Jing Ke - RankMe

67 papers A* 2A 2B 4C 1Misc 2Journal 24Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A content-aware variable-rate framework for pathology learned image compression (PathoLIC). Medical Image Anal. Weiqi Li, Yonghao Li, Haoyuan Chen, Long Yang, Lin Wu, Zhenhui Li, Jing Ke, Dinggang Shen
2026	J	`jnl`	DiffM IEEE J. Biomed. Health Informatics Wen Ye, Zhetao Guo, Yuxiang Ren, Yi Tian, Yushi Shen, Zan Chen, Junjun He, Jing Ke, Yiqing Shen
2026	—	`conf`	To Paraphrase or Not: Efficient Comment Detoxification with Unsupervised Detoxifiability Discrimination. EACL (Volume 2: Short Papers) Jing Ke, Zheyong Xie, Shaosheng Cao, Tong Xu, Enhong Chen
2025	J	`jnl`	A survey for large language models in biomedicine. Artif. Intell. Medicine Chong Wang, Mengyao Li, Junjun He, Zhongruo Wang, Erfan Darzi, Zan Chen, Jin Ye, Tianbin Li, Yanzhou Su, Jing Ke, Kaili Qu, Shuxin Li, Yi Yu, Pietro Liò, Tianyun Wang, Yu Guang Wang, Yiqing Shen
2025	—	`conf`	Discovering Optimal Virtual Staining Templates for Pathology Image Analysis via Physics-Inspired Particle Swarm Optimization. BIBM Yiqing Shen, Yuying Xue, Jing Ke
2025	J	`jnl`	Ethics of Foundation Models in Computational Pathology: Overview of Contemporary Issues and Future Implications. IEEE Trans. Medical Imaging Rui Fei Du, Eduard Lloret Carbonell, Jiaxuan Huang, Sheng Liu, Xiaohang Wang, Dinggang Shen, Jing Ke
2025	—	`conf`	Generating Event-Oriented Attribution for Movies via Two-Stage Prefix-Enhanced Multimodal LLM. KSEM (4) Yuanjie Lyu, Tong Xu, Zihan Niu, Bo Peng, Jing Ke
2025	J	`jnl`	Learnable color space conversion and fusion for stain normalization in pathology images. Medical Image Anal. Jing Ke, Yijin Zhou, Yiqing Shen, Yi Guo, Ning Liu, Xiaodan Han, Dinggang Shen
2025	J	`jnl`	SegAnyPath: A Foundation Model for Multi- Resolution Stain-Variant and Multi-Task Pathology Image Segmentation. IEEE Trans. Medical Imaging Chong Wang, Yajie Wan, Shuxin Li, Kaili Qu, Xuezhi Zhou, Junjun He, Jing Ke, Yi Yu, Tianyun Wang, Yiqing Shen
2024	J	`jnl`	A Survey for Large Language Models in Biomedicine. CoRR Chong Wang, Mengyao Li, Junjun He, Zhongruo Wang, Erfan Darzi, Zan Chen, Jin Ye, Tianbin Li, Yanzhou Su, Jing Ke, Kaili Qu, Shuxin Li, Yi Yu, Pietro Liò, Tianyun Wang, Yu Guang Wang, Yiqing Shen
2024	J	`jnl`	DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model. CoRR Yizhu Wen, Kai Yi, Jing Ke, Yiqing Shen
2024	A	`conf`	Diffimpute: Tabular Data Imputation with Denoising Diffusion Probabilistic Model. ICME Yizhu Wen, Yiwei Wang, Kai Yi, Jing Ke, Yiqing Shen
2024	J	`jnl`	Exploiting Geometric Features via Hierarchical Graph Pyramid Transformer for Cancer Diagnosis Using Histopathological Images. IEEE Trans. Medical Imaging Mingxin Liu, Yunzan Liu, Pengbo Xu, Hui Cui, Jing Ke, Jiquan Ma
2024	J	`jnl`	GAN-DIRNet: A Novel Deformable Image Registration Approach for Multimodal Histological Images. Comput. Mater. Continua Haiyue Li, Jing Xie, Jing Ke, Ye Yuan, Xiaoyong Pan, Hongyi Xin, Hongbin Shen
