Publications
You can also find my articles on my Google Scholar profile.
Publications: 2024, 2023, 2022, 2021
2024
Xiaowen Zhang, Aiping Liu, Gang Yang, Yu Liu, Xun Chen
Published in KBS2024, 2024 [pdf]
This paper is about SIMFusion: A semantic information-guided modality-specific fusion network for MR Images.
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Jinbao Wei, Gang Yang, Zhijie Wang, Yu Liu, Aiping Liu, Xun Chen
Published 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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Zheyu Zhang, Gang Yang $\dagger$, Yueyi Zhang, Huanjing Yue, Aiping Liu, Yunwei Ou, Jian Gong, Xiaoyan Sun
Published in AAAI, 2024 [pdf]
This paper is about TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities.
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Jiaying Zhu, Dong Li, Xueyang Fu, Gang Yang, Jie Huang, Aiping Liu, Zheng-Jun Zha
Published in AAAI, 2024 [pdf]
This paper is about Learning Discriminative Noise Guidance for Image Forgery Detection and Localization.
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Jinsha Chen, Gang Yang, Aiping Liu, Xun Chen, Ji Liu
Published 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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Jie Huang, Jinghao Zhang, Gang Yang, Mingde Yao, Chongyi Li, Zhiwei Xiong, Feng Zhao
Published in NeurIPS2024, 2024 [pdf]
This paper is about Transition-constant normalization for image enhancement.
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2023
Gang Yang, Li Zhang, Aiping Liu, Xueyang Fu, Xun Chen, Rujing Wang
Published in CiBM, 2023 [pdf]
This paper is about MGDUN: An interpretable network for multi-contrast MRI image super-resolution reconstruction.
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Jing Zhang, Gang Yang, Aiping Liu, Xun Chen
Published 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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Chunli Sun, Qinghai Guo, Gang Yang, Feng Zhao
Published 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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Gang Yang, Xaingyong Cao, Wenzhe Xiao, Man Zhou, Aiping Liu, Xun Chen, Deyu Meng
Published in ICCV, 2023 [pdf]
This paper is about PanFlowNet: A Flow-Based Deep Network for Pan-sharpening.
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2022
Man Zhou, Jie Huang, Keyu Yan, Gang Yang, Aiping Liu, Chongyi Li, Feng Zhao
Published 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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Gang Yang, Li Zhang, Man Zhou, Aiping Liu, Xun Chen, Zhiwei Xiong, Feng Wu
Published 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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Gang Yang, Man Zhou, Keyu Yan, Aiping Liu, Xueyang Fu, Fan Wang
Published 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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2021
Man Zhou, Xueyang Fu, Zeyu Xiao, Gang Yang, Aiping Liu, Zhiwei Xiong
Published in Neural Information Processing Systems 34, 2021 [pdf]
This paper is about Unfolding Taylors Approximations for Image Restoration.
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