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).
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] Ph.D. 2020, Learning and Mapping Energy Functions of High-Dimensional Image Data
Hangxin Liu[CS] Ph.D.2021, Robot Imitation by Action Understanding, Mirroring, and Interactions
Siyuan Huang[Stat] Ph.D. 2021, Human-like Hollistic 3D Scene Understanding
Xu Xie[Stat] Ph.D. 2021, ?Robot Learning from Interactions with Physics-realistic Environment: Constructing Big Task Platform for Training AI Agents
Zilong Zheng[CS] Ph.D. 2021, Multimodal Conversation Modeling via Neural Perception, Structure Learning, and Communication
Feng Shi[CS] Ph.D. 2021, Adaptive AI algorithms & Unified Hardware Acceleration
Lifeng Fan[Stat] Ph.D. 2021, A Hierarchical Computational Framework for Social Interaction Understanding
Tengyu Liu[CS] Ph.D. 2021, Hierarchical Modeling of Human-Object Interactions: from Concurrent Action Parsing to Physics-Based Grasping
Ruiqi Gao[Stat] Ph.D. 2021, Effective Learning of Descriptive and Generator Models and Learning Representations for Grid Cells and V1 Cells
Erik Nijkamp[Stat] Ph.D. 2021, Learning Descriptive and Generative Models with Short-Run MCMC
Mark Edmonds[CS] Ph.D. 2021, Learning How and Why: Causal Learning and Explanation from Physical, Interactive, and Communicative Environments
Arjun Akula[Stat] Ph.D. 2021, Gaining Justified Human Trust by Improving Explainability in Vision and Language Reasoning Models
Luyao Yuan[CS], on Communicative Learning and Referential Game for Concept Learning
Xiaofeng Gao[Stat], on Multi-agent Collaborations and Explainable AI
Yixin Chen[Stat], Holistic Scene and Event Parsing
Chi Zhang[CS], A Unified Framework for Concept Learning from Few Examples: IQ-Test and Number Sense
Shu Wang[Stat], Fluent Calculus and Task Space in Real World Scenes
Qing Li[Stat], Language Grounding and Alignment in Multi-Agent System
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 Manipulation, Causal Action Planning and Motion Planning
Baoxiong Jia[CS], Joint Scene and Event Parsing and Prodiction
Zeyu Zhang[CS], Tool Manipulation
Yizhou Zhao[Stat], Learning and Communication in Multi-agent System
Steven Gong[CS], Scenario-Based Problem Solving
Muzhi Han[ME], Robot Action Planning based on Scene Understanding and Cognitive Reasoning
Jonathan Mitchell[CS], Joint Scene and Activity Understanding
Liang Qiu[EE], Social and Conversational Agents
Yining Hong[CS], Neural Symbolic Reasoning, Automated Math Problem Solving and Commonsense Reasoning
Xiaojian Ma[CS], Robotics and Multi-agent Systems
Dequan Kong[Stat], Statistical Modeling and Learning
Xu Chao[Stat], Scene Understanding
Qian Long[CS], Multi-Agent Systems
Xiuwen LiuPostdoc 1999-2000, Texture modeling and Julesz ensemble
Hong ChenPostdoc 2003-2006, Human face, hair, and cloth modeling and sketching
Haifeng GongPostdoc 2007-2009, Intrackability: An information Theoretical Criterion for pursuing Hybrid Video Representations
Liang LinPostdoc 2007-2009, Layered Graph Matching
Mingtao PeiResearch Associate 2009-2011, Event understanding and Intent Prediction in Video
Tianfu WuPostdoc 2011-2014, Decision policy and learning and-or graph for object detection and tracking.
Bo ZhengResearch Associate 2012-2013, 3D scene parsing by reasoning physical stability and risk
Kewei TuPostdoc 2012-2014, Joint video and text parsing, query answering, and grammar learning
Xiaobai LiuPostdoc 2013-2015, Attributed grammar for scene understanding, camera calibration and 3D reconstruction
Caiming XiongPostdoc 2014-2015, Robot Learning from demonstrations.
Wei LiangResearch Associate, 2013-2015, Container recognition and causality inferrence
Quanshi ZhangPostdoc 2014-2018, Webscale lifelong Communicative Learning.
Ping WeiPostdoc 2015-2017, Inferring the Mind of Agents in Video: Belief, Intent, and Attention
Jianwen XiePostdoc 2016-2017, Generative and Decriptive Models (Deep Networks) for Learning
Changsong LiuPostdoc 2016-2018, Communicative Learning and Situated Dialogues
Yixin ZhuPostdoc 2018-2020, Cognitive Robots
Keze WangPostdoc 2018-2020, Explainable AI and Learning with small labelled examples
Many students were co-supervised at Microsoft Research Asia and Lotus Hill Institute during 1998-2010.