Personal profile
| I received the Ph.D. degree in Computer Science and Technology in 2014 from Sichuan University.I currently visit the Centre for Vision, Speech and Signal Processing (CVSSP) in University of Surrey,UK. My research interests include deep learning, biometrics and image processing. |
Work experience
| 2014.07 - present Associate Professor, School of Computer and Software Engineering, Xihua University |
Education experience
| Sept.2017 - August, 2018 Acadamic Visitor, University of Surrey, UK Sept. 2010 - June, 2014 PhD., Sichuan University, Chengdu, P.R. China, Computer science and technology Sept. 2007 - March, 2010 M.E., Shenyang Aerospace University, Shenyang, P.R. China, Pattern recognition & Intelligent System Sept. 2003 - July, 2007 B.E., Hainan University, Haikou, P.R. China, Electrical & Information Engineering |
Research Direction
Deep learning, Biometrics, Image processing |
Academic Achievements
[1]Huang Zengxi, Feng Zhen-Hua, Josef Kittler et al.Robust Pedestrian Detection for Semi-automatic Construction of A Crowded Person Re-Identification Dataset. 2018th Conference on Articulated Motion and Deformable Objects, Mallorca, Spain, July 12-13, 2018. [2]Huang Z, Liu Y, Li C et al.A robust face and ear based multimodal biometric system using sparse representation. Pattern Recognition, 2013, 46(8): 2156-2168. (SCI) [3]Huang Z, Liu Y et al. An adaptive bimodal recognition framework using sparse coding for face and ear. Pattern Recognition Letters, 2015, 53(53): 69-76. (SCI) [4]Huang Z, Liu Y, Wang X, Hu J. Study on sparse representation based classification for biometric verification. arXiv: 1502.06073v2 [cs.CV], 2015. [5]Yiguang Liu, Zengxi Huang, Liping Chen. Almost periodic solution of impulsive hopfield neural networks with finite distributed delays, Neural Computing & Applications, 2012, 21(5): 821-831 (SCI). [6]Shuangli Du, Yiguang Liu, Zengxi Huang et al. Coarse-to-fine outlier correction with applications in structure from motion. Signal Processing: Image Communication, 2015, 37: 34-46(SCI). [7]Huang Z, Liu Y et al. Frameworks for multimodal biometric using sparse coding, Lecture Notes in Computer Science, 2012, 7751: 433-440. |