Dawei Cheng
Scholar

Dawei Cheng

Google Scholar ID: 4UD20ukAAAAJ
Tongji University
Data MiningGraph LearningDeep LearningBig Data in Finance
Citations & Impact
All-time
Citations
3,311
 
H-index
29
 
i10-index
50
 
Publications
20
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • Elected as World's Top 2% Scientists by Stanford University and Elsevier
  • Awarded First Prize of Wu Wenjun Artificial Intelligence Science and Technology Progress Award (Second Contributor) by CAAI
  • Received Gold Medal of Shanghai Outstanding Invention Selection Competition
  • Selected into Shanghai Youth Top Talent Program
  • Principal Investigator of NSFC Young Scientists Fund (Class B): Graph Data Learning
  • Principal Investigator of NSFC Project: Simulation of Risk Contagion with Generative Graph Learning (4-year duration)
  • Published multiple papers in top-tier venues including TKDE, TNNLS, WWW, ICML, ICLR, NeurIPS, AAAI, IJCAI, KDD, ACL, ICDE, CIKM, and SIGKDD, many as corresponding or co-corresponding author
  • Best Reviewer Award, KDD 2025
  • Delivered a tutorial on AIGC for Graphs at ICDE 2025
  • Deputy Secretary-General of CCF Digital Finance Chapter
  • Regularly serves as AC/SPC/PC for major conferences (ICML, ICLR, NeurIPS, KDD, ACL, ICDE, AAAI, IJCAI, etc.)
  • Serves as AE/Reviewer for journals including TKDE, TPAMI, TNNLS, TKDD, PR, FCS
  • Released open-source projects: Interbank risk rating system and Antifraud detection framework
Background
  • Currently an Associate Professor at the School of Computer Science and Technology, Tongji University
  • Serves as Dean Assistant of the Collaborative Innovation Center of Internet Finance Safety
  • Guest Ph.D. Supervisor at the University of Technology Sydney, Australia
  • Specializes in data mining, machine learning, deep learning, and reinforcement learning
  • Main research focus: graph learning, big data in finance, deep learning on complex graphs, generative AI, and large-scale graph analysis