Design and Practical Implementation of a Novel Variable-Speed Generation System. - Mingming Shi; Bo Zhou 014; Jiadan Wei; Zhuoran Zhang 002; Yiran Mao; Chu Han (IEEE Trans. Ind. Electron., 2011)

Pyramid of arclength descriptor for generating collage of shapes. - Kin Chung Kwan; Lok Tsun Sinn; Chu Han; Tien-Tsin Wong; Chi-Wing Fu (ACM Trans. Graph., 2016)

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 001 (Neurocomputing, 2017)

TransHist: Occlusion-robust shape detection in cluttered images. - Chu Han; Xueting Liu 001; Lok Tsun Sinn; Tien-Tsin Wong (Comput. Vis. Media, 2018)

Deep unsupervised pixelization. - Chu Han; Qiang Wen; Shengfeng He; Qianshu Zhu; Yinjie Tan; Guoqiang Han; Tien-Tsin Wong (ACM Trans. Graph., 2018)

Deep Line Drawing Vectorization via Line Subdivision and Topology Reconstruction. - Yi Guo; Zhuming Zhang; Chu Han; Wenbo Hu; Chengze Li; Tien-Tsin Wong (Comput. Graph. Forum, 2019)

Age estimation via attribute-region association. - Yiliang Chen; Shengfeng He; Zichang Tan; Chu Han; Guoqiang Han; Jing Qin 001 (Neurocomputing, 2019)

A Learning-Based Multimodel Integrated Framework for Dynamic Traffic Flow Forecasting. - Teng Zhou; Guoqiang Han; Xuemiao Xu; Chu Han; Yuchang Huang; Jing Qin 001 (Neural Process. Lett., 2019)

Deep binocular tone mapping. - Zhuming Zhang; Chu Han; Shengfeng He; Xueting Liu 001; Haichao Zhu; Xinghong Hu; Tien-Tsin Wong (Vis. Comput., 2019)

Tensor-based Low-rank and Graph Regularized Representation Learning for Multi-view Clustering. - Haiyan Wang 005; Guoqiang Han; Bin Zhang 050; Yu Hu 004; Hong Peng; Chu Han; Hongmin Cai (BIBM, 2020)

CNN-Based Fully Automatic Glioma Classification with Multi-modal Medical Images. - Bingchao Zhao; Jia Huang; Changhong Liang; Zaiyi Liu; Chu Han (BrainLes@MICCAI (2), 2020)

TENet: Triple Excitation Network for Video Salient Object Detection. - Sucheng Ren; Chu Han; Xin Yang 011; Guoqiang Han; Shengfeng He (ECCV (5), 2020)

Coherence and Identity Learning for Arbitrary-length Face Video Generation. - Shuquan Ye; Chu Han; Jiaying Lin; Guoqiang Han; Shengfeng He (ICPR, 2020)

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

In silico design novel (5-imidazol-2-yl-4-phenylpyrimidin-2-yl)[2-(2-pyridylamino)ethyl]amine derivatives as inhibitors for glycogen synthase kinase 3 based on 3D-QSAR, molecular docking and molecular dynamics simulation. - Qingxiu He; Chu Han; Guangping Li 006; Haiqiong Guo; Yuxuan Wang; Yong Hu; Zhihua Lin; Yuanqiang Wang (Comput. Biol. Chem., 2020)

Example-Based Colourization Via Dense Encoding Pyramids. - Chufeng Xiao 001; Chu Han; Zhuming Zhang; Jing Qin 001; Tien-Tsin Wong; Guoqiang Han; Shengfeng He (Comput. Graph. Forum, 2020)

Triple U-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation. - Bingchao Zhao; Xin Chen 058; Zhi Li; Zhiwen Yu; Su Yao; Lixu Yan; Yuqian Wang; Zaiyi Liu; Changhong Liang; Chu Han (Medical Image Anal., 2020)

Exploring Duality in Visual Question-Driven Top-Down Saliency. - Shengfeng He; Chu Han; Guoqiang Han; Jing Qin 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Spatially-Invariant Style-Codes Controlled Makeup Transfer. - Han Deng; Chu Han; Hongmin Cai; Guoqiang Han; Shengfeng He (CVPR, 2021)

