yizhou Wang 001; Song Chun Zhu (CVPR, 2013)

Scene Parsing by Integrating Function, Geometry and Appearance Models. - Yibiao Zhao; Song-Chun Zhu (CVPR, 2013)

Beyond Point Clouds: Scene Understanding by Reasoning Geometry and Physics. - Bo Zheng 001; Yibiao Zhao; Joey C. Yu; Katsushi Ikeuchi; Song-Chun Zhu (CVPR, 2013)

Monte Carlo Tree Search for Scheduling Activity Recognition. - Mohamed R. Amer; Sinisa Todorovic; Alan Fern; Song-Chun Zhu (ICCV, 2013)

Cosegmentation and Cosketch by Unsupervised Learning. - Jifeng Dai; Ying Nian Wu; Jie Zhou 001; Song-Chun Zhu (ICCV, 2013)

Human Attribute Recognition by Rich Appearance Dictionary. - Jungseock Joo; Shuo Wang; Song-Chun Zhu (ICCV, 2013)

Modeling Occlusion by Discriminative AND-OR Structures. - Bo Li 031; Wenze Hu; Tianfu Wu 001; Song-Chun Zhu (ICCV, 2013)

Concurrent Action Detection with Structural Prediction. - Ping Wei 001; Nanning Zheng 001; Yibiao Zhao; Song-Chun Zhu (ICCV, 2013)

Modeling 4D Human-Object Interactions for Event and Object Recognition. - Ping Wei 001; Yibiao Zhao; Nanning Zheng 001; Song-Chun Zhu (ICCV, 2013)

Inferring "Dark Matter" and "Dark Energy" from Videos. - Dan Xie; Sinisa Todorovic; Song-Chun Zhu (ICCV, 2013)

Unsupervised Structure Learning of Stochastic And-Or Grammars. - Kewei Tu; Maria Pavlovskaia; Song Chun Zhu (NIPS, 2013)

Learning and parsing video events with goal and intent prediction. - Mingtao Pei; Zhangzhang Si; Benjamin Z. Yao; Song-Chun Zhu (Comput. Vis. Image Underst., 2013)

Learning AND-OR Templates for Object Recognition and Detection. - Zhangzhang Si; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Abstract painting with interactive control of perceptual entropy. - Mingtian Zhao; Song Chun Zhu (ACM Trans. Appl. Percept., 2013)

Video Stylization: Painterly Rendering and Optimization With Content Extraction. - Liang Lin; Kun Zeng; Yizhou Wang 001; Ying-Qing Xu; Song Chun Zhu (IEEE Trans. Circuits Syst. Video Technol., 2013)

Unsupervised Learning of Dictionaries of Hierarchical Compositional Models. - Jifeng Dai; Yi Hong; Wenze Hu; Song-Chun Zhu; Ying Nian Wu (CVPR, 2014)

Visual Persuasion: Inferring Communicative Intents of Images. - Jungseock Joo; Weixin Li 001; Francis F. Steen; Song-Chun Zhu (CVPR, 2014)

Single-View 3D Scene Parsing by Attributed Grammar. - Xiaobai Liu; Yibiao Zhao; Song-Chun Zhu (CVPR, 2014)

Cross-View Action Modeling, Learning, and Recognition. - Jiang Wang 001; Xiaohan Nie; Yin Xia; Ying Wu 001; Song-Chun Zhu (CVPR, 2014)

Learning Inhomogeneous FRAME Models for Object Patterns. - Jianwen Xie; Wenze Hu; Song-Chun Zhu; Ying Nian Wu (CVPR, 2014)

Integrating Context and Occlusion for Car Detection by Hierarchical And-Or Model. - Bo Li 031; Tianfu Wu 001; Song-Chun Zhu (ECCV (6), 2014)

Mapping the Energy Landscape of Non-convex Optimization Problems. - Maria Pavlovskaia; Kewei Tu; Song-Chun Zhu (EMMCVPR, 2014)

Detecting potential falling objects by inferring human action and natural disturbance. - Bo Zheng 001; Yibiao Zhao; Joey C. Yu; Katsushi Ikeuchi; Song-Chun Zhu (ICRA, 2014)

Mapping Energy Landscapes of Non-Convex Learning Problems. - Maria Pavlovskaia; Kewei Tu; Song-Chun Zhu (CoRR, 2014)

Joint Video and Text Parsing for Understanding Events and Answering Queries. - Kewei Tu; Meng Meng; Mun Wai Lee; Tae Eun Choe; Song Chun Zhu (IEEE Multim., 2014)

Animated Pose Templates for Modeling and Detecting Human Actions. - Benjamin Z. Yao; Bruce X. Nie; Zicheng Liu 001; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

A Unified Framework for Human-Robot Knowledge Transfer. - Nishant Shukla; Caiming Xiong; Song-Chun Zhu (AAAI Fall Symposia, 2015)

Represent and Infer Human Theory of Mind for Human-Robot Interaction. - Yibiao Zhao; Steven Holtzen; Tao Gao 004; Song-Chun Zhu (AAAI Fall Symposia, 2015)

Evaluating Human Cognition of Containing Relations with Physical Simulation. - Wei Liang 008; Yibiao Zhao; Yixin Zhu 001; Song-Chun Zhu (CogSci, 2015)

Joint action recognition and pose estimation from video. - Bruce Xiaohan Nie; Caiming Xiong; Song-Chun Zhu (CVPR, 2015)

Joint inference of groups, events and human roles in aerial videos. - Tianmin Shu; Dan Xie; Brandon Rothrock; Sinisa Todorovic; Song-Chun Zhu (CVPR, 2015)

Understanding tools: Task-oriented object modeling, learning and recognition. - Yixin Zhu 001; Yibiao Zhao; Song-Chun Zhu (CVPR, 2015)

Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face. - Jungseock Joo; Francis F. Steen; Song-Chun Zhu (ICCV, 2015)

Attributed Grammars for Joint Estimation of Human Attributes, Part and Pose. - Seyoung Park; Song-Chun Zhu (ICCV, 2015)

Mining And-Or Graphs for Graph Matching and Object Discovery. - Quanshi Zhang; Ying Nian Wu; Song-Chun Zhu (ICCV, 2015)

Joint Image-Text News Topic Detection and Tracking with And-Or Graph Representation. - Weixin Li 001; Jungseock Joo; Hang Qi 001; Song-Chun Zhu (CoRR, 2015)

Learning FRAME Models Using CNN Filters for Knowledge Visualization. - Yang Lu 006; Song-Chun Zhu; Ying Nian Wu (CoRR, 2015)

A Restricted Visual Turing Test for Deep Scene and Event Understanding. - Hang Qi 001; Tianfu Wu 001; Mun Wai Lee; Song-Chun Zhu (CoRR, 2015)

Learning And-Or Models to Represent Context and Occlusion for Car Detection and Viewpoint Estimation. - Tianfu Wu 001; Bo Li 031; Song-Chun Zhu (CoRR, 2015)

Learning Sparse FRAME Models for Natural Image Patterns. - Jianwen Xie; Wenze Hu; Song-Chun Zhu; Ying Nian Wu (Int. J. Comput. Vis., 2015)

Scene Understanding by Reasoning Stability and Safety. - Bo Zheng 001; Yibiao Zhao; Joey C. Yu; Katsushi Ikeuchi; Song-Chun Zhu (Int. J. Comput. Vis., 2015)

Video Primal Sketch: A Unified Middle-Level Representation for Video. - Zhi Han; Zongben Xu; Song-Chun Zhu (J. Math. Imaging Vis., 2015)

Learning 3D Object Templates by Quantizing Geometry and Appearance Spaces. - Wenze Hu; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Learning Hierarchical Space Tiling for Scene Modeling, Parsing and Attribute Tagging. - Shuo Wang; Yizhou Wang 001; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection. - Tianfu Wu 001; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

And-Or Graph Face Model and Its Applications in Artistic Sketching and Aging Simulation. - Jin-Li Suo; Qionghai Dai; Song-Chun Zhu (Encyclopedia of Biometrics, 2015)

Task Learning through Visual Demonstration and Situated Dialogue. - Changsong Liu; Joyce Y. Chai; Nishant Shukla; Song-Chun Zhu (AAAI Workshop: Symbiotic Cognitive Systems, 2016)

Learning FRAME Models Using CNN Filters. - Yang Lu 006; Song-Chun Zhu; Ying Nian Wu (AAAI, 2016)

Probabilistic Simulation Predicts Human Performance on Viscous Fluid-Pouring Problem. - James Kubricht; Chenfanfu Jiang; Yixin Zhu 001; Song-Chun Zhu; Demetri Terzopoulos; Hongjing Lu (CogSci, 2016)

Critical Features of Joint Actions that Signal Human Interaction. - Tianmin Shu; Steven M. Thurman; Dawn Chen; Song-Chun Zhu; Hongjing Lu (CogSci, 2016)

Recognizing Car Fluents from Video. - Bo Li 031; Tianfu Wu 001; Caiming Xiong; Song-Chun Zhu (CVPR, 2016)

Multi-view People Tracking via Hierarchical Trajectory Composition. - Yuanlu Xu; Xiaobai Liu; Yang Liu 266; Song-Chun Zhu (CVPR, 2016)

Inferring Forces and Learning Human Utilities from Videos. - Yixin Zhu 001; Chenfanfu Jiang; Yibiao Zhao; Demetri Terzopoulos; Song-Chun Zhu (CVPR, 2016)

Jointly Learning Grounded Task Structures from Language Instruction and Visual Demonstration. - Changsong Liu; Shaohua Yang; Sari Saba-Sadiya; Nishant Shukla; Yunzhong He; Song-Chun Zhu; Joyce Yue Chai (EMNLP, 2016)

A Theory of Generative ConvNet. - Jianwen Xie; Yang Lu 006; Song-Chun Zhu; Ying Nian Wu (ICML, 2016)

Robot learning with a spatial, temporal, and causal and-or graph. - Caiming Xiong; Nishant Shukla; Wenlong Xiong; Song-Chun Zhu (ICRA, 2016)

What Is Where: Inferring Containment Relations from Videos. - Wei Liang 008; Yibiao Zhao; Yixin Zhu 001; Song-Chun Zhu (IJCAI, 2016)

