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, Bowen Wen, 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 and Tracking, Object Grasping, and Human-robot Interaction related topics. [View my CV (short version/long version)] (Updated in Feb. 2024).

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 May 2020 to May 2021 and May 2022 to Dec 2022, advised by Stan Birchfield; Meta FAIR Accel Ego-HowTo team from May 2023 to November 2023, advised by Kevin Liang and Matt Feiszli.


Industry Experience

  • Research Intern in FAIR Accel, 05/2023 - 11/2023


  • Research Intern in Learning and Perception Research Group, 05/2022 - 12/2022 & 05/2020 - 05/2021



  • Ph.D. in Electrical and Computer Engineering, 2024 (Expected)

    Georgia Institute of Technology

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

    Georgia Institute of Technology

  • B.E. in Automation, 2018

    Southeast University


Quickly discover relevant content by filtering publications.
Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation
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