Juncheng Li (李俊诚)
Assistant Professor |
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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 have published more than 30 papers in top journals and conferences, including TIP, TNNLS, TMM, TCSVT, TMI, JBHI, ICCV, ECCV, AAAI, IJCAI, and MICCAI. Meanwhile, I received several premium awards, including 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, AAAI, TPAMI, TIP, TNNLS, TCYB, TMM, TCSVT, INS, PR, and KBS.
Selected into the World's Top 2% Scientists list, 2023. |
One paper (IEEE TIP) is selected as Highly Cited Papers in the latest issue of ESI Index, 2023. |
Selected into “Yang Fan Plan” of Shanghai, 2023. |
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 CVIU, 2023. |
One paper is accepted by ACPR, 2023. |
One paper is accepted by MICCAI, 2023. |
One paper is accepted by PR, 2023. |
One paper is accepted by IEEE TMM, 2023. |
One review is accepted by Mathematics, 2023. |
One paper is accepted by CICP, 2023. |
One paper is accepted by IEEE TIP, 2023. |
One paper is accepted by IEEE TITS, 2023. |
One paper is accepted by ICASSP, 2023. |
One paper is accepted by ACM TOMM, 2022. |
------Postdoc-------- |
One paper is accepted by Neurocomputing, 2022. |
One paper is accepted by IJCAI, 2022. |
Two papers are accepted by CVPR Workshop, 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 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 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. |
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. |
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Fast MRI Reconstruction via Edge Attention 【New】 Hanhui Yang, Juncheng Li*, Lok Ming Lui, Shihui Ying, Jun Shi, and Tieyong Zeng* Communications in Computational Physics (CICP), 2023. |
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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. |
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Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images【New】 Yuanming Zhang, Zheng Li, Xiangmin Han, Saisai Ding, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi* IEEE Transactions on Medical Imaging (TMI), 2023. |
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Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification【New】 Saisai Ding, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi* IEEE Journal of Biomedical and Health Informatics (JBHI), 2023. |
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Multi-Scale Prototypical Transformer for Whole Slide Image Classification【New】 Saisai Ding, Jun Wang, Juncheng Li, and Jun Shi* International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023. |
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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. |
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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. |
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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. |
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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. |
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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. |
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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. |
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FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic Segmentation Guangwei Gao#, Guoan Xu#, Juncheng Li*, Yi Yu*, Huimin Lu, and Jian Yang IEEE Transactions on Multimedia (IEEE TMM), 2022. |
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CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution 【New】 Guangwei Gao#, Zixiang Xu#, Juncheng Li*, Jian Yang, Tieyong Zeng, and Guo-Jun Qi. IEEE Transactions on Image Processing (IEEE TIP), 2023. |
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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. |
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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. |
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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. |
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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. |
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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. |
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Transformer for Single Image Super-Resolution 【Hot】 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. |
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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. |
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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. |
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NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results CVPR NTIRE, 2022. |
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NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results CVPR NTIRE, 2023. |
New Trends in Image Restoration and Enhancement workshop and challenges on image and video processing (NTIRE), 2022, 2023. |
AIM: Advances in Image Manipulation workshop and challenges, 2022. |
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) |
Information Science (INS) |
Pattern Recognition (PR) |
Knowledge-Based Systems (KBS) |
Computer Vision and Image Understanding (CVIU) |
IEEE Signal Processing Letters (SPL) |
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International Conference on Computer Vision (ICCV) |
Conference on Computer Vision and Pattern Recognition (CVPR) |
Advances in Image Manipulation workshop and challenges (AIM) |
New Trends in Image Restoration and Enhancement workshop and challenges on image and video processing (NTIRE) |
IEEE International Conference on Multimedia & Expo (ICME) |
International Conference on Acoustics, Speech, and Signal Processing (ICASSP) |
The British Machine Vision Conference (BMVC) |
International Conference on Pattern Recognition (ICPR) |
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Tieyong ZENG | Guangwei Gao | Kangfu Mei | Longguang Wang | Yingqian Wang |