Chuanxing Geng
Scholar

Chuanxing Geng

Google Scholar ID: thqYKQIAAAAJ
Nanjing University of Aeronautics and Astronautics
Machine LearningPattern Recognition
Citations & Impact
All-time
Citations
1,380
 
H-index
9
 
i10-index
8
 
Publications
20
 
Co-authors
3
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Published over 20 papers in prestigious international journals and conferences such as IEEE TPAMI, TKDE, TIP, TNNLS, IJCAI, AAAI, NeurIPS. Google Scholar citations exceed 1300. Awarded the Excellent Doctoral Dissertation of Jiangsu Province in 2022; Hong Kong Scholar Award in 2023; Outstanding Academic Achievement Paper Award of Jiangsu Natural Science in 2024; Second Prize of Jiangsu Science and Technology in 2024. Principal investigator of projects funded by the National Natural Science Foundation of China (General and Youth Programs) and the Jiangsu Natural Science Youth Fund.
Research Experience
  • 2023.6-Present Associate Researcher, School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics
  • 2023.12-Present Hong Kong Scholar, Department of Computer Science and Technology, Hong Kong Baptist University
  • 2020.10-2023.9 Postdoctoral Fellow, School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics
Education
  • 2016.9-2020.9 Nanjing University of Aeronautics and Astronautics, Computer Science and Technology, Doctor of Engineering, Advisor: Prof. Songcan Chen (IAPR, CAAI Fellow)
Background
  • Associate Researcher, Hong Kong Scholar (2023), Jiangsu Young Talent (2024), NUAA 'Sky Star' (2024), CCF Senior Member, and a member of the top 100 research teams at NUAA. His research interests include machine learning and pattern recognition, focusing on robust classification/identification model construction and optimization in dynamic, open, and non-stationary scenarios.
Miscellany
  • Welcomes graduate students (Master's and Professional Master's in Computer Science and Technology, other directions for Professional Master's) and undergraduate students who are passionate about research in machine learning and pattern recognition. Can recommend outstanding students for further studies at universities like HKUST, HKBU, and SEU, and internships at companies like Huawei and Meituan, and supports participation in domestic and international academic exchanges.