Reciprocal Learning for Semi-supervised Segmentation. - Xiangyun Zeng; Rian Huang; Yuming Zhong; Dong Sun; Chu Han; Di Lin 002; Dong Ni 001; Yi Wang 031 (MICCAI (2), 2021)

Color correction and adaptive contrast enhancement for underwater image enhancement. - Weidong Zhang 007; Xipeng Pan; Xiwang Xie; Lingqiao Li; Zimin Wang; Chu Han (Comput. Electr. Eng., 2021)

Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels. - Chu Han; Jiatai Lin; Jinhai Mai; Yi Wang 031; Qingling Zhang 006; Bingchao Zhao; Xin Chen 058; Xipeng Pan; Zhenwei Shi; Xiaowei Xu; Su Yao; Lixu Yan; et al. (CoRR, 2021)

PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning. - Jiatai Lin; Guoqiang Han; Xipeng Pan; Hao Chen 011; Danyi Li; Xiping Jia; Zhenwei Shi; Zhizhen Wang; Yanfen Cui; Haiming Li; Changhong Liang; Li Liang; et al. (CoRR, 2021)

Fusion of multi-source retinal fundus images via automatic registration for clinical diagnosis. - Tingting Dan; Yu Hu 004; Chu Han; Zhihao Fan; Zhuobin Huang; Bin Zhang 050; Guihua Tao; Baoyi Liu; Honghua Yu; Hongmin Cai (Neurocomputing, 2021)

Fast scene labeling via structural inference. - Huaidong Zhang; Chu Han; Xiaodan Zhang 003; Yong Du 003; Xuemiao Xu; Guoqiang Han; Jing Qin 001; Shengfeng He (Neurocomputing, 2021)

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 005; Chu Han; Hongmin Cai (Inf. Sci., 2021)

Learning task-driving affinity matrix for accurate multi-view clustering through tensor subspace learning. - Haiyan Wang 005; Guoqiang Han; Junyu Li 001; Bin Zhang 050; Jiazhou Chen; Yu Hu 004; Chu Han; Hongmin Cai (Inf. Sci., 2021)

Video Snapshot: Single Image Motion Expansion via Invertible Motion Embedding. - Qianshu Zhu; Chu Han; Guoqiang Han; Tien-Tsin Wong; Shengfeng He (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Transductive Zero-Shot Action Recognition via Visually Connected Graph Convolutional Networks. - Yangyang Xu; Chu Han; Jing Qin 001; Xuemiao Xu; Guoqiang Han; Shengfeng He (IEEE Trans. Neural Networks Learn. Syst., 2021)

Learning Pre- and Post-contrast Representation for Breast Cancer Segmentation in DCE-MRI. - Hong Wu; Yingwen Huo; Yupeng Pan; Zeyan Xu; Rian Huang; Yu Xie; Chu Han; Zaiyi Liu; Yi Wang 031 (CBMS, 2022)

RestainNet: A self-supervised digital re-stainer for stain normalization. - Bingchao Zhao; Chu Han; Xipeng Pan; Jiatai Lin; Zongjian Yi; Changhong Liang; Xin Chen 058; Bingbing Li; Weihao Qiu; Danyi Li; Li Liang; Ying Wang; et al. (Comput. Electr. Eng., 2022)

RestainNet: a self-supervised digital re-stainer for stain normalization. - Bingchao Zhao; Jiatai Lin; Changhong Liang; Zongjian Yi; Xin Chen 058; Bingbing Li; Weihao Qiu; Danyi Li; Li Liang; Chu Han; Zaiyi Liu (CoRR, 2022)

A Standardized Pipeline for Colon Nuclei Identification and Counting Challenge. - Jijun Cheng; Xipeng Pan; Feihu Hou; Bingchao Zhao; Jiatai Lin; Zhenbing Liu; Zaiyi Liu; Chu Han (CoRR, 2022)

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; et al. (CoRR, 2022)

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; et al. (CoRR, 2022)

Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels. - Chu Han; Jiatai Lin; Jinhai Mai; Yi Wang 031; Qingling Zhang 006; Bingchao Zhao; Xin Chen 058; Xipeng Pan; Zhenwei Shi; Zeyan Xu; Su Yao; Lixu Yan; et al. (Medical Image Anal., 2022)

