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Hongjing Lu


Associate Professor, Departments of Psychology & Statistics

The University of California, Los Angeles

6552 Franz Hall, Office #: 310-206-2587

Hongjing's Curriculum Vitae




Joseph Burling

I received my Ph.D. from  the University of Houston Developmental Cognitive Neuroscience interdisciplinary program where I studied the mechanisms involved in the development of visual attention, from infancy to early childhood. My work on computer vision approaches toward analyzing parent-infant interactions has led me to study how humans perceive and make sense of other humans' actions and the type of motion correspondences individuals are sensitive to when interpreting these actions. I'm currently working on projects that investigate how individuals understand actions based on motion dynamics of point-light displays (moving dot patterns), and also working on computational models of cognition that simulate the perception of complex motions by organizing motion information into hierarchical structures.

Graduate Students


Junzhu Su

I studied visual perception for my master degree at Peking University, focusing on the nerual mechanisms of perceptual learning. Now, I am working on action recognitionand inference. My research topics include action prediction, and how action inference interacts with attention/awareness. I am also fascinated about higher cognition such as decision making and complex reasoning using imaging techniques and quantitative modeling. <webpage> email







James Kubricht

While working toward my B. S. in physics from the University of Texas at Austin, I pursued research in cognitive psychology, specifically machine learning and computational approaches to category leaarning. At UCLA, I'm pursuing research in analogical reasoning from a computational perspective. I am interested in developing a computational framework of analogy which explains how knowledge of a source system is generated from basic perceptual inputs, and how depth of source knowledge affects implicit and explicit analogical transer. Furthermore, I am interested in how the quality of source representation is influenced by the method of source instruction, i.e., are animated source display more intuitive than verbal/diagram displays, and if so, do transfer rates to novel target problems reflect this increase in apparent source understanding. <webpage> email






Yujia Peng

I pursued research in visual perception on various topics, such as attention and face perception, during my undergraduate years at Peking University. At UCLA, I'm studying motion perception, especially "biological motion", including the biological motion perception in adults, infants and clinical populations such as Schizophrenia and Autism. I aim to address some key questions as (1) how constraint-based mechanisms emerge in the course of development during infancy for biological motion perception; (2) individual differences in applying these constraints for biological motion perception; and (3) what constrained, rational models can be developed to account for behavioral data. <webpage>email


Undergraduate Students


Janice Lau; Michael Finch; Kimson Nguyen; Steven Gomedi; Nikola Lazovich; Matthew Weiden; Timothy Tanaka; Shawna Kim; Jonny Chan; Nora Hamadan; Thach Nguyen; Jennifer Chng; Kevin Ruiz; Perla Saldivar; Mike Kim



Steven Thurman Senior Research Scientist, Senseye, Inc <webpage>
Jeroen J. A. van Boxtel Associate Professor, Monash University, Australia <webpage>
Alan Lee Assistant Professor, NanYang Technological University, Singapore <webpage>
Randall R. Rojas Department of Economics, UCLA <webpage>
Shuang Wu Dataist Company
Xuming He Senior Researcher, Computer Vision Group, NICTA, Australia
Matt Weiden UCSB CS Graduate Program