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Hongjing Lu


Professor, Departments of Psychology & Statistics

The University of California, Los Angeles

3457 Franz Hall, Office #: 310-206-2587

Hongjing's Curriculum Vitae



Gennady Erlikhman

I'm interested in how the visual system aggregates form and motion information over time into unitary percepts of individual objects. For example, when you glimpse a house between the slats of a fence while driving, the impression is of a single, large object, even though in each "frame" or perceptual moment only a sliver of the object projects to the eye. I study this and related processes with psychophysical, neuroimaging, and computational methods.  <webpage> email

Graduate Students




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


Akila Kadambi

I received my B.S. in Cognitive Science from the University of California, San Diego. My primary research interest involves understanding how our visual system is able to perceive and understand sophisticated human actions and movements. By integrating computational modeling techniques and psychophysical and behavioral experimentation, I aim to gain a fine-tuned representation of how our visual system can support complex action understanding and reasoning. Currently, I am utilizing point-light displays to construct various biological actions, and plan to investigate impairments in action perception working in conjunction with clinical populations such as Autism and Schizophrenia. <webpage> email


Hannah Lee

I received my B.A. in psychology from Duksung Women’s University, Seoul, Korea. I have been interested in investigating a putative link between biological motion perception and higher-level social cognition. My previous work involves examining how emotion information conveyed by biological motion stimuli influences the perceptual threshold or how those with impaired social cognition, especially patients with schizophrenia, fail to benefit from social cues embedded in biological motion in working memory tasks. At UCLA, I aim to expand my understanding of the unique mechanisms of biological motion perception by employing paradigms that tap into lower-level perceptual processes. <webpage> email





Nick Ichien

I received a BA in psychology at New York University and an MSc in the philosophy of social science at the London School of Economics. Broadly, I am interested in mental representations in higher cognition. Humans are able to think and reason about themselves and others, their environment, fictional environments, and abstractions (e.g. mathematical systems) in a variety of ways. Mental representations can be thought of as the kinds of entities through which thoughts are "about" these things, and they are integral to a lot of psychological explanations. More specifically, I am interested in what phenomena like analogical reasoning, metaphor comprehension, and causal reasoning indicate about the human cognitive system and its representations. Under Hongjing Lu and Keith Holyoak, and I am working on a project examining a particular kind of mental representation, one that allows humans to understand various entities as being related to each other in various ways. This ability includes being able to see that the following entities instantiate the italicized relations: that a spear is a kind of weapon, that gluttony is an excessive form of eating, that the value 10 is 2 plus or 2 more than 8. We are modeling the emergence of these representations at the computational level and are examining to what extent aspects of this computational account can predict human behavior and neural activity. <webpage> email




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Steven Thurman Senior research scientist, ARMY Research Lab <webpage>
Jeroen J. A. van Boxtel Associate Professor, Monash University, Australia <webpage>
Alan Lee Assistant Professor, Lingnan University, Hong Kong <webpage>
Randall R. Rojas Assistant Professor, Department of Economics, UCLA <webpage>
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Xuming He Senior research scientist, Computer Vision Group, NICTA, Australia
Matt Weiden UCSB CS Graduate Program