Han (Paris) Zhang 章晗

I am a second-year Master's student in Computer Science at Stanford University. At Stanford, I'm honored to receive the Siebel Scholars award of the Class of 2025.

I received my B.A. in Computer Science and Economics from UC Berkeley, where I received the Berkeley EECS Department Citation Award.

At Berkeley, I researched on vision and language, advised by Prof. Trevor Darrell, Prof. Joseph E. Gonzalez, and Ph.D. candidate Lisa Dunlap. Previously, I was fortunate to work with Prof. Yixin Wang and Ph.D. candidate Mihaela Curmei on recommendation systems and social networks.

Email  /  Google Scholar  /  LinkedIn

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Research

I'm broadly interested in computer vision, specifically generative models, vision-and-language multimodalities, and robustness & interpretability. I'm also excited to explore other interesting topics.

Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation
Lisa Dunlap, Alyssa Umino, Han Zhang, Jiezhi Yang, Joseph E. Gonzalez, Trevor Darrell
NeurIPS 2023
website / arXiv / code

We introduce ALIA, a method which utilizes large vision and language models to automatically generate natural language descriptions of a dataset's domains and augment the training data via language-guided image editing.


Using Language to Extend to Unseen Domains
Lisa Dunlap, Clara Mohri, Han Zhang, Devin Guillory, Trevor Darrell, Joseph E. Gonzalez, Aditi Raghunathan, Anna Rohrbach
ICLR 2023 (Spotlight)
website / arXiv / code / blog

We propose LADS, a method that learns a transformation of the image embeddings from the training domain to each unseen test domain guided by language, while preserving task relevant information.


Delayed and Indirect Impacts of Link Recommendations
Han Zhang, Shangen Lu, Yixin Wang, Mihaela Curmei
FAccT 2023
arXiv / code

We find that link recommendations have surprising delayed and indirect effects on the structural properties of networks through adapting a simulation-based approach and an explicit dynamic formation model.


Industry
Applied Research Engineer Intern, NVIDIA
June 2024 - September 2024

Developed and released Commercial VILA, a Vision-Language Model trained on commercial images only.

Designed autolabeling workflows for 3D Vision-Language Models development on industrial applications.

Research Intern, Tencent AI Lab
June 2023 - Feb 2024

Researched on 3D-aware human body generation using diffusion models, ControlNet, and autoencoders.

Engineering Summer Analyst, Goldman Sachs
June 2022 - August 2022

Developed and modularized a calculator for a loan product, GS Select, to automatically calculate a key financial metric, risk-weighted asset, on a daily frequency.

Software Engineer Intern, Bytedance
March 2021 - August 2021

Optimized Tiktok's Android Package size and cold startup time, through developing optimization passes based on Facebook's open-source Android bytecode optimizer ReDex.

Misc

At UC Berkeley, I was a member of UPE (CS Honor Society), PBK (Academic Honor Society), and AWE (Association of Women in EE&CS). From 2020 to 2021, I served as the Director of the International Affairs Department in ASUC Senator Rex Zhang's office.

In my spare time, I enjoy watching movies and dining out. My top 3 movies are Before Sunrise, Blade Runner, and Infernal Affairs (无间道).


Website template from Jon Barron. Thanks for stopping by :)
Last updated: Sep 22, 2024