I am a first year Ph.D. student at the University of Central Florida, advised by Prof. Hao Zheng.

Before joining UCF, I completed my undergraduate education at both Sichuan University and the University of Wisconsin–Madison. I spent the first two years of my undergraduate studies at Sichuan University before transferring to UW–Madison. Through this academic path, I earned a B.S. in Computer Science from Sichuan University and a B.S. in Computer Sciences and Statistics from UW–Madison.

My research interests lie at the intersection of computer architecture, machine learning systems, and efficient computing. I am particularly interested in designing scalable and efficient systems for modern AI workloads, with an emphasis on hardware–software co-design, inference acceleration, and distributed and heterogeneous systems. My previous work explored real-time language model inference for live music accompaniment.

Outside of my academic pursuits, I am an avid fan of soccer, spending most of my free time playing and watching matches. I also enjoy a variety of indoor hobbies like reading, watching movies, and anime.

I am always happy to connect with researchers working on computer systems, architecture, and efficient AI. Feel free to get in touch!

Research Interest

My main research interest is focusing on MLSys:

• AI/ML Systems and Efficient Inference: Designing systems that improve the performance, scalability, and efficiency of modern machine learning workloads.
• Computer Architecture and Hardware–Software Co-design: Exploring architectures and system-level optimizations for emerging AI applications.
• Distributed and Heterogeneous Systems: Improving workload execution and resource utilization across diverse computing platforms.
• Real-Time Generative AI: Applying efficient system techniques to latency-sensitive applications such as music generation and multimodal models.