Weikun Peng
Scholar

Weikun Peng

Google Scholar ID: QL0HBOsAAAAJ
PhD student, Simon Fraser University
Computer GraphicsRoboticsEmbodied AI
Citations & Impact
All-time
Citations
500
 
H-index
4
 
i10-index
3
 
Publications
6
 
Co-authors
3
list available
Resume (English only)
Academic Achievements
  • - iTACO: Interactable Digital Twins of Articulated Objects from Casually Captured RGBD Videos
  • - TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach
  • - ManiFoundation Model for General-Purpose Robotic Manipulation of Contact Synthesis with Arbitrary Objects and Robots
  • - Generalizable Long-Horizon Manipulations with Large Language Models
  • - ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding
Research Experience
  • - Research intern at MVIG group, Shanghai Jiao Tong University, July 2024 – December 2024, worked with Jun Lv on robotic manipulation and articulated object reconstruction projects.
  • - Research intern at SenseTime Research, August 2021 – November 2022, worked with Dailan He and Dr. Yan Wang on deep image compression and image compression for machine perception.
Education
  • - Ph.D. in Computer Science, Jan 2025 - present, Simon Fraser University, Advisor: Prof. Manolis Savva
  • - Msc. in Artificial Intelligence, Aug 2022 - Jun 2024, National University of Singapore, Advisor: Prof. Lin Shao
  • - B.Eng. in Computer Science, Sep 2018 - Jun 2022, Beihang University
Background
  • Research interests lie in the intersection of computer graphics and robotics. Recently, curious about modeling the functionality of objects from ego-centric videos and thus pushing forward the Real-to-Sim-to-Real learning paradigm in robotics.
Miscellany
  • Outside of research, enjoys hiking, cooking, and reading. Favorite novelist is Stefan Zweig.