Modified Evolution Strategy Based Identification of Multi-input Single-Output Wiener-Hammerstein Model. - Jing Ke; Chengjin Zhang; Yizheng Qiao (ICNC (4), 2007)

Efficient GPU Computing Framework of Cloud Filtering in Remotely Sensed Image Processing. - Jing Ke; Arcot Sowmya; Yi Guo 001; Tomasz Bednarz; Michael Buckley (DICTA, 2016)

Optimized GPU implementation for dynamic programming in image data processing. - Jing Ke; Tomasz Bednarz; Arcot Sowmya (IPCCC, 2016)

A Fast Approximate Spectral Unmixing Algorithm Based on Segmentation. - Jing Ke; Yi Guo 001; Arcot Sowmya (CVPR Workshops, 2017)

A performance acceleration algorithm of spectral unmixing via subset selection. - Jing Ke; Yi Guo 001; Arcot Sowmya; Tomasz Bednarz (ESANN, 2017)

Approximate Random Dropout. - Zhuoran Song; Dongyu Ru; Ru Wang 002; Hongru Huang; Zhenghao Peng; Jing Ke; Xiaoyao Liang; Li Jiang 002 (CoRR, 2018)

Design and Implementation of Time Synchronization Experimental System for Wireless Sensor Networks. - Sheng Tang; Jing Ke; Zunzun Li; Pengfei Dong (Int. J. Online Eng., 2018)

Parallel Computing and Performance Optimisation in Remotely Sensed Image Processing. - Jing Ke (2018)

HUBPA: high utilization bidirectional pipeline architecture for neuromorphic computing. - Houxiang Ji; Li Jiang 002; Tianjian Li; Naifeng Jing; Jing Ke; Xiaoyao Liang (ASP-DAC, 2019)

A sharing-aware L1.5D cache for data reuse in GPGPUs. - Jianfei Wang; Li Jiang 002; Jing Ke; Xiaoyao Liang; Naifeng Jing (ASP-DAC, 2019)

Assessment and Elimination of Inflammatory Cell: A Machine Learning Approach in Digital Cytology. - Jing Ke; Junwei Deng; Yizhou Lu; Dadong Wang; Yang Song 001; Huijuan Zhang (DICTA, 2019)

Selective Detection and Segmentation of Cervical Cells. - Jing Ke; Zhaoming Jiang; Changchang Liu; Tomasz Bednarz; Arcot Sowmya; Xiaoyao Liang (ICBBT, 2019)

Noise reduction with image inpainting: an application in clinical data diagnosis. - Jing Ke; Junwei Deng; Yizhou Lu (SIGGRAPH Posters, 2019)

A Frequency Multiplication Method Based on Extracting Harmonic From Narrow Pulse. - Mei Zhou; Sheng Tang; Wenli Wang; Jing Ke; Zhouhu Deng (IEEE Access, 2019)

An Accurate Neural Network for Cytologic Whole-Slide Image Analysis. - Junwei Deng; Yizhou Lu; Jing Ke (ACSW, 2020)

FIMIL : A high-throughput deep learning model for abnormality detection with weak annotation in microscopy images. - Jing Ke; Changchang Liu; Yizhou Lu; Naifeng Jing; Xiaoyao Liang; Fusong Jiang (ACSW, 2020)

A High-Throughput Tumor Location System with Deep Learning for Colorectal Cancer Histopathology Image. - Jing Ke; Yiqing Shen 003; Yi Guo 001; Jason D. Wright; Naifeng Jing; Xiaoyao Liang (AIME, 2020)

Identifying patch-level MSI from histological images of Colorectal Cancer by a Knowledge Distillation Model. - Jing Ke; Yiqing Shen 003; Jason D. Wright; Naifeng Jing; Xiaoyao Liang; Dinggang Shen (BIBM, 2020)

GPNPU: Enabling Efficient Hardware-Based Direct Convolution with Multi-Precision Support in GPU Tensor Cores. - Zhuoran Song; Jianfei Wang; Tianjian Li; Li Jiang 002; Jing Ke; Xiaoyao Liang; Naifeng Jing (DAC, 2020)

