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publications
Unfolding Taylor’s Approximations for Image Restoration
Man Zhou, Xueyang Fu, Zeyu Xiao, Gang Yang, Aiping Liu, Zhiwei XiongPublished in Neural Information Processing Systems 34, 2021 [pdf]
This paper is about Unfolding Taylors Approximations for Image Restoration.
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Memory-augmented deep conditional unfolding network for pan-sharpening
Gang Yang, Man Zhou, Keyu Yan, Aiping Liu, Xueyang Fu, Fan WangPublished in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 [pdf]
This paper is about Memory-augmented deep conditional unfolding network for pan-sharpening.
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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 WuPublished in Proceedings of the 30th ACM International Conference on Multimedia, 2022 [pdf]
This paper is about Model-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution Reconstruction.
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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 ZhaoPublished in Proceedings of the 30th ACM International Conference on Multimedia, 2022 [pdf]
This paper is about Normalization-based Feature Selection and Restitution for Pan-sharpening.
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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 MengPublished in ICCV, 2023 [pdf]
This paper is about PanFlowNet: A Flow-Based Deep Network for Pan-sharpening.
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Learning Task-Specific Morphological Representation for Pyramidal Cells via Mutual Information Minimization
Chunli Sun, Qinghai Guo, Gang Yang, Feng ZhaoPublished in PRIME (MICCAI Workshop), 2023 [pdf]
This paper is about Learning Task-Specific Morphological Representation for Pyramidal Cells via Mutual Information Minimization.
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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 ChenPublished in ICSMD, 2023 [pdf]
This paper is about A Data Augmentation Method Based on Multi-Modal Image Fusion for Detection and Segmentation.
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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 WangPublished in CiBM, 2023 [pdf]
This paper is about MGDUN: An interpretable network for multi-contrast MRI image super-resolution reconstruction.
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Transition-constant normalization for image enhancement
Jie Huang, Jinghao Zhang, Gang Yang, Mingde Yao, Chongyi Li, Zhiwei Xiong, Feng ZhaoPublished in NeurIPS2024, 2024 [pdf]
This paper is about Transition-constant normalization for image enhancement.
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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 LiuPublished in CiBM, 2024 [pdf]
This paper is about SFE-Net: Spatial-frequency enhancement network for robust nuclei segmentation in histopathology images.
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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 ZhaPublished in AAAI, 2024 [pdf]
This paper is about Learning Discriminative Noise Guidance for Image Forgery Detection and Localization.
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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 SunPublished in AAAI, 2024 [pdf]
This paper is about TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities.
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Misalignment-Resistant Deep Unfolding Network for multi-modal MRI super-resolution and reconstruction
Jinbao Wei, Gang Yang, Zhijie Wang, Yu Liu, Aiping Liu, Xun ChenPublished in KBS2024, 2024 [pdf]
This paper is about Misalignment-Resistant Deep Unfolding Network for multi-modal MRI super-resolution and reconstruction.
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SIMFusion: A semantic information-guided modality-specific fusion network for MR Images
Xiaowen Zhang, Aiping Liu, Gang Yang, Yu Liu, Xun ChenPublished in KBS2024, 2024 [pdf]
This paper is about SIMFusion: A semantic information-guided modality-specific fusion network for MR Images.
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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