About me
I am a final-year PhD candidate from SEIT Lab, Department of Computer Science and Engineering, Michigan State University. My research focuses on trustworthy AI, security & privacy — especially threats and defenses related to Multimodal AI (CCS’22, WiSec’23, RAID’23, MobiCom’24, AsiaCCS’25, USENIX Security’25), Voice Control Systems (NDSS’22), LLMs (RAID’23, arXiv’24), and IoT (MobiCom’20, CNS’24). I am advised by Dr. Qiben Yan.
Before MSU, I completed my undergraduate at Xi’an Jiaotong University, China.
I’m actively seeking Research Scientist, ML Engineer, or AI Engineer roles in the U.S. Feel free to reach out via LinkedIn or email.
Professional Experience
- Audio watermarking robustness benchmarking and optimization.
- Developed WAF applications with LLM-enhanced anomaly detection and web bot prevention.
- Tested robustness of voice assistants in real-world scenarios and improved security.
Publications
My full publication list is here.
Awards
- Dissertation Completion Fellowship (DCF) 2024 · Michigan State University
- Best Paper Honorable Mention Award · CCS 2022
- Student Travel Grant · CNS 2020
Teaching
CSE 335: Object-Oriented Software Development · Fall 2021 & Spring 2022
Invited Talk
Michigan State University Graduate Student Seminar: The Great Outage — Facebook Global Outage on Oct. 4, 2021
Review Service
Journals
- IEEE Transactions on Mobile Computing
- IEEE Transactions on Industrial Informatics
- IEEE Internet of Things Journal
- IEEE MultiMedia
Conferences
- ICASSP 2025
- AAAI Agent4IR Workshop 2025