Generalized system function analysis of resonant behavior of electromagnetic open systems. - Long Li 003; Haixia Liu; Yan Shi 001; Changhong Liang (Sci. China Ser. F Inf. Sci., 2005)

Analysis of Large-Scale Periodic Array Antennas by CG-FFT Combined with Equivalent Sub-Array Preconditioner. - Huiqing Zhai; Qiang Chen 001; Qiaowei Yuan; Kunio Sawaya; Changhong Liang (IEICE Trans. Commun., 2006)

The finite-volume time-domain algorithm using least square method in solving Maxwell's equations. - Yan Shi; Changhong Liang (J. Comput. Phys., 2007)

Application of the Spatial-Spectral CG-FFT Method for the Solution of Electromagnetic Scattering by Buried Flat Metallic Objects. - Yan Shi; Changhong Liang (IEEE Geosci. Remote. Sens. Lett., 2007)

Parallel Computation of Complex Antennas around the Coated Object Using Iterative Vector Fields Technique. - Ying Yan; Xunwang Zhao; Yu Zhang; Changhong Liang; Zhewang Ma (IEICE Trans. Electron., 2014)

Dense Encoder-Decoder Network based on Two-Level Context Enhanced Residual Attention Mechanism for Segmentation of Breast Tumors in Magnetic Resonance Imaging. - Ying Gao 004; Yin Zhao; Xiongwen Luo 001; Xiping Hu; Changhong Liang (BIBM, 2019)

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)

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)

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)

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)

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)

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)

A Dual-Path Supplemental Information Learning Architecture for Breast Cancer Ki-67 Status Prediction in T2w MRI. - Wentian Cai; Yulin Cheng; Ying Gao 004; Weixiao Liu; Xinyan Xie; Xiongwen Luo 001; Weixian Yang; Zaiyi Liu; Changhong Liang (ICME, 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)

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)

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)

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)

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)

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)

Annotation-free method for breast tumour segmentation in dynamic contrast-enhanced MRI. - Jiahui He; Junjie Zhang; Xu Huang; Yue Liu; Jiayi Liao; Yanfen Cui; Wenbin Liu; Changhong Liang; Zaiyi Liu; Lei Wu; Gang Fang (Biomed. Signal Process. Control., 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)

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)