Gang Yang   阳港PhD CandidateUniversity of Science and Technology of China Hefei, China
Medical Image Processing图像逆问题 |
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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.| [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. |
| [☆] SIMFusion: A semantic information-guided modality-specific fusion network for MR Images. Xiaowen Zhang, Aiping Liu, Gang Yang, Yu Liu, Xun Chen. |
| [☆] 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. |
| [☆] 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.
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| [☆] 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.
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| [☆] 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.
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| [☆] 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.
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| [☆] 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.
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| [☆] 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.
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| [☆] 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.
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| [☆] 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.
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| [☆] 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.
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| [☆] 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.
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| [☆] 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.
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| [☆] 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.
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| IEEE Transactions on Multimedia (TMM) |
| IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) |
| IEEE Journal of Biomedical And Health Informatics (JBHI) |
| 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. |
| 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. |
| 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 |