A Prediction Model of Microsatellite Status from Histology Images. - Jing Ke; Yiqing Shen 003; Yi Guo 001; Jason D. Wright; Xiaoyao Liang (ICBET, 2020)

Fast Tumor Detector in Whole-Slide Image With Dynamic Programing Based Monte Carlo Sampling. - Jing Ke; Yiqing Shen 003; Yi Guo 001; Xiaoyao Liang (ICIP, 2020)

A Deformable CRF Model for Histopathology Whole-Slide Image Classification. - Yiqing Shen 003; Jing Ke (MICCAI (5), 2020)

VR-DANN: Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration. - Zhuoran Song; Feiyang Wu; Xueyuan Liu 001; Jing Ke; Naifeng Jing; Xiaoyao Liang (MICRO, 2020)

Navigation Signal Design and Ranging Performance Evaluation of Cn Band Based on Satellite-to-Ground Link. - Xiaofei Chen; Xue Wang; Xiaochun Lu; Jing Ke; Xia Guo (MLIS, 2020)

Cluster Image Patches with Multiple Mutual Information in Unlabelled Whole-Slide Image. - Yiqing Shen 003; Yizhou Lu; Yulin Luo; Jing Ke (BIBM, 2021)

Su-Sampling Based Active Learning For Large-Scale Histopathology Image. - Yiqing Shen 003; Jing Ke (ICIP, 2021)

Representative Region Based Active Learning For Histological Classification Of Colorectal Cancer. - Yiqing Shen 003; Jing Ke (ISBI, 2021)

Style Normalization In Histology With Federated Learning. - Jing Ke; Yiqing Shen 003; Yizhou Lu (ISBI, 2021)

PIPArch: Programmable Image Processing Architecture Using Sliding Array. - Feiyang Wu; Zhuoran Song; Jing Ke; Li Jiang 002; Naifeng Jing; Xiaoyao Liang (ISPA/BDCloud/SocialCom/SustainCom, 2021)

CA2.5-Net Nuclei Segmentation Framework with a Microscopy Cell Benchmark Collection. - Jinghan Huang 002; Yiqing Shen 003; Dinggang Shen; Jing Ke (MICCAI (8), 2021)

Contrastive Learning Based Stain Normalization Across Multiple Tumor in Histopathology. - Jing Ke; Yiqing Shen 003; Xiaoyao Liang; Dinggang Shen (MICCAI (8), 2021)

Multiple-datasets and multiple-label based color normalization in histopathology with cGAN. - Jing Ke; Yiqing Shen 003; Xinyu Jiang; Yi Guo 001; Yaobing Chen; Xiaoyao Liang (Digital Pathology, 2021)

RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization. - Yiqing Shen 003; Yulin Luo; Dinggang Shen; Jing Ke (MICCAI (2), 2022)

CellSegNet: an adaptive multi-resolution hybrid network for cell segmentation. - Junwei Deng; Yiqing Shen 003; Yi Guo 001; Jing Ke (Digital and Computational Pathology, 2022)

Sampling Based Tumor Recognition in Whole-Slide Histology Image With Deep Learning Approaches. - Yiqing Shen 003; Jing Ke (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Identify Representative Samples by Conditional Random Field of Cancer Histology Images. - Yiqing Shen 003; Dinggang Shen; Jing Ke (IEEE Trans. Medical Imaging, 2022)

HistDeblur: A Pyramid Trustworthy Framework for Blurry Histologic Artifacts Quality Control. - Yuxiang Sun; Kai Liu 034; Yiqing Shen 003; Xiaodan Han; Jing Ke (BIBM, 2023)

PRF: A Fast Parallel Relaxed Flooding Algorithm for Voronoi Diagram Generation on GPU. - Jue Wang; Fumihiko Ino; Jing Ke (IPDPS, 2023)

COVID-19 Pneumonia Classification with Transformer from Incomplete Modalities. - Eduard Lloret Carbonell; Yiqing Shen 003; Xin Yang; Jing Ke (MICCAI (5), 2023)

TransNuSeg: A Lightweight Multi-task Transformer for Nuclei Segmentation. - Zhenqi He; Mathias Unberath; Jing Ke; Yiqing Shen 003 (MICCAI (4), 2023)