2024	J	`jnl`	Generating Event-oriented Attribution for Movies via Two-Stage Prefix-Enhanced Multimodal LLM. CoRR Yuanjie Lyu, Tong Xu, Zihan Niu, Bo Peng, Jing Ke, Enhong Chen
2024	J	`jnl`	RandStainNA++: Enhance Random Stain Augmentation and Normalization Through Foreground and Background Differentiation. IEEE J. Biomed. Health Informatics Chong Wang, Shuxin Li, Jing Ke, Chen Zhang, Yiqing Shen
2024	—	`conf`	Virtual Doctor: The role, responsibilities, and counterparts of the general medical AI. BIBM Eduard Lloret Carbonell, Jiaxuan Huang, Yiqing Shen, Jing Ke
2023	J	`jnl`	A Federated Learning System for Histopathology Image Analysis With an Orchestral Stain-Normalization GAN. IEEE Trans. Medical Imaging Yiqing Shen, Arcot Sowmya, Yulin Luo, Xiaoyao Liang, Dinggang Shen, Jing Ke
2023	—	`conf`	A General Computationally-Efficient 3D Reconstruction Pipeline for Multiple Images with Point Clouds. ISIC/Care-AI/MedAGI/DeCaF@MICCAI Qingyang Wu, Yiqing Shen, Jing Ke
2023	J	`jnl`	A Hierarchical Graph V-Net With Semi-Supervised Pre-Training for Histological Image Based Breast Cancer Classification. IEEE Trans. Medical Imaging Yonghao Li, Yiqing Shen, Jiadong Zhang, Shujie Song, Zhenhui Li, Jing Ke, Dinggang Shen
2023	—	`conf`	An Anti-biased TBSRTC-Category Aware Nuclei Segmentation Framework with a Multi-label Thyroid Cytology Benchmark. MICCAI (6) Junchao Zhu, Yiqing Shen, Haolin Zhang, Jing Ke
2023	J	`jnl`	Artifact Detection and Restoration in Histology Images With Stain-Style and Structural Preservation. IEEE Trans. Medical Imaging Jing Ke, Kai Liu, Yuxiang Sun, Yuying Xue, Jiaxuan Huang, Yizhou Lu, Jun Dai, Yaobing Chen, Xiaodan Han, Yiqing Shen, Dinggang Shen
2023	—	`conf`	COVID-19 Pneumonia Classification with Transformer from Incomplete Modalities. MICCAI (5) Eduard Lloret Carbonell, Yiqing Shen, Xin Yang, Jing Ke
2023	J	`jnl`	ClusterSeg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets. Medical Image Anal. Jing Ke, Yizhou Lu, Yiqing Shen, Junchao Zhu, Yijin Zhou, Jinghan Huang, Jieteng Yao, Xiaoyao Liang, Yi Guo, Zhonghua Wei, Sheng Liu, Qin Huang, Fusong Jiang, Dinggang Shen
2023	—	`conf`	HistDeblur: A Pyramid Trustworthy Framework for Blurry Histologic Artifacts Quality Control. BIBM Yuxiang Sun, Kai Liu, Yiqing Shen, Xiaodan Han, Jing Ke
2023	J	`jnl`	Mine local homogeneous representation by interaction information clustering with unsupervised learning in histopathology images. Comput. Methods Programs Biomed. Jing Ke, Yiqing Shen, Yizhou Lu, Yi Guo, Dinggang Shen
2023	A	`conf`	PRF: A Fast Parallel Relaxed Flooding Algorithm for Voronoi Diagram Generation on GPU. IPDPS Jue Wang, Fumihiko Ino, Jing Ke
2023	—	`conf`	StainDiff: Transfer Stain Styles of Histology Images with Denoising Diffusion Probabilistic Models and Self-ensemble. MICCAI (6) Yiqing Shen, Jing Ke
2023	J	`jnl`	TransNuSeg: A Lightweight Multi-Task Transformer for Nuclei Segmentation. CoRR Zhenqi He, Mathias Unberath, Jing Ke, Yiqing Shen
