About
Hi there! I’m Baixiang, a CS PhD student at Emory University, advised by Dr. Kai Shu. My research has focused on improving the factuality, safety, and robustness of foundation models, particularly through model editing, a technique that enables precise and efficient modifications to large language models while preserving their overall capabilities.
Previously, I have worked on authorship attribution, which aims to identify the author of a text based on their unique writing style.
In my free time, I enjoy spending time in nature and staying active through various outdoor sports. Iโm an avid runner and swimmer, and Iโve recently taken up weightlifting. I also find joy in playing the piano and expanding my reading list.
[LinkedIn] [Google Scholar] [GitHub] [Email] [Twitter]
Publications and Preprints
Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm
Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu.
AAAI 2026 Oral [arXiv] [GitHub] [Website]
Can Editing LLMs Inject Harm?
Canyu Chen*, Baixiang Huang*, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Wang, Philip Torr, Dawn Song, Kai Shu.
AAAI 2026 [arXiv] [GitHub] [Website]
Can Knowledge Editing Really Correct Hallucinations?
Baixiang Huang, Canyu Chen, Xiongxiao Xu, Ali Payani, Kai Shu.
ICLR 2025 [arXiv] [GitHub] [Website]
SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting
Xiongxiao Xu, Canyu Chen, Yueqing Liang, Baixiang Huang, Guangji Bai, Liang Zhao, Kai Shu.
CIKM 2025 [arXiv] [GitHub]
Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges
Baixiang Huang, Canyu Chen, Kai Shu.
ACM SIGKDD Exploration 2024 [arXiv] [Paper List] [Website]
Can Large Language Models Identify Authorship?
Baixiang Huang, Canyu Chen, Kai Shu.
EMNLP 2024 Findings [arXiv] [GitHub]
TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks
Baixiang Huang, Bryan Hooi, Kai Shu.
ACM SIGSPATIAL 2023 [arXiv] [GitHub]
Preprints
Who's Your Judge? On the Detectability of LLM-Generated Judgments
Dawei Li, Zhen Tan, Chengshuai Zhao, Bohan Jiang, Baixiang Huang, Pingchuan Ma, Abdullah Alnaibari, Kai Shu, Huan Liu.
arXiv preprint (2025) [arXiv] [GitHub] [Website]
Privacy-Aware Decoding: Mitigating Privacy Leakage of Large Language Models in Retrieval-Augmented Generation
Haoran Wang, Xiongxiao Xu, Baixiang Huang, Kai Shu.
arXiv preprint (2025) [arXiv] [GitHub]
* Equal Contribution
Tools and Resources
BibTeX to Markdown Converter: Convert BibTeX files into clean Markdown paper lists with PDF links
Medium Blog
How to Visualize Street Networks
Can Editing LLMs Inject Harm? A Deep Dive into New Safety Threats