Fangzhao Zhang
I am a fourth-year PhD student in the Department of Electrical Engineering at Stanford Uniforsity, advised by Stephen Boyd and Mert Pilanci. Prior to joining Stanford, I obtained my bachelor’s degree from the University of British Columbia, majoring in combined honors math and computer science. My research interest lies broadly in convex optimization and deep learning.
Email: zfzhao@stanford.edu
Research
- Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes paper
Erica Zhang*, Fangzhao Zhang*, Mert Pilanci
Preprint 2024 - Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing paper
Elad Romanov, Fangzhao Zhang, Mert Pilanci
Preprint 2024 - Spectral Adapter: Fine-Tuning in Spectral Space paper code
Fangzhao Zhang, Mert Pilanci
Conference on Neural Information Processing System (NeurIPS) 2024 - Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models paper code
Fangzhao Zhang, Mert Pilanci
International Conference on Machine Learning (ICML) 2024 - Analyzing Neural Network-Based Generative Diffusion Models through Convex Optimization paper
Fangzhao Zhang, Mert Pilanci
Preprint 2024 - Optimal Shrinkage for Distributed Second-Order Optimization paper
Fangzhao Zhang, Mert Pilanci
International Conference on Machine Learning (ICML) 2023 - Implementation of an Oracle-Structured Bundle Method for Distributed Optimization paper code
Tetiana Parshakova, Fangzhao Zhang, Stephen Boyd
Optimization and Engineering 2023
Teaching
Head TA: EE364A/CME364A (2024-2025 Winter, Stanford)
Honors
Stanford Graduate Fellowship Stanford 2021
Governor General's Academic Medal (media cover) UBC 2021