CV

Education

• B.CS., School of Computer Science and Technology, Harbin Institute of Technology, 2011.09-2015.06 (GPA: 93.43/100, ranking 1/169)
• Ph.D., Department of Computing, The Hong Kong Polytechnic University, 2015.09 - 2020.03

Work experience

• 2020.06 - Now: Postdoctoral Fellow
  • School of Data Science, The Chinese University of Hong Kong, Shenzhen
  • Supervisor: Professor David Zhang

Skills

• Pytorch + CUDA
• C++, Python, Matlab
• Learned image compression
  • Model Design
  • Optimization and Deployment
• Facial attribute editting

Publications

• Mu Li, Wangmeng Zuo, Shuhang Gu, Jane You, David Zhang. “Learning Content-Weighted Deep Image Compression.” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020. (JCR Q1, IF: 17.861)
• Mu Li, Kede Ma, Jane You, David Zhang, Wangmeng Zuo. “Efficient and Effective Context-Based Convolutional Entropy Modelling for Image Compression.” IEEE Transactions on Image Processing (TIP), 2020. (JCR Q1, IF: 10.856)
• Mu Li, Kai Zhang, Jinxing Li, Radu Timofte, Wangmeng Zuo, and David Zhang. “Learning Context-Based Non-local Entropy Modeling for Image Compression.” IEEE Transactions on Neural Networks and Learning System (TNNLS), 2021. (JCR Q1, IF:10.451)
• Mu Li, Wangmeng Zuo, Shuhang Gu, Debin Zhao, David Zhang, “Learning convolutional networks for content-weighted image compression”. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. (Top Conference, CCF A, Citation 246)
• Mu Li, Qilong Wang, David Zhang, Peihua Li, Wangmeng Zuo. “Joint distance and similarity measure learning based on triplet-based constraints”. Information Sciences, 2017. (JCR Q1, IF: 6.795)
• Mu Li, Wangmeng Zuo, David Zhang. “Deep identity-aware transfer of facial attributes”. arXiv preprint arXiv:1610.05586, 2016. (Citation 121)
• Zhaoyi Yan, Xiaoming Li, Mu Li, Wangmeng Zuo, Shiguang Shan. “Shift-Net: Image Inpainting via Deep Feature Rearrangement”. In Proceedings of the European Conference on Computer Vision (ECCV), 2018. (Top Conference, CCF B, Citation 216)
• Jinxing Li, Mu Li(Corresponding Author)*, Guangming Lu, Bob Zhang, Hongpeng Yin, and David Zhang. “Similarity and diversity induced paired projection for cross-modal retrieval.” Information Sciences, 2020. (JCR Q1, IF: 6.795)

Service

• Conference Reviewer:
  • AAAI Conference on Artificial Intelligence (AAAI) 2019
  • International Conference in Computer Vision (ICCV 2019)
  • The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020)
  • The 2020 European Conference on Computer Vision (ECCV 2020)
  • The 30th International Joint Conference on Artificial Intelligence (IJCAI-21)
  • The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021)
  • International Conference in Computer Vision (ICCV 2021)
• Journal Reviewer:
  • IEEE Transactions on Image Processing (TIP)
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

Honors and Rewarding

• Overseas High-Caliber Personnel 海外高层次人才“孔雀计划” (Level C), 2020-2024
• Shenlong High-level Talent 深龙英才计划 (Category C), 2021-2025
• Hong Kong PhD Fellowship, 2015-2019
• National Scholarship, 2013-2014
• Fuji Xerox Scholarship, 2012-2013
• National Scholarship, 2011-2012