Yiheng Xie

Ph.D. student @ Caltech

yxie(number_five)@caltech.edu

MC305-16

I am a first-year PhD student at Caltech, advised by Steven Low in the Department of Computing and Mathematical Sciences. My research focuses on the modeling, control and optimization of energy systems. I am currently building a campus-scale cyber-physical testbed at Caltech, including synchronized waveform and phasor measurement units and distributed energy resources. Our work provides a foundation for a variety of downstream applications such as real-time state estimation, topology & parameter estimation, transient event analysis, inverter control, carbon emission tracking and reduction, to name a few.

I completed my undergraduate studies in Computer Engineering at Brown University, where I worked on various topics in robotics, reinforcement learning, and 3D computer vision. I have also spent some time in the industry. In 2022, I worked on data-driven solutions to accelerate Rhode Island’s sustainable energy transition at AWS ETHOS Hub, a not-for-profit organization. I was a researcher at Unity Technologies for two years, building industry-leading 3D reconstruction pipelines. Prior, I worked in several start-up companies applying machine learning to problems in vision and natural languages.

[CV] [Resume].

Publications

  1. EG/CVPR
    Neural Fields in Visual Computing and Beyond
    Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, and Srinath Sridhar
    Eurographics STARs, CVPR Tutorial 2022
  2. AAAI
    Learning Generalizable Behavior via Visual Rewrite Rules
    Yiheng Xie, Mingxuan Li, Shangqun Yu, and Michael Littman
    AAAI Workshop 2022
  3. Carbon
    Shear failure in supported two-dimensional nanosheet van der Waals thin films
    Cintia Castilho, Dong Li, Yiheng Xie, Huajian Gao, and Robert Hurt
    Carbon 2021