Prof.Guoqing Wang | Industrial engineering Award | Best Researcher Award

Prof.Guoqing Wang,University of Electronic Science and Technology of China, China

Scopus

Education:

Ph.D. in Computer Science and Engineering (Sep. 2017 – Jan. 2021,Advisors: Dr. Changming Sun, Prof. Arcot Sowmya,Thesis: “Unbiased Representation Learning Networks for Single Rainy Image ,M.S. in Control Engineering (Sep. 2014 – Jul. 2017)

Research Interests:

• Machine Learning:
  • Self-/semi-/un- supervised learning and few-shot learning
  • Domain adaptation, meta-learning, and multi-task learning
  • Network interpretation and optimization

  Computer Vision:

  • Holistic image/video understanding, including classification, generation, restoration, salient object detection, semantic segmentation, depth estimation, etc.
  • Adversarial attack mitigation
  • Network compression, neural architecture search, and efficient network routing

Honors and Awards:

• National Natural Science Fund for Excellent Young Scientists Fund Program (Overseas)
• Dean’s Award for Outstanding PhD Theses
• Tecent Open Fund for Excellent Young Scholar
• ICCV Student Travel Grant
• UNSW Postgraduate Research Student Support (PRSS) Scholarship
• UNSW/CSIRO Postgraduate Scholarships
• Best Master Dissertation of Jiangsu Province (2022)

Publications:

1. • 1. Enhanced Context Encoding for Single Image Raindrop Removal
     • Authors: Guoqing Wang, Yang Yang*, Xing Xu, Jingjing Li, HengTao Shen
     • Published in: Science in China (Technological Sciences), 2021
     • [pdf]

     2. Attentive Feature Refinement Network for Single Rainy Image Restoration

     • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
     • Published in: IEEE Transactions on Image Processing, 2020
     • [pdf]

     3. Context-enhanced Representation Learning for Single Image De-Raining

     • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
     • Published in: International Journal of Computer Vision, 2020
     • [pdf]

     4. Cascaded Attention Guidance Network for Single Rainy Image Restoration

     • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
     • Published in: IEEE Transactions on Image Processing, 2020
     • [pdf]

     5. Multi-Scale Deep Representation Aggregation for Vein Recognition

     • Authors: Zaiyu Pan, Jun Wang*, Guoqing Wang, Jihong Zhu
     • Published in: IEEE Transactions on Information Forensics and Security, 2020
     • [pdf]

     6. Learning a Compact Vein Discrimination Model With GAN-erated Samples

     • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
     • Published in: IEEE Transactions on Information Forensics and Security, 2019
     • [pdf]

     7. Multi-Weighted Co-Occurrence Descriptor Encoding for Vein Recognition

     • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
     • Published in: IEEE Transactions on Information Forensics and Security, 2019
     • [pdf]

     8. Spatial Pyramid Pooling of Selective Convolutional Features for Vein Recognition

     • Authors: Jun Wang, Zaiyu Pan*, Guoqing Wang, Ming Li, Yulian Li
     • Published in: IEEE Access, 2018
     • [pdf]

     9. Minutiae Based Weighting Aggregation of Deep Convolutional Features for Vein Recognition

     • Authors: Jun Wang, Kai Yang, Zaiyu Pan*, Guoqing Wang, Ming Li, Yulian Li
     • Published in: IEEE Access, 2018
     • [pdf]

     10. Gender Attribute Mining with Hand Dorsa Vein Image Based on Unsupervised Sparse Feature Learning

     • Authors: Jun Wang, Guoqing Wang*, Zaiyu Pan
     • Published in: IEICE Transactions on Information and Systems, 2018