Associate Professor of Computer Science and Technology

Phone: (+86) 027-87556601

Email: panpeng@hust.edu.cn

Academic Areas: Data Engineering

Research Interests:

Pan Peng is the Associate Professor of the school of Computer Science and Technology in Huazhong University of Science and Technology. His research work spans computer software and theory. He focuses on questions such as database concept and techniques, key technology of embedded mobile real-time database management system, semantic retrieval of massive multi-modal or cross-modal data, and some other new concrete issues about semantic processing on big data. He teaches undergraduate course “principles of database”, and he is also the course leader. Recently, he is leading the project “intelligent management of Massive Multi-structure Data”.​

Academic Degrees

PhD in Computer Software and Theory, 2007, School of Computer Science and Technology, Huazhong University of Science and Technology.

BA Computer Application, 1998, Huazhong University of Science and Technology.

Professional Experience

At School of Computer Science and Technology in Huazhong University of Science and Technology since 1998, Associate Professor (2008-present), Lecturer (2003-2008), Teaching assistant (1998-2003)​

Selected Publications

  • Improving cross-modal and multi-modal retrieval combining content and semantics similarities with probabilistic model: Journal of Multimedia Tools and Applications(MTAP),2013:1-24(published online)
  •  A Graph Model for Cross-modal Retrieval:3rd International Conference on Multimedia Technology (ICMT2013). Atlantis Press,1090-1097, 2013.
  • An Adaptive Multiclass Boosting Algorithm for Classification:Proceedings of IEEE International Joint Conference on Neural Networks (IJCNN),2014.
  •  A semantic model for cross-modal and multi-modal retrieval: Proceedings of the 3rd ACM conference on International conference on multimedia retrieval (ICMR 2013). 175-182, 2013
  • A Two-Phase Generation Model for Automatic Image Annotation: IEEE International Symposium on Multimedia (ISM 2013), 155-162,2013
  • Markov Random Field Based Fusion for Supervised and Semi-supervised Multi-modal Image Classification: Journal of Multimedia Tools and Application (MTAP), DOI: 10.1007/s11042-014-2018-y
  •  Analyzing Semantic Correlation for Cross-modal Retrieval: Journal of Multimedia Systems (MMSJ), DOI: 10.1007/s00530-014-0397-6
  • A Cross-modal Multi-task Learning Framework for Image Annotation,  The 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014), 431-440, 2014 

Working Papers

  • Multiclass Boosting Framework for Multimodal Data Analysis

  • Cross-Modal Self-Taught Learning for Image Retrieval

Awards and Honors

  • Course leader of database system
  • Tutor of excellent thesis for bachelor degree in Hubei Province.

Courses Taught

  • Principles of Database System

  • Modern Data Engineering

Project

  • Embedded Mobile Real-time Database Management System
  • Intelligent management of Massive Multi-structure Data
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