I am a final year PhD candidate from SEIT lab, department of Computer Science and Engineering, Michigan State University. My research is focusing on machine learning & security and privacy, especially threats and safety topics related to speech AI (CCS’22, WiSec’23, RAID’23, MobiCom’24, AsiaCCS’25, USENIX Security’25), side-channel attacks (NDSS’22), LLM safety(RAID’23, Arxiv’24), and IoT (MobiCom’20, CNS’24). I am advised by Dr. Qiben Yan. Currently, I am an AI Security Research Scientist Intern at ByteDance, San Jose, where I work on leveraging GenAI/LLM to detect threats and enhance security in cloud services and firewalls.

Before my PhD career in MSU, I obtained my BEng from Xi’an Jiaotong University in 2016 and MEng from North China Electric Power Univesity (Beijing) in 2019.

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

Industry Experience

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

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

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