Gang Yang   阳港

PhD Candidate


University of Science and Technology of China
Hefei, China


Email: yg1997@mail.ustc.edu.cn;
Google Scholar: Google Scholar Link;
Github: https://github.com/yggame.
WeChat: yg_52194_6067

Medical Image Processing

图像逆问题

Gang Yang

Biography

I am currently a Ph.D. candidate at National Engineering Laboratory for Brain-inspired Intelligence Technology and Application (NEL-BITA), University of Science and Technology of China (USTC)), and my supervisors are Prof. Xun Chen of X-Lab and A/Prof. Aiping Liu.

2019-2022 I am very fortunate to be advised by Prof. Feng Wu and A/Prof. Aiping Liu during the first few years of my master's degree at USTC.

2015-2019 I received my Bachelor's degree from Sichuan University in 2019.

My research area is mainly medical image processing, including low-level and high-level tasks, such as Super-resolution, Synthesis, Segmentation, etc.

News

[2024] One paper (TMFormer) was accepted by AAAI 2024.
[2023] One paper (PanFlowNet) was accepted by ICCV 2023.
[2023] One paper (MGDUN) was accepted by CiBM.
[2022] One paper was accepted by ACM MM 2022.
[2022] One paper (MDCUN) was accepted by CVPR 2022.


Publications[Google Scholar]

[☆] SIMFusion: A semantic information-guided modality-specific fusion network for MR Images.

Xiaowen Zhang, Aiping Liu, Gang Yang, Yu Liu, Xun Chen.

Information Fusion, 2024.
[Code] [PDF] [BibTex]

[☆] Misalignment-Resistant Deep Unfolding Network for multi-modal MRI super-resolution and reconstruction.

Jinbao Wei, Gang Yang, Zhijie Wang, Yu Liu, Aiping Liu, Xun Chen.

Knowledge-Based Systems (KBS), 2024.
[Code] [PDF] [BibTex]

[☆] TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities.

Zheyu Zhang, Gang Yang $\dagger$, Yueyi Zhang, Huanjing Yue, Aiping Liu, Yunwei Ou, Jian Gong, Xiaoyan Sun.

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024.
[Code] [PDF] [BibTex]

[☆] Learning Discriminative Noise Guidance for Image Forgery Detection and Localization.

Jiaying Zhu, Dong Li, Xueyang Fu, Gang Yang, Jie Huang, Aiping Liu, Zheng-Jun Zha.

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024.
[Code] [PDF] [BibTex]

[☆] SFE-Net: Spatial-frequency enhancement network for robust nuclei segmentation in histopathology images.

Jinsha Chen, Gang Yang, Aiping Liu, Xun Chen, Ji Liu.

Computers in Biology and Medicine (CiBM), 2024.
[Code] [PDF] [BibTex]

[☆] Transition-constant normalization for image enhancement.

Jie Huang, Jinghao Zhang, Gang Yang, Mingde Yao, Chongyi Li, Zhiwei Xiong, Feng Zhao.

Advances in Neural Information Processing Systems (NeurIPS), 2024.
[Code] [PDF] [BibTex]

[☆] MGDUN: An interpretable network for multi-contrast MRI image super-resolution reconstruction.

Gang Yang, Li Zhang, Aiping Liu, Xueyang Fu, Xun Chen, Rujing Wang.

Computers in Biology and Medicine (CiBM), 2023.
[Code] [PDF] [BibTex]

[☆] A Data Augmentation Method Based on Multi-Modal Image Fusion for Detection and Segmentation.

Jing Zhang, Gang Yang, Aiping Liu, Xun Chen.

International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD), 2023.
[Code] [PDF] [BibTex]

[☆] Learning Task-Specific Morphological Representation for Pyramidal Cells via Mutual Information Minimization.

Chunli Sun, Qinghai Guo, Gang Yang, Feng Zhao.

International Workshop on PRedictive Intelligence In MEdicine (PRIME (MICCAI Workshop)), 2023.
[Code] [PDF] [BibTex]

[☆] PanFlowNet: A Flow-Based Deep Network for Pan-sharpening.

Gang Yang, Xaingyong Cao, Wenzhe Xiao, Man Zhou, Aiping Liu, Xun Chen, Deyu Meng.

Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
[Code] [PDF] [BibTex]

[☆] Normalization-based Feature Selection and Restitution for Pan-sharpening.

Man Zhou, Jie Huang, Keyu Yan, Gang Yang, Aiping Liu, Chongyi Li, Feng Zhao.

Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), 2022.
[Code] [PDF] [BibTex]

[☆] Model-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution Reconstruction.

Gang Yang, Li Zhang, Man Zhou, Aiping Liu, Xun Chen, Zhiwei Xiong, Feng Wu.

Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), 2022.
[Code] [PDF] [BibTex]

[☆] Memory-augmented deep conditional unfolding network for pan-sharpening.

Gang Yang, Man Zhou, Keyu Yan, Aiping Liu, Xueyang Fu, Fan Wang.

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[Code] [PDF] [BibTex]

[☆] Unfolding Taylor's Approximations for Image Restoration.

Man Zhou, Xueyang Fu, Zeyu Xiao, Gang Yang, Aiping Liu, Zhiwei Xiong.

Advances in Neural Information Processing Systems (NeurIPS), 2021.
[Code] [PDF] [BibTex]


Academic Experience

  • Journal Reviewers:
    IEEE Transactions on Instrumentation and Measurement (TIM)
    IEEE Transactions on Biomedical Engineering (T-BME)
    IEEE Signal Processing Letters (SPL)
    IEEE Open Journal of Signal Processing (OJ-SP), etc.
  • Conference Reviewers:
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
    Proceedings of the 30th ACM International Conference on Multimedia (ACM MM)
    Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)
    Chinese Conference on Pattern Recognition and Computer Vision (PRCV)
    CAAI International Conference on Artificial Intelligence (CICAI), etc.
  • IEEE Student Member


  • Honors & Awards

    National Scholarship, National Inspirational Scholarship, Comprehensive Excellence Scholarship.
    First-class Academic Scholarship from the University of Science and Technology of China, and Huawei Special Scholarship.
    Outstanding University Graduate in Sichuan Province, Outstanding Graduate of Sichuan University, and Excellent Student.
    IEEE Student Member