Meta multi-task nuclei segmentation with fewer training samples. - Chu Han; Huasheng Yao; Bingchao Zhao; Zhenhui Li; Zhenwei Shi; Lei Wu; Xin Chen 058; Jinrong Qu; Ke Zhao; Rushi Lan; Changhong Liang; Xipeng Pan; et al. (Medical Image Anal., 2022)

SeqSeg: A sequential method to achieve nasopharyngeal carcinoma segmentation free from background dominance. - Guihua Tao; Haojiang Li; Jiabin Huang 007; Chu Han; Jiazhou Chen; Guangying Ruan; Wenjie Huang; Yu Hu 004; Tingting Dan; Bin Zhang 050; Shengfeng He; Lizhi Liu; et al. (Medical Image Anal., 2022)

PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning. - Jiatai Lin; Guoqiang Han; Xipeng Pan; Zaiyi Liu; Hao Chen 011; Danyi Li; Xiping Jia; Zhenwei Shi; Zhizhen Wang; Yanfen Cui; Haiming Li; Changhong Liang; et al. (IEEE Trans. Medical Imaging, 2022)

DBL-MPE: Deep Broad Learning for Prediction of Response to Neo-adjuvant Chemotherapy Using MRI-Based Multi-angle Maximal Enhancement Projection in Breast Cancer. - Zihan Cao; Zhenwei Shi; Xiaomei Huang; Chu Han; Xinyu Dong; Zhihe Zhao; Dan Wang; Peng Xu 004; Zaiyi Liu; Wenbin Liu (ICIC (3), 2023)

Fed-CSA: Channel Spatial Attention and Adaptive Weights Aggregation-Based Federated Learning for Breast Tumor Segmentation on MRI. - Xinyu Dong; Zhenwei Shi; Xiaomei Huang; Chu Han; Zihan Cao; Zhihe Zhao; Dan Wang; Peng Xu 004; Zaiyi Liu; Wenbin Liu (ICIC (3), 2023)

MsNet: Multi-stage Learning from Seldom Labeled Data for 3D Tooth Segmentation in Dental Cone Beam Computed Tomography. - Xuewei Kang; Bingjiang Qiu; Lisha Yao; Zhihong Chen; Chu Han; Zaiyi Liu (SemiToothSeg@MICCAI, 2023)

Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data. - Wenao Ma; Cheng Chen 013; Jill M. Abrigo; Calvin Hoi-Kwan Mak; Yuqi Gong; Nga Yan Chan; Chu Han; Zaiyi Liu; Qi Dou 001 (MICCAI (5), 2023)

FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification. - Tianpeng Deng; Yanqi Huang; Zhenwei Shi; Jiatai Lin; Qi Dou 001; Ke Zhao; Fang-Fang Liu; Yu-Mian Jia; Jin Wang; Bingchao Zhao; Changhong Liang; Zaiyi Liu; et al. (CoRR, 2023)

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (CoRR, 2023)

Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation. - Hao Wang; Jiatai Lin; Danyi Li; Jing Wang; Bingchao Zhao; Zhenwei Shi; Xipeng Pan; Huadeng Wang; Bingbing Li; Changhong Liang; Guoqiang Han; Li Liang; et al. (CoRR, 2023)

BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications. - Jiatai Lin; Guoqiang Han; Xuemiao Xu; Changhong Liang; Tien-Tsin Wong; C. L. Philip Chen; Zaiyi Liu; Chu Han (CoRR, 2023)

CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation. - Jianwei Lin; Jiatai Lin; Cheng Lu 001; Hao Chen 011; Huan Lin; Bingchao Zhao; Zhenwei Shi; Bingjiang Qiu; Xipeng Pan; Zeyan Xu; Biao Huang 008; Changhong Liang; et al. (IEEE Trans. Medical Imaging, 2023)

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; et al. (IEEE Trans. Medical Imaging, 2023)

Artificial intelligence-quantified tumour-lymphocyte spatial interaction predicts disease-free survival in resected lung adenocarcinoma: A graph-based, multicentre study. - Zhengyun Feng; Huan Lin; Zaiyi Liu; Lixu Yan; Yumeng Wang; Bingbing Li; Entao Liu; Chu Han; Zhenwei Shi; Cheng Lu 001; Zhenbing Liu; Cheng Pang; et al. (Comput. Methods Programs Biomed., 2023)

