Juncheng Li (李俊诚)

Assistant Professor
School of Communication & Information Engineering,
Shanghai University,
T807, Xiangying Building, Baoshan, Shanghai.

Email: cvjunchengli[at]gmail.com & junchengli[at]shu.edu.cn

I'm always looking for self-motivated students working with me on computer vision, image processing, and medical image analysis. For prospective students, please send me an email with your CV and transcript.




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, object detection) and image processing (e.g., image super-resolution, image restoration under adverse weather, medical image processing). I have published more than 40 papers in top journals and conferences, including ACM CS, TIP, TNNLS, TMM, TCSVT, TMI, JBHI, CVPR, ICCV, ECCV, AAAI, IJCAI, ACMMM, and MICCAI. Meanwhile, I received several premium awards, including the first prize for Innovation Achievements in Industry-Academia-Research Cooperation in China 2023, the Outstanding Ph.D. Graduates in Shanghai 2021, the 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 conferences/journals, including CVPR, ICCV, ECCV, AAAI, TPAMI, TIP, TNNLS, TCYB, TMM, TCSVT, INS, PR, and KBS.

Recent News

One paper (IEEE TIP) is selected as Highly Cited Papers in the latest issue of ESI Index, 2024.
Selected into the World's Top 2% Scientists list, 2023.
One paper (IEEE TMM) is selected as Highly Cited Papers in the latest issue of ESI Index, 2023.
Selected into “Yang Fan Plan” of Shanghai, 2023.

Papers

One paper is accepted by IEEE TMI, 2024.
One paper is accepted by ESWA, 2024.
One paper is accepted by MICCAI, 2024.
One paper is accepted by Neural Networks, 2024.
One paper is accepted by IEEE JBHI, 2024.
One paper is accepted by ACM Computing Surveys, 2024.
One paper is accepted by IEEE TMI, 2024.
One paper is accepted by CVPR, 2024.
One paper is accepted by IEEE TMI, 2024.
One paper is accepted by CIBM, 2023.
One paper is accepted by IEEE TMI, 2023.
One paper is accepted by IEEE JBHI, 2023.
One review is accepted by Journal of Image and Graphics, 2023.
One paper is accepted by MICCAI, 2023.
One paper is accepted by PR, 2023.
One paper is accepted by IEEE TMM, 2023.
One paper is accepted by IEEE TIP, 2023.
One paper is accepted by IEEE TITS, 2023.
------Postdoc--------
One paper is accepted by IJCAI, 2022.
One paper is accepted by IEEE TMM, 2022.
One paper is accepted by AAAI, 2021.
-------Ph.D---------
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 IEEE TCSVT 2020.
One paper is accepted by IEEE TMM, 2020.
One paper is accepted by IEEE TNNLS, 2020.
One paper is accepted by IEEE TIP, 2020.
One paper is accepted by ECCV, 2018.

Honors & Awards

The First Prize for Innovation Achievements in Industry-Academia-Research Cooperation in China, 2023.
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.
ICCV Student Travel Award, 2019.
Graduate Scholarship, East China Normal University, 2016-2020.
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.

Research Experience

Selected Publications [Total Citations: 2807] [Highest Citation: 847]

#:Co-first authors *:Corresponding author

Selected Survey

A Systematic Survey of Deep Learning-based Single-Image Super-Resolution 【New】
Juncheng Li, Zehua Pei, Wenjie Li, Guangwei Gao, Longguang Wang, Yingqian Wang, Tieyong Zeng

ACM Computing Surveys (CUSR), 2024.

[Paper] [Homepage]

Applications and Challenges of Deep Learning in Dental Imaging 【New】
Yang Zhao, Juncheng Li*, Bodong Cheng, Najun Niu, Longguang Wang, Guangwei Gao, Jun Shi

Journal of Image and Graphics (Chinese Journal), 2023.
[Paper]

Medical Image Processing

Few Sampling Meshes-based 3D Tooth Segmentation via Region-Aware Graph Convolutional Network【New】
Yang Zhao, Bodong Cheng, Najun Niu, Jun Wang, Tieyong Zeng, Guixu Zhang, Jun Shi, Juncheng Li*

Expert Systems with Applications (ESWA), 2024.
[Paper]

Involution Transformer based U-Net for Landmark Detection in Ultrasound Images for Diagnosis of Infantile DDH【New】
Tianxiang Huang, Jing Shi*, Juncheng Li, Jun Wang, Jun Du, Jun Shi*

IEEE Journal of Biomedical and Health Informatics (JBHI), 2024.
[Paper]

Cost-Sensitive Weighted Contrastive Learning Based on Graph Convolutional Networks for Imbalanced Alzheimer’s Disease Staging【New】
Yan Hu, Jun Wang*, Hao Zhu, Juncheng Li, Jun Shi

IEEE Transactions on Medical Imaging (TMI), 2024.
[Paper]

Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers with Partially Annotated Ultrasound Images【New】
Jian Wang, Liang Qiao, Shichong Zhou, Jin Zhou, Jun Wang, Juncheng Li, Shihui Ying, Cai Chang, Jun Shi*

IEEE Transactions on Medical Imaging (TMI), 2024.
[Paper]

A Fine-Grained Orthodontics Segmentation Model for 3D Intraoral Scan Data 【New】
Juncheng Li, Bodong Cheng, Najun Niu, Guangwei Gao, Shihui Ying, Jun Shi, Tieyong Zeng

Computers in Biology and Medicine (CIBM), 2023.
[Paper] [Dataset] [Code]

Fast MRI Reconstruction via Edge Attention
Hanhui Yang, Juncheng Li*, Lok Ming Lui, Shihui Ying, Jun Shi, and Tieyong Zeng*

Communications in Computational Physics (CICP), 2023.
[Paper] [Code]

Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images
Yuanming Zhang, Zheng Li, Xiangmin Han, Saisai Ding, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi*

IEEE Transactions on Medical Imaging (TMI), 2023.
[Paper]

Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification
Saisai Ding, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi*

IEEE Journal of Biomedical and Health Informatics (JBHI), 2023.
[Paper]

Multi-Scale Prototypical Transformer for Whole Slide Image Classification
Saisai Ding, Jun Wang, Juncheng Li, and Jun Shi*

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.
Top medical image processing conference.
[Paper]

Image Restoration and Enhancement

Selected Journal Papers

EWT: Efficient Wavelet-Transformer for Single Image Denoising 【New】
Juncheng Li, Bodong Cheng, Ying Chen, Guangwei Gao, Jun Shi, and Tieyong Zeng

Neural Networks (NN), 2023.
[Paper]

CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution 【New】 (ESI Highly Cited Paper, 24.05)
Guangwei Gao#, Zixiang Xu#, Juncheng Li*, Jian Yang, Tieyong Zeng, and Guo-Jun Qi.

IEEE Transactions on Image Processing (IEEE TIP), 2023.
[Paper]

FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic Segmentation (ESI Highly Cited Paper, 23.11, 24.01, 24.05)
Guangwei Gao#, Guoan Xu#, Juncheng Li*, Yi Yu*, Huimin Lu, and Jian Yang

IEEE Transactions on Multimedia (IEEE TMM), 2022.
[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.
[Paper]

Efficient and Accurate Multi-scale Topological Network for Single Image Dehazing
Qiaosi Yi#, Juncheng Li#, Faming Fang*, Aiwen Jiang, and Guixu Zhang

IEEE Transactions on Multimedia (IEEE TMM), 2021.
[Paper]

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.
[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.
[Paper] [Code]

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.
[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.
[Paper] [Code] [Homepage]

Selected Conference Papers

Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution 【New】
Longguang Wang, Juncheng Li, Yingqian Wang, Qingyong Hu, and Yulan Guo*.

Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Top computer vision conference.
[Paper] [Poster] [Code]

Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer
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]

Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution
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]

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]

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]

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: 800+]

[Paper] [Poster] [Code] [Homepage]

Selected Workshop Papers

Transformer for Single Image Super-Resolution 【Hot [Citations: 300+]
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]

Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation
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]

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]

Academic Services

Guest Editor

Special issue "Mathematical Techniques and Artificial Intelligence in Image Processing" on the Journal of Mathematics.
Special issue "Advanced Image Restoration and Enhancement in the Wild" on IET Computer Version.
Special issue "Representation Learning for Computer Vision and Pattern Recognition" on the Journal of Mathematics.

Co-Organizer

CVPR-NTIRE 2024: Stereo Image Super-Resolution Challenge
ACPR 2023 Workshop: Representation Learning for Computer Vision and Pattern Recognition
CVPR-NTIRE 2023: Stereo Image Super-Resolution Challenge
CVPR-NTIRE 2022: Stereo Image Super-Resolution Challenge
IEEE ICME 2021 Special Session: Advanced Representation Learning for Robust Multimedia Image Understanding

Program Committee Member

CVPR, New Trends in Image Restoration and Enhancement workshop and challenges on image and video processing (NTIRE), 2022, 2023, 2024.
ICCV, AIM: Advances in Image Manipulation workshop and challenges, 2022.

Journal Reviewer

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
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 Broadcasting (TB)
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
IEEE Journal of Biomedical and Health Informatics (JBHI)
Computers in Biology and Medicine (CIBM)
Information Science (INS)
Pattern Recognition (PR)
Knowledge-Based Systems (KBS)
Computer Vision and Image Understanding (CVIU)
IEEE Signal Processing Letters (SPL)
...

Conference Reviewer

Conference on Computer Vision and Pattern Recognition (CVPR)
European Conference on Computer Vision (ECCV)
International Conference on Computer Vision (ICCV)
International Joint Conference on Artificial Intelligence (IJCAI)
...

Collaborators

Tieyong ZENG Guangwei Gao Longguang Wang Yingqian Wang


© Juncheng Li | Last updated: 2024-5