StainDiff: Transfer Stain Styles of Histology Images with Denoising Diffusion Probabilistic Models and Self-ensemble. - Yiqing Shen 003; Jing Ke (MICCAI (6), 2023)

A General Computationally-Efficient 3D Reconstruction Pipeline for Multiple Images with Point Clouds. - Qingyang Wu; Yiqing Shen 003; Jing Ke (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

An Anti-biased TBSRTC-Category Aware Nuclei Segmentation Framework with a Multi-label Thyroid Cytology Benchmark. - Junchao Zhu; Yiqing Shen 003; Haolin Zhang; Jing Ke (MICCAI (6), 2023)

A Federated Learning System for Histopathology Image Analysis With an Orchestral Stain-Normalization GAN. - Yiqing Shen 003; Arcot Sowmya; Yulin Luo; Xiaoyao Liang; Dinggang Shen; Jing Ke (IEEE Trans. Medical Imaging, 2023)

ClusterSeg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets. - Jing Ke; Yizhou Lu; Yiqing Shen 003; Junchao Zhu; Yijin Zhou; Jinghan Huang 002; Jieteng Yao; Xiaoyao Liang; Yi Guo 001; Zhonghua Wei; Sheng Liu; Qin Huang; et al. (Medical Image Anal., 2023)

Mine local homogeneous representation by interaction information clustering with unsupervised learning in histopathology images. - Jing Ke; Yiqing Shen 003; Yizhou Lu; Yi Guo 001; Dinggang Shen (Comput. Methods Programs Biomed., 2023)

Artifact Detection and Restoration in Histology Images With Stain-Style and Structural Preservation. - Jing Ke; Kai Liu 034; Yuxiang Sun; Yuying Xue; Jiaxuan Huang; Yizhou Lu; Jun Dai; Yaobing Chen; Xiaodan Han; Yiqing Shen 003; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

A Hierarchical Graph V-Net With Semi-Supervised Pre-Training for Histological Image Based Breast Cancer Classification. - Yonghao Li; Yiqing Shen 003; Jiadong Zhang; Shujie Song; Zhenhui Li; Jing Ke; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

Virtual Doctor: The role, responsibilities, and counterparts of the general medical AI. - Eduard Lloret Carbonell; Jiaxuan Huang; Yiqing Shen 003; Jing Ke (BIBM, 2024)

Diffimpute: Tabular Data Imputation with Denoising Diffusion Probabilistic Model. - Yizhu Wen; Yiwei Wang; Kai Yi; Jing Ke; Yiqing Shen 003 (ICME, 2024)

DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model. - Yizhu Wen; Kai Yi; Jing Ke; Yiqing Shen 003 (CoRR, 2024)

A Survey for Large Language Models in Biomedicine. - Chong Wang; Mengyao Li; Junjun He; Zhongruo Wang; Erfan Darzi; Zan Chen; Jin Ye 002; Tianbin Li; Yanzhou Su; Jing Ke; Kaili Qu; Shuxin Li; et al. (CoRR, 2024)

Generating Event-oriented Attribution for Movies via Two-Stage Prefix-Enhanced Multimodal LLM. - Yuanjie Lyu; Tong Xu 001; Zihan Niu; Bo Peng; Jing Ke; Enhong Chen (CoRR, 2024)

RandStainNA++: Enhance Random Stain Augmentation and Normalization Through Foreground and Background Differentiation. - Chong Wang; Shuxin Li; Jing Ke; Chen Zhang; Yiqing Shen 003 (IEEE J. Biomed. Health Informatics, 2024)

Exploiting Geometric Features via Hierarchical Graph Pyramid Transformer for Cancer Diagnosis Using Histopathological Images. - Mingxin Liu; Yunzan Liu; Pengbo Xu; Hui Cui 002; Jing Ke; Jiquan Ma (IEEE Trans. Medical Imaging, 2024)

Learnable color space conversion and fusion for stain normalization in pathology images. - Jing Ke; Yijin Zhou; Yiqing Shen 003; Yi Guo 001; Ning Liu; Xiaodan Han; Dinggang Shen (Medical Image Anal., 2025)