Learning Social Affordance for Human-Robot Interaction. - Tianmin Shu; Michael S. Ryoo; Song-Chun Zhu (IJCAI, 2016)

Inferring human intent from video by sampling hierarchical plans. - Steven Holtzen; Yibiao Zhao; Tao Gao 004; Joshua B. Tenenbaum; Song-Chun Zhu (IROS, 2016)

Grounded Semantic Role Labeling. - Shaohua Yang; Qiaozi Gao; Changsong Liu; Caiming Xiong; Song-Chun Zhu; Joyce Y. Chai (HLT-NAACL, 2016)

A virtual reality platform for dynamic human-scene interaction. - Jenny Lin; Xingwen Guo; Jingyu Shao; Chenfanfu Jiang; Yixin Zhu 001; Song-Chun Zhu (SIGGRAPH ASIA Virtual Reality meets Physical Reality, 2016)

Evaluating physical quantities and learning human utilities from RGBD videos. - Yixin Zhu 001; Chenfanfu Jiang; Yibiao Zhao; Demetri Terzopoulos; Song-Chun Zhu (SIGGRAPH ASIA Virtual Reality meets Physical Reality, 2016)

Learning Generative ConvNet with Continuous Latent Factors by Alternating Back-Propagation. - Tian Han 001; Yang Lu 006; Song-Chun Zhu; Ying Nian Wu (CoRR, 2016)

Attribute And-Or Grammar for Joint Parsing of Human Attributes, Part and Pose. - Seyoung Park; Bruce Xiaohan Nie; Song-Chun Zhu (CoRR, 2016)

Cooperative Training of Descriptor and Generator Networks. - Jianwen Xie; Yang Lu 006; Song-Chun Zhu; Ying Nian Wu (CoRR, 2016)

Modeling and Inferring Human Intents and Latent Functional Objects for Trajectory Prediction. - Dan Xie; Tianmin Shu; Sinisa Todorovic; Song-Chun Zhu (CoRR, 2016)

Synthesizing Dynamic Textures and Sounds by Spatial-Temporal Generative ConvNet. - Jianwen Xie; Song-Chun Zhu; Ying Nian Wu (CoRR, 2016)

Multi-Shot Mining Semantic Part Concepts in CNNs. - Quanshi Zhang; Ruiming Cao; Ying Nian Wu; Song-Chun Zhu (CoRR, 2016)

Learning And-Or Model to Represent Context and Occlusion for Car Detection and Viewpoint Estimation. - Tianfu Wu 001; Bo Li 031; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

A Reconfigurable Tangram Model for Scene Representation and Categorization. - Jun Zhu; Tianfu Wu 001; Song-Chun Zhu; Xiaokang Yang 001; Wenjun Zhang 001 (IEEE Trans. Image Process., 2016)

Learning Perceptual Causality from Video. - Amy Sue Fire; Song-Chun Zhu (ACM Trans. Intell. Syst. Technol., 2016)

Alternating Back-Propagation for Generator Network. - Tian Han 001; Yang Lu 006; Song-Chun Zhu; Ying Nian Wu (AAAI, 2017)

Cross-View People Tracking by Scene-Centered Spatio-Temporal Parsing. - Yuanlu Xu; Xiaobai Liu; Lei Qin; Song-Chun Zhu (AAAI, 2017)

Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning. - Quanshi Zhang; Ruiming Cao; Ying Nian Wu; Song-Chun Zhu (AAAI, 2017)

Inferring Context Through Scene Understanding. - Michael Walton; Doug Lange; Song-Chun Zhu (AAAI Spring Symposia, 2017)

Consistent Probabilistic Simulation Underlying Human Judgment in Substance Dynamics. - James Kubricht; Yixin Zhu 001; Chenfanfu Jiang; Demetri Terzopoulos; Song-Chun Zhu; Hongjing Lu (CogSci, 2017)

Visuomotor Adaptation and Sensory Recalibration in Reversed Hand Movement Task. - Jenny Lin; Yixin Zhu 001; James Kubricht; Song-Chun Zhu; Hongjing Lu (CogSci, 2017)

Inferring Human Interaction from Motion Trajectories in Aerial Videos. - Tianmin Shu; Yujia Peng; Lifeng Fan; Hongjing Lu; Song-Chun Zhu (CogSci, 2017)

Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics. - Nishant Shukla; Yunzhong He; Frank Chen; Song-Chun Zhu (CoRL, 2017)

Inferring Hidden Statuses and Actions in Video by Causal Reasoning. - Amy Sue Fire; Song-Chun Zhu (CVPR Workshops, 2017)

CERN: Confidence-Energy Recurrent Network for Group Activity Recognition. - Tianmin Shu; Sinisa Todorovic; Song-Chun Zhu (CVPR, 2017)

Generative Hierarchical Learning of Sparse FRAME Models. - Jianwen Xie; Yifei Xu; Erik Nijkamp; Ying Nian Wu; Song-Chun Zhu (CVPR, 2017)

Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet. - Jianwen Xie; Song-Chun Zhu; Ying Nian Wu (CVPR, 2017)

Mining Object Parts from CNNs via Active Question-Answering. - Quanshi Zhang; Ruiming Cao; Ying Nian Wu; Song-Chun Zhu (CVPR, 2017)

Jointly Recognizing Object Fluents and Tasks in Egocentric Videos. - Yang Liu 266; Ping Wei 001; Song-Chun Zhu (ICCV, 2017)

Monocular 3D Human Pose Estimation by Predicting Depth on Joints. - Bruce Xiaohan Nie; Ping Wei 001; Song-Chun Zhu (ICCV, 2017)

Predicting Human Activities Using Stochastic Grammar. - Siyuan Qi; Siyuan Huang 001; Ping Wei 001; Song-Chun Zhu (ICCV, 2017)

Learning social affordance grammar from videos: Transferring human interactions to human-robot interactions. - Tianmin Shu; Xiaofeng Gao 002; Michael S. Ryoo; Song-Chun Zhu (ICRA, 2017)

Inferring Human Attention by Learning Latent Intentions. - Ping Wei 001; Dan Xie; Nanning Zheng 001; Song-Chun Zhu (IJCAI, 2017)

Single-Image 3D Scene Parsing Using Geometric Commonsense. - Chengcheng Yu; Xiaobai Liu; Song-Chun Zhu (IJCAI, 2017)

Feeling the force: Integrating force and pose for fluent discovery through imitation learning to open medicine bottles. - Mark Edmonds; Feng Gao 013; Xu Xie 001; Hangxin Liu; Siyuan Qi; Yixin Zhu 001; Brandon Rothrock; Song-Chun Zhu (IROS, 2017)

A glove-based system for studying hand-object manipulation via joint pose and force sensing. - Hangxin Liu; Xu Xie 001; Matt Millar; Mark Edmonds; Feng Gao 013; Yixin Zhu 001; Veronica J. Santos; Brandon Rothrock; Song-Chun Zhu (IROS, 2017)

Configurable, Photorealistic Image Rendering and Ground Truth Synthesis by Sampling Stochastic Grammars Representing Indoor Scenes. - Chenfanfu Jiang; Yixin Zhu 001; Siyuan Qi; Siyuan Huang 001; Jenny Lin; Xingwen Guo; Lap-Fai Yu; Demetri Terzopoulos; Song-Chun Zhu (CoRR, 2017)

Interactively Transferring CNN Patterns for Part Localization. - Quanshi Zhang; Ruiming Cao; Shengming Zhang; Mark Edmonds; Ying Nian Wu; Song-Chun Zhu (CoRR, 2017)

A Cost-Sensitive Visual Question-Answer Framework for Mining a Deep And-OR Object Semantics from Web Images. - Quanshi Zhang; Ying Nian Wu; Song-Chun Zhu (CoRR, 2017)

Joint Parsing of Cross-view Scenes with Spatio-temporal Semantic Parse Graphs. - Hang Qi 001; Yuanlu Xu; Tao Yuan; Tianfu Wu 001; Song-Chun Zhu (CoRR, 2017)

A Causal And-Or Graph Model for Visibility Fluent Reasoning in Human-Object Interactions. - Lei Qin; Yuanlu Xu; Xiaobai Liu; Song-Chun Zhu (CoRR, 2017)

Learning Multi-grid Generative ConvNets by Minimal Contrastive Divergence. - Ruiqi Gao; Yang Lu 006; Junpei Zhou; Song-Chun Zhu; Ying Nian Wu (CoRR, 2017)

Learning Knowledge-guided Pose Grammar Machine for 3D Human Pose Estimation. - Haoshu Fang; Yuanlu Xu; Wenguan Wang; Xiaobai Liu; Song-Chun Zhu (CoRR, 2017)

Modeling 4D Human-Object Interactions for Joint Event Segmentation, Recognition, and Object Localization. - Ping Wei 001; Yibiao Zhao; Nanning Zheng 001; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Online Object Tracking, Learning and Parsing with And-Or Graphs. - Tianfu Wu 001; Yang Lu 006; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Joint Image-Text News Topic Detection and Tracking by Multimodal Topic And-Or Graph. - Weixin Li 001; Jungseock Joo; Hang Qi 001; Song-Chun Zhu (IEEE Trans. Multim., 2017)

The Martian: Examining Human Physical Judgments across Virtual Gravity Fields. - Tian Ye 005; Siyuan Qi; James Kubricht; Yixin Zhu 001; Hongjing Lu; Song-Chun Zhu (IEEE Trans. Vis. Comput. Graph., 2017)

Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation. - Haoshu Fang; Yuanlu Xu; Wenguan Wang; Xiaobai Liu; Song-Chun Zhu (AAAI, 2018)

Tracking Occluded Objects and Recovering Incomplete Trajectories by Reasoning About Containment Relations and Human Actions. - Wei Liang 008; Yixin Zhu 001; Song-Chun Zhu (AAAI, 2018)

Scene-Centric Joint Parsing of Cross-View Videos. - Hang Qi 001; Yuanlu Xu; Tao Yuan; Tianfu Wu 001; Song-Chun Zhu (AAAI, 2018)