2023	—	`conf`	TransNuSeg: A Lightweight Multi-task Transformer for Nuclei Segmentation. MICCAI (4) Zhenqi He, Mathias Unberath, Jing Ke, Yiqing Shen
2022	—	`conf`	CellSegNet: an adaptive multi-resolution hybrid network for cell segmentation. Digital and Computational Pathology Junwei Deng, Yiqing Shen, Yi Guo, Jing Ke
2022	J	`jnl`	Identify Representative Samples by Conditional Random Field of Cancer Histology Images. IEEE Trans. Medical Imaging Yiqing Shen, Dinggang Shen, Jing Ke
2022	—	`conf`	RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization. MICCAI (2) Yiqing Shen, Yulin Luo, Dinggang Shen, Jing Ke
2022	J	`jnl`	RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization. CoRR Yiqing Shen, Yulin Luo, Dinggang Shen, Jing Ke
2022	J	`jnl`	Sampling Based Tumor Recognition in Whole-Slide Histology Image With Deep Learning Approaches. IEEE ACM Trans. Comput. Biol. Bioinform. Yiqing Shen, Jing Ke
2021	—	`conf`	CA MICCAI (8) Jinghan Huang, Yiqing Shen, Dinggang Shen, Jing Ke
2021	—	`conf`	Cluster Image Patches with Multiple Mutual Information in Unlabelled Whole-Slide Image. BIBM Yiqing Shen, Yizhou Lu, Yulin Luo, Jing Ke
2021	—	`conf`	Contrastive Learning Based Stain Normalization Across Multiple Tumor in Histopathology. MICCAI (8) Jing Ke, Yiqing Shen, Xiaoyao Liang, Dinggang Shen
2021	—	`conf`	Multiple-datasets and multiple-label based color normalization in histopathology with cGAN. Digital Pathology Jing Ke, Yiqing Shen, Xinyu Jiang, Yi Guo, Yaobing Chen, Xiaoyao Liang
2021	—	`conf`	PIPArch: Programmable Image Processing Architecture Using Sliding Array. ISPA/BDCloud/SocialCom/SustainCom Feiyang Wu, Zhuoran Song, Jing Ke, Li Jiang, Naifeng Jing, Xiaoyao Liang
2021	—	`conf`	Representative Region Based Active Learning For Histological Classification Of Colorectal Cancer. ISBI Yiqing Shen, Jing Ke
2021	—	`conf`	Style Normalization In Histology With Federated Learning. ISBI Jing Ke, Yiqing Shen, Yizhou Lu
2021	B	`conf`	Su-Sampling Based Active Learning For Large-Scale Histopathology Image. ICIP Yiqing Shen, Jing Ke
2020	—	`conf`	A Deformable CRF Model for Histopathology Whole-Slide Image Classification. MICCAI (5) Yiqing Shen, Jing Ke
2020	B	`conf`	A High-Throughput Tumor Location System with Deep Learning for Colorectal Cancer Histopathology Image. AIME Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Naifeng Jing, Xiaoyao Liang
2020	—	`conf`	A Prediction Model of Microsatellite Status from Histology Images. ICBET Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Xiaoyao Liang
2020	—	`conf`	An Accurate Neural Network for Cytologic Whole-Slide Image Analysis. ACSW Junwei Deng, Yizhou Lu, Jing Ke
2020	—	`conf`	FIMIL : A high-throughput deep learning model for abnormality detection with weak annotation in microscopy images. ACSW Jing Ke, Changchang Liu, Yizhou Lu, Naifeng Jing, Xiaoyao Liang, Fusong Jiang
2020	B	`conf`	Fast Tumor Detector in Whole-Slide Image With Dynamic Programing Based Monte Carlo Sampling. ICIP Jing Ke, Yiqing Shen, Yi Guo, Xiaoyao Liang
