Ziyang Huang

Ziyang Huang

PhD Student, Computer Science · Johns Hopkins University

I am a PhD student in Computer Science at Center for Language and Speech Processing, Johns Hopkins University, co-advised by Prof. Benjamin Van Durme and Prof. Daniel Khashabi. I am broadly interested in the advancement and application of AI across the scientific community, with a focus on code generation and autonomous agents in service of scientific discovery.

Before the PhD, I completed my master's degree in Computer Science at Johns Hopkins University. I did my undergraduate studies at Purdue University with a dual major in Computer Science and Data Science, where I worked as a research assistant with Samuel Conte Professor Xiangyu Zhang and Zian Su on the pre-training and post-training of large language models for code learning, understanding, and generation.

Outside the lab I travel with a camera — see the photography page for where I have been :D

Publications

2026
FEROM: Frontier Endogenous Reveal-Order Marginal Policy Optimization for Masked Diffusion LMs
Zian Su, Ziyang Huang, Kaiyuan Zhang, Xiangyu Zhang
NeurIPS 2026
Can Coding Agents Reproduce Findings in Computational Materials Science?
Ziyang Huang, Yi Cao*, Ali K. Shargh*, Jing Luo, Ruidong Mei, Mohd Zaki, Zhan Liu, Wyatt Bunstine, William Jurayj, Somdatta Goswami, Tyrel McQueen, Michael Shields, Jaafar El-Awady, Paulette Clancy, Benjamin Van Durme, Nicholas Andrews, William Walden, Daniel Khashabi (*equal contribution)
COLM 2026
2025
μKE: Matryoshka Unstructured Knowledge Editing of Large Language Models
Zian Su*, Ziyang Huang*, Kaiyuan Zhang, Xiangyu Zhang (*equal contribution)
COLM 2025
Symbol Preference Aware Generative Models for Recovering Variable Names from Stripped Binary
Xiangzhe Xu, Zhuo Zhang, Zian Su, Ziyang Huang, Shiwei Feng, Yapeng Ye, Nan Jiang, Danning Xie, Siyuan Cheng, Lin Tan, Xiangyu Zhang
NDSS 2025
2024
Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases
Zian Su, Xiangzhe Xu, Ziyang Huang, Kaiyuan Zhang, Xiangyu Zhang
NeurIPS 2024
CodeArt: Better Code Models by Attention Regularization When Symbols Are Lacking
Zian Su, Xiangzhe Xu, Ziyang Huang, Zhuo Zhang, Yapeng Ye, Jianjun Huang, Xiangyu Zhang
FSE 2024

Teaching

Johns Hopkins University
CS 601.475/675: Introduction to Machine Learning · Course Assistant
Fall 2024 – Spring 2026
Purdue University
CS 37300: Data Mining & Machine Learning · Course Developer
Summers 2022, 2023
CS 37300: Data Mining & Machine Learning · UTA
Fall 2022 – Spring 2024
CS 25000: Computer Architecture · UTA
Summer 2022
CS 24200: Introduction to Data Science · UTA
Spring 2022