Scholar
Shu Wu (吴书)
Google Scholar ID: qVge6YYAAAAJ
Professor, Institute of Automation, Chinese Academy of Sciences
Citations & Impact
Citations
14,137
H-index
44
i10-index
95
Publications
20
Co-authors
38
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- First Prize of Beijing Natural Science Award (2/4); Second Prize of Military Science and Technology Progress Award; Editor of ACM TORS/AIR/FCS; Distinguished Member of CCF/Senior Member of IEEE/ACM; Director of the Joint Laboratory of the Institute of Automation, CAS and JD Technology; Mentored multiple PhD, Master's, and undergraduate students, and served as Area Chair or Senior PC in several international conferences
Research Experience
- 2024-09~Present, CAS Pilot Project Chemical Engineering Squad, Captain; 2024-10~Present, University of Chinese Academy of Sciences, School of Artificial Intelligence, Mentor; 2024-10~Present, University of Chinese Academy of Sciences, Interdisciplinary Frontier College, Mentor; 2022-12~Present, University of Chinese Academy of Sciences, Future Technology College, Mentor; 2022-10~Present, Institute of Automation, Chinese Academy of Sciences, National Key Laboratory of Multimodal Artificial Intelligence Systems, CAS Distinguished Research Position; 2024-10~Present, Institute of Automation, Chinese Academy of Sciences, National Key Laboratory of Multimodal Artificial Intelligence Systems, Researcher; 2016-10~2024-10, Institute of Automation, Chinese Academy of Sciences, State Key Laboratory of Pattern Recognition, Associate Researcher; 2012-09~2016-10, Institute of Automation, Chinese Academy of Sciences, State Key Laboratory of Pattern Recognition, Assistant Researcher
Education
- 2007-09~2012-07, Université de Sherbrooke, Canada, Computer Science, PhD; 2004-09~2007-07, Xiamen University, Computer Application Technology, Master; 2000-09~2004-07, Hunan University, Computer Science and Technology, Bachelor
Background
- Research interests include structural data mining, machine learning, and large models. Advocates for a free and open academic atmosphere, encouraging free discussion, sharing of inspiration, and bold exploration.
Miscellany
- Seeking talented and enthusiastic students to undertake forward-looking projects with long-term value and altruistic spirit, aiming to create world-class research results or innovative applications.
