Hui Li
Scholar

Hui Li

Google Scholar ID: RHoDfoEAAAAJ
Professor, School of Computer Science and Technology, Xidian University
DatabaseData MiningSocial NetworkData Security and Privacy
Citations & Impact
All-time
Citations
5,693
 
H-index
37
 
i10-index
171
 
Publications
20
 
Co-authors
12
list available
Resume (English only)
Academic Achievements
  • Many of his papers appear in major international conferences including VLDB, SIGMOD, KDD, and journals like TKDE, VLDB J., TDSC, etc. He has been nominated for the Best Paper Award in ACM SIGMOD 2015! Recent works include:
  • - Privacy-preserving CNN
  • - Semantic Cache for Time-series Database
  • - Database Performance Testing
  • - Cross-store transactional processing
  • - Privacy-preserving kNN query processing
  • - Database Fuzz Testing
  • - GPU-native Point-in-Polygon query processing
  • - Lightweight time-series prediction over edge devices
  • - Movement-aware Location Selection (MALOS)
  • - Sequence mining
  • - Employing LANTERN within in-class database education
  • - Distributed hash join
  • - Online migration in distributed database
  • - Encrypted database EncDB
  • - Tutorial on Computational social science PAELLA
  • - Adaptive query execution engine Quartet
  • - CoSTUR: Spatial-textual competitive location selection
  • - Privacy-preserving star-join query processing
  • - Database education system ARENA
Research Experience
  • He used to be a member of Centre of Advanced Information Systems (renamed as DISCO now) during 2007 to 2011. Currently, he is a professor at the School of Computer Science and Technology, Xidian University, and the director of The Key Laboratory of Advanced Database Technology of Xi'an.
Education
  • He obtained his B.Eng from Harbin Institute of Technology in 2005 and Ph.D. from Nanyang Technological University in 2012, under the supervision of Associate Prof. Sourav S. Bhowmick.
Background
  • His research interests include database, data mining, data privacy and security, social computing, knowledge discovery, graph mining, and data privacy in big data.