2020	A*	`conf`	GPNPU: Enabling Efficient Hardware-Based Direct Convolution with Multi-Precision Support in GPU Tensor Cores. DAC Zhuoran Song, Jianfei Wang, Tianjian Li, Li Jiang, Jing Ke, Xiaoyao Liang, Naifeng Jing
2020	—	`conf`	Identifying patch-level MSI from histological images of Colorectal Cancer by a Knowledge Distillation Model. BIBM Jing Ke, Yiqing Shen, Jason D. Wright, Naifeng Jing, Xiaoyao Liang, Dinggang Shen
2020	—	`conf`	Navigation Signal Design and Ranging Performance Evaluation of Cn Band Based on Satellite-to-Ground Link. MLIS Xiaofei Chen, Xue Wang, Xiaochun Lu, Jing Ke, Xia Guo
2020	A*	`conf`	VR-DANN: Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration. MICRO Zhuoran Song, Feiyang Wu, Xueyuan Liu, Jing Ke, Naifeng Jing, Xiaoyao Liang
2019	J	`jnl`	A Frequency Multiplication Method Based on Extracting Harmonic From Narrow Pulse. IEEE Access Mei Zhou, Sheng Tang, Wenli Wang, Jing Ke, Zhouhu Deng
2019	—	`conf`	A sharing-aware L1.5D cache for data reuse in GPGPUs. ASP-DAC Jianfei Wang, Li Jiang, Jing Ke, Xiaoyao Liang, Naifeng Jing
2019	Misc	`conf`	Assessment and Elimination of Inflammatory Cell: A Machine Learning Approach in Digital Cytology. DICTA Jing Ke, Junwei Deng, Yizhou Lu, Dadong Wang, Yang Song, Huijuan Zhang
2019	—	`conf`	HUBPA: high utilization bidirectional pipeline architecture for neuromorphic computing. ASP-DAC Houxiang Ji, Li Jiang, Tianjian Li, Naifeng Jing, Jing Ke, Xiaoyao Liang
2019	—	`conf`	Noise reduction with image inpainting: an application in clinical data diagnosis. SIGGRAPH Posters Jing Ke, Junwei Deng, Yizhou Lu
2019	—	`conf`	Selective Detection and Segmentation of Cervical Cells. ICBBT Jing Ke, Zhaoming Jiang, Changchang Liu, Tomasz Bednarz, Arcot Sowmya, Xiaoyao Liang
2018	J	`jnl`	Approximate Random Dropout. CoRR Zhuoran Song, Dongyu Ru, Ru Wang, Hongru Huang, Zhenghao Peng, Jing Ke, Xiaoyao Liang, Li Jiang
2018	J	`jnl`	Design and Implementation of Time Synchronization Experimental System for Wireless Sensor Networks. Int. J. Online Eng. Sheng Tang, Jing Ke, Zunzun Li, Pengfei Dong
2018	—	`—`	Parallel Computing and Performance Optimisation in Remotely Sensed Image Processing. Jing Ke
2017	—	`conf`	A Fast Approximate Spectral Unmixing Algorithm Based on Segmentation. CVPR Workshops Jing Ke, Yi Guo, Arcot Sowmya
2017	B	`conf`	A performance acceleration algorithm of spectral unmixing via subset selection. ESANN Jing Ke, Yi Guo, Arcot Sowmya, Tomasz Bednarz
2016	Misc	`conf`	Efficient GPU Computing Framework of Cloud Filtering in Remotely Sensed Image Processing. DICTA Jing Ke, Arcot Sowmya, Yi Guo, Tomasz Bednarz, Michael Buckley
2016	C	`conf`	Optimized GPU implementation for dynamic programming in image data processing. IPCCC Jing Ke, Tomasz Bednarz, Arcot Sowmya
2007	—	`conf`	Modified Evolution Strategy Based Identification of Multi-input Single-Output Wiener-Hammerstein Model. ICNC (4) Jing Ke, Chengjin Zhang, Yizheng Qiao