Peng Wang
Scholar

Peng Wang

Google Scholar ID: vIr3ICQAAAAJ
Professor, University of Electronic Science and Technology of China
computer visiondeep learningmachine learning
Citations & Impact
All-time
Citations
4,682
 
H-index
29
 
i10-index
42
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published multiple papers in top-tier conferences and journals such as NeurIPS, UIST, ICCV, TPAMI, IJCV, etc. Served as an Area Chair for ACM Multimedia 2023 and received funding from the Australian Research Council for a project.
Research Experience
  • From July 2019 to April 2023, he was a lecturer (assistant professor) with the School of Computing and Information Technology at the University of Wollongong. Prior to joining UOW, he was a research fellow with the Australian Institute for Machine Learning (AIML), The University of Adelaide.
Education
  • He obtained his PhD from the School of Information Technology and Electrical Engineering, The University of Queensland.
Background
  • Peng Wang is a professor with the School of Computer Science and Engineering at the University of Electronic Science and Technology of China (UESTC). His research interests broadly span artificial intelligence, with current work focusing on the theory and applications of large foundation models, particularly multimodal reasoning in MLLMs, efficient post-training of LLMs, and their applications in the medical and healthcare domains.
Miscellany
  • Always seeking strong and highly motivated Master’s and PhD students, as well as Postdoctoral researchers. Also supervises undergraduate research projects. Interested candidates are encouraged to contact him via email.
Co-authors
0 total
Co-authors: 0 (list not available)