Outstanding graduates are invited to apply for full PhD Studentships within the Research Institute. For further details, please click Here

Wei Gao (高伟)

  • Wei Gao, Assistant Professor, Research Institute for Future Media Computing
  • Expertise: Image and Video Coding; Visual Perception Analysis; Multimedia Signal Processing; Machine Learning and Optimization; VLSI
  • Contact Details:

Work and Research Experience

  • 2017 - To date: Assistant Professor, Research Institute for Future Media Computing, Shenzhen University, China
  • 2017 - 2017: Research Fellow, Nanyang Technological University (NTU), Singapore
  • 2017 - 2017: Postdoc Fellow, City University of Hong Kong, Kowloon, Hong Kong
  • 2016 - 2016: Visiting Scholar, Unversity of California, Los Angeles (UCLA), CA, USA
  • 2013 - 2016: PhD, City University of Hong Kong, Kowloon, Hong Kong
  • 2012 - 2013: Camera ISP Engineer, OmniVision Technologies, Shanghai, China
  • 2009 - 2012: Master, Huazhong University of Science and Technology, Wuhan, China
  • 2005 - 2009: Bachelor, Wuhan University of Technology, Wuhan, China

Journal Publications

  • Wei Gao, Sam Kwong, and Yuheng Jia, “Joint Machine Learning and Game Theory Modeling for Rate Control Optimization in HEVC with Iterative Solution Search”, IEEE Transactions on Image Processing (TIP), vol. 26, no. 12, pp. 6074-6089, Dec. 2017.
  • Wei Gao, Sam Kwong, Hui Yuan, and Xu Wang, “DCT Coefficient Distribution Modeling and Quality Dependency Analysis Based Frame-level Bit Allocation for HEVC”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 26, no. 1, pp. 139-153, Jan. 2016.
  • Wei Gao, Sam Kwong, Yu Zhou, and Hui Yuan, “SSIM-Based Game Theory Approach for Rate-Distortion Optimized Intra Frame CTU-level Bit Allocation”, IEEE Transactions on Multimedia (TMM), vol. 18, no. 6, pp. 988-999, June 2016.
  • Wei Gao, Sam Kwong, and Hongshi Sang, “Low-cost Memory Data Scheduling Method for Reconfigurable FFT Bit-reversal Circuits”, Electronics Letters (EL), vol. 51, no. 3, pp. 217-219, 2015.
  • Yuheng Jia, Sam Kwong, Wenhui Wu, Ran Wang, and Wei Gao, “Sparse Bayesian Learning Based Kernel Poisson Regression”, accepted by IEEE Transactions on Cybernetics (TC), 2017.
  • Hui Yuan, Sam Kwong, Xu Wang, Wei Gao, and Yun Zhang, “Rate Distortion Optimized Inter View Frame Level Bit Allocation Method for MV-HEVC”, IEEE Transactions on Multimedia (TMM), vol. 17, no. 12, pp. 2134-2146, Dec. 2015.
  • Yu Zhou, Sam Kwong, Wei Gao, and Xu Wang, “A Phase Congruency Based Patch Evaluator for Complexity Reduction in Multi-dictionary Based Single-image Superresolution Reconstruction”, Information Sciences (INS), vol. 367-368, pp. 337-353, Nov. 2016.
  • Yu Zhou, Sam Kwong, Hainan Guo, Wei Gao, Xu Wang, “Bi-level Optimization of Block Compressive Sensing with Perceptually Nonlocal Similarity”, Information Sciences (INS), vol. 360, pp. 1-20, Sept. 2016.

Conference Publications

  • Wei Gao, Sam Kwong, “Phase Congruency Based Edge Saliency Detection and Rate Control for Perceptual Image and Video Coding”, IEEE International Conference on Systems, Man, and Cybernetics (SMC), Budapest, Hungary, Oct. 2016.
  • Wei Gao, Sam Kwong, Yu Zhou, Yuheng Jia, Jia Zhang, Wenhui Wu, “Multiscale Phase Congruency Analysis for Image Edge Visual Saliency Detection”, International Conference on Machine Learning and Cybernetics (ICMLC), Jeju, South Korea, July 2016.
  • Wei Gao, Sam Kwong, Yu Zhou, and Xu Wang, “Phase Congruency Analysis of Down-sampled and Blurring Images for Foreground Extraction,” International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR), Guangzhou, China, July 2015.
  • Yuheng Jia, Sam Kwong, Wenhui Wu, Wei Gao, Ran Wang, “Generalized Relevance Vector Machine”, Intelligent Systems Conference (IntelliSys), London, UK, Sept. 2017.
  • Xu Wang, Sam Kwong, Wei Gao, Yu Zhou, Hui Yuan, Yun Zhang, “Smooth View Quality Oriented Bit Allocation Optimization for 3D Video Coding,” IEEE International Conference on Systems, Man, and Cybernetics (SMC), Hong Kong, Oct. 2015.
  • Yu Zhou, Sam Kwong, Wei Gao, Xiao Zhang, and Xu Wang, “Complexity Reduction in Multi-dictionary Based Single-Image Superresolution Reconstruction via Phase Congruency”, International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR), Guangzhou, China, July 2015.

<< Go Back

US and China Patents

  • Wei Gao, Sam Kwong, “Systems and Methods for Rate Control in Video Coding using Joint Machine Learning and Game Theory”, United States Patent, Application No. 15/352,222, PWG/PA/496/8/2016 (US).
  • Hongshi Sang, Wei Gao*, “A Memory Data Scheduling Method and Circuit for FFT Data Reordering,” China Invention Patent, CN201110231430.0.

Research Institute for Future Media Computing,Shenzhen University 2014 - 2018