Fangcheng Fu
Scholar

Fangcheng Fu

Google Scholar ID: vFYm_QEAAAAJ
Shanghai Jiao Tong University
machine learningdeep learningMLSysdistributed computation
Citations & Impact
All-time
Citations
1,397
 
H-index
15
 
i10-index
22
 
Publications
20
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • Published more than 40 papers in top academic conferences and journals such as SIGMOD, VLDB, SOSP, ASPLOS, ICML, NeurIPS, and TKDE; received 9 national invention patents; selected for the China Postdoctoral Innovative Talent Support Program (Boxin Plan); awarded the ACM China Doctoral Dissertation Award (National Award), Leading Science and Technology Award at the World Internet Conference, Top 100 Open Source Achievements Award by the International Test Committee, and the Machine Heart 'AI China' Annual Top Ten Open Source Events.
Research Experience
  • Was a Boya Postdoctoral Researcher at the School of Computer Science, Peking University; designer and/or program committee (PMC) member for several system projects, including Hetu, PowerFL, and Angel.
Education
  • Received Bachelor's and Ph.D. degrees in computer science from Peking University in 2018 and 2023, respectively, supervised by Prof. Bin Cui.
Background
  • Tenure-track Associate Professor at the School of Artificial Intelligence, Shanghai Jiao Tong University. Research interests include distributed machine/deep learning algorithms and systems, as well as big data processing and analytic systems.
Miscellany
  • Actively looking for self-motivated and self-disciplined PhD students (Class 2027), MS students (Class 2026 and 2027), (remote) interns, and postdocs.