Hanlin Zhang

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About

I am a CS PhD student at Harvard, advised by Sham Kakade.

I am interested in foundations and social implications of machine learning.

I received my Master's degree in Machine Learning at CMU, advised by Eric Xing.

Selected Works

How Does Critical Batch Size Scale in Pre-training?
ICLR, 2025. [Paper] [Blog] [Code]

Hanlin Zhang, Depen Morwani, Nikhil Vyas, Jingfeng Wu, Difan Zou, Udaya Ghai, Dean Foster, Sham Kakade

Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models
ICML, 2024. [Paper] [Website] [Blog] [Code]
Hanlin Zhang, Benjamin L Edelman*, Danilo Francati*, Daniele Venturi, Giuseppe Ateniese, and Boaz Barak

Improved Logical Reasoning of Language Models via Differentiable Symbolic Programming
Findings of ACL, 2023. [Paper] [Code]
Hanlin Zhang*, Jiani Huang*, Ziyang Li, Mayur Naik, Eric Xing

Towards Principled Disentanglement for Domain Generalization
CVPR, 2022. (Oral) [Paper] [Code]
Hanlin Zhang*, Yi-Fan Zhang*, Weiyang Liu, Adrian Weller, Bernhard Schölkopf, Eric Xing

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