# indicates joint first author, * indicates corresponding author.

——————————————————– 2023 ——————————————————–

CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation

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^*
IEEE Transactions on Medical Imaging, 2023.
[DOI] [Cite] [Code]

HoVer-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer Diagnosis in Ultrasound Images

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
IEEE Transactions on Medical Imaging, 2023.
[DOI] [Cite] [Code&Dataset]

——————————————————– 2022 ——————————————————–

Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels

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
Medical Image Analysis, 2022
[DOI] [Cite] [Code&Dataset]

Meta Multi-task Nuclei Segmentation with Fewer Training Samples

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
Medical Image Analysis, 2022
[DOI] [Cite] [Code]

PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning

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^*
IEEE Transactions on Medical Imaging, 2022.
[DOI] [PDF] [Cite]

WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma

Chu Han, Xipeng Pan, Lixu Yan, Huan Lin, Bingbing Li, Su Yao, Shanshan Lv, Zhenwei Shi, Jinhai Mai, Jiatai Lin, Bingchao Zhao, Zeyan Xu, Zhizhen Wang, Yumeng Wang, Yuan Zhang, Huihui Wang, Chao Zhu, Ting Xia, Chunhui Lin, Lijian Mao, Min Wu, Luwen Duan, Jingsong Zhu, Dong Hu, Zijie Fang, Yang Chen, Yongbing Zhang, Yi Li, Yiwen Zou, Yiduo Yu, Xiaomeng Li, Haiming Li, Yanfen Cui, Guoqiang Han, Yan Xu, Jun Xu, Huihua Yang, Chunming Li, Zhenbing Liu, Cheng Lu, Xin Chen, Changhong Liang, Qingling Zhang, Zaiyi Liu
preprint, arXiv, 2022
[DOI] [Cite]

Multi-scale pathology image texture signature is a prognostic factor for resectable lung adenocarcinoma: a multi-center, retrospective study

Yumeng Wang^#, Xipeng Pan^#, Huan Lin^#, Chu Han^#, Yajun An, Bingjiang Qiu, Zhengyun Feng, Xiaomei Huang, Zeyan Xu, Zhenwei Shi, Xin Chen, Bingbing Li, Lixu Yan, Cheng Lu, Zhenhui Li, Yanfen Cui, Zaiyi Liu, Zhenbing Liu
Journal of Translational Medicine, 2022
[DOI]

Computerized tumor-infiltrating lymphocytes density score predicts survival of patients with resectable lung adenocarcinoma

Xipeng Pan^#, Huan Lin^#, Chu Han^#, Zhengyun Feng, Yumeng Wang, Jiatai Lin, Bingjiang Qiu, Liyu Yan, Bingbing Li, Zeyan Xu, Zhizhen Wang, Ke Zhao, Zhenbing Liu, Changhong Liang, Xin Chen, Zhenhui Li, Yanfen Cui, Cheng Lu, Zaiyi Liu
iScience, 2022
[DOI]

RestainNet: A self-supervised digital re-stainer for stain normalization

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^*
Computers & Electrical Engineering, 2022.
[DOI] [Cite]

SeqSeg: A sequential method to achieve nasopharyngeal carcinoma segmentation free from background dominance

Guihua Tao, Haojiang Li, Jiabin Huang, Chu Han, Jiazhou Chen, Guangying Ruan, Wenjie Huang, Yu Hu, Tingting Dan, Bin Zhang, Shengfeng He, Lizhi Liu, Hongmin Cai
Medical Image Analysis, 2022
[DOI]

——————————————————– 2021 ——————————————————–

Fusion of Multi-source Retinal Fundus Images via Automatic Registration for Clinical Diagnosis

Tingting Dan, Yu Hu, Chu Han, Zhihao Fan, Zhuobin Huang, Bin Zhang, Guihua Tao, Baoyi Liu, Honghua Yu^*, Hongmin Cai^*
Neurocomputing, 2021.
[DOI] [PDF] [Cite]

CNN-Based Fully Automatic Glioma Classification with Multi-modal Medical Images

Bingchao Zhao, Jia Huang, Changhong Liang, Zaiyi Liu and Chu Han^*
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2020, 2021.
[DOI] [PDF] [Cite]

Color correction and adaptive contrast enhancement for underwater image enhancement

Weidong Zhang, Xipeng Pan^*, Xiwang Xie, Lingqiao Li, Zimin Wang, Chu Han^*
Computers & Electrical Engineering, 2021.
[DOI]

Combining quantitative and qualitative magnetic resonance imaging features to differentiate anorectal malignant melanoma from low rectal cancer

Zeyan Xu, Ke Zhao, Lujun Han, Pinxiong Li, Zhenwei Shi, Xiaomei Huang, Chu Han, Huihui Wang, Minglei Chen, Chen Liu, Yanting Liang, Suyun Li, Yanqi Huang, Xin Chen, Changhong Liang, Wuteng Cao^*, Zaiyi Liu^*
Precision Clinical Medicine, 2021.
[DOI]

Development and validation of a CT-based radiomics nomogram for preoperative prediction of tumor histologic grade in gastric adenocarcinoma

Jia Huang^#, Huasheng Yao^#, Yexing Li, Mengyi Dong, Chu Han, Lan He, Xiaomei Huang, Ting Xia, Zongjian Yi, Huihui Wang, Yuan Zhang, Jian He, Changhong Liang, Zaiyi Liu^*
Chinese Journal of Cancer Research, 2021.
[DOI]