Joint-phase attention network for breast cancer segmentation in DCE-MRI. - Rian Huang; Zeyan Xu; Yu Xie; Hong Wu; Zixian Li; Yanfen Cui; Yingwen Huo; Chu Han; Xiaotang Yang; Zaiyi Liu; Yi Wang 031 (Expert Syst. Appl., 2023)

SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotations. - Xipeng Pan; Jijun Cheng; Feihu Hou; Rushi Lan; Cheng Lu 001; Lingqiao Li; Zhengyun Feng; Huadeng Wang; Changhong Liang; Zhenbing Liu; Xin Chen 058; Chu Han; et al. (Medical Image Anal., 2023)

A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework. - Jiadong Zhang; Zhiming Cui; Zhenwei Shi; Yingjia Jiang; Zhiliang Zhang; Xiaoting Dai; Zhenlu Yang; Yuning Gu; Lei Zhou 003; Chu Han; Xiaomei Huang; Chenglu Ke; et al. (Patterns, 2023)

SS-WSSS: Small-Scale Weakly Supervised Semantic Segmentation for Histopathology Image. - Jiatai Lin; Guoqiang Han; Jingxuan Zhou; Zhenwei Shi; Zaiyi Liu; Chu Han (BIBM, 2024)

DBrAL: A Novel Uncertainty-Based Active Learning Based on Deep-Broad Learning for Medical Image Classification. - Hongjiang Wu; Yuping Zhong; Guoqiang Han; Jiatai Lin; Zaiyi Liu; Chu Han (ICANN (8), 2024)

Active Learning by Feature Perturbation for Medical Image Classification. - Yuping Zhong; Guoqiang Han; Zhenwei Shi; Zaiyi Liu; Chu Han; Jiatai Lin (ICONIP (4), 2024)

ALIEN: Attention-guided cross-resolution collaborative network for 3D gastric cancer segmentation in CT images. - Zhihong Chen; Lisha Yao; Yanfen Cui; Yunlin Zheng; Suyun Li; Xiaorui Han; Xuewei Kang; Wenbin Liu; Xin Chen 058; Chu Han; Zaiyi Liu; Bingjiang Qiu; et al. (Biomed. Signal Process. Control., 2024)

FedDUS: Lung tumor segmentation on CT images through federated semi-supervised with dynamic update strategy. - Dan Wang; Chu Han; Zhen Zhang 058; Tiantian Zhai; Huan Lin; Baoyao Yang; Yanfen Cui; Yinbing Lin; Zhihe Zhao; Lujun Zhao; Changhong Liang; An Zeng; et al. (Comput. Methods Programs Biomed., 2024)

iMD4GC: Incomplete Multimodal Data Integration to Advance Precise Treatment Response Prediction and Survival Analysis for Gastric Cancer. - Fengtao Zhou; Yingxue Xu; Yanfen Cui; Shenyan Zhang; Yun Zhu; Weiyang He; Jiguang Wang; Xin Wang; Ronald Chan; Louis Ho Shing Lau; Chu Han; Dafu Zhang; et al. (CoRR, 2024)

SwinHR: Hemodynamic-powered hierarchical vision transformer for breast tumor segmentation. - Zhihe Zhao; Siyao Du; Zeyan Xu; Zhi Yin; Xiaomei Huang; Xin Huang; Chinting Wong; Yanting Liang; Jing Shen; Jianlin Wu; Jinrong Qu; Lina Zhang; et al. (Comput. Biol. Medicine, 2024)

Protecting Prostate Cancer Classification From Rectal Artifacts via Targeted Adversarial Training. - Lei Hu 002; Dawei Zhou 004; Jiahua Xu; Cheng Lu 001; Chu Han; Zhenwei Shi; Qikui Zhu; Xinbo Gao 001; Nannan Wang 001; Zaiyi Liu (IEEE J. Biomed. Health Informatics, 2024)

FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification. - Tianpeng Deng; Yanqi Huang; Guoqiang Han; Zhenwei Shi; Jiatai Lin; Qi Dou 001; Zaiyi Liu; Xiao-jing Guo; C. L. Philip Chen; Chu Han (IEEE Trans. Cybern., 2024)

CroMAM: A Cross-Magnification Attention Feature Fusion Model for Predicting Genetic Status and Survival of Gliomas Using Histological Images. - Jisen Guo; Peng Xu 004; Yuankui Wu; Yunyun Tao; Chu Han; Jiatai Lin; Ke Zhao; Zaiyi Liu; Wenbin Liu; Cheng Lu 001 (IEEE J. Biomed. Health Informatics, 2024)

