|
Yueqi Xie 谢悦琪
👋 Hi!
I am Yueqi Xie, a postdoctoral research associate at Princeton University, working with Prof. Yu Xie on AI and society.
I received my Ph.D. in computer science from HKUST, advised by Prof. Qifeng Chen and Prof. Sunghun KIM.
Before HKUST, I received my B.S. with honors from Peking University EECS.
Email /
Google Scholar
I'm happy to discuss and collaborate on related research, and I warmly encourage undergraduate and early graduate students to reach out with any questions or topics about research and academic life.
I especially encourage students from underrepresented groups to get in touch.
|
|
|
Research
I work on interdisciplinary study of AI and Society, including AI's social impact, socially responsible AI (AI safety, security, and privacy), and computational social science. My long-term goal is to understand and advance the relationship between AI and society, exploring both its technological and social dimensions.
Topics I currently focus on:
|
|
Education / Experience
- 2025-Present: Postdoctoral Research Associate, Princeton University
- 2020-2025: Ph.D. in Computer Science, HKUST
- 2024/4-2025/3: Visiting Student Researcher in Sociology at Princeton University, Princeton
- 2023/3-2024/2: Visiting Student Researcher at Duke University, Remote
- 2022/3-2022/8: Research Intern at Microsoft Research Asia, Beijing
- 2016-2020: B.S. in Intelligence Science and Technology, Peking University
- 2019/6-2019/9: Visiting Student at HKUST, Hong Kong
|
|
Selected Work
(* joint first authors, # corresponding authors)
Full Publication List on Google Scholar.
|
Socially Responsible Generative AI
Defending ChatGPT against Jailbreak Attack via Self-Reminder
Yueqi Xie*, Jingwei Yi*, Jiawei Shao, Justin Curl, Lingjuan Lyu, Qifeng Chen, Xing Xie, Fangzhao Wu
Nature Machine Intelligence, 2023
/
/
/
Media Coverage: TechXplore,
Tech Times
|
GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis
Yueqi Xie, Minghong Fang, Renjie Pi, Neil Gong
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
/
/
|
Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models
Jingwei Yi*, Yueqi Xie*, Bin Zhu, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025
/
/
|
AI's Societal Impact / Computational Social Science
Evidencing Unauthorized Training Data from AI Generated Content using Information Isotopes
Tao Qi, Jinhua Yin, Dongqi Cai, Yueqi Xie#, Huili Wang, Zhiyang Hu, Peiru Yang, Guoshun Nan, Zhili Zhou, Shangguang Wang#, Lingjuan Lyu, Yongfeng Huang#, Nicholas D. Lane#
Nature Communications (Accepted), 2025
|
Measuring Human Contribution in AI-Assisted Content Generation
Yueqi Xie*, Tao Qi*, Jingwei Yi*, Ryan Whalen, Junming Huang, Qian Ding, Yu Xie, Xing Xie, Fangzhao Wu
Preprint, 2024
/
/
|
Uncovering inequalities in new knowledge learning by large language models across different languages
Chenglong Wang, Haoyu Tang, Xiyuan Yang, Yueqi Xie#, Jina Suh, Sunayana Sitaram, Junming Huang, Yu Xie, Zhaoya Gong#, Xing Xie, Fangzhao Wu#
PNAS (Accepted), 2025
|
Secure and Robust Federated Learning
PoisonedFL: Model Poisoning Attacks to Federated Learning via Multi-Round Consistency
Yueqi Xie, Minghong Fang, Neil Gong
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
/
|
Defending against Model Poisoning Attacks for Federated Learning using Model Update Reconstruction Error
Yueqi Xie, Minghong Fang, Neil Gong
International Conference on Machine Learning (ICML), 2024
/
/
|
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics
Renjie Pi*, Weizhong Zhang*, Yueqi Xie*, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
/
/
|
- Young Scientists Program Scholarship, (2 in CSE Department), HKUST, 2025
- WSDM Best Paper Award Honorable Mention, 2023
- Research Travel Grant, HKUST, 2022, 2023
- Outstanding Graduate in Peking University, 2020
- Peking University Scholarship, 2018, 2019
- EmotioNet Challenge 2nd Prize, 2018
|
|