Yuncheng Jiang

Ph.D. student

DeepBit Lab, CUHKSZ
Email: yuncheng.jiang97[at]gmail.com

Biography

I am a 5th-year Ph.D. student at The Chinese University of Hong Kong (Shenzhen). My advisors are Zhen Li. I received the B.S. degree from School of Physics, University of Electronic Science and Technology of China (UESTC) in 2020. Currently, I am a Reseach Intern at IHPC, Agency for Science, Technology and Research (A*STAR) of Singapore.

I am interested in intelligent medical image analysis, including image detection and segmentation, video understanding, large-scale pre-training, multi-modal foudnation model, and explainable artificial intelligence.

News

[2025.06] Two papers about large-language model for report generation was accepted by MICCAI 2025.
[2024.10] One papers about diffusion-based segmentation model was accepted by IEEE JBHI 2024.
[2024.08] Two papers for polyp detection and segmentation were accepted by IEEE BIBM 2024.
[2024.05] One paper about new dataset and model for endorectal ultrasound analysis was accepted by MICCAI 2024 (early accepted).
[2023.11] One paper got accepted by IEEE JBHI 2023.
[2023.10] One paper got accepted by IEEE BIBM 2023.
[2023.05] Two papers got accepted by MICCAI 2023 (early accepted).

Research

* refers to the co-first authors. Representative papers are highlighted.
The full paper list can be found on Google Scholar.

Highlighted Diffusion Model as Plug-in Priors for Polyp Segmentation
Yuhao Du*, Yuncheng Jiang*, Shuangyi Tan, Si-Qi Liu, Zhen Li, Guanbin Li, Xiang Wan.
IEEE Journal of Biomedical and Health Informatics (JBHI), 2024.

[Paper] [Code]
MixPolyp: Integrating Mask, Box and Scribble Supervision for Enhanced Polyp Segmentation
Yiwen Hu*, Jun Wei*, Yuncheng Jiang*, Haoyang Li, Shuguang Cui, Zhen Li, Song Wu.
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024.

[Paper] [Code]
Let Video Teaches You More: Video-to-Image Knowledge Distillation using DEtection TRansformer for Medical Video Lesion Detection
Yuncheng Jiang*, Zixun Zhang*, Jun Wei, Chun-Mei Feng, Guanbin Li, Xiang Wan, Shuguang Cui, Zhen Li.
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024.

[Paper] [Code]
Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development
Yuncheng Jiang*, Yiwen Hu*, Zixun Zhang, Jun Wei, Chun-Mei Feng, Xuemei Tang, Xiang Wan, Yong Liu, Shuguang Cui, Zhen Li.
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024. (early accepted, Top 11%)

[Paper] [Code]
ScribblePolyp: Scribble-Supervised Polyp Segmentation through Dual Consistency Alignment.
Zixun Zhang*, Yuncheng Jiang*, Jun Wei, Hannah Cui, Zhen Li.
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023.

[Paper] [Code]
ECC-PolypDet: Enhanced CenterNet with Contrastive Learning for Automatic Polyp Detection
Yuncheng Jiang*, Zixun Zhang*, Yiwen Hu*, Guanbin Li, Xiang Wan, Song Wu, Shuguang Cui, Silin Huang, Zhen Li.
IEEE Journal of Biomedical and Health Informatics (JBHI), 2023.

[Paper] [Code]
ArSDM: colonoscopy images synthesis with adaptive refinement semantic diffusion models
Yuhao Du*, Yuncheng Jiang*, Shuangyi Tan, Xusheng Wu, Qi Dou, Zhen Li, Guanbin Li, Xiang Wan.
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023. (early accepted, Top 11%)

[Paper] [Code]
YONA: you only need one adjacent reference-frame for accurate and fast video polyp detection
Yuncheng Jiang*, Zixun Zhang*, Ruimao Zhang, Guanbin Li, Shuguang Cui, Zhen Li.
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023. (early accepted, Top 11%)

[Paper] [Code]
APAUNet: axis projection attention UNet for small target in 3D medical segmentation
Yuncheng Jiang*, Zixun Zhang*, Shixi Qin, Yao Guo, Zhen Li, Shuguang Cui.
Asian Conference on Computer Vision (ACCV), 2023.

[Paper] [Code]

Internships

Agency for Science, Technology and Research (A*STAR), Singapore

Apr. 2024 - Present

Research Intern
Advisor: Chun-Mei Feng
Topic: Large-scale pre-training; Multimodal Learning
Med-Lab, Shenzhen Research Institute of Big Data (SRIBD), Shenzhen, China

Feb. 2022 - Nov. 2022

Research Intern
Advisor: Xiang Wan, Guanbin Li
Topic: Intelligent colorectal cancer diagnosis; Video understanding

Honors

Excellence Ph.D. Scholarship of Shenzhen Research Institute of Big Data

2023
Outstanding Student Awardof of The University of Electronic Science and Technology of China

2019
Talent Scholarship at Chinese Academy of Sciences

2018
National scholarshipof The University of Electronic Science and Technology of China

2017

Services

Conference Reviewer: CVPR, ICCV, NuerIPS, ACCV, MICCAI, BIBM,
Journal Reviewer: TNNLS, JBHI, TMI, MIA

Teaching

CSC4008 Techniques for Data Mining

2020-2021 Fall
MAT2040 Linear Algebra

2021-2022 Spring & Fall
EIE4512 Digital Image Processing

2021-2022 Summer
MAT2040 Linear Algebra

2022-2023 Spring
EIE4512 Digital Image Processing

2022-2023 Summer