Fast Scene Labeling via Structural Inference

Huaidong Zhang, Chu Han, Xiaodan Zhang, Yong Du, Xuemiao Xu^*, Guoqiang Han, Jing Qin, Shengfeng He^*
Neurocomputing, 2021.
[DOI]

Tensor-based Low-rank and Graph Regularized Representation Learning for Multi-view Clustering

Haiyan Wang, Guoqiang Han, Bin Zhang, Yu Hu, Hong Peng, Chu Han, Hongmin Cai^*
IEEE International Conference on Bioinformatics and Biomedicine, 2021.
[DOI]

——————————————————– 2020 ——————————————————–

Video Snapshot Single Image Motion Expansion via Invertible Motion Embedding

Qianshu Zhu^#, Chu Han^#, Guoqiang Han, Tien-Tsin Wong, Shengfeng He^*
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
[DOI] [PDF] [Cite]

Triple U-net: Hematoxylin-aware Nuclei Segmentation with Progressive Dense Feature Aggregation

Bingchao Zhao^#, Xin Chen^#, Zhi Li^#, Zhiwen Yu^#, Su Yao, Lixu Yan, Yuqian Wang, Zaiyi Liu^*, Changhong Liang^*, Chu Han^*
Medical Image Analysis, 2020.
[DOI] [PDF] [Cite]

Transductive Zero-shot Action Recognition via Visually-connected Graph Convolutional Networks

Yangyang Xu^#, Chu Han^#, Jing Qin, Xuemiao Xu^*, Guoqiang Han, Shengfeng He^*
IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
[DOI] [PDF] [Cite]

TENet: Triple Excitation Network for Video Salient Object Detection

Sucheng Ren, Chu Han, Xin Yang, Guoqiang Han, Shengfeng He^*
European Conference on Computer Vision (spotlight paper, top 5%), 2020.
[PDF] [Cite] [Code]

Learning a Consensus Affinity Matrix for Multi-view Clustering via Subspaces Merging on Grassmann Manifold

Wentao Rong, Enhong Zhuo, Hong Peng, Jiazhou Chen, Haiyan Wang, Chu Han, Hongmin Cai^*
Information Sciences, 2020.
[DOI] [Cite]

——————————————————– 2019 ——————————————————–

Exploring Duality in Visual Questions Driven Top-Down Saliency

Shengfeng He, Chu Han^*, Guoqiang Han, Jing Qin
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
[DOI] [PDF] [Cite]

Deep Line Drawing Vectorization via Line Subdivision and Topology Reconstruction

Guo, Yi, Zhuming Zhang, Chu Han, Wenbo Hu, Chengze Li, and Tien-Tsin Wong^*
Computer Graphics Forum, 2019
Pacific Graphics 2019 Best Student Paper Award
[DOI] [PDF] [Cite]

Deep Binocular Tone Mapping

Zhuming Zhang, Chu Han, Shengfeng He, Xueting Liu, Xinghong Hu, Tien-Tsin Wong^*
The Visual Computer, 2019
[DOI] [PDF] [Cite]

Age Estimation via Attribute-region Association

Yiliang Chen, Shengfeng He^*, Zichang Tan, Chu Han, Guoqiang Han, and Jing Qin
Neurocomputing, 2019
[DOI] [PDF] [Cite]

A Learning-based Multimodel Intergrated Framework for Dynamic Traffic Flow Forecasting

Teng Zhou, Guoqiang Han, Xuemiao Xu^*, Chu Han, Yuchang Huang, Jing Qin
Neural Processing Letters, 2019
[DOI] [PDF] [Cite]

——————————————————– 2018 ——————————————————–

Deep Unsupervised Pixelization

Chu Han^#, Qiang Wen^#, Shengfeng He^*, Qianshu Zhu, Yinjie Tan, Guoqiang Han, Tien-Tsin Wong
ACM Transactions on Graphics (TOG), 2018
[DOI] [PDF] [Cite] [Code] [Supp] [Slides]

Example-based Colorization via Dense Encoding Pyramids

Chufeng Xiao^#, Chu Han^#, Zhuming Zhang, Jing Qin, Tien-Tsin Wong, Guoqiang Han, and Shengfeng He^*
Computer Graphics Forum (Pacific Graphics 2018), 2020
[DOI] [PDF] [Cite] [Code]

TransHist: Occlusion-robust Shape Detection in Cluttered Images

Chu Han, Xueting Liu, Lok-Tsun Sinn, Tien-Tsin Wong^*
Computational Visual Media, 2018
[DOI] [PDF] [Cite]

————————————————— Before 2017 —————————————————-

δ-agree Adaboost Stacked Autoencoder for Short-term Traffic Flow Forecasting

Teng Zhou, Guoqiang Han, Xuemiao Xu^*, Zhizhe Lin, Chu Han, Yuchang Huang, Jing Qin
Neurocomputing, 2017
[DOI] [PDF] [Cite]

Pyramid of arclength descriptor for generating collage of shapes

Kwan Kin Chung, Lok Tsun Sinn, Chu Han, Tien-Tsin Wong^*, and Chi-Wing Fu
ACM Transactions on Graphics (TOG), 2016
[DOI] [PDF] [Cite]