研究方向
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.
承担项目
• 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
学术交流
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"
