About me

I am an Applied Scientist on the Oracle AI Science Team at Oracle Cloud Infrastructure (OCI), working on LLM benchmark & evaluation.

I received my Ph.D. in Computer Science from Michigan State University, where I was a member of SEIT Lab in the Department of Computer Science and Engineering, advised by Dr. Qiben Yan. 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, Interspeech’26), Voice Control Systems (NDSS’22), LLMs (RAID’23, arXiv’24), and IoT (MobiCom’20, CNS’24).

Before MSU, I completed my undergraduate at Xi’an Jiaotong University, China.

Professional Experience

Applied Scientist Sep 2026 – Present

Oracle · Santa Clara, CA

• LLM benchmark & evaluation

Research Scientist Intern Feb – Jun 2026

Adobe Research · San Jose, CA

• Deveop large-capacity audio watermarking model.

Multimodal Trustworthy Research Intern Sep – Dec 2025

Dolby Laboratories · Sunnyvale, CA

• Audio watermarking robustness benchmarking and optimization.

AI Security Research Scientist Intern Feb – Jul 2025

ByteDance Inc. · San Jose, CA

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

Research Scientist Intern Sep – Dec 2022

Samsung Research America · Mountain View, CA

• 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

Review Service

Journals

• IEEE Transactions on Mobile Computing
• IEEE Transactions on Industrial Informatics
• IEEE Internet of Things Journal
• IEEE MultiMedia
• IEEE/ACM Transactions on Audio, Speech, and Language Processing
• IEEE Transactions on Dependable and Secure Computing

Conferences

• ICASSP 2025 & 2026
• AAAI Agent4IR Workshop 2025

Last edited: Oct 2026.