1. Personal & Academic Information
Xiaojun Wu is a leading expert in pattern recognition and artificial intelligence, widely published with 400+ academic papers and 5 books. He has been recognized internationally for his work and holds multiple fellowships in professional societies.
2. Education
B.Sc. in Mathematics, Nanjing Normal University, China (1991).
M.S. in Pattern Recognition and Intelligent Systems, Nanjing University of Science and Technology, China (1996).
Ph.D. in Pattern Recognition and Intelligent Systems, Nanjing University of Science and Technology, China (2002).
3. Professional Positions
Distinguished Professor & Dean, Graduate School, School of AI & CS, Jiangnan University (current).
Director, Sino-UK Joint Laboratory on AI.
Director, Jiangsu Provincial Engineering Laboratory of Pattern Recognition & Computational Intelligence.
Former faculty member at School of Electronics & Information, Jiangsu University of Science and Technology before joining Jiangnan University (2006).
4. Research Interests
Professor Wu’s research focuses on:
Pattern Recognition Theory & Technology
Computational Intelligence & Machine Learning
Computer Vision
Information Fusion
5. Honors & Leadership
IAPR Fellow (International Association for Pattern Recognition), 2022 — one of ~21 worldwide selected in his class.
Fellow, Asia-Pacific AI Association (AAIA) and Artificial Intelligence Industry Alliance (AIIA).
NAAI Corresponding Member.
National and Provincial Distinctions: New Century Excellent Talents (Ministry of Education, China), Jiangsu Province “333 Engineering” Leading Talent.
Editorial roles in multiple international journals; committee member of IEEE Smart City Steering Committee and others.
6. Scholarly Output
400+ research papers in top journals and conferences (e.g., TPAMI, IJCV, TIP, CVPR, ICCV, NIPS).
5 books, including at least one English monograph (CRC Press).
Google Scholar citations exceed 20,000+.