Zilu Li

Hi! I'm a first-year CS PhD student at UC San Diego, co-advised by Prof. Ravi Ramamoorthi and Prof. Tzu-Mao Li. My research focus revolves around computer graphics, and neural fields. Previously, I was an undergrad at Cornell where I was fortunate to work with Prof. Bharath Hariharan, Prof. Steve Marschner, and Prof. Gordon Wetzstein.

Email: zil124 [at] ucsd [dot] edu

Email / Google Scholar / Twitter / Github

Research

	Neural Control Variates with Automatic Integration Zilu Li, Guandao Yang, Qingqing Zhao, Xi Deng, Leonidas Guibas, Bharath Hariharan, Gordon Wetzstein SIGGRAPH, 2024 We present a method that uses arbitrary neural network architectures as control variates with automatic differentiation to create unbiased, low-variance, and numerically stable Monte Carlo estimators for various problem setups.
	Neural Cache for Monte Carlo Partial Differential Equation Solver Zilu Li, Guandao Yang, Xi Deng, Christopher De Sa, Bharath Hariharan, Steve Marschner SIGGRAPH Asia, 2023 [Page] Using neural field caches to reduce variance in Monte Carlo PDE solvers. Our method excels when computing is limited and enables effective bias and variance trade-off.
	BT^2: Backward-compatible Training with Basis Transformation Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Taipeng Tian, Ser-Nam Lim ICCV, 2023 [Paper] Introducing a Basis Transformation Method to avoid backfilling in learning new representations for modern retrieval systems.

Miscellaneous

Outside of research, I spend most time rocking with my band Cornell Interlude and random city-walking:D

Teaching

I served as a teaching assistant for the following courses.

Spring 2024: CS 4670 Computer Vision

Spring 2023, Fall 2023: CS 4780 Machine Learning for Intelligent Systems

Website Template: Jon Barron's website.