Di Wu (吴迪)
Scholar

Di Wu (吴迪)

Google Scholar ID: SqlD6Z0AAAAJ
Southwest University, China
Big DataData MiningRecommender SystemsEnvironmental Protection
Citations & Impact
All-time
Citations
3,702
 
H-index
31
 
i10-index
62
 
Publications
20
 
Co-authors
6
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published multiple high-impact papers in conferences and journals such as AAAI 2024, IEEE TNNLS, IEEE TSC, ACM TOIS, IEEE TKDE, Information Sciences, IEEE TETC, ECML-PKDD, IEEE TCE, IEEE SMC, etc. Published a monograph titled 'Robust Latent Feature Learning for Incomplete Big Data' by Springer. Received the 'Nomination Award for Excellent Doctoral Dissertation of Wu Wenjun Artificial Intelligence' from the Chinese Association for Artificial Intelligence (CAAI).
Research Experience
  • Currently working as a Professor at the College of Computer and Information Science, Southwest University.
Education
  • Ph.D. in Computer Science from Chongqing Institute of Green and Intelligent Technology (CIGIT), Chinese Academy of Sciences (CAS), Chongqing, China in 2019; Visiting scholar at the University of Louisiana, Lafayette, USA from April 2018 to April 2019.
Background
  • Research interests include Big Data Analysis, Incomplete Data Analysis, Recommender Systems, Hash Learning, Semi-supervised Classification, and Environmental Protection. Currently working as a Professor at the College of Computer and Information Science, Southwest University, with over 70 published papers in top journals and conferences such as TKDE, TNNLS, TSC, TSMC, TII, ICDM, WWW, IJCAI, etc. Google Scholar citations exceed 2300, H-Index 26.
Miscellany
  • Serving as an Associate Editor for Neurocomputing and Frontiers in Neurorobotics, and a member of IEEE.