Guangwei Gao (高广谓)


Welcome to the Visual Information Perception Lab (VIPLab) !


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Guangwei Gao

Associate Professor
Institute of Advanced Technology
Nanjing University of posts and Telecommunications
#9, Wen Yuan Lu, Xianlin, Nanjing, China, 210046

E-mail: csgwgao@njupt.edu.cn or csggao@gmail.com
[Google Web] [Github Web] [Google Scholar] [DBLP]


Research Topics

    My research interests lie in machine learning, pattern recognition, and learning-based vision problems. Particularly, I'm interested in heterogeneous face recognition, face hallucination, lightweight image super-resolution,semantic segmentation, analysis and processing of cross-modality visual data.


Education

  • 09, 2005-07, 2009, School of Math and Computer Science and Engineering, Nanjing Normal University, B.S. in Information and Computation Science

  • 09, 2009-06, 2014, School of Computer Science and Engineering, Nanjing University of Science and Technology, Ph.D. in Pattern Recognition and Intelligence Systems, supervised by Prof. Jian Yang

  • 03, 2011-09, 2011, 02, 2013-08, 2013, Exchange Student, Depatment of Computing, The Hong Kong Polytechnic University, supervised by Prof. Lei Zhang


Work Experience

  • 11, 2014- 11, 2016, Postdoctoral Researcher, Nanjing University of posts and Telecommunications

  • 07, 2014-06, 2017, Assistant Professor, Institute of Advanced Technology, Nanjing University of posts and Telecommunications

  • 07, 2017-present, Associate Professor, Institute of Advanced Technology, Nanjing University of posts and Telecommunications


News

  • [02/2021] One co-authored paper "Graph regularized Bayesian tensor factorization based on Kronecker-Decomposable dictionary" was accepted by the journal of Computers and Electrical Engineering

  • [01/2021] One co-authored paper "Short-term load forecasting based on improved GEP and abnormal load recognition" was accepted by the journal of ACM Transactions on Internet Technology (CCF B)

  • [11/2020] Our paper "Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition" was accepted by the journal of IEEE Transactions on Circuits and Systems for Video Technology (CCF B)

  • [10/2020] Our special session titled "Advanced Representation Learning for Robust Multimedia Image Understanding" got accepted at ICME 2021, with Prof. Junjun Jiang, Prof. Licheng Liu, Prof. Tao Lu, and Prof. Jingang Shi

  • [09/2020] One co-authored paper "Adaptive Deformable Convolutional Network" was accepted by the journal of Neurocomputing

  • [09/2020] One co-authored paper "Chinese Image Captioning via Fuzzy Attention-based DenseNet-BiLSTM" was accepted by the journal of ACM Transaction on Multimedia Computing Communication and Applications (CCF B)

  • [08/2020] Our paper "Robust Facial Image Super-Resolution by Kernel Locality-Constrained Coupled-Layer Regression" was accepted by the journal of ACM Transactions on Internet Technology (CCF B)

  • [08/2020] Our paper "Cross-resolution face recognition with pose variations via multilayer locality-constrained structural orthogonal procrustes regression" was accepted by the journal of Information Sciences (CCF B)

  • [07/2020] Our paper "Constructing multilayer locality-constrained matrix regression framework for noise robust face super-resolution" was accepted by the journal of Pattern Recognition (CCF B)

  • [02/2020] Our paper "Multi-scale patch based representation feature learning for low-resolution face recognition" was accepted by the journal of Applied Soft Computing


Sponsors

NSFC JSED CPSF NJUPT kxjst