People who I have shared grants with

    Adrian Barbu (FSU), Elias Bareinboim (Purdue), Terry Boult (UCCS), Joyce Chai (UMichigan), Jason Cong (UCLA), Stuart Geman (Brown), Tao Gao (UCLA), Pablo Garcia (SRI), Tim Groeling (UCLA), Abhinav Gupta (CMU), Martial Hebert (CMU), Derek Hoiem (UIUC), Nancy Kanwisher (MIT), Daphane Koller (Stanford), Feifei Li (Stanford), Jitendra Malik (UC Berkeley), Mike Miller (JHU), Judea Pearl (UCLA), Pietro Perona (Caltech), Deva Ramanan (UC Irvine), Brian Scholl (Yale), Kevin Skadron (UV), Francis Steen (UCLA), Josh Tenenbaum (MIT), Sinisa Todorovic (Oregon State), Antonio Torralba (MIT), Ying Wu (Norhtwestern), Yingnian Wu (UCLA), Alan Yuille (UCLA), Cheng Zhai (UIUC).

Ph.D. Students supervised
  • Zhuowen Tu, [CS] Ph.D. 2002, Image Parsing by Data-Driven Markov Chain Monte Carlo.
  • Cheng-En Guo, [CS] Ph.D. 2004, A Mathematical Theory for Texton and Primal Sketch.
  • Adrian Barbu, [CS] Ph.D. 2005, Cluster Sampling and Its Applications in Segmentation, Stereo and Motion
  • Yizhou Wang, [CS] Ph.D. 2005, Modeling Complex Motion: Photometric, Geometric, Topological, and Dynamic Aspects
  • Feng Han, [CS] Ph.D. 2005, Computing 3D Scene From A Single Image by Bottom-up/Top-Down Bayesian Inference
  • Romeo Maciuca, [Stat] Ph.D 2006, MCMC Analysis: First Hitting Times, Visiting Scheme, and Auxiliary Variables
  • Zijian Xu, [Stat] Ph.D 2007, A Hierarchical Compositional Model for Representation and Sketching of High-resolution Human Images
  • Kent Shi, [Stat] Ph.D 2009, Mapping Natural Image Patches by Explicit and Implicit Manifolds
  • Jacob Porway, [Stat] Ph.D 2010 A Hierarchical and Contextual Model for Learning and Recognizing Highly Variant Visual Categories
  • Zhangzhang Si [Stat] Ph.D 2011 Learning And-Or Templates for Object Recognition by Information Projection
  • Mingtian Zhao [Stat] Ph.D 2011 A Statistical and Computational theory for the Art of Painting
  • Tianfu Wu [Stat] Ph.D 2011 Integration and Goal-guided Scheduling of Bottom-up and Top-Down Computing Processes in Hierarchical Models
  • Benjamin Yao [Stat] Ph.D 2011 Learning Spatial-Temporal Models for Understanding Actions and Events in Video
  • Wenze Hu [Stat] Ph.D 2012 Integrating 3D and 2D Representations for View-invariant Object Recognition
  • Brandon Rothrock [CS] Ph.D 2013 Stochastic Image Grammars for Human Pose Estimation
  • Maria Pavlovskaia [Stat] Ph.D 2014 Mapping Highly Non-convex Energy Landscapes in Clustering, Grammar and Curriculum Learning
  • Jungseock Joo [CS] Ph.D 2015 Visual Persuasion in Mass Media: A Computational Framework for Understanding Visual Communication
  • Yibiao Zhao [Stat] Ph.D 2015 A Quest for Visual Commonsense: Scene Understanding by Functional and Physics Reasoning
  • Seyoung Park [CS] Ph.D 2016 Attribute Grammar for Joint Parsing of Human Attribute, Part and Pose
  • Amy Morrow [Stat] Ph.D 2016 Learning and Inferring Perceptual Causality from Videos
  • Dan Xie [Stat] Ph.D 2016 Inferring the Intentions and Attentions of Agents from Videos.