Interpreting CNN Knowledge via an Explanatory Graph. - Quanshi Zhang; Ruiming Cao; Feng Shi 006; Ying Nian Wu; Song-Chun Zhu (AAAI, 2018)

Examining CNN Representations With Respect to Dataset Bias. - Quanshi Zhang; Wenguan Wang; Song-Chun Zhu (AAAI, 2018)

Human Causal Transfer: Challenges for Deep Reinforcement Learning. - Mark Edmonds; James Kubricht; Colin Summers; Yixin Zhu 001; Brandon Rothrock; Song-Chun Zhu; Hongjing Lu (CogSci, 2018)

Inferring Shared Attention in Social Scene Videos. - Lifeng Fan; Yixin Chen 003; Ping Wei 001; Wenguan Wang; Song-Chun Zhu (CVPR, 2018)

Learning Generative ConvNets via Multi-Grid Modeling and Sampling. - Ruiqi Gao; Yang Lu 006; Junpei Zhou; Song-Chun Zhu; Ying Nian Wu (CVPR, 2018)

Human-Centric Indoor Scene Synthesis Using Stochastic Grammar. - Siyuan Qi; Yixin Zhu 001; Siyuan Huang 001; Chenfanfu Jiang; Song-Chun Zhu (CVPR, 2018)

Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification. - Wenguan Wang; Yuanlu Xu; Jianbing Shen; Song-Chun Zhu (CVPR, 2018)

Where and Why Are They Looking? Jointly Inferring Human Attention and Intentions in Complex Tasks. - Ping Wei 001; Yang Liu 266; Tianmin Shu; Nanning Zheng 001; Song-Chun Zhu (CVPR, 2018)

Learning Descriptor Networks for 3D Shape Synthesis and Analysis. - Jianwen Xie; Zilong Zheng; Ruiqi Gao; Wenguan Wang; Song-Chun Zhu; Ying Nian Wu (CVPR, 2018)

A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects. - Yuanlu Xu; Lei Qin; Xiaobai Liu; Jianwen Xie; Song-Chun Zhu (CVPR, 2018)

Interpretable Convolutional Neural Networks. - Quanshi Zhang; Ying Nian Wu; Song-Chun Zhu (CVPR, 2018)

Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image. - Siyuan Huang 001; Siyuan Qi; Yixin Zhu 001; Yinxue Xiao; Yuanlu Xu; Song-Chun Zhu (ECCV (7), 2018)

Learning Human-Object Interactions by Graph Parsing Neural Networks. - Siyuan Qi; Wenguan Wang; Baoxiong Jia; Jianbing Shen; Song-Chun Zhu (ECCV (9), 2018)

Generalized Earley Parser: Bridging Symbolic Grammars and Sequence Data for Future Prediction. - Siyuan Qi; Baoxiong Jia; Song-Chun Zhu (ICML, 2018)

Interactive Robot Knowledge Patching Using Augmented Reality. - Hangxin Liu; Yaofang Zhang; Wenwen Si; Xu Xie 001; Yixin Zhu 001; Song-Chun Zhu (ICRA, 2018)

Intent-Aware Multi-Agent Reinforcement Learning. - Siyuan Qi; Song-Chun Zhu (ICRA, 2018)

Unsupervised Learning of Hierarchical Models for Hand-Object Interactions. - Xu Xie 001; Hangxin Liu; Mark Edmonds; Feng Gao 013; Siyuan Qi; Yixin Zhu 001; Brandon Rothrock; Song-Chun Zhu (ICRA, 2018)

Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation. - Siyuan Huang 001; Siyuan Qi; Yinxue Xiao; Yixin Zhu 001; Ying Nian Wu; Song-Chun Zhu (NeurIPS, 2018)

Spatially Perturbed Collision Sounds Attenuate Perceived Causality in 3D Launching Events. - Duotun Wang; James Kubricht; Yixin Zhu 001; Wei Liang 008; Song-Chun Zhu; Chenfanfu Jiang; Hongjing Lu (VR, 2018)

Interpreting CNNs via Decision Trees. - Quanshi Zhang; Yu Yang 007; Ying Nian Wu; Song-Chun Zhu (CoRR, 2018)

Building a Telescope to Look Into High-Dimensional Image Spaces. - Mitch Hill; Erik Nijkamp; Song-Chun Zhu (CoRR, 2018)

Network Transplanting. - Quanshi Zhang; Yu Yang 007; Ying Nian Wu; Song-Chun Zhu (CoRR, 2018)

Unsupervised Learning of Neural Networks to Explain Neural Networks. - Quanshi Zhang; Yu Yang 007; Yuchen Liu; Ying Nian Wu; Song-Chun Zhu (CoRR, 2018)

Deformable Generator Network: Unsupervised Disentanglement of Appearance and Geometry. - Xianglei Xing; Ruiqi Gao; Tian Han 001; Song-Chun Zhu; Ying Nian Wu (CoRR, 2018)

Interactive Agent Modeling by Learning to Probe. - Tianmin Shu; Caiming Xiong; Ying Nian Wu; Song-Chun Zhu (CoRR, 2018)

A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative Models. - Ying Nian Wu; Ruiqi Gao; Tian Han 001; Song-Chun Zhu (CoRR, 2018)

Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion. - Ruiqi Gao; Jianwen Xie; Song-Chun Zhu; Ying Nian Wu (CoRR, 2018)

Deeper Interpretability of Deep Networks. - Tian Xu; Jiayu Zhan; Oliver G. B. Garrod; Philip H. S. Torr; Song-Chun Zhu; Robin A. A. Ince; Philippe G. Schyns (CoRR, 2018)

Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering. - Quanshi Zhang; Ruiming Cao; Ying Nian Wu; Song-Chun Zhu (CoRR, 2018)

Explanatory Graphs for CNNs. - Quanshi Zhang; Xin Wang 108; Ruiming Cao; Ying Nian Wu; Feng Shi 006; Song-Chun Zhu (CoRR, 2018)

Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model. - Tian Han 001; Erik Nijkamp; Xiaolin Fang 002; Mitch Hill; Song-Chun Zhu; Ying Nian Wu (CoRR, 2018)

Mining deep And-Or object structures via cost-sensitive question-answer-based active annotations. - Quanshi Zhang; Ying Nian Wu; Hao Zhang 063; Song-Chun Zhu (Comput. Vis. Image Underst., 2018)

Configurable 3D Scene Synthesis and 2D Image Rendering with Per-pixel Ground Truth Using Stochastic Grammars. - Chenfanfu Jiang; Siyuan Qi; Yixin Zhu 001; Siyuan Huang 001; Jenny Lin; Lap-Fai Yu; Demetri Terzopoulos; Song-Chun Zhu (Int. J. Comput. Vis., 2018)

Visual interpretability for deep learning: a survey. - Quanshi Zhang; Song-Chun Zhu (Frontiers Inf. Technol. Electron. Eng., 2018)

Single-View 3D Scene Reconstruction and Parsing by Attribute Grammar. - Xiaobai Liu; Yibiao Zhao; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Attribute And-Or Grammar for Joint Parsing of Human Pose, Parts and Attributes. - Seyoung Park; Bruce Xiaohan Nie; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Learning and Inferring "Dark Matter" and Predicting Human Intents and Trajectories in Videos. - Dan Xie; Tianmin Shu; Sinisa Todorovic; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Perception of Human Interaction Based on Motion Trajectories: From Aerial Videos to Decontextualized Animations. - Tianmin Shu; Yujia Peng; Lifeng Fan; Hongjing Lu; Song-Chun Zhu (Top. Cogn. Sci., 2018)

Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions. - Hangxin Liu; Chi Zhang 017; Yixin Zhu 001; Chenfanfu Jiang; Song-Chun Zhu (AAAI, 2019)

Recognizing Unseen Attribute-Object Pair with Generative Model. - Zhixiong Nan; Yang Liu 266; Nanning Zheng 001; Song-Chun Zhu (AAAI, 2019)

Learning Dynamic Generator Model by Alternating Back-Propagation through Time. - Jianwen Xie; Ruiqi Gao; Zilong Zheng; Song-Chun Zhu; Ying Nian Wu (AAAI, 2019)

MetaStyle: Three-Way Trade-off among Speed, Flexibility, and Quality in Neural Style Transfer. - Chi Zhang 017; Yixin Zhu 001; Song-Chun Zhu (AAAI, 2019)

VRGym: a virtual testbed for physical and interactive AI. - Xu Xie 001; Hangxin Liu; Zhenliang Zhang 002; Yuxing Qiu; Feng Gao 013; Siyuan Qi; Yixin Zhu 001; Song-Chun Zhu (ACM TUR-C, 2019)

Decomposing Human Causal Learning: Bottom-up Associative Learning and Top-down Schema Reasoning. - Mark Edmonds; Siyuan Qi; Yixin Zhu 001; James Kubricht; Song-Chun Zhu; Hongjing Lu (CogSci, 2019)

Partitioning the Perception of Physical and Social Events Within a Unified Psychological Space. - Tianmin Shu; Yujia Peng; Hongjing Lu; Song-Chun Zhu (CogSci, 2019)

Explainable AI as Collaborative Task Solving. - Arjun R. Akula; Changsong Liu; Sinisa Todorovic; Joyce Y. Chai; Song-Chun Zhu (CVPR Workshops, 2019)

Natural Language Interaction with Explainable AI Models. - Arjun R. Akula; Sinisa Todorovic; Joyce Y. Chai; Song-Chun Zhu (CVPR Workshops, 2019)

Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model. - Tian Han 001; Erik Nijkamp; Xiaolin Fang 002; Mitch Hill; Song-Chun Zhu; Ying Nian Wu (CVPR, 2019)

Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network. - Xianglei Xing; Tian Han 001; Ruiqi Gao; Song-Chun Zhu; Ying Nian Wu (CVPR, 2019)

RAVEN: A Dataset for Relational and Analogical Visual REasoNing. - Chi Zhang 017; Feng Gao 013; Baoxiong Jia; Yixin Zhu 001; Song-Chun Zhu (CVPR, 2019)

Reasoning Visual Dialogs With Structural and Partial Observations. - Zilong Zheng; Wenguan Wang; Siyuan Qi; Song-Chun Zhu (CVPR, 2019)

