I am a first-year CS PhD student at the Georgia Institute of Technology, advised by Prof. Tushar Krishna. Previously I received my Bachelor of Engineering in Electrical Engineering at Fudan University. During my undergrad, I also worked closely with Prof. Frank Kschischang at the University of Toronto. My research interests lie at the intersection of computer architecture/systems and machine learning, with a focus on accelerating machine learning workloads through a variety of approaches, including algorithmic optimization, hardware-software co-design, and distributed methods. I am particularly passionate about tackling real-world challenges in this space.

🔥 News

• 2025.08:  🎉🎉 Started my PhD study at the Georgia Institute of Technology.
• 2023.11:  🎉🎉 Awarded Huatai Securities Technology Scholarship at Fudan University.
• 2023.09:  🎉🎉 Started my exchange study at the University of Toronto.

📝 Publications & Manuscripts

• MixGCN: Scalable GCN Training by Mixture of Parallelism and Mixture of Accelerators, Under Submission
• TraceCraft - Generating Synthetic Execution Traces for Collaborative Optimization, Under Submission
• Implementing Soft-Decision Decoding Algorithms for Staircase Codes, Outstanding Undergrad Thesis at Fudan University

🎖 Honors and Awards

• 2022-2023 Huatai Securities Technology Scholarship at Fudan University (the First Prize, top3%)
• 2018 First Prize of Chinese Mathematical Olympiad in Senior
• 2018 First Prize of National Olympiad in Informatics in Provinces

📖 Educations

• 2025.08 - Present, Georgia Institute of Technology
• 2020.09 - 2025.06, Fudan University
• 2023.09 - 2023.12, University of Toronto