Juncheng Li (李俊诚) School of Communication & Information Engineering, Shanghai University, Xiangying Building, Baoshan, Shanghai. Email: cvjunchengli[at]gmail.com & junchengli[at]shu.edu.cn Success is not final, failure is not fatal, it is the courage to continue that counts.--Churchill

Biography

I received the Ph.D. degree 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. I also served as a Postdoctoral Fellow at the Center for Mathematical Artificial Intelligence, The Chinese University of Hong Kong, advised by Prof. Tieyong Zeng, in 2021-2022. My research interests include artificial intelligence and its applications to computer vision (e.g., image segmentation) and image processing (e.g., image super-resolution, image denoising, image dehazing, and medical image processing). He has published more than 20 papers in top journals and conferences, including TNNLS, TIP, TMM, TCSVT, PR, ECCV, ICCV, AAAI, ACMMM, and IJCAI. Meanwhile, I received several premium awards, including the Outstanding Ph.D. Graduates in Shanghai 2021, CUHK Research Fellowship Scheme 2021, the winner of 2019 ICCV-AIM (Example-based RAW to RGB Mapping Challenge), etc. I also served as a reviewer for more than 30 international journals/conferences, including CVPR, TIP, TNNLS, TCYB, TMM, TCSVT, INS, PR, KBS, and SPL.

News

NTIRE 2022 Stereo Image Super-Resolution Challenge--Finished!

2018-Now, 24 Papers, 3 Challenge Reports

Honors & Awards

2016-Present (Graduate Period)

Research Experience

• The Chinese University of Hong Kong, Hong Kong.
  2021--2022
  
  Postdoctoral Fellow
  Topic: Image resolution and medical image reconstruction
  Supervisor: Prof. Tieyong Zeng 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, IJMLC 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. Tieyong Zeng (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. Tieyong Zeng (Director of CMAI)
  

Fund & Project

Principal

• Research on low-quality face restoration and recognition in real scenes, Key Laboratory Open Projects, Under Research, Principal.
• Research on a Flexible and Efficient Real Image Super-Resolution Reconstruction Framework, Doctoral Research Innovation Fund Project (ECNU), Concluded, Principal.

Participation

• Research on Magnetic Resonance Image Enhancement Model and Algorithm Based on Generative Adversarial Learning, International (Regional) Cooperation and Exchange Project (NSFC), Under Research, Participation.
• Research on rapid stitching model and algorithm of remote sensing images, General Project (NSFC), Under Research, Participation.

Selected Publications [Total Citations: 1294] [Highest Citation: 556]

#：Co-first authors *：Corresponding author

Selected Preprint Papers

	Efficient Image Super-Resolution with Feature Interaction Weighted Hybrid Network Wenjie Li#, Juncheng Li#, Guangwei Gao*, Weihong Deng, Jian Yang, Guo-Jun Qi, and Chia-Wen Lin arXiv 2212.14181, 2023. [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]
	CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution Guangwei Gao#, Zixiang Xu#, Juncheng Li*, Jian Yang, Tieyong Zeng, and Guo-Jun Qi. arXiv 2204.08696, 2022. [Paper]
	Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution Wenjie Li, Juncheng Li, Guangwei Gao*, Jiantao Zhou, Jian Yang, and Guo-Jun Qi. arXiv 2207.02796, 2022. [Paper]
	Snow Mask Guided Adaptive Residual Network for Image Snow Removal Bodong Cheng, Juncheng Li*, Ying Chen*, Shuyi Zhang, and Tieyong Zeng arXiv 2207.04754, 2022. [Paper]

Selected 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 【Hot】 Faming Fang, Juncheng Li, and Tieyong Zeng*. IEEE Transactions on Image Processing (IEEE TIP), 2020. Author names alphabetically. This achievement was completed during the visit of CUHK. SCI-1. [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. Author names alphabetically. This achievement was completed during the visit of CUHK. SCI-1. [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. 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. SCI-1. [Paper]
	FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic Segmentation 【New】 Guangwei Gao#, Guoan Xu#, Juncheng Li*, Yi Yu*, Huimin Lu, and Jian Yang IEEE Transactions on Multimedia (IEEE TMM), 2022. SCI-1. [Paper] [Homepage]
	Adjustable Super-Resolution Network via Deep Supervised Learning and Progressive Self-Distillation Juncheng Li, Faming Fang*, Tieyong Zeng, Guixu Zhang, and Xizhao Wang. Neurocomputing (NC), 2022. SCI-2. [Paper]

Selected Conference Papers

	Multi-scale Residual Network for Image Super-Resolution 【Hot】 Juncheng Li, Faming Fang*, Kangfu Mei, and Guixu Zhang. European Conference on Computer Vision (ECCV), 2018. Top computer vision conference. [Citations: 550+] [Paper] [Poster] [Code] [Homepage]
	Structure-Preserving Deraining with Residue Channel Prior Guidance Qiaosi Yi, Juncheng Li, Qinyan Dai, Faming Fang*, Guixu Zhang, and Tieyong Zeng. International Conference on Computer Vision (ICCV), 2021. Top computer vision conference. [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 Zhang. ACM International Conference on Multimedia (ACMMM), 2021. Top multimedia conference. [Paper] [Poster] [Code]
	Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution 【New】 Guangwei Gao#, Wenjie Li#, Juncheng Li*, Fei Wu, Huimin Lu, and Yi Yu Association for the Advancement of Artificial Intelligence (AAAI), 2022. Top artificial intelligence conference. [Paper] [Poster] [Code] [Homepage]
	Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer 【New】 Guangwei Gao#, Zhengxue Wang#, Juncheng Li*, Wenjie Li, Yi Yu, and Tieyong Zeng International Joint Conference on Artificial Intelligence (IJCAI), 2022. Top artificial intelligence conference. Oral Presentation [Paper] [Code] [Homepage]

Workshop Papers

	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. Student Travel Award. [Paper] [Poster] [Slides] [Code] [Homepage]
	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]
	Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation 【New】 Juncheng Li, Hanhui Yang, Qiaosi Yi, Faming Fang, Guangwei Gao, Tieyong Zeng*, and Guixu Zhang The Conference on Computer Vision and Pattern Recognition Workshop (CVPR Workshop), 2022. NTIRE [Paper] [Poster]
	Transformer for Single Image Super-Resolution 【New】 Zhisheng Lu#, Juncheng Li#, Hong Liu*, Chaoyan Huang, Linlin Zhang, and Tieyong Zeng The Conference on Computer Vision and Pattern Recognition Workshop (CVPR Workshop), 2022. NTIRE [Paper] [Supp] [Poster] [Code] [Homepage]

Challenge Reports

	NTIRE 2018 Challenge on Image Dehazing: Methods and Results CVPR NTIRE, 2018. The 6th place and Honorable Mention Award. [Paper]
	AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results ICCV AIM, 2019. The 1st place in track 2. The 2nd place in track 1. [Paper]
	NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results 【New】 CVPR NTIRE, 2022. Longguang Wang, Yulan Guo*, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte Co-Organizer [Paper] [Video] [Homepage]

Academic Services

Guest Editor

Co-Organizer

Program Committee Member

Technical Program Committee Member

Journal Reviewer

Conference Reviewer

Association Member

Collaborators