Publications

Jianwei Lin, Jiatai Lin, Cheng Lu, Hao Chen, Huan Lin, Bingchao Zhao, Zhenwei Shi, Bingjiang Qiu, Xipeng Pan, Zeyan Xu, Biao Huang, Changhong Liang, Guoqiang Han*, Zaiyi Liu*, Chu Han*. CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation. IEEE Transactions on Medical Imaging, 2023.

Code

Yuhao Mo, Chu Han*, Yu Liu, Min Liu, Zhenwei Shi, Jiatai Lin, Bingchao Zhao, Chunwang Huang, Bingjiang Qiu, Yanfen Cui, Lei Wu, Xipeng Pan, Zeyan Xu, Xiaomei Huang, Zaiyi Liu*, Ying Wang*, Changhong Liang*. HoVer-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer Diagnosis in Ultrasound Images. IEEE Transactions on Medical Imaging, 2023.

Code Dataset

Chu Han*, Jiatai Lin, Jinhai Mai, Yi Wang, Qingling Zhang, Bingchao Zhao, Xin Chen, Xipeng Pan, Zhenwei Shi, Zeyan Xu, Su Yao, Lixu Yan, Huan Lin, Xiaomei Huang, Changhong Liang, Guoqiang Han, Zaiyi Liu. Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels. Medical Image Analysis, 2022.

Code DOI

Chu Han*, Huasheng Yao, Bingchao Zhao, Zhenhui Li, Zhenwei Shi, Lei Wu, Xin Chen, Jinrong Qu, Ke Zhao, Rushi Lan, Changhong Liang, Xipeng Pan, Zaiyi Liu. Meta Multi-task Nuclei Segmentation with Fewer Training Samples. Medical Image Analysis, 2022.

Code DOI

Jiatai Lin, Guoqiang Han, Xipeng Pan, Zaiyi Liu, Hao Chen, Danyi Li, Xiping Jia, Zhenwei Shi, Zhizhen Wang, Yanfen Cui, Haiming Li, Changhong Liang, Li Liang*, Ying Wang*, Chu Han*. PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning. IEEE Transactions on Medical Imaging, 2022.

Code

Bingchao Zhao, Chu Han*, Xipeng Pan, Jiatai Lin, Zongjian Yi, Changhong Liang, Xin Chen, Bingbing Li, Weihao Qiu, Danyi Li, Li Liang, Ying Wang*, Zaiyi Liu*. RestainNet: A self-supervised digital re-stainer for stain normalization. Computers & Electrical Engineering, 2022.

DOI

Bingchao Zhao, Jia Huang, Zaiyi Liu, Changhong Liang, Chu Han*. CNN-Based Fully Automatic Glioma Classification with Multi-modal Medical Images. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2020, 2021., 2021.

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Shucheng Ren, Chu Han, Xin Yang, Guoqiang Han, Shengfeng He*. TENet: Triple Excitation Network for Video Salient Object Detection. European Conference on Computer Vision (spotlight paper), 2020.

PDF Code

Yangyang Xu, Chu Han, Jing Qin, Xuemiao Xu, Guoqiang Han, Shengfeng He. Transductive Zero-shot Action Recognition via Visually-connected Graph Convolutional Networks. IEEE transactions on neural networks and learning systems, 2020.

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Bingchao Zhao#, Xin Chen#, Zhi Li#, Zhiwen Yu#, Su Yao, Lixu Yan, Yuqiang Wang, Zaiyi Liu*, Changhong Liang*, Chu Han*. Triple U-net: Hematoxylin-aware Nuclei Segmentation with Progressive Dense Feature Aggregation. Medical Image Analysis, 2020.

DOI

Qianshu Zhu#, Chu Han#, Guoqiang Han, Tien-Tsin Wong, Shengfeng He*. Video Snapshot: Single Image Motion Expansion via Invertible Motion Embedding. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020.

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Chufeng Xiao#, Chu Han#, Zhuming Zhang, Jing Qin, Tien-Tsin Wong, Guoqiang Han, Shengfeng He*. Example-Based Colourization Via Dense Encoding Pyramids. Computer Graphics Forum, 2020.

PDF Code DOI

Dongjiu Zhang, Chuhua Xian*, Guoliang Luo, Yunhui Xiong, Chu Han. DeepAO: Efficient Screen Space Ambient Occlusion Generation via Deep Network. IEEE Access, 2020.

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Yiliang Chen, Shengfeng He*, Zichang Tan, Chu Han, Guoqiang Han, Jing Qin. Age estimation via attribute-region association. Neurocomputing, 2019.

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Shengfeng He, Chu Han*, Guoqiang Han, Jing Qin. Exploring Duality in Visual Question-Driven Top-Down Saliency. IEEE transactions on neural networks and learning systems, 2019.

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Yi Guo, Zhuming Zhang, Chu Han, Wenbo Hu, Chengze Li, Tien-Tsin Wong*. Deep Line Drawing Vectorization via Line Subdivision and Topology Reconstruction. Computer Graphics Forum, 2019.

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Zhuming Zhang, Chu Han, Shengfeng He, Xueting Liu, Haichao Zhu, Xinghong Hu, Tien-Tsin Wong*. Deep binocular tone mapping. The Visual Computer, 2019.

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Teng Zhou, Guoqiang Han, Xuemiao Xu*, Chu Han, Yuchang Huang, Jing Qin. A learning-based multimodel integrated framework for dynamic traffic flow forecasting. Neural Processing Letters, 2019.

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Chu Han, Xueting Liu, Lok Tsun Sin, Tien-Tsin Wong*. TransHist: Occlusion-robust shape detection in cluttered images. Computational Visual Media, 2018.

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Chu Han#, Qiang Wen#, Shengfeng He*, Qianshu Zhu, Yinjie Tan, Guoqiang Han, Tien-Tsin Wong. Deep unsupervised pixelization. ACM Transactions on Graphics (TOG), 2018.

PDF Code Slides Source Document DOI

Teng Zhou, Guoqiang Han, Xuemiao Xu*, Zhizhe Lin, Chu Han, Yuchang Huang, Jing Qin. $δ$-agree AdaBoost stacked autoencoder for short-term traffic flow forecasting. Neurocomputing, 2017.

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Kin Chung Kwan, Lok Tsun Sinn, Chu Han, Tien-Tsin Wong*, Chi-Wing Fu. Pyramid of Arclength Descriptor for Generating Collage of Shapes. ACM Trans. Graph., 2016.

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