Xing Xiang Lei
Department: Faculty of Intelligent Science and Engineering
Discipline: Control Science and Engineering
Position:
Title: Associate Professor
Supervisor qualification: Doctoral supervisor
Master's Advisor
Phone: -
Fax:
Email: xingxl@hrbeu.edu.cn
Zip Code: 150001
Address: Building No. 61, 145 Nantong Street, Harbin
Personal profile
Harbin Engineering University pre-appointed professor, doctoral supervisor. He is a visiting researcher at UCLA, Nanjing University. His academic research interests include pattern recognition and computer vision, representational learning and generative models. In recent years, representative papers have been published in the top journals of artificial intelligence IEEE T-PAMI, Pattern Recognition and CVPR, ICML, AAAI represented by the top meetings. He won the first prize of Science and Technology Award (Natural Science category) in Heilongjiang Province as the first complete student. Won the excellent paper award of the Journal of Intelligent Systems. Presided over the "National Natural Science Foundation project", "Chinese Society for Artificial Intelligence - Huawei Academic Fund project" as the representative of more than 10 projects. He served as the young editorial board member of Journal of Intelligent Systems and Applied Science and Technology, and served as a senior reviewer for a variety of top international journals and conferences. I guided my graduate students to win the third prize in the International Gait Recognition Competition and the national third prize in the first Xingzhi Cup Artificial Intelligence Innovation Competition. I guided my undergraduate students to win the silver Award of the China International "Internet +" College Student Innovation and Entrepreneurship Competition, and the first prize of the National Finals of the National College Student Intelligent Car Competition.
My research involves pattern recognition and machine learning. I am interested in representation learning, unsupervised learning, generative model, multi-manifold learning, semi-supervised learning, sparse representation, multi-view learning, metric learning, transfer learning and deep learning. As practical application, I am interested in Biometric Recognition (face recognition, gait recognition), Image/Video Understanding and Analysis.
Educational experience
Ph.D. Nanjing University, Nanjing, China 06/2013
Dissertation: Manifold Learning and sparse representation with
their applications in pattern recognition
B.Sc. Nanjing University, Nanjing, China 06/2006
Electronic Science and Engineering
Work experience
Harbin Engineering University, Harbin, China
Lecturer: Pattern Recognition 03/2016 to 09/2018
Digital Image Processing
Associate Professor 09/2018 to present
Professor (Pre-employment) 01/2022 to present
University of California, Los Angeles, U.S.A.
09/2017 to 09/2019
Visiting Researcher
Harbin Engineering University, Harbin, China
03/2014 to 03/2016
Postdoctoral Researcher: Multi-view Gait Recognition,
Multi-view Metric learning
Research direction
My research involves pattern recognition and machine learning. I am interested in representation learning, unsupervised learning, generative model, multi-manifold learning, semi-supervised learning, sparse representation, multi-view learning, metric learning, transfer learning and deep learning. As practical application, I am interested in Biometric Recognition (face recognition, gait recognition), Image/Video Understanding and Analysis.
Undertake a project
• Natural Science Foundation of China (2020): Grand No. 62076078. "Inducing Interpretable Hierarchical-Compositional-Model by Latent Energy Field" (2021-2024), Leading the project
• Natural Science Foundation of China (2017): Grand No. 61703119. “Multi-view gait recognition using deep convolutional-Recurrent Neural Networks” (2018-2020), Leading the project
• Natural Science Foundation of Heilongjiang Province, China (2017): Grand No. QC2017070. “Human identification at a distance based on deep multi-view metric learning” (2018-2020), Leading the project
• Fundamental Research Funds for the Central Universities of China (2016): Grand No. HEUCF160415. “Research on deep multi-view distance metric learning”, Leading the project
• Postdoctoral Sustentation Fund of Heilongjiang Province of China (2014): Grand No. LBH-Z14051. “Multi-view gait recognition based on multi-view manifold learning” (2015-2016), Leading the project
• Natural Science Foundation of China (2015): Grand No. 61573114. “Multi-view gait recognition based on multi-view distance metric learning” (2016-2019), First cooperator
Academic exchange
1, Sep. 16, 2017-Sep.5, 2019, U.S.A., Visiting Scholar at University of California, Los Angeles.
2, June.16-20,2019, Long Beach, CA, USA, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, "Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network".
3. January 27–February 1, 2019, Honolulu, Hawaii, USA, Keynote Speaker of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) Workshop on Network Interpretability for Deep Learning,"Inducing Sparse Coding and And-Or Grammar from Generator Network"
4. Nov 08 - 11, 2018, Beijng, China. The 24th International Conference on Pattern Recognition (ICPR-2018), "Learning Multi-view Generator Network for Shared Representation"
5, July 1-5, 2013, Italy, Proc. 9th IEEE International Wireless Communications and Mobile Computing Conference (IWCMC 2013), "Distributed Optimal Cyclotomic Space-Time Coding for Full-Duplex Cooperative Relay Networks"
6, Nov. 29-Dec. 1, 2011, Auckland, Twenty-sixth International Conference on Image and Vision Computing New Zealand, "Gaussian Mixture Models via Direct Nonparametric Discriminant Analysis for Classification of High-Dimensional Data"
中文