Weakly Supervised Gland Segmentation with Class Semantic Consistency and Purified Labels Filtration. - Siyang Feng; Huadeng Wang; Chu Han; Zhenbing Liu; Hualong Zhang; Rushi Lan; Xipeng Pan (AAAI, 2025)

Rethinking mitosis detection: Towards diverse data and feature representation for better domain generalization. - Jiatai Lin; Hao Wang; Danyi Li; Jing Wang; Bingchao Zhao; Zhenwei Shi; Changhong Liang; Guoqiang Han; Li Liang; Zaiyi Liu; Chu Han (Artif. Intell. Medicine, 2025)

Uncertainty-guided cross teaching semi-supervised framework for histopathology image segmentation with curriculum self-training. - Rui Xu; Nan Zhou; Siyang Feng; Zhenbing Liu; Huahu Deng; Yajun An; Jian Li; Chu Han; Zaiyi Liu; Rushi Lan; Cheng Lu 001; Xipeng Pan (Appl. Soft Comput., 2025)

Data-efficient federated semi-supervised learning framework via pseudo supervision refinement strategy for lung tumor segmentation. - Weixing Li; Xipeng Pan; Zhen Zhang 058; Guangyao Wu; Guanchao Ye; Leonard Wee; Andre Dekker; Chu Han; Lei Shi; Zaiyi Liu; Zhenbing Liu; Zhenwei Shi (Biomed. Signal Process. Control., 2025)

Bounding boxes for weakly-supervised breast cancer segmentation in DCE-MRI. - Yuming Zhong; Zeyan Xu; Chu Han; Zaiyi Liu; Yi Wang 031 (Biomed. Signal Process. Control., 2025)

Weakly supervised histopathology tissue semantic segmentation with multi-scale voting and online noise suppression. - Xipeng Pan; Hualong Zhang; Huahu Deng; Huadeng Wang; Lingqiao Li; Zhenbing Liu; Lin Wang; Yajun An; Cheng Lu 001; Zaiyi Liu; Chu Han; Rushi Lan (Eng. Appl. Artif. Intell., 2025)

Multi-phase feature-aligned fusion model for automated colorectal cancer segmentation in contrast-enhanced CT scans. - Xuewei Kang; Lisha Yao; Yanqi Huang; Suyun Li; Zhihong Chen; Zhanzhu Lin; Bingjiang Qiu; Chu Han; Yun Mao; Zaiyi Liu; Xin Chen 058 (Expert Syst. Appl., 2025)

Label-efficient transformer-based framework with self-supervised strategies for heterogeneous lung tumor segmentation. - Zhenbing Liu; Weixing Li; Yanfen Cui; Xin Chen 058; Xipeng Pan; Guanchao Ye; Guangyao Wu; Yongde Liao; Leroy Volmer; Leonard Wee; Andre Dekker; Chu Han; et al. (Expert Syst. Appl., 2025)

Towards Computation- and Communication-efficient Computational Pathology. - Chu Han; Bingchao Zhao; Jiatai Lin; Shanshan Lyu; Longfei Wang; Tianpeng Deng; Cheng Lu 001; Changhong Liang; Hannah Y. Wen; Xiaojing Guo; Zhenwei Shi; Zaiyi Liu (CoRR, 2025)

A Colorectal Coordinate-Driven Method for Colorectum and Colorectal Cancer Segmentation in Conventional CT Scans. - Lisha Yao; Yingda Xia; Zhihong Chen; Suyun Li; Jiawen Yao; Dakai Jin; Yanting Liang; Jiatai Lin; Bingchao Zhao; Chu Han; Le Lu 001; Ling Zhang 002; et al. (IEEE Trans. Neural Networks Learn. Syst., 2025)

FedBCD: Federated Ultrasound Video and Image Joint Learning for Breast Cancer Diagnosis. - Tianpeng Deng; Chunwang Huang; Ming Cai; Yu Liu; Min Liu; Jiatai Lin; Zhenwei Shi; Bingchao Zhao; Jingqi Huang; Changhong Liang; Guoqiang Han; Zaiyi Liu; et al. (IEEE Trans. Medical Imaging, 2025)