Juncheng Li (李俊诚) Postdoctoral Fellow Center for Mathematical Artificial Intelligence (CMAI), Department of Mathematics, The Chinese University of Hong Kong, G07, Lady Shaw Building, CUHK, Shatin, N.T., Hong Kong. Email: cvjunchengli[at]gmail.com & junchengli[at]math.cuhk.edu.hk Success is not final, failure is not fatal, it is the courage to continue that counts.--Churchill

Biography

Dr. Juncheng Li is a Postdoctoral Fellow at the Center for Mathematical Artificial Intelligence, The Chinese University of Hong Kong, co-advised by Prof. ZENG Tieyong and Prof. Ronald Lok Ming LUI. He received the Ph.D. from the School of Computer Science and Technology, East China Normal University (ECNU), China, in 2021, co-advised by Prof. Guixu Zhang and Prof. Faming Fang. His research interests include artificial intelligence and its applications to computer vision (e.g., image stitching, image segmentation, and crowd counting) and image processing (e.g., image super-resolution, image denoising, image dehazing, and medical image reconstruction). He has published around 20 papers in prestigious journals and conferences such as IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Image Processing (TIP), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), IEEE Transactions on Multimedia (TMM), Pattern Recognition (PR), European Conference on Computer Vision (ECCV), and International Conference on Computer Vision (ICCV). He received several premium awards including the Outstanding PhD Graduates in Shanghai 2021, CUHK Research Fellowship Scheme 2021, the Winner of ICCV-AIM 2019 (Example-based RAW to RGB Mapping Challenge), etc.

News

2018-Present, 19 Papers

Honors & Awards

2016-Present (Graduate Period)

2012-2016 (Undergraduate Period)

Research Experience

• The Chinese University of Hong Kong, Hong Kong.
  2021.07.05--Now
  
  Postdoctoral Fellow
  Topic: Image resolution and medical image reconstruction
  Supervisor: Prof. ZENG Tieyong and Prof. Ronald Lok Ming LUI
  
• Shenzhen University, Shenzhen.
  2020.12.11--2021.01.30
  
  Research Assistant (RA)
  Topic: Medical Image Segmentation & Research on Uncertainty in Deep Learning
  Supervisor: Prof. Xizhao Wang (IEEE Fellow, CAAI Fellow, JMLC Editor-in-Chief)
  
• The Chinese University of Hong Kong, Hong Kong.
  2019.08.16--2019.09.30
  
  Research Assistant (RA)
  Topic: Image Compression
  Supervisor: Prof. ZENG Tieyong (Director of CMAI)
  
• The Chinese University of Hong Kong, Hong Kong.
  2018.05.10--2018.09.10
  
  Research Assistant (RA)
  Topic: Image Restoration
  Supervisor: Prof. ZENG Tieyong (Director of CMAI)
  

Selected Publications [Total Citations: 538] [Highest Citation: 303]

Preprint Papers

	Efficient Transformer for Single Image Super-Resolution Zhisheng Lu, Hong Liu, Juncheng Li, and Linlin Zhang. arXiv 2108.11084, 2021. The first Transformer-based lightweight SISR model. [Paper]
	From Beginner to Master: A Survey for Deep Learning-based Single-Image Super-Resolution Juncheng Li, Zehua Pei, and Tieyong Zeng. arXiv 2109.14335, 2021. [Paper] [Homepage]

Journal Papers

	MDCN: Multi-scale Dense Cross Network for Image Super-Resolution Juncheng Li, Faming Fang, Jiaqian Li, Kangfu Mei, and Guixu Zhang. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2020. Improved version of MSRN. SCI-2. [Paper] [Code] [Homepage]
	Soft-edge Assisted Network for Single Image Super-Resolution Faming Fang, Juncheng Li*, and Tieyong Zeng. IEEE Transactions on Image Processing (IEEE TIP), 2020. *First contributor, Author names alphabetically. This achievement was completed during the visit of the Chinese University of Hong Kong (CUHK). SCI-1, Top journal. [Paper] [Code] [Homepage]
	Multi-level Edge Features Guided Network for Image Denoising Faming Fang, Juncheng Li*, Yiting Yuan, Tieyong Zeng, and Guixu Zhang. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020. *First contributor, Author names alphabetically. This achievement was completed during the visit of the Chinese University of Hong Kong (CUHK). SCI-1, Top journal. [Paper] [Code] [Homepage]
	Luminance-aware Pyramid Network for Low-light Image Enhancement Jiaqian Li#, Juncheng Li#, Faming Fang, Fang Li, and Guixu Zhang. IEEE Transactions on Multimedia (IEEE TMM), 2020. #Equal Contribution. Guided by me. SCI-1. [Paper] [Code]
	Efficient and Accurate Multi-scale Topological Network for Single Image Dehazing Qiaosi Yi#, Juncheng Li#, Faming Fang, Aiwen Jiang, Guixu Zhang IEEE Transactions on Multimedia (IEEE TMM), 2020. #Equal Contribution. Guided by me. SCI-1. [Paper]

Conference Papers

	Structure-Preserving Deraining with Residue Channel Prior Guidance Qiaosi Yi, Juncheng Li, Qinyan Dai, Faming Fang, Guixu Zhang1g, and Tieyong Zeng. International Conference on Computer Vision (ICCV), 2021. Top computer vision conference. Guided by me. [Paper] [Poster] [Code] [Homepage]
	Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation Qinyan Dai, Juncheng Li, Qiaosi Yi, Faming Fang, and Guixu Zhang1g. ACM International Conference on Multimedia (ACM MM), 2021. Top multimedia conference. Guided by me. [Paper] [Poster] [Code]
	HighEr-Resolution Network for Image Demosaicing and Enhancing Kangfu Mei, Juncheng Li, Jiajie Zhang, Haoyu Wu, Jie Li, and Rui Huang. International Conference on Computer Vision Workshop (ICCV Workshop), 2019. AIM2019 Winner [Paper] [Code]
	Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution Juncheng Li, Yiting Yuan, Kangfu Mei, and Faming Fang. International Conference on Computer Vision Workshop (ICCV Workshop), 2019. Oral Presentation [Paper] [Poster] [Slides] [Code] [Homepage]
	Multi-scale Residual Network for Image Super-Resolution Juncheng Li, Faming Fang, Kangfu Mei, and Guixu Zhang. European Conference on Computer Vision (ECCV), 2018. Top computer vision conference. The most popular paper. 241 stars and 54 forks in Github. [Paper] [Poster] [Code] [Homepage]

Academic Services

Selected Reviewer

Journal

Conference

Association Member

Keynotes

	Structure-Preserving Deraining with Residue Channel Prior Guidance Internal meeting, Chinese University of Hong Kong. Hong Kong, China, 2021.08.20 [Slides]
	Exploration and Construction of Lightweight Image Restoration Model Institute of Big Data Technology and Application, School of Computer and Software, Shenzhen University. Shenzhen, China, 2020.12.21. [Poster] [Slides]
	Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution IEEE International Conference on Computer Vision (ICCV). Seoul, Korea, 2019.11.02. [Slides]

Meeting (2016.9-Present)