Sparse Winograd Convolutional Neural Networks on Small-scale Systolic Arrays. - Feng Shi 006; Haochen Li; Yuhe Gao; Benjamin Kuschner; Song-Chun Zhu (FPGA, 2019)

Holistic++ Scene Understanding: Single-View 3D Holistic Scene Parsing and Human Pose Estimation With Human-Object Interaction and Physical Commonsense. - Yixin Chen 003; Siyuan Huang 001; Tao Yuan; Yixin Zhu 001; Siyuan Qi; Song-Chun Zhu (ICCV, 2019)

Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning. - Lifeng Fan; Wenguan Wang; Song-Chun Zhu; Xinyu Tang 003; Siyuan Huang 001 (ICCV, 2019)

DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare. - Yuanlu Xu; Song-Chun Zhu; Tony Tung (ICCV, 2019)

Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion. - Ruiqi Gao; Jianwen Xie; Song-Chun Zhu; Ying Nian Wu (ICLR (Poster), 2019)

High-Fidelity Grasping in Virtual Reality using a Glove-based System. - Hangxin Liu; Zhenliang Zhang 002; Xu Xie 001; Yixin Zhu 001; Yue Liu 005; Yongtian Wang; Song-Chun Zhu (ICRA, 2019)

Self-Supervised Incremental Learning for Sound Source Localization in Complex Indoor Environment. - Hangxin Liu; Zeyu Zhang 001; Yixin Zhu 001; Song-Chun Zhu (ICRA, 2019)

Learning Virtual Grasp with Failed Demonstrations via Bayesian Inverse Reinforcement Learning. - Xu Xie 001; Changyang Li; Chi Zhang 017; Yixin Zhu 001; Song-Chun Zhu (IROS, 2019)

PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points. - Siyuan Huang 001; Yixin Chen 003; Tao Yuan; Siyuan Qi; Yixin Zhu 001; Song-Chun Zhu (NeurIPS, 2019)

Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model. - Erik Nijkamp; Mitch Hill; Song-Chun Zhu; Ying Nian Wu (NeurIPS, 2019)

Learning Perceptual Inference by Contrasting. - Chi Zhang 017; Baoxiong Jia; Feng Gao 013; Yixin Zhu 001; Hongjing Lu; Song-Chun Zhu (NeurIPS, 2019)

Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks. - Zenan Ling; Haotian Ma; Yu Yang 007; Robert C. Qiu; Song-Chun Zhu; Quanshi Zhang (CoRR, 2019)

Interpretable CNNs. - Quanshi Zhang; Ying Nian Wu; Song-Chun Zhu (CoRR, 2019)

Inducing Sparse Coding and And-Or Grammar from Generator Network. - Xianglei Xing; Song-Chun Zhu; Ying Nian Wu (CoRR, 2019)

Multimodal Conditional Learning with Fast Thinking Policy-like Model and Slow Thinking Planner-like Model. - Jianwen Xie; Zilong Zheng; Xiaolin Fang 002; Song-Chun Zhu; Ying Nian Wu (CoRR, 2019)

Learning Vector Representation of Content and Matrix Representation of Change: Towards a Representational Model of V1. - Ruiqi Gao; Jianwen Xie; Song-Chun Zhu; Ying Nian Wu (CoRR, 2019)

Visual Discourse Parsing. - Arjun R. Akula; Song-Chun Zhu (CoRR, 2019)

VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning. - Xiaofeng Gao 002; Ran Gong; Tianmin Shu; Xu Xie 001; Shu Wang 002; Song-Chun Zhu (CoRR, 2019)

On Learning Non-Convergent Short-Run MCMC Toward Energy-Based Model. - Erik Nijkamp; Song-Chun Zhu; Ying Nian Wu (CoRR, 2019)

HUGE2: a Highly Untangled Generative-model Engine for Edge-computing. - Feng Shi 006; Ziheng Xu; Tao Yuan; Song-Chun Zhu (CoRR, 2019)

Towards Interpretable Image Synthesis by Learning Sparsely Connected AND-OR Networks. - Xianglei Xing; Tianfu Wu 001; Song-Chun Zhu; Ying Nian Wu (CoRR, 2019)

X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust. - Arjun R. Akula; Changsong Liu; Sari Saba-Sadiya; Hongjing Lu; Sinisa Todorovic; Joyce Y. Chai; Song-Chun Zhu (CoRR, 2019)

Representation Learning: A Statistical Perspective. - Jianwen Xie; Ruiqi Gao; Erik Nijkamp; Song-Chun Zhu; Ying Nian Wu (CoRR, 2019)

Learning Deep Generative Models with Short Run Inference Dynamics. - Erik Nijkamp; Bo Pang 004; Tian Han 001; Linqi Zhou; Song-Chun Zhu; Ying Nian Wu (CoRR, 2019)

A tale of two explanations: Enhancing human trust by explaining robot behavior. - Mark Edmonds; Feng Gao 013; Hangxin Liu; Xu Xie 001; Siyuan Qi; Brandon Rothrock; Yixin Zhu 001; Ying Nian Wu; Hongjing Lu; Song-Chun Zhu (Sci. Robotics, 2019)

CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines. - Arjun R. Akula; Shuai Wang; Song-Chun Zhu (AAAI, 2020)

Theory-Based Causal Transfer: Integrating Instance-Level Induction and Abstract-Level Structure Learning. - Mark Edmonds; Xiaojian Ma 001; Siyuan Qi; Yixin Zhu 001; Hongjing Lu; Song-Chun Zhu (AAAI, 2020)

On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models. - Erik Nijkamp; Mitch Hill; Tian Han 001; Song-Chun Zhu; Ying Nian Wu (AAAI, 2020)

Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns. - Jianwen Xie; Ruiqi Gao; Zilong Zheng; Song-Chun Zhu; Ying Nian Wu (AAAI, 2020)

Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning. - Wenhe Zhang; Chi Zhang 017; Yixin Zhu 001; Song-Chun Zhu (AAAI, 2020)

Words Aren't Enough, Their Order Matters: On the Robustness of Grounding Visual Referring Expressions. - Arjun R. Akula; Spandana Gella; Yaser Al-Onaizan; Song-Chun Zhu; Siva Reddy (ACL, 2020)

Joint Training of Variational Auto-Encoder and Latent Energy-Based Model. - Tian Han 001; Erik Nijkamp; Linqi Zhou; Bo Pang 004; Song-Chun Zhu; Ying Nian Wu (CVPR, 2020)

Inducing Hierarchical Compositional Model by Sparsifying Generator Network. - Xianglei Xing; Tianfu Wu 001; Song-Chun Zhu; Ying Nian Wu (CVPR, 2020)

LEMMA: A Multi-view Dataset for LEarning Multi-agent Multi-task Activities. - Baoxiong Jia; Yixin Chen 003; Siyuan Huang 001; Yixin Zhu 001; Song-Chun Zhu (ECCV (26), 2020)

A Competence-Aware Curriculum for Visual Concepts Learning via Question Answering. - Qing Li 003; Siyuan Huang 001; Yining Hong; Song-Chun Zhu (ECCV (2), 2020)

Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference. - Erik Nijkamp; Bo Pang 004; Tian Han 001; Linqi Zhou; Song-Chun Zhu; Ying Nian Wu (ECCV (6), 2020)

Structured Attention for Unsupervised Dialogue Structure Induction. - Liang Qiu 001; Yizhou Zhao; Weiyan Shi; Yuan Liang 001; Feng Shi 006; Tao Yuan; Zhou Yu; Song-Chun Zhu (EMNLP (1), 2020)

Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning. - Qing Li 003; Siyuan Huang 001; Yining Hong; Yixin Chen 003; Ying Nian Wu; Song-Chun Zhu (ICML, 2020)

Joint Inference of States, Robot Knowledge, and Human (False-)Beliefs. - Tao Yuan; Hangxin Liu; Lifeng Fan; Zilong Zheng; Tao Gao 004; Yixin Zhu 001; Song-Chun Zhu (ICRA, 2020)

Congestion-aware Evacuation Routing using Augmented Reality Devices. - Zeyu Zhang 001; Hangxin Liu; Ziyuan Jiao; Yixin Zhu 001; Song-Chun Zhu (ICRA, 2020)

Graph-based Hierarchical Knowledge Representation for Robot Task Transfer from Virtual to Physical World. - Zhenliang Zhang 002; Yixin Zhu 001; Song-Chun Zhu (IROS, 2020)

Human-Robot Interaction in a Shared Augmented Reality Workspace. - Shuwen Qiu; Hangxin Liu; Zeyu Zhang 001; Yixin Zhu 001; Song-Chun Zhu (IROS, 2020)

Learning Latent Space Energy-Based Prior Model. - Bo Pang 004; Tian Han 001; Erik Nijkamp; Song-Chun Zhu; Ying Nian Wu (NeurIPS, 2020)

Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks. - Xiaofeng Gao 002; Ran Gong; Yizhou Zhao; Shu Wang 002; Tianmin Shu; Song-Chun Zhu (RO-MAN, 2020)

Actional-Perceptual Causality: Concepts and Inductive Learning for AI and Robotics. - Seng-Beng Ho; Mark Edmonds; Song-Chun Zhu (SSCI, 2020)

Emergence of Pragmatics from Referential Game between Theory of Mind Agents. - Luyao Yuan; Zipeng Fu; Jingyue Shen; Lu Xu; Junhong Shen; Song-Chun Zhu (CoRR, 2020)

Generative PointNet: Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification. - Jianwen Xie; Yifei Xu; Zilong Zheng; Song-Chun Zhu; Ying Nian Wu (CoRR, 2020)

Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense. - Yixin Zhu 001; Tao Gao 004; Lifeng Fan; Siyuan Huang 001; Mark Edmonds; Hangxin Liu; Feng Gao 013; Chi Zhang 017; Siyuan Qi; Ying Nian Wu; Joshua B. Tenenbaum; Song-Chun Zhu (CoRR, 2020)

Learning Energy-based Model with Flow-based Backbone by Neural Transport MCMC. - Erik Nijkamp; Ruiqi Gao; Pavel Sountsov; Srinivas Vasudevan; Bo Pang 004; Song-Chun Zhu; Ying Nian Wu (CoRR, 2020)

