Prof. Chang-Dong Wang
Scholar

Prof. Chang-Dong Wang

Google Scholar ID: omqnB70AAAAJ
IEEE Senior Member, Sun Yat-sen University
Data MiningMachine Learning
Citations & Impact
All-time
Citations
8,135
 
H-index
48
 
i10-index
136
 
Publications
20
 
Co-authors
67
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • He has led nearly 20 projects, including the Guangdong Natural Science Fund - Outstanding Young Scientist Fund, Guangdong Natural Science Fund - Key Project, and National Natural Science Foundation - General Project. His research achievements have won the First and Second Prizes of the Guangdong Natural Science Award. He has mentored doctoral students who were selected for the first batch of the China Association for Science and Technology's Youth Talent Support Program, and master's students who won the Excellent Master's Thesis Award from the Chinese Institute of Electronics.
Research Experience
  • Since 2013, he has been working as a lecturer, associate professor, and professor at the School of Computer Science, Sun Yat-sen University. He was also a joint PhD student in Computer Science at the University of Illinois (the first batch of elite students sent abroad by Guangzhou).
Education
  • 2004-2013, Bachelor's in Applied Mathematics and Master's/PhD in Computer Science, Sun Yat-sen University.
Background
  • Professor at the School of Computer Science, Sun Yat-sen University, doctoral supervisor, and deputy director of the Guangdong Provincial Key Laboratory of Big Data Analysis and Processing. His research focuses on AI for Science (especially AI for Medical Research and Applications). In the past five years, he has published over 100 papers in Nature sub-journals, IEEE Trans series journals, or CCF A-class conferences, including 9 ESI highly cited papers. He has over 9500 Google citations with an H-index of 50.
Miscellany
  • Due to the development needs of his team, he is currently recruiting researchers in AI for Medical Research (including specially appointed (associate) researchers and postdocs), as well as interested undergraduate, master's, and doctoral students.