I am a final year PhD candidate from SEIT lab, department of Computer Science and Engineering, Michigan State University. My research is focusing on trustworthy AI and security & privacy, especially threats and safety topics related to Multimodal AI (CCS’22, WiSec’23, RAID’23, MobiCom’24, AsiaCCS’25, USENIX Security’25), voice control systems (NDSS’22), LLM (RAID’23, Arxiv’24), and IoT (MobiCom’20, CNS’24). I am advised by Dr. Qiben Yan.

Before my PhD career in MSU, I finished my undergraduate from Xi’an Jiaotong University in China.

I’m also exploring new opportunities in Research Scientist, Machine Learning Engineer, or AI engineer roles in the U.S. market. If you’d like to connect, feel free to reach out via LinkedIn or contact me directly through email.

Industry Experience

Multimodal Trustworthy Research Intern | Dolby Laboratories, Sunnyvale ｜ Sep 2025 - Dec 2025

• Audio watermarking robustness benchmarking and optimization.

AI Security Research Scientist Intern | ByteDance Inc., San Jose ｜ Feb 2025 - Jul 2025

• Develop WAF applications with LLM-enhanced anomaly detection and web bot prevention.

Research Scientist Intern | Samsung Research America, Mountain View ｜ Sep 2022 - Dec 2022

• Test the robustness of voice assistants in real-world scenarios and improve security.

Publications

My full paper 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: Objected-oriented Software Development, Fall 2021 and Spring 2022.

Invited Talk

Michigan State University Graduate Student Seminar: The Great Outage — Facebook Global Outage on Oct.4, 2021.

Review Service

• Journal
  • IEEE Transactions on Mobile Computing
  • IEEE Transactions on Industrial Informatics
  • IEEE Internet of Things Journal
  • IEEE MultiMedia
• Conference
  • ICASSP 2025
  • AAAI Agent4IR Workshop 2025