Existence and stability of global solution for generalized Hopfield neural network system. - Qiming He; Lishan Kang (Neural Parallel Sci. Comput., 1994)

The Domain Decomposition Method for Multidimensional and Large Scale Nonlinear Systems - Case of Subdomains Overlapping. - Qiming He; Lishan Kang (Parallel Algorithms Appl., 1994)

Finite difference method for generalized Hopfield neural network model. - Qiming He; Hongsong Zhou (Neural Parallel Sci. Comput., 1995)

Symmetric Domain Decomposition Method for Large Scale and Nonlinear Evolution Systems. - Qiming He; David J. Evans 001 (Parallel Algorithms Appl., 1995)

Schwarz algorithm for nonlinear generalized schrödinger systems - complete discrete problem. - Qiming He; Lishan Kang (Int. J. Comput. Math., 1996)

Monotone-Schwarz parallel algorithm for nonlinear elliptic equations. - Qiming He; David J. Evans 001; Lishan Kang (Neural Parallel Sci. Comput., 1996)

Monotone-schwarz Parallel Algorithm for Nonlinear Elliptic Equations*. - Qiming He; David J. Evans 001 (Parallel Algorithms Appl., 1996)

Million Module Neural Systems Evolution - The Next Step in ATR's Billion Neuron Artificial Brain ("CAM-Brain") Project. - Hugo de Garis; Lishan Kang; Qiming He; Zhengjun Pan; Masahiro Ootani; Edmund M. A. Ronald (Artificial Evolution, 1997)

Schwarz domain decomposition method for multidimensional and nonlinear parabolic equations: multidimensional subdomains with overlaps. - Qiming He; David J. Evans 001; Lishan Kang (Int. J. Comput. Math., 1997)

Convergence and stability of the finite difference scheme for nonlinear parabolic systems with time delay. - Qiming He; Lishan Kang; David J. Evans 001 (Numer. Algorithms, 1997)

Case study for running HPC applications in public clouds. - Qiming He; Shujia Zhou; Ben Kobler; Daniel C. Duffy; Tom McGlynn (HPDC, 2010)

Analysis of a continuous time SM[K]/PH[K]/1/FCFS queue: Age process, sojourn times, and queue lengths. - Qiming He (J. Syst. Sci. Complex., 2012)

A virtual capture framework for assembly tasks. - Damien Petit; Ixchel Georgina Ramirez-Alpizar; Qiming He; Kensuke Harada (CASE, 2018)

Realizing an assembly task through virtual capture. - Damien Petit; Ixchel Georgina Ramirez-Alpizar; Wataru Kamei; Qiming He; Kensuke Harada (SMC, 2019)

A unified hybrid compact model of β-Ga2O3 Schottky barrier diodes for mixer and rectifier applications. - Kai Zhou; Qiming He; Guangzhong Jian; Guangwei Xu; Feihong Wu; Yao Li; Zhuangzhuang Hu; Qian Feng; Xiaolong Zhao; Shibing Long (Sci. China Inf. Sci., 2021)

Fourier ViT: A Multi-scale Vision Transformer with Fourier Transform for Histopathological Image Classification. - Hufei Duan; Yiqing Liu; Hui Yan; Qiming He; Yonghong He; Tian Guan (CACRE, 2022)

DEST: Deep Enhanced Swin Transformer Toward Better Scoring for NAFLD. - Renao Yan; Qiming He; Yiqing Liu; Jizhou Gou; Qiehe Sun; Guangde Zhou; Yonghong He; Tian Guan (PRCV (2), 2022)

Using Sparse Patch Annotation for Tumor Segmentation in Histopathological Images. - Yiqing Liu; Qiming He; Hufei Duan; Huijuan Shi; Anjia Han; Yonghong He (Sensors, 2022)

Glomerular Lesion Recognition Based on Pathology Images With Annotation Noise via Noisy Label Learning. - Jing Li; Qiming He; Yiqing Liu; Yanxia Wang; Tian Guan; Jing Ye; Yonghong He; Zhe Wang 043 (IEEE Access, 2023)

Expression site agnostic histopathology image segmentation framework by self supervised domain adaption. - Qiming He; Ling He; Hufei Duan; Qiehe Sun; Runliang Zheng; Jian Guan; Yonghong He; Wenting Huang; Tian Guan (Comput. Biol. Medicine, 2023)

Unsupervised domain adaptive tumor region recognition for Ki67 automated assisted quantification. - Qiming He; Yiqing Liu; Feiyang Pan; Hufei Duan; Jian Guan; Zhendong Liang; Hui Zhong; Xing Wang; Yonghong He; Wenting Huang; Tian Guan (Int. J. Comput. Assist. Radiol. Surg., 2023)

