About

Fangcheng Fu is currently a Boya Postdoctoral Researcher at the School of CS, Peking University, and a recipient of the China National Postdoctoral Program for Innovative Talent. Before that, he received his Bachelor's and Ph.D. degrees in computer science from Peking University in 2018 and 2023, respectively, supervised by Prof. Bin Cui. Besides, he has accumulated for more than 4 years of industrial internship experience in Tencent Inc.

Fangcheng has broad interests in distributed machine/deep learning algorithms and systems as well as big data processing and analytic systems. He has published more than 30 papers in top academic conferences and journals such as SIGMOD, VLDB, SOSP, ASPLOS, ICML, NeurIPS, and TKDE. He is the designer and/or program committee (PMC) member for several system projects, including Hetu, PowerFL, and Angel. His works in these system projects have been featured in several billion- or even trillion-scale machine/deep learning applications in industries.

I will be joining the School of Artificial Intelligence, Shanghai Jiao Tong University as a tenure-track Associate Professor this summer. I am actively looking for self-motivated and self-disciplined students (with opening‌ positions for PhD/Master students). Feel free to send me an e-mail (ccchengff [AT] gmail [DOT] com) if you are interested.

Research

My research generally focuses on how to make machine learning (ML) and artificial intelligence (AI) more reachable and practical through advanced machine learning system (MLSys) techniques. Particularly, my research falls into two directions.

• Developing efficient and robust distributed machine/deep learning systems to bring down the cost of large-scale models (e.g., LLM, AIGC) training and inference.
• Building high-performance and privacy-preserving data processing and analytic systems, aiming to process large-scale data efficiently and securely.

News

🎉 Feb 2025   One paper accepted to MLSys 2025
🎉 Feb 2025   Two papers accepted to SIGMOD 2025
🎉 Jan 2025   Two papers accepted to ASPLOS 2025
🎉 Jan 2025   One paper accepted to ICLR 2025
🏆 Dec 2024   Honored to be awarded the 2024 ACM China Doctoral Dissertation Award (Top 2 in China)
🎉 Nov 2024   One paper accepted to SIGMOD 2025
🏆 Sep 2024   Honored to be awarded the 2024 ACM SIGMOD China Doctoral Dissertation Award
🎉 Sep 2024   Two papers accepted to NeurIPS 2024
🏆 Aug 2024   Honored to be awarded the Best Paper Award in NDBC 2024
🎉 Aug 2024   One paper accepted to SOSP 2024
👏 Aug 2024   My first personal website online!