
ShengYun (Anthony) Peng
CS PhD at Georgia Tech
Hi, I'm Anthony, a CS PhD at
Georgia Tech working with Polo Chau. My research advances safer, more efficient, and robust AI systems at scale — spanning training, inference, and deployment — by tackling core challenges in safety alignment, inference efficiency, and scalable system design across language, vision, and multimodal models:
• Advancing Safety Alignment Throughout Model Training: LLM safety basin, the first framework explaining how minimal unsafe data can collapse alignment during fine-tuning (NeurIPS'24); robust CNN architectures that achieved SOTA on RobustBench (BMVC Best Poster Award); dynamic safety shaping framework for LLM finetuning risk mitigation (In Submission).
• Optimizing Inference for Scalability and Throughput: video VLM scaling study for optimal inference (ACL'25); token reduction method that doubles LLM inference throughput (In Submission).
• Bridging Research and Deployment for Real-World Impact: UniTable, a modular table parsing system with over 470+ stars (workshops at NeurIPS'23 (oral), AAAI'24 (oral), & NeurIPS'24); distributed systems tutorials on Medium (33K+ readers).
• Optimizing Inference for Scalability and Throughput: video VLM scaling study for optimal inference (ACL'25); token reduction method that doubles LLM inference throughput (In Submission).
• Bridging Research and Deployment for Real-World Impact: UniTable, a modular table parsing system with over 470+ stars (workshops at NeurIPS'23 (oral), AAAI'24 (oral), & NeurIPS'24); distributed systems tutorials on Medium (33K+ readers).
I am fortunate to have collaborated with researchers, developers, scientists, and engineers at
Georgia Tech,
Meta,
IBM Research,
Intel Lab,
ADP,
UCLA.



Featured Publications
ShengYun Peng , Pin-Yu Chen, Jianfeng Chi, Seongmin Lee, Duen Horng Chau
In Submission,
2025
Peiqi Wang, ShengYun Peng, Xuewen Zhang, Hanchao Yu, Yibo Yang, Lifu Huang, Fujun Liu, Qifan Wang
ACL,
2025
ShengYun Peng , Pin-Yu Chen, Matthew Hull, Duen Horng Chau
NeurIPS,
2024
ShengYun Peng , Seongmin Lee, Xiaojing Wang, Raji Balasubramaniyan, Duen Horng Chau
NeurIPS TRL Workshop,
2024
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
ShengYun Peng , LingFeng Yan, Bin He, Ying Zhou
Smart Structures and Systems,
2021