A Representational Model of Grid Cells Based on Matrix Lie Algebras. - Ruiqi Gao; Jianwen Xie; Song-Chun Zhu; Ying Nian Wu (CoRR, 2020)

Vertical-Horizontal Structured Attention for Generating Music with Chords. - Yizhou Zhao; Liang Qiu 001; Wensi Ai; Feng Shi 006; Song-Chun Zhu (CoRR, 2020)

Weighted Entropy Modification for Soft Actor-Critic. - Yizhou Zhao; Song-Chun Zhu (CoRR, 2020)

Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation. - Sirui Xie; Feng Gao 013; Song-Chun Zhu (CoRR, 2020)

Cooperative Training of Descriptor and Generator Networks. - Jianwen Xie; Yang Lu 006; Ruiqi Gao; Song-Chun Zhu; Ying Nian Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Learning to infer human attention in daily activities. - Zhixiong Nan; Tianmin Shu; Ran Gong; Shu Wang 002; Ping Wei 001; Song-Chun Zhu; Nanning Zheng 001 (Pattern Recognit., 2020)

A massively parallel and scalable multi-CPU material point method. - Xinlei Wang; Yuxing Qiu; Stuart R. Slattery; Yu Fang; Minchen Li; Song-Chun Zhu; Yixin Zhu 001; Min Tang 001; Dinesh Manocha; Chenfanfu Jiang (ACM Trans. Graph., 2020)

Learning by Fixing: Solving Math Word Problems with Weak Supervision. - Yining Hong; Qing Li 003; Daniel Ciao; Siyuan Huang 001; Song-Chun Zhu (AAAI, 2021)

SMART: A Situation Model for Algebra Story Problems via Attributed Grammar. - Yining Hong; Qing Li 003; Ran Gong; Daniel Ciao; Siyuan Huang 001; Song-Chun Zhu (AAAI, 2021)

Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation. - Jianwen Xie; Zilong Zheng; Xiaolin Fang 002; Song-Chun Zhu; Ying Nian Wu (AAAI, 2021)

Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning. - Pan Lu; Ran Gong; Shibiao Jiang; Liang Qiu 001; Siyuan Huang 001; Xiaodan Liang; Song-Chun Zhu (ACL/IJCNLP (1), 2021)

SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues. - Liang Qiu 001; Yuan Liang 001; Yizhou Zhao; Pan Lu; Baolin Peng; Zhou Yu; Ying Nian Wu; Song-Chun Zhu (ACL/IJCNLP (1), 2021)

GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning. - Zilong Zheng; Shuwen Qiu; Lifeng Fan; Yixin Zhu 001; Song-Chun Zhu (ACL/IJCNLP (Findings), 2021)

ACRE: Abstract Causal REasoning Beyond Covariation. - Chi Zhang 017; Baoxiong Jia; Mark Edmonds; Song-Chun Zhu; Yixin Zhu 001 (CVPR, 2021)

Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution. - Chi Zhang 017; Baoxiong Jia; Song-Chun Zhu; Yixin Zhu 001 (CVPR, 2021)

Learning Triadic Belief Dynamics in Nonverbal Communication From Videos. - Lifeng Fan; Shuwen Qiu; Zilong Zheng; Tao Gao 004; Song-Chun Zhu; Yixin Zhu 001 (CVPR, 2021)

Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification. - Jianwen Xie; Yifei Xu; Zilong Zheng; Song-Chun Zhu; Ying Nian Wu (CVPR, 2021)

Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis. - Yaxuan Zhu; Ruiqi Gao; Siyuan Huang 001; Song-Chun Zhu; Ying Nian Wu (CVPR, 2021)

CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization. - Arjun R. Akula; Soravit Changpinyo; Boqing Gong; Piyush Sharma; Song-Chun Zhu; Radu Soricut (EMNLP (1), 2021)

Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions. - Arjun R. Akula; Spandana Gella; Keze Wang; Song-Chun Zhu; Siva Reddy (EMNLP (1), 2021)

YouRefIt: Embodied Reference Understanding with Language and Gesture. - Yixin Chen 003; Qing Li 003; Deqian Kong; Yik Lun Kei; Song-Chun Zhu; Tao Gao 004; Yixin Zhu 001; Siyuan Huang 001 (ICCV, 2021)

VLGrammar: Grounded Grammar Induction of Vision and Language. - Yining Hong; Qing Li 003; Song-Chun Zhu; Siyuan Huang 001 (ICCV, 2021)

Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds. - Siyuan Huang 001; Yichen Xie 002; Song-Chun Zhu; Yixin Zhu 001 (ICCV, 2021)

Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models. - Mitch Hill; Jonathan Craig Mitchell; Song-Chun Zhu (ICLR, 2021)

Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance. - Xu Xie 001; Chi Zhang 017; Yixin Zhu 001; Ying Nian Wu; Song-Chun Zhu (ICRA, 2021)

Reconstructing Interactive 3D Scenes by Panoptic Mapping and CAD Model Alignments. - Muzhi Han; Zeyu Zhang 001; Ziyuan Jiao; Xu Xie 001; Yixin Zhu 001; Song-Chun Zhu; Hangxin Liu (ICRA, 2021)

Consolidating Kinematic Models to Promote Coordinated Mobile Manipulations. - Ziyuan Jiao; Zeyu Zhang 001; Xin Jiang; David K. Han; Song-Chun Zhu; Yixin Zhu 001; Hangxin Liu (IROS, 2021)

Efficient Task Planning for Mobile Manipulation: a Virtual Kinematic Chain Perspective. - Ziyuan Jiao; Zeyu Zhang 001; Weiqi Wang; David K. Han; Song-Chun Zhu; Yixin Zhu 001; Hangxin Liu (IROS, 2021)

Robust Visual Reasoning via Language Guided Neural Module Networks. - Arjun R. Akula; Varun Jampani; Soravit Changpinyo; Song-Chun Zhu (NeurIPS, 2021)

On Path Integration of Grid Cells: Group Representation and Isotropic Scaling. - Ruiqi Gao; Jianwen Xie; Xue-Xin Wei; Song-Chun Zhu; Ying Nian Wu (NeurIPS, 2021)

IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning. - Pan Lu; Liang Qiu 001; Jiaqi Chen; Tanglin Xia; Yizhou Zhao; Wei Zhang 056; Zhou Yu; Xiaodan Liang; Song-Chun Zhu (NeurIPS Datasets and Benchmarks, 2021)

Unsupervised Foreground Extraction via Deep Region Competition. - Peiyu Yu; Sirui Xie; Xiaojian Ma 001; Yixin Zhu 001; Ying Nian Wu; Song-Chun Zhu (NeurIPS, 2021)

Iterative Teacher-Aware Learning. - Luyao Yuan; Dongruo Zhou; Junhong Shen; Jingdong Gao; Jeffrey L. Chen; Quanquan Gu; Ying Nian Wu; Song-Chun Zhu (NeurIPS, 2021)

HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving. - Sirui Xie; Xiaojian Ma 001; Peiyu Yu; Yixin Zhu 001; Ying Nian Wu; Song-Chun Zhu (CoRR, 2021)

A HINT from Arithmetic: On Systematic Generalization of Perception, Syntax, and Semantics. - Qing Li 003; Siyuan Huang 001; Yining Hong; Yixin Zhu 001; Ying Nian Wu; Song-Chun Zhu (CoRR, 2021)

Towards Socially Intelligent Agents with Mental State Transition and Human Utility. - Liang Qiu 001; Yizhou Zhao; Yuan Liang 001; Pan Lu; Weiyan Shi; Zhou Yu; Song-Chun Zhu (CoRR, 2021)

Synthesizing Diverse and Physically Stable Grasps with Arbitrary Hand Structures by Differentiable Force Closure Estimation. - Tengyu Liu; Zeyu Liu; Ziyuan Jiao; Yixin Zhu 001; Song-Chun Zhu (CoRR, 2021)

VersaGNN: a Versatile accelerator for Graph neural networks. - Feng Shi 006; Ahren Yiqiao Jin; Song-Chun Zhu (CoRR, 2021)

STAR: Sparse Transformer-based Action Recognition. - Feng Shi 006; Chonghan Lee; Liang Qiu 001; Yizhou Zhao; Tianyi Shen; Shivran Muralidhar; Tian Han 001; Song-Chun Zhu; Vijaykrishnan Narayanan (CoRR, 2021)

Transformer-based Machine Learning for Fast SAT Solvers and Logic Synthesis. - Feng Shi 006; Chonghan Lee; Mohammad Khairul Bashar; Nikhil Shukla; Song-Chun Zhu; Vijaykrishnan Narayanan (CoRR, 2021)

CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models. - Arjun R. Akula; Keze Wang; Changsong Liu; Sari Saba-Sadiya; Hongjing Lu; Sinisa Todorovic; Joyce Chai; Song-Chun Zhu (CoRR, 2021)

Emergence of Theory of Mind Collaboration in Multiagent Systems. - Luyao Yuan; Zipeng Fu; Linqi Zhou; Kexin Yang; Song-Chun Zhu (CoRR, 2021)

IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning. - Pan Lu; Liang Qiu 001; Jiaqi Chen; Tony Xia; Yizhou Zhao; Wei Zhang 056; Zhou Yu; Xiaodan Liang; Song-Chun Zhu (CoRR, 2021)

Emergent Graphical Conventions in a Visual Communication Game. - Shuwen Qiu; Sirui Xie; Lifeng Fan; Tao Gao 004; Song-Chun Zhu; Yixin Zhu 001 (CoRR, 2021)

GenMotion: Data-driven Motion Generators for Real-time Animation Synthesis. - Yizhou Zhao; Wensi Ai; Liang Qiu 001; Pan Lu; Feng Shi 006; Tian Han 001; Song-Chun Zhu (CoRR, 2021)

