I am a Ph.D. student in Computer Sciences at the University of Wisconsin–Madison, advised by Prof. Suman Banerjee.
My research focuses on machine learning systems (MLSys) for multimodal large language models (MLLMs) and video understanding/streaming, emphasizing efficiency and scalability across training/serving infrastructure, streaming/data pipelines, and storage systems.
Previously, I received my Master’s degree from CS@UMN, advised by Prof. Feng Qian.
Research
My research focuses on machine learning systems for multimodal/video and efficient model training & serving. Representative topics:
- Resource efficient multimodal LLM inference (Zoomer, ViTL)
- Learning based multimodal streaming systems (MLSys '25, NSDI '22, HotMobile '21)
- Mobile immersive systems & networking (NSDI '24, ATC '21, MobiSys '20 Poster)
- Disaggregated storage (SAN) architectures — (NSDI '26)
News
- March 2025: I will join Meta@Seattle this summer as a PhD SDE Intern!
- May 2024: I will join TikTok@San Jose this summer as a research Intern, working on LLM system optimization!
- May 2023: I will join MSRA this summer as a research Intern, super honored to be mentored by Prof. Lili Qiu!
- September 2021: Excited to start my PhD at Madison!
Selected Publications
Services
Artifact Evaluation Committee (AEC)
SIGCOMM 2022, OSDI/ATC 2022
Personal
I enjoy playing basketball and traveling. I have a lovely cat named Tudou!
I am a fan of Shanghai Shenhua. (Go blue!)