Unpaired virtual histological staining using prior-guided generative adversarial networks. - Renao Yan; Qiming He; Yiqing Liu; Peng Ye; Lianghui Zhu; Shanshan Shi; Jizhou Gou; Yonghong He; Tian Guan; Guangde Zhou (Comput. Medical Imaging Graph., 2023)

Global attention based GNN with Bayesian collaborative learning for glomerular lesion recognition. - Qiming He; Shuang Ge; Siqi Zeng 002; Yanxia Wang; Jing Ye; Yonghong He; Jing Li; Zhe Wang 043; Tian Guan (Comput. Biol. Medicine, 2024)

Identifying and matching 12-level multistained glomeruli via deep learning for diagnosis of glomerular diseases. - Qiming He; Siqi Zeng 002; Shuang Ge; Yanxia Wang; Jing Ye; Yonghong He; Tian Guan; Zhe Wang 043; Jing Li (Int. J. Imaging Syst. Technol., 2024)

Registration-enhanced multiple instance learning for cervical cancer whole slide image classification. - Qiming He; Chengjiang Wang; Siqi Zeng 002; Zhendong Liang; Hufei Duan; Jingying Yang; Feiyang Pan; Yonghong He; Wenting Huang; Tian Guan (Int. J. Imaging Syst. Technol., 2024)

A Deep Learning Method Enables Quantitative and Automatic Measurement of Rat Liver Histology in NAFLD. - Yuqiu Fu; Deyue Zang; Baiyou Lin; Qiming He; Yujie Xie; Baoliang Zhang; Yao Liu; Yi Jin; Yonghong He; Tian Guan (Int. J. Imaging Syst. Technol., 2024)

COREMIL: Contextual Position Encoding-based Retrievable Multiple Instance Learning for Slide-level Classification. - Bingchen Li; Qiming He; Junru Cheng; Tian Guan; Yonghong He; Guangde Zhou (ICASSP, 2025)

OCDet: A comprehensive ovarian cell detection model with channel attention on immunohistochemical and morphological pathology images. - Jing Peng; Qiming He; Chen Wang; Zijun Wang; Siqi Zeng 002; Qiang Huang; Tian Guan; Yonghong He; Congrong Liu (Comput. Biol. Medicine, 2025)

Entity-level multiple instance learning for mesoscopic histopathology images classification with Bayesian collaborative learning and pathological prior transfer. - Qiming He; Yingming Xu; Qiang Huang; Jing Li; Yonghong He; Zhe Wang 043; Tian Guan (Comput. Medical Imaging Graph., 2025)

Hierarchical hybrid prior-knowledge guided cervical cell classification. - Fan Yang 118; Bo Yang; Qiming He; Lili Ji; Yihui Yang; Tian Guan; Hongping Tang (Neurocomputing, 2025)

Unveiling pathology-related predictive uncertainty of glomerular lesion recognition using prototype learning. - Qiming He; Yingming Xu; Qiang Huang; Yanxia Wang; Jing Ye; Yonghong He; Jing Li; Lianghui Zhu; Zhe Wang 043; Tian Guan (J. Biomed. Informatics, 2025)

Unsupervised stain augmentation enhanced glomerular instance segmentation on pathology images. - Fan Yang 118; Qiming He; Yanxia Wang; Siqi Zeng 002; Yingming Xu; Jing Ye; Yonghong He; Tian Guan; Zhe Wang 043; Jing Li (Int. J. Comput. Assist. Radiol. Surg., 2025)

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology. - Lianghui Zhu; Xitong Ling; Minxi Ouyang; Xiaoping Liu; Mingxi Fu; Tian Guan; Fanglei Fu; Xuanyu Wang; Maomao Zeng; Mingxi Zhu; Yibo Jin 008; Liming Liu; et al. (CoRR, 2025)

Toward efficient slide-level grading of liver biopsy via explainable deep learning framework. - Bingchen Li; Qiming He; Jing Chang; Bo Yang; Xi Tang; Yonghong He; Tian Guan; Guangde Zhou (Medical Biol. Eng. Comput., 2025)

Hierarchically Optimized Multiple Instance Learning With Multi-Magnification Pathological Images for Cerebral Tumor Diagnosis. - Lianghui Zhu; Renao Yan; Tian Guan; Fenfen Zhang; Linlang Guo; Qiming He; Shanshan Shi; Huijuan Shi; Yonghong He; Anjia Han (IEEE J. Biomed. Health Informatics, 2025)