A Generalized Earley Parser for Human Activity Parsing and Prediction. - Siyuan Qi; Baoxiong Jia; Siyuan Huang 001; Ping Wei 001; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Learning Energy-Based Spatial-Temporal Generative ConvNets for Dynamic Patterns. - Jianwen Xie; Song-Chun Zhu; Ying Nian Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Mining Interpretable AOG Representations From Convolutional Networks via Active Question Answering. - Quanshi Zhang; Jie Ren 018; Ge Huang; Ruiming Cao; Ying Nian Wu; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Extraction of an Explanatory Graph to Interpret a CNN. - Quanshi Zhang; Xin Wang 108; Ruiming Cao; Ying Nian Wu; Feng Shi 006; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Interpretable CNNs for Object Classification. - Quanshi Zhang; Xin Wang 108; Ying Nian Wu; Huilin Zhou; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion. - Ruiqi Gao; Jianwen Xie; Siyuan Huang 001; Yufan Ren; Song-Chun Zhu; Ying Nian Wu (AAAI, 2022)

ValueNet: A New Dataset for Human Value Driven Dialogue System. - Liang Qiu 001; Yizhou Zhao; Jinchao Li; Pan Lu; Baolin Peng; Jianfeng Gao 001; Song-Chun Zhu (AAAI, 2022)

Learning from the Tangram to Solve Mini Visual Tasks. - Yizhou Zhao; Liang Qiu 001; Pan Lu; Feng Shi 006; Tian Han 001; Song-Chun Zhu (AAAI, 2022)

Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning. - Chi Zhang 017; Sirui Xie; Baoxiong Jia; Ying Nian Wu; Song-Chun Zhu; Yixin Zhu 001 (ECCV (39), 2022)

RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning. - Xiaojian Ma 001; Weili Nie; Zhiding Yu; Huaizu Jiang; Chaowei Xiao; Yuke Zhu; Song-Chun Zhu; Anima Anandkumar (ICLR, 2022)

MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC. - Erik Nijkamp; Ruiqi Gao; Pavel Sountsov; Srinivas Vasudevan; Bo Pang 004; Song-Chun Zhu; Ying Nian Wu (ICLR, 2022)

COAT: Measuring Object Compositionality in Emergent Representations. - Sirui Xie; Ari S. Morcos; Song-Chun Zhu; Ramakrishna Vedantam (ICML, 2022)

Latent Diffusion Energy-Based Model for Interpretable Text Modelling. - Peiyu Yu; Sirui Xie; Xiaojian Ma 001; Baoxiong Jia; Bo Pang 004; Ruiqi Gao; Yixin Zhu 001; Song-Chun Zhu; Ying Nian Wu (ICML, 2022)

Sequential Manipulation Planning on Scene Graph. - Ziyuan Jiao; Yida Niu; Zeyu Zhang 001; Song-Chun Zhu; Yixin Zhu 001; Hangxin Liu (IROS, 2022)

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. - Yuanpei Chen; Tianhao Wu 001; Shengjie Wang; Xidong Feng; Jiechuan Jiang; Zongqing Lu 002; Stephen McAleer; Hao Dong 003; Song-Chun Zhu; Yaodong Yang 001 (NeurIPS, 2022)

Learning Probabilistic Models from Generator Latent Spaces with Hat EBM. - Mitch Hill; Erik Nijkamp; Jonathan Mitchell; Bo Pang 004; Song-Chun Zhu (NeurIPS, 2022)

EgoTaskQA: Understanding Human Tasks in Egocentric Videos. - Baoxiong Jia; Ting Lei; Song-Chun Zhu; Siyuan Huang 001 (NeurIPS, 2022)

Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering. - Pan Lu; Swaroop Mishra; Tanglin Xia; Liang Qiu 001; Kai-Wei Chang; Song-Chun Zhu; Oyvind Tafjord; Peter Clark; Ashwin Kalyan (NeurIPS, 2022)

MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control. - Xuehai Pan; Mickel Liu; Fangwei Zhong; Yaodong Yang 001; Song-Chun Zhu; Yizhou Wang 001 (NeurIPS, 2022)

Emergent Graphical Conventions in a Visual Communication Game. - Shuwen Qiu; Sirui Xie; Lifeng Fan; Tao Gao 004; Jungseock Joo; Song-Chun Zhu; Yixin Zhu 001 (NeurIPS, 2022)

Towards Socially Intelligent Agents with Mental State Transition and Human Value. - Liang Qiu 001; Yizhou Zhao; Yuan Liang 001; Pan Lu; Weiyan Shi; Zhou Yu; Song-Chun Zhu (SIGDIAL, 2022)

Effective Representation to Capture Collaboration Behaviors between Explainer and User. - Arjun R. Akula; Song-Chun Zhu (CoRR, 2022)

Discourse Analysis for Evaluating Coherence in Video Paragraph Captions. - Arjun R. Akula; Song-Chun Zhu (CoRR, 2022)

Attention cannot be an Explanation. - Arjun R. Akula; Song-Chun Zhu (CoRR, 2022)

PartAfford: Part-level Affordance Discovery from 3D Objects. - Chao Xu 016; Yixin Chen 003; He Wang 010; Song-Chun Zhu; Yixin Zhu 001; Siyuan Huang 001 (CoRR, 2022)

Triangular Character Animation Sampling with Motion, Emotion, and Relation. - Yizhou Zhao; Liang Qiu 001; Wensi Ai; Pan Lu; Song-Chun Zhu (CoRR, 2022)

EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling. - Mitch Hill; Jonathan Mitchell; Chu Chen; Yuan Du; Mubarak Shah; Song-Chun Zhu (CoRR, 2022)

Latent Diffusion Energy-Based Model for Interpretable Text Modeling. - Peiyu Yu; Sirui Xie; Xiaojian Ma 001; Baoxiong Jia; Bo Pang 004; Ruiqi Gao; Yixin Zhu 001; Song-Chun Zhu; Ying Nian Wu (CoRR, 2022)

MPI: Evaluating and Inducing Personality in Pre-trained Language Models. - Guangyuan Jiang; Manjie Xu; Song-Chun Zhu; Wenjuan Han; Chi Zhang 017; Yixin Zhu 001 (CoRR, 2022)

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. - Yuanpei Chen; Yaodong Yang 001; Tianhao Wu 001; Shengjie Wang; Xidong Feng; Jiechuang Jiang; Stephen Marcus McAleer; Hao Dong 003; Zongqing Lu 002; Song-Chun Zhu (CoRR, 2022)

EST: Evaluating Scientific Thinking in Artificial Agents. - Manjie Xu; Guangyuan Jiang; Chi Zhang 017; Song-Chun Zhu; Yixin Zhu 001 (CoRR, 2022)

VRKitchen2.0-IndoorKit: A Tutorial for Augmented Indoor Scene Building in Omniverse. - Yizhou Zhao; Steven Gong; Xiaofeng Gao 002; Wensi Ai; Song-Chun Zhu (CoRR, 2022)

Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering. - Pan Lu; Swaroop Mishra; Tony Xia; Liang Qiu 001; Kai-Wei Chang; Song-Chun Zhu; Oyvind Tafjord; Peter Clark; Ashwin Kalyan (CoRR, 2022)

RulE: Neural-Symbolic Knowledge Graph Reasoning with Rule Embedding. - Xiaojuan Tang; Song-Chun Zhu; Yitao Liang; Muhan Zhang (CoRR, 2022)

Scene Reconstruction with Functional Objects for Robot Autonomy. - Muzhi Han; Zeyu Zhang 001; Ziyuan Jiao; Xu Xie 001; Yixin Zhu 001; Song-Chun Zhu; Hangxin Liu (Int. J. Comput. Vis., 2022)

Hierarchical Human Semantic Parsing With Comprehensive Part-Relation Modeling. - Wenguan Wang; Tianfei Zhou; Siyuan Qi; Jianbing Shen; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Conditional Learning. - Jianwen Xie; Zilong Zheng; Xiaolin Fang 002; Song-Chun Zhu; Ying Nian Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis. - Jianwen Xie; Zilong Zheng; Ruiqi Gao; Wenguan Wang; Song-Chun Zhu; Ying Nian Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry. - Xianglei Xing; Ruiqi Gao; Tian Han 001; Song-Chun Zhu; Ying Nian Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Monocular 3D Pose Estimation via Pose Grammar and Data Augmentation. - Yuanlu Xu; Wenguan Wang; Tengyu Liu; Xiaobai Liu; Jianwen Xie; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Cascaded Parsing of Human-Object Interaction Recognition. - Tianfei Zhou; Siyuan Qi; Wenguan Wang; Jianbing Shen; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration. - Xiaofeng Gao 002; Luyao Yuan; Tianmin Shu; Hongjing Lu; Song-Chun Zhu (IEEE Robotics Autom. Lett., 2022)

Synthesizing Diverse and Physically Stable Grasps With Arbitrary Hand Structures Using Differentiable Force Closure Estimator. - Tengyu Liu; Zeyu Liu; Ziyuan Jiao; Yixin Zhu 001; Song-Chun Zhu (IEEE Robotics Autom. Lett., 2022)

Understanding Physical Effects for Effective Tool-Use. - Zeyu Zhang 001; Ziyuan Jiao; Weiqi Wang; Yixin Zhu 001; Song-Chun Zhu; Hangxin Liu (IEEE Robotics Autom. Lett., 2022)

In situ bidirectional human-robot value alignment. - Luyao Yuan; Xiaofeng Gao 002; Zilong Zheng; Mark Edmonds; Ying Nian Wu; Federico Rossano; Hongjing Lu; Yixin Zhu 001; Song-Chun Zhu (Sci. Robotics, 2022)

Computer Vision - Statistical Models for Marr's Paradigm - Song-Chun Zhu; Ying Wu 001 (Springer, 2023)

Diffusion-based Generation, Optimization, and Planning in 3D Scenes. - Siyuan Huang 001; Zan Wang; Puhao Li; Baoxiong Jia; Tengyu Liu; Yixin Zhu 001; Wei Liang 008; Song-Chun Zhu (CVPR, 2023)

Sim2Plan: Robot Motion Planning via Message Passing Between Simulation and Reality. - Yizhou Zhao; Yuanhong Zeng; Qian Long; Ying Nian Wu; Song-Chun Zhu (FTC (1), 2023)

X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events. - Bo Dai 025; Linge Wang; Baoxiong Jia; Zeyu Zhang 001; Song-Chun Zhu; Chi Zhang 017; Yixin Zhu 001 (ICCV, 2023)

ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes. - Ran Gong; Jiangyong Huang; Yizhou Zhao; Haoran Geng; Xiaofeng Gao 002; Qingyang Wu; Wensi Ai; Ziheng Zhou; Demetri Terzopoulos; Song-Chun Zhu; Baoxiong Jia; Siyuan Huang 001 (ICCV, 2023)

A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics. - Qing Li 003; Siyuan Huang 001; Yining Hong; Yixin Zhu 001; Ying Nian Wu; Song-Chun Zhu (ICLR, 2023)

Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning. - Pan Lu; Liang Qiu 001; Kai-Wei Chang; Ying Nian Wu; Song-Chun Zhu; Tanmay Rajpurohit; Peter Clark; Ashwin Kalyan (ICLR, 2023)

SQA3D: Situated Question Answering in 3D Scenes. - Xiaojian Ma 001; Silong Yong; Zilong Zheng; Qing Li 003; Yitao Liang; Song-Chun Zhu; Siyuan Huang 001 (ICLR, 2023)

On the Complexity of Bayesian Generalization. - Yu-Zhe Shi; Manjie Xu; John E. Hopcroft; Kun He 001; Joshua B. Tenenbaum; Song-Chun Zhu; Ying Nian Wu; Wenjuan Han; Yixin Zhu 001 (ICML, 2023)

Rearrange Indoor Scenes for Human-Robot Co-Activity. - Weiqi Wang; Zihang Zhao; Ziyuan Jiao; Yixin Zhu 001; Song-Chun Zhu; Hangxin Liu (ICRA, 2023)

Learning a Causal Transition Model for Object Cutting. - Zeyu Zhang 001; Muzhi Han; Baoxiong Jia; Ziyuan Jiao; Yixin Zhu 001; Song-Chun Zhu; Hangxin Liu (IROS, 2023)

Part-level Scene Reconstruction Affords Robot Interaction. - Zeyu Zhang 001; Lexing Zhang; Zaijin Wang; Ziyuan Jiao; Muzhi Han; Yixin Zhu 001; Song-Chun Zhu; Hangxin Liu (IROS, 2023)

Evaluating and Inducing Personality in Pre-trained Language Models. - Guangyuan Jiang; Manjie Xu; Song-Chun Zhu; Wenjuan Han; Chi Zhang 017; Yixin Zhu 001 (NeurIPS, 2023)

Diplomat: A Dialogue Dataset for Situated PragMATic Reasoning. - Hengli Li; Song-Chun Zhu; Zilong Zheng (NeurIPS, 2023)

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models. - Pan Lu; Baolin Peng; Hao Cheng 002; Michel Galley; Kai-Wei Chang; Ying Nian Wu; Song-Chun Zhu; Jianfeng Gao 001 (NeurIPS, 2023)

Learning non-Markovian Decision-Making from State-only Sequences. - Aoyang Qin; Feng Gao 013; Qing Li 003; Song-Chun Zhu; Sirui Xie (NeurIPS, 2023)

Learning Energy-Based Prior Model with Diffusion-Amortized MCMC. - Peiyu Yu; Yaxuan Zhu; Sirui Xie; Xiaojian Ma 001; Ruiqi Gao; Song-Chun Zhu; Ying Nian Wu (NeurIPS, 2023)

Reconfigurable Data Glove for Reconstructing Physical and Virtual Grasps. - Hangxin Liu; Zeyu Zhang 001; Ziyuan Jiao; Zhenliang Zhang 002; Minchen Li; Chenfanfu Jiang; Yixin Zhu 001; Song-Chun Zhu (CoRR, 2023)

Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners. - Xiaojuan Tang; Zilong Zheng; Jiaqi Li; Fanxu Meng; Song-Chun Zhu; Yitao Liang; Muhan Zhang (CoRR, 2023)

Heterogeneous Value Evaluation for Large Language Models. - Zhaowei Zhang; Nian Liu; Siyuan Qi; Ceyao Zhang; Ziqi Rong; Song-Chun Zhu; Shuguang Cui; Yaodong Yang 001 (CoRR, 2023)

MindDial: Belief Dynamics Tracking with Theory-of-Mind Modeling for Situated Neural Dialogue Generation. - Shuwen Qiu; Song-Chun Zhu; Zilong Zheng (CoRR, 2023)

Brain in a Vat: On Missing Pieces Towards Artificial General Intelligence in Large Language Models. - Yuxi Ma; Chi Zhang 017; Song-Chun Zhu (CoRR, 2023)

ProAgent: Building Proactive Cooperative AI with Large Language Models. - Ceyao Zhang; Kaijie Yang; Siyi Hu; Zihao Wang; Guanghe Li; Yihang Sun; Cheng Zhang; Zhaowei Zhang; Anji Liu; Song-Chun Zhu; Xiaojun Chang; Junge Zhang; et al. (CoRR, 2023)

MindAgent: Emergent Gaming Interaction. - Ran Gong; Qiuyuan Huang; Xiaojian Ma 001; Hoi Vo; Zane Durante; Yusuke Noda; Zilong Zheng; Song-Chun Zhu; Demetri Terzopoulos; Li Fei-Fei 001; Jianfeng Gao 001 (CoRR, 2023)

CORE: Common Random Reconstruction for Distributed Optimization with Provable Low Communication Complexity. - Pengyun Yue; Hanzhen Zhao; Cong Fang 001; Di He 001; Liwei Wang 001; Zhouchen Lin; Song-Chun Zhu (CoRR, 2023)

AI Alignment: A Comprehensive Survey. - Jiaming Ji; Tianyi Qiu; Boyuan Chen 008; Borong Zhang; Hantao Lou; Kaile Wang; Yawen Duan; Zhonghao He; Jiayi Zhou; Zhaowei Zhang; Fanzhi Zeng; Kwan Yee Ng; et al. (CoRR, 2023)

Aligner: One Global Token is Worth Millions of Parameters When Aligning Large Language Models. - Ziheng Zhou; Yingnian Wu; Song-Chun Zhu; Demetri Terzopoulos (CoRR, 2023)

Guest Editorial: Introduction to the Special Section on Graphs in Vision and Pattern Analysis. - Song Bai 001; Philip H. S. Torr; Ranjay Krishna; Li Fei-Fei 001; Abhinav Gupta 001; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

ProAgent: Building Proactive Cooperative Agents with Large Language Models. - Ceyao Zhang; Kaijie Yang; Siyi Hu; Zihao Wang; Guanghe Li; Yihang Sun; Cheng Zhang; Zhaowei Zhang; Anji Liu; Song-Chun Zhu; Xiaojun Chang; Junge Zhang; et al. (AAAI, 2024)

LangSuit·E: Planning, Controlling and Interacting with Large Language Models in Embodied Text Environments. - Zixia Jia; Mengmeng Wang; Baichen Tong; Song-Chun Zhu; Zilong Zheng (ACL (Findings), 2024)

RulE: Knowledge Graph Reasoning with Rule Embedding. - Xiaojuan Tang; Song-Chun Zhu; Yitao Liang; Muhan Zhang (ACL (Findings), 2024)

CLOVA: A Closed-LOop Visual Assistant with Tool Usage and Update. - Zhi Gao; Yuntao Du 001; Xintong Zhang; Xiaojian Ma 001; Wenjuan Han; Song-Chun Zhu; Qing Li 003 (CVPR, 2024)

Neural-Symbolic Recursive Machine for Systematic Generalization. - Qing Li 003; Yixin Zhu 001; Yitao Liang; Ying Nian Wu; Song-Chun Zhu; Siyuan Huang 001 (ICLR, 2024)

CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents. - Siyuan Qi; Shuo Chen; Yexin Li; Xiangyu Kong; Junqi Wang; Bangcheng Yang; Pring Wong; Yifan Zhong; Xiaoyuan Zhang; Zhaowei Zhang; Nian Liu; Yaodong Yang 001; et al. (ICLR, 2024)

Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World. - Rujie Wu; Xiaojian Ma 001; Zhenliang Zhang 002; Wei Wang 115; Qing Li 003; Song-Chun Zhu; Yizhou Wang 001 (ICLR, 2024)

Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning. - Yizhe Huang; Anji Liu; Fanqi Kong; Yaodong Yang 001; Song-Chun Zhu; Xue Feng (ICML, 2024)

An Embodied Generalist Agent in 3D World. - Jiangyong Huang; Silong Yong; Xiaojian Ma 001; Xiongkun Linghu; Puhao Li; Yan Wang 116; Qing Li 003; Song-Chun Zhu; Baoxiong Jia; Siyuan Huang 001 (ICML, 2024)

Fast Peer Adaptation with Context-aware Exploration. - Long Ma; Yuanfei Wang; Fangwei Zhong; Song-Chun Zhu; Yizhou Wang 001 (ICML, 2024)

Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations. - Puhao Li; Tengyu Liu; Yuyang Li; Muzhi Han; Haoran Geng; Shu Wang 002; Yixin Zhu 001; Song-Chun Zhu; Siyuan Huang 001 (IROS, 2024)

LLM3: Large Language Model-based Task and Motion Planning with Motion Failure Reasoning. - Shu Wang 002; Muzhi Han; Ziyuan Jiao; Zeyu Zhang 001; Ying Nian Wu; Song-Chun Zhu; Hangxin Liu (IROS, 2024)

FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models. - Pengxiang Li 002; Zhi Gao; Bofei Zhang; Tao Yuan; Yuwei Wu 001; Mehrtash Harandi; Yunde Jia; Song-Chun Zhu; Qing Li 003 (NeurIPS, 2024)

AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making. - Yizhe Huang; Xingbo Wang; Hao Liu; Fanqi Kong; Aoyang Qin; Min Tang 006; Xiaoxi Wang; Song-Chun Zhu; Mingjie Bi; Siyuan Qi; Xue Feng (NeurIPS, 2024)

Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games. - Fanqi Kong; Yizhe Huang; Song-Chun Zhu; Siyuan Qi; Xue Feng (NeurIPS, 2024)

PhyRecon: Physically Plausible Neural Scene Reconstruction. - Junfeng Ni; Yixin Chen 003; Bohan Jing; Nan Jiang; Bin Wang; Bo Dai 025; Puhao Li; Yixin Zhu 001; Song-Chun Zhu; Siyuan Huang 001 (NeurIPS, 2024)

