I am a postdoctoral scholar in Prof. Song-Chun Zhu‘s VCLA lab at UCLA.
My research builds interactive AI by integrating high-level common sense (functionality, affordance, physics, causality) with raw sensory inputs (pixels and haptic signals) to enable richer representation and abstract reasoning on objects, scenes, shapes, numbers, and agents.
My work is currently supported by ONR MURI on Scene Understanding and DARPA XAI. I am a co-organizer of Vision Meets Cognition (FPIC) workshops, 3D Scene Understanding for Vision, Graphics, and Robotics workshops, and Virtual Reality Meets Physical Reality workshops.
We are looking for highly motivated students with exceptional programming skills and solid math background to work on 3D computer vision, abstract reasoning, physics-based simulation, and robotics. If you are a UCLA student and interested in working with me, please read some papers from the reading list before sending me an email. For a partial list of ongoing projects in the lab, see VCLA Project Bulletin.
Interests
- Computer Vision
- Artificial Intelligence
Education
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PhD in Statistics, 2018
UCLA
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MS in Computer Science, 2013
UCLA
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BEng in Software Engineering, 2012
Xi'an Jiaotong University