Anthony Peng

Hi, I'm Anthony, a CS PhD at Georgia Tech.
My research aims to make foundation models safe and reliable as their capabilities scale. I develop training methods and design principles that strengthen safety during adaptation and reasoning, improve robustness and visual understanding, and expand capabilities within practical data and compute budgets.
My dissertation, advised by Polo Chau, has elevated foundational AI efforts across leading technology organizations, including Nvidia, Meta, IBM Research, Intel Lab, and ADP.

Research Highlights

Yan Zheng, ShengYun Peng , Xuyao Liang, Xiaoyan Cong, Nuo Chen, Bangya Liu, Zihan Wang, Wenyan Cong, Zhiwen Fan, Zhangyang Wang
NeurIPS Evaluations & Datasets Track, 2026
ShengYun Peng , Eric Smith, Ivan Evtimov, Song Jiang, Pin-Yu Chen, Hongyuan Zhan, Haozhu Wang, Duen Horng Chau, Mahesh Pasupuleti, Jianfeng Chi
EMNLP, 2026
Mansi Phute, Matthew Hull, Haoran Wang, Alec Helbling, ShengYun Peng , Willian Lunardi, Martin Andreoni, Wenke Lee, Duen Horng Chau
PAKDD, 2026
ShengYun Peng , Pin-Yu Chen, Jianfeng Chi, Seongmin Lee, Duen Horng Chau
NeurIPS, 2025
Xiaohui Chen, Satya Shukla, Mahmoud Azab, Aashu Singh, Qifan Wang, David Yang, ShengYun Peng, Hanchao Yu, Shen Yan, Xuewen Zhang, Baosheng He
ICCV, 2025
Peiqi Wang, ShengYun Peng, Xuewen Zhang, Hanchao Yu, Yibo Yang, Lifu Huang, Fujun Liu, Qifan Wang
ACL, 2025
ShengYun Peng , Seongmin Lee, Xiaojing Wang, Raji Balasubramaniyan, Duen Horng Chau
AAAI SDU Workshop, 2024
ShengYun Peng , Seongmin Lee, Xiaojing Wang, Raji Balasubramaniyan, Duen Horng Chau
NeurIPS TRL Workshop, 2023
Mansi Phute, Alec Helbling, Matthew Hull, ShengYun Peng , Sebastian Szyller, Cory Cornelius, Duen Horng Chau
ICLR Tiny Papers Track, 2024
ShengYun Peng , Weilin Xu, Cory Cornelius, Matthew Hull, Kevin Li, Rahul Duggal, Mansi Phute, Duen Horng Chau, Jason Martin
BMVC, 2023