Short Bio

My name is Min Jiang, I got Ph.D. degree in Electrical Engineering with West Virginia University, advised by Dr. Guodong Guo. My research interests include machine learning, computer vision, pattern recognition, visual BMI estimation, face recognition, statistical modeling.

LinkedIn Profile

News

  • Working as a software Engineer@KLA! - July 2020

  • Paper "Visual BMI estimation from face images using a label distribution based method" is accepted by Computer Vision and Image Understanding. - May 2020

  • Paper "A Computational Approach to Body Mass Index Estimation from Dressed People in 3D Space" is published by IET Image Processing. - Feburary 2020

  • Successfully Defended My PhD dissertation! - January 2020

  • Paper "Discriminative Common Feature Subspace Learning for Age-invariant Face Recognition" is published by IET Biometrics. - December 2019

  • Paper "DM-free Curvelet based Denoising for Astronomical Single Pulses Detection" is published by IEEE Access. - Auguest 2019

  • Paper "On visual BMI analysis from Facial Images" is published by Image and Vision Computing. - July 2019

  • Passed PhD Candidate Exam! - May 2019

  • Paper "Joint Transformation Learning via L2,1-Norm Metric for Robust Graph Matching" is published by IEEE Transactions on Cybernetics. - April 2019

  • Paper "Body Weight Analysis from Human Body Images" is published by IEEE Transactions on Information Forensics and Security . - March 2019

  • Our team is Rank 3rd of UnConstraint College Student (UCCS) Face detection Challenge on 2017 IEEE International Joint Conference on Biometrics (IJCB). - June 2017

Education

  • Ph.D. in Electrical Engineering, West Virginia University - Morgantown, USA

  • M.S in Electrical Engineering, China University of Mining and Technology - Beijing, China

  • B.S in Electrical Engineering, China University of Mining and Technology - Beijing, China

Professional Acitivities

  • Reviewer for IEEE Transactions on Cybernetics, IET Computer Vision, IET Image Processing, IET Biometrics, IEEE Access.