Emily Y. Chen

I am a first year Master's student in Electrical and Computer Engineering (Intelligent Systems, Robotics, and Control track) at the University of California, San Diego advised by Dr. Xiaolong Wang. My current research interests lie at the intersection of computer vision and robotics.

I received my Bachelor's degree in Computer Engineering from the University of Ilinois Urbana Champaign, advised by Dr. Shenlong Wang, where my senior thesis was on building a unified multi-modal representation for autonomous driving tasks.

I've also done optical quantum information research, specifically in developing a quantum memory system, with Dr. Paul Kwiat's group.

Email  /  CV  /  Github

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Honors

Awarded by the University of Illinois Urbana Champaign
  • Pascoe Engineering Scholarship
  • Illinois Engineering Achievement Scholarship
  • Illinois Engineering Outstanding Scholarship
  • ECE Visionary Scholarship
  • Eleftherios Polychronopoulos Scholarship
  • Engineering Visionary Scholarship
  • Oakley Scholarship
  • Yunni and Maxine Pao Memorial Scholarship
  • Lauren Kelley Memorial Scholarship

Publications + Presentations
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NeRF2Physics: Physical Property Understanding from Language-Embedded Feature Fields
Albert Jianqiao Zhai, Yuan Shen, Emily Y. Chen, Gloria Wang, Xinlei Wang, Sheng Wang, Kaiyu Guan, Shenlong Wang
International Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[Paper] [Project] [Code]
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Working Towards an Active Stabilization System for a Low-loss, Free-space Optical Quantum Memory
Emily Y. Chen, Colin P. Lualdi, Michael Vayninger, Nathan T. Arnold, Paul G. Kwiat
American Physical Society Conference for Undergraduate Women in Physics, 2023
[poster presentation]
[Poster]

Industry Experience
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NVIDIA (May 2024 - August 2024)
Computer Vision Engineer Intern
  • Integrated a transformer-based tracker supporting detections in both BEV (bird’s eye view) and PV (perspective view) feature representation space
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NVIDIA (May 2023 - August 2023)
Computer Vision Engineer Intern, Autonomous Vehicles LiDAR Perception
  • Grid – based tracking and mapping algorithm using particle filters to track low level freeform obstacle detections
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Cepton (May 2022 - August 2022)
Software Engineer Intern, LiDAR Perception
  • Object detection and tracking algorithm to monitor angles of towed trailer using Cepton’s LiDAR sensors

Hobbies

Badminton, running, bouldering, hiking, reading

Design and source code forked from Jon Barron's website.

Updated May 2024.