I am an ECE Ph.D. candidate advised by Patricio A. Vela at Institute for Robotics and Intelligent Machines, Georgia Tech. I also collaborate closely with Jonathan Tremblay, Stephen Tyree, and Stan Birchfield from NVIDIA Research. I am a practical roboticist, interested in combining robotics and computer vision together to solve the challenges in the real world. To be more specific, I am working on 6-DoF Object Pose Estimation, Sim2Real, and Perception-in-the-Loop related topics. [View my CV] (Updated in June 2022).

I received B.E. in Automation from Southeast University in 2018, advised by Wenze Shao and Yangang Wang. I was also a research intern at Applied Nonlinear Control Lab, University of Alberta, in 2017, advised by Alan Lynch; NVIDIA Learning and Perception Research group from 2020 to 2021, advised by Stan Birchfield. My previous research experiences include (a) Underwater Robot System Design, (b) Image Motion Deblurring, (c) Visual Servoing of Unmanned Vehicle Systems, and (d) Object Grasping via Primitive Shapes.



  • Robotics
  • Computer Vision
  • Image Processing


  • Ph.D. in Electrical and Computer Engineering, 2023 (Expected)

    Georgia Institute of Technology

  • M.S. in Electrical and Computer Engineering, 2020

    Georgia Institute of Technology

  • B.E. in Automation, 2018

    Southeast University


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Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation
SGL: Symbolic Goal Learning in a Hybrid, Modular Framework for Human Instruction Following
Single-Stage Keypoint-based Category-level Object Pose Estimation from an RGB Image