  • Weixin Li [CS] Ph.D 2017 Joint Image-Text Topic Detection and Tracking for Analyzing Social and Political News Events
  • Bruce Nie [Stat] Ph.D 2017 Spatial-Temporal Hierarchical Model for Joint Learning and Inference of Human Action and Pose
  • Yang Lu [Stat] Ph.D 2017 Coupling and Learning Hierarchical Generative and Descriptive Models for Image Synthesis and Analysis
  • Chengcheng Yu [Stat] Ph.D 2017 Single View 3D Scene Reconstruction Using Visual Commonsense
  • Hang Qi [CS] Ph.D 2018 Joint Spatial, Temporal, and Causal Inference and Restricted Turng Test via Storyline Queries
  • Yixin Zhu [Stat] Ph.D 2018 Visual Commonsense Reasoning: Functionality, Physics, Causality, and Utility
  • Yuanlu Xu [CS] Ph.D. 2019 3D Scene and Event Understanding by Joint Spatial and Temporal Inference and Reasoning
  • Siyuan Qi [CS] Ph.D. 2019 Task-oriented Visual Understanding of Scenes and Events
  • Nishant Shukla [CS] Ph.D. 2019 Utility Learning, Non-Markovian Planning, and Task-Oriented Programming Language
  • Tianmin Shu [Stat] Ph.D. 2019 Social Scene Understanding: ¬†Group Activity Parsing, Human-Robot Interactions, and Perception of Animacy
  • Yang Liu [Stat] Ph.D. 2019 Learning Fluents for Task Representation
  • Tao Yuan [Stat] Ph.D. 2019 A Cognition Platform for Joint Inference of 3D Geometry, Object States, and Human Belief
  • Mitchell Hill [Stat] on Visualizing the Energy Landscape in Inference and Learning
  • Lifeng Fan [Stat] on Modeling and Learning Social Interactions and Social Norms
  • Arjun Akula [Stat] on Learning by Dialogues and Explainable AI
  • Ruiqi Gao [Stat] on Generative Learning: From DeepFRAME to AOG
  • Siyuan Huang [Stat] on Joint Parsing for Scene Reconstruction and Understanding
  • Feng Shi [CS] on VPU Chips for Vision and Learning
  • Mark Edmonds [CS] on Causal Learning and Robotics Manipulations
  • Luyao Yuan [CS] on Communicative Learning and Referential Game for Concept Learning
  • Xiaofeng Gao [Stat] on Multi-agent Collaborations and Explainable AI
  • Feng Gao [Stat] on Utility Learning and Task Planning
  • Hangxin Liu [Stat] on Human Robot Interaction and Learning by Mirroring
  • Xu Xie [Stat] on Mixed Reality for Robot Learning
  • Erik Nijkamp [Stat] MCMC Sampling of Generative Models
  • Yixin Chen [Stat] Holistic Scene and Event Parsing
  • Tengyu Liu [CS] Modeling and Learning 4D Human-Object Interactions and 4D Hand-Object Interactions
  • Chi Zhang [CS] A Unified Framework for Concept Learning from Few Examples: IQ-Test and Number Sense
  • Zilong Zheng [CS] Dislogue Management in Multi-modal Human-Robot Communication
  • Shu Wang [Stat] Fluent Calculus and Task Space in Real World Scenes
  • Qing Li [Stat] Language Grounding and Alignment in Multi-Agent System
  • Yuxin Qiu [CS] High Performance Simulation of Physical Phenomena
  • Sirui Xie [CS] The Interactions and Convergence of U and V
  • Pan Lu [CS] Scenario-Based Problem Solving with Joint Image-Text parsing and Commonsense Reasoning
  • Ziyuan Jiao [ME] Robot Grasping and Manipulation
  • Baoxiong Jia [CS] Joint Scene and Event and Prodiction
  • Zeyu Zhang [CS] Tool Manipulation
  • Yizhou Zhao [Stat] Learning and Communication in Multi-agent System
  • Steven Gong [CS]
Postdocs supervised
  • Xiuwen Liu, Postdoc 1999-2000, Texture modeling and Julesz ensemble
  • Hong Chen, Postdoc 2003-2006, Human face, hair, and cloth modeling and sketching
  • Haifeng Gong, Postdoc 2007-2009, Intrackability: An information Theoretical Criterion for pursuing Hybrid Video Representations
  • Liang Lin, Postdoc 2007-2009, Layered Graph Matching
  • Mingtao Pei Research Associate 2009-2011, Event understanding and Intent Prediction in Video
  • Tianfu Wu Postdoc 2011-2014, Decision policy and learning and-or graph for object detection and tracking.
  • Bo Zheng Research Associate 2012-2013, 3D scene parsing by reasoning physical stability and risk
  • Kewei Tu Postdoc 2012-2014, Joint video and text parsing, query answering, and grammar learning
  • Xiaobai Liu Postdoc 2013-2015, Attributed grammar for scene understanding, camera calibration and 3D reconstruction
  • Caiming Xiong Postdoc 2014-2015, Robot Learning from demonstrations.
  • Wei Liang Research Associate, 2013-2015, Container recognition and causality inferrence
  • Quanshi Zhang Postdoc 2014-2018, Webscale lifelong Communicative Learning.
  • Ping Wei Postdoc 2015-2017, Inferring the Mind of Agents in Video: Belief, Intent, and Attention
  • Jianwen Xie Postdoc 2016-2017, Generative and Decriptive Models (Deep Networks) for Learning
  • Yi-Qing Wang Postdoc 2016-2017, Fundmental Limits of Learning
  • Changsong Liu Postdoc 2016-2018, Communicative Learning and Situated Dialogues
  • Yixin Zhu Postdoc 2018-2020, Cognitive Robots
  • Keze Wang Postdoc 2018-2020, Explainable AI and Learning with small labelled examples
  • Zhang Zhang Research Associate 2019-2020, Explainable AI
Visiting Ph.D students supervised at UCLA
  • Zhi Han Visiting Ph.D Student 2009-2011, Video Primal Sketch: A Middle Level Generic Representation of Video
  • Shuo Wang Visiting Ph.D Student 2011-2013, Scene Modeling and Recognition with Tangram Model
  • Ping Wei Visiting Ph.D Student 2011-2012, Modeling 4DHOI and Concurrent Action and Affordance
  • Jifeng Dai Visiting Ph.D Student 2012-2013, Unsupervised learning for co-segmentation and image parsing
  • Li Bo Visiting Ph.D Student 2014-2016, Modeling Occlusion for vehicle detection, parsing, and fluent reasoning.
  • Wenguan Wang Visiting Ph.D Student 2016-2018, Joint parsing of human poses, attributes and actions by QA learning
  • Zhenliang Zhang Visiting Ph.D Student 2017-2019, Mixed reality for robot learning.
  • Zhixiong Nan Visiting Ph.D Student 2017-2019, Visual attention and intention inference
Many students were co-supervised at Microsoft Research Asia and Lotus Hill Institute during 1998-2010.
© S.-C. Zhu