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. Tieyong Zeng and Prof. Ronald Lok Ming LUI. He received the PhD 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. My research interests include artificial intelligence and its applications to computer vision (e.g., image stitching, image segmentation) and image processing (e.g., image super-resolution, image denoising, image dehazing, and medical image reconstruction). I have published more than 20 papers in top journals and conferences, including TNNLS, TIP, TMM, TCSVT, PR, ECCV, ICCV, AAAI, ACMMM, and IJCAI. I received several premium awards, including the Outstanding PhD 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 20 international journals/conferences, including TIP, TNNLS, TCYB, TMM, TCSVT, INS, PR, KBS, and SPL. If you are interested in my research or have any questions, feel free to contact me!

News

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

2018-Now, 23 Papers, 3 Challenge Reports

One paper is accepted by Neurocomputing, 2022.

One paper is accepted by IJCAI, 2022.

One challenge report is accepted by CVPR Workshop, 2022.

Two papers are accepted by CVPR Workshop, 2022.

One paper is accepted by IEEE TMM, 2022.

One paper is accepted by AAAI, 2021.

----------PhD----------

One paper is accepted by ICCV, 2021.

One paper is accepted by ACMMM, 2021.

One paper is accepted by IEEE TMM, 2021.

One paper is accepted by PR, 2021.

One paper is accepted by IEEE, TMM 2021.

One paper is accepted by ICME, 2021.

One paper is accepted by IEEE, TCSVT 2020.

One paper is accepted by IEEE TMM, 2020.

One paper is accepted by IEEE Access, 2020.

One paper is accepted by IEEE TNNLS, 2020.

One paper is accepted by IEEE TIP, 2020.

Two papers are accepted by ICCV Workshop, 2019.

One challenge report is accepted by ICCV Workshop, 2019.

One paper is accepted by IET Image Processing, 2019.

One paper is accepted by ICONIP, 2018.

One paper is accepted by ACCV, 2018.

One paper is accepted by ECCV, 2018.

One challenge report is accepted by CVPR Workshop, 2018.

Honors & Awards

2016-Present (Graduate Period)

Research Fellowship Scheme, The Chinese University of Hong Kong, 2021.

Outstanding PhD Graduates in Shanghai, Shanghai, 2021.

Innovative and Intelligent Youth, East China Normal University, 2020. (0.5%)

Outstanding Student, East China Normal University, 2020. (3.0%)

Wisdom Scholarship, East China Normal University, 2020. (1.5%)

Doctoral Research and Innovation Fund Project, East China Normal University, 2020.

Graduate Scholarship, East China Normal University, 2016-2020.

ICCV Student Travel Award, 2019.

The 1st place in "Example-based RAW to RGB Mapping Challenge", Track 2: Perceptual. (ICCV-AIM), 2019.

The 2nd place in "Example-based RAW to RGB Mapping Challenge", Track 1: Fidelity. (ICCV-AIM), 2019.

The 4th place and "Geek Award" in Alibaba - "Youku Video Enhancement and Super Resolution Challenge" (4/1514), 2019.

The 3rd place in China Multimedia - "Image Dehazing Challenge", (ChinaMM), 2018.

The 6th place and "Honorable Mention Award" in "Image Dehazing Challenge". (CVPR-NTIRE), 2018.

Ranked 24th in Jingdong Algorithm Challenge - "Potential User Prediction" (24/4240), 2017.

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. 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

NSFC, International (Regional) Cooperation and Exchange Project, 61961160734, Research on Magnetic Resonance Image Enhancement Model and Algorithm Based on Generative Adversarial Learning, 2020-01 to 2023-12, 1,000,000 RMB, Under Research, Participation.
NSFC, General Project, 61871185, Research on rapid stitching model and algorithm of remote sensing images, 2019-01 to 2022-12, 630,000 RMB, Under Research, Participation.
Doctoral Research Innovation Fund Project, East China Normal University, Research on a Flexible and Efficient Real Image Super-Resolution Reconstruction Framework, 2020-06 to 2021-10, 6000 RMB, Concluded, Principal.

Selected Publications [Total Citations: 1040] [Highest Citation: 490]

#：Co-ﬁrst authors *：Corresponding author

Preprint Papers

	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]

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]

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: 490+] [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. Short 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

Journal Reviewer

IEEE Transactions on Image Processing (TIP)

IEEE Transactions on Neural Networks and Learning System (TNNLS)

IEEE Transactions on Cybernetics (TCYB)

IEEE Transactions on Multimedia (TMM)

IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

Information Science (INS)

Pattern Recognition (PR)

Knowledge-Based Systems (KBS)

IEEE Signal Processing Letters (SPL)

...

Conference Reviewer

AIM: Advances in Image Manipulation workshop and challenges

New Trends in Image Restoration and Enhancement workshop and challenges on image and video processing (NTIRE)

IEEE International Conference on Multimedia & Expo (ICME)

The British Machine Vision Conference (BMVC)

International Conference on Pattern Recognition (ICPR)

Association Member

Member of CVF/CCF/CSIG/CAAI

Founder of MIVRC

Founder of CLF Studio 【A non-profit student innovation studio】

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 Workshop (ICCVW). Seoul, Korea, 2019.11.02. [Slides]