Mars: Situated Inductive Reasoning in an Open-World Environment. - Xiaojuan Tang; Jiaqi Li; Yitao Liang; Song-Chun Zhu; Muhan Zhang; Zilong Zheng (NeurIPS, 2024)

INTERPRET: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning. - Muzhi Han; Yifeng Zhu; Song-Chun Zhu; Ying Nian Wu; Yuke Zhu (Robotics: Science and Systems, 2024)

MindDial: Enhancing Conversational Agents with Theory-of-Mind for Common Ground Alignment and Negotiation. - Shuwen Qiu; Mingdian Liu; Hengli Li; Song-Chun Zhu; Zilong Zheng (SIGDIAL, 2024)

On the Emergence of Symmetrical Reality. - Zhenliang Zhang 002; Zeyu Zhang 001; Ziyuan Jiao; Yao Su 001; Hangxin Liu; Wei Wang 115; Song-Chun Zhu (VR, 2024)

MusicAOG: an Energy-Based Model for Learning and Sampling a Hierarchical Representation of Symbolic Music. - Yikai Qian; Tianle Wang 007; Xinyi Tong 001; Xin Jin 015; Duo Xu 004; Bo Zheng 007; Tiezheng Ge; Feng Yu; Song-Chun Zhu (CoRR, 2024)

CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents. - Siyuan Qi; Shuo Chen; Yexin Li; Xiangyu Kong; Junqi Wang; Bangcheng Yang; Pring Wong; Yifan Zhong; Xiaoyuan Zhang; Zhaowei Zhang; Nian Liu; Wei Wang 115; et al. (CoRR, 2024)

LLM3: Large Language Model-based Task and Motion Planning with Motion Failure Reasoning. - Shu Wang 002; Muzhi Han; Ziyuan Jiao; Zeyu Zhang 001; Ying Nian Wu; Song-Chun Zhu; Hangxin Liu (CoRR, 2024)

PhyRecon: Physically Plausible Neural Scene Reconstruction. - Junfeng Ni; Yixin Chen 003; Bohan Jing; Nan Jiang; Bin Wang; Bo Dai 025; Yixin Zhu 001; Song-Chun Zhu; Siyuan Huang 001 (CoRR, 2024)

SocialGFs: Learning Social Gradient Fields for Multi-Agent Reinforcement Learning. - Qian Long; Fangwei Zhong; Mingdong Wu; Yizhou Wang 001; Song-Chun Zhu (CoRR, 2024)

PR2: A Physics- and Photo-realistic Testbed for Embodied AI and Humanoid Robots. - Hangxin Liu; Qi Xie; Zeyu Zhang 001; Tao Yuan; Xiaokun Leng 001; Lining Sun; Song-Chun Zhu; Jingwen Zhang; Zhicheng He 002; Yao Su 001 (CoRR, 2024)

M3Bench: Benchmarking Whole-body Motion Generation for Mobile Manipulation in 3D Scenes. - Zeyu Zhang 001; Sixu Yan; Muzhi Han; Zaijin Wang; Xinggang Wang; Song-Chun Zhu; Hangxin Liu (CoRR, 2024)

M2Diffuser: Diffusion-based Trajectory Optimization for Mobile Manipulation in 3D Scenes. - Sixu Yan; Zeyu Zhang 001; Muzhi Han; Zaijin Wang; Qi Xie; Zhitian Li; Zhehan Li; Hangxin Liu; Xinggang Wang; Song-Chun Zhu (CoRR, 2024)

Proposing and solving olympiad geometry with guided tree search. - Chi Zhang 017; Jiajun Song; Siyu Li; Yitao Liang; Yuxi Ma; Wei Wang 115; Yixin Zhu 001; Song-Chun Zhu (CoRR, 2024)

Embedding high-resolution touch across robotic hands enables adaptive human-like grasping. - Zihang Zhao; Wanlin Li; Yuyang Li; Tengyu Liu; Boren Li; Meng Wang 051; Kai Du; Hangxin Liu; Yixin Zhu 001; Qining Wang; Kaspar Althoefer; Song-Chun Zhu (CoRR, 2024)

Differentiable Information Enhanced Model-Based Reinforcement Learning. - Xiaoyuan Zhang; Xinyan Cai; Bo Liu 039; Weidong Huang 008; Song-Chun Zhu; Siyuan Qi; Yaodong Yang 001 (AAAI, 2025)

ReflectEvo: Improving Meta Introspection of Small LLMs by Learning Self-Reflection. - Jiaqi Li; Xinyi Dong; Yang Liu 266; Zhizhuo Yang; Quansen Wang; Xiaobo Wang; Song-Chun Zhu; Zixia Jia; Zilong Zheng (ACL (Findings), 2025)

Heterogeneous Value Alignment Evaluation for Large Language Models. - Zhaowei Zhang; Ceyao Zhang; Nian Liu; Siyuan Qi; Ziqi Rong; Song-Chun Zhu; Yaodong Yang 001 (AGI (2), 2025)

Unveiling the Mist over 3D Vision-Language Understanding: Object-centric Evaluation with Chain-of-Analysis. - Jiangyong Huang; Baoxiong Jia; Yan Wang 116; Ziyu Zhu; Xiongkun Linghu; Qing Li 003; Song-Chun Zhu; Siyuan Huang 001 (CVPR, 2025)

Decompositional Neural Scene Reconstruction with Generative Diffusion Prior. - Junfeng Ni; Yu Liu; Ruijie Lu; Zirui Zhou; Song-Chun Zhu; Yixin Chen 003; Siyuan Huang 001 (CVPR, 2025)

METASCENES: Towards Automated Replica Creation for Real-world 3D Scans. - Huangyue Yu; Baoxiong Jia; Yixin Chen 003; Yandan Yang; Puhao Li; Rongpeng Su; Jiaxin Li; Qing Li 003; Wei Liang 008; Song-Chun Zhu; Tengyu Liu; Siyuan Huang 001 (CVPR, 2025)

Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage. - Zhi Gao; Bofei Zhang; Pengxiang Li 002; Xiaojian Ma 001; Tao Yuan; Yue Fan; Yuwei Wu 001; Yunde Jia; Song-Chun Zhu; Qing Li 003 (ICLR, 2025)

Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting. - Yu Liu; Baoxiong Jia; Ruijie Lu; Junfeng Ni; Song-Chun Zhu; Siyuan Huang 001 (ICLR, 2025)

TongUI: Building Generalized GUI Agents by Learning from Multimodal Web Tutorials. - Bofei Zhang; Zirui Shang; Zhi Gao; Wang Zhang; Rui Xie; Xiaojian Ma 001; Tao Yuan; Xinxiao Wu; Song-Chun Zhu; Qing Li 003 (CoRR, 2025)

Iterative Trajectory Exploration for Multimodal Agents. - Pengxiang Li 002; Zhi Gao; Bofei Zhang; Yapeng Mi; Xiaojian Ma 001; Chenrui Shi; Tao Yuan; Yuwei Wu 001; Yunde Jia; Song-Chun Zhu; Qing Li 003 (CoRR, 2025)

MusicAOG: An Energy-Based Model for Learning and Sampling a Hierarchical Representation of Symbolic Music. - Yikai Qian; Tianle Wang 007; Jishang Chen; Peiyang Yu; Duo Xu 004; Xin Jin 015; Feng Yu; Song-Chun Zhu (IEEE Trans. Comput. Soc. Syst., 2025)

Video Echoed in Harmony: Learning and Sampling Video-Integrated Chord Progression Sequences for Controllable Video Background Music Generation. - Xinyi Tong 001; Sitong Chen; Peiyang Yu; Nian Liu; Hui Qv; Tao Ma 008; Bo Zheng 007; Feng Yu; Song-Chun Zhu (IEEE Trans. Comput. Soc. Syst., 2025)

Seek in the Dark: Reasoning via Test-Time Instance-Level Policy Gradient in Latent Space. - Hengli Li; Chenxi Li; Tong Wu; Xuekai Zhu; Yuxuan Wang; Zhaoxin Yu; Eric Hanchen Jiang; Song-Chun Zhu; Zixia Jia; Ying Nian Wu; Zilong Zheng (CoRR, 2025)

Chain-of-Focus: Adaptive Visual Search and Zooming for Multimodal Reasoning via RL. - Xintong Zhang; Zhi Gao; Bofei Zhang; Pengxiang Li 002; Xiaowen Zhang; Yang Liu 266; Tao Yuan; Yuwei Wu 001; Yunde Jia; Song-Chun Zhu; Qing Li 003 (CoRR, 2025)

Discrete Markov Bridge. - Hengli Li; Yuxuan Wang; Song-Chun Zhu; Ying Nian Wu; Zilong Zheng (CoRR, 2025)

SIV-Bench: A Video Benchmark for Social Interaction Understanding and Reasoning. - Fanqi Kong; Weiqin Zu; Xinyu Chen; Yaodong Yang 001; Song-Chun Zhu; Xue Feng (CoRR, 2025)

LEO-VL: Towards 3D Vision-Language Generalists via Data Scaling with Efficient Representation. - Jiangyong Huang; Xiaojian Ma 001; Xiongkun Linghu; Yue Fan; Junchao He; Wenxin Tan; Qing Li 003; Song-Chun Zhu; Yixin Chen 003; Baoxiong Jia; Siyuan Huang 001 (CoRR, 2025)

ControlVLA: Few-shot Object-centric Adaptation for Pre-trained Vision-Language-Action Models. - Puhao Li; Yingying Wu; Ziheng Xi; Wanlin Li; Yuzhe Huang; Zhiyuan Zhang; Yinghan Chen; Jianan Wang; Song-Chun Zhu; Tengyu Liu; Siyuan Huang 001 (CoRR, 2025)

M${}^{3}$Bench: Benchmarking Whole-Body Motion Generation for Mobile Manipulation in 3D Scenes. - Zeyu Zhang 001; Sixu Yan; Muzhi Han; Zaijin Wang; Xinggang Wang; Song-Chun Zhu; Hangxin Liu (IEEE Robotics Autom. Lett., 2025)