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Ze Jin
ORCID
Publication Activity (10 Years)
Years Active: 2013-2024
Publications (10 Years): 31
Top Topics
Neural Network
Atrial Fibrillation
Radiation Dose
Medical Image Analysis
Top Venues
ISBI
Eng. Appl. Artif. Intell.
CoRR
Proc. VLDB Endow.
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Publications
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Shogo Kodera
,
Wahyu Rahmaniar
,
Hiroko Oshibe
,
Ze Jin
,
Takeyuki Watadani
,
Osamu Abe
,
Kenji Suzuki
Super-Efficient Lung Nodule Classification Using Massive-Training Artificial Neural Network (MTANN) Compact Model on LIDC-IDRI Database.
IVSP
(2024)
Chunwen Liu
,
Ru Tan
,
Yang Wu
,
Yun Feng
,
Ze Jin
,
Fangjiao Zhang
,
Yuling Liu
,
Qixu Liu
Dissecting zero trust: research landscape and its implementation in IoT.
Cybersecur.
7 (1) (2024)
Ze Jin
,
Taehyun Hwang
,
Daehoon Kim
,
Byounghyun Lim
,
Oh-Seok Kwon
,
Sangbin Kim
,
Moon-Hyun Kim
,
Je-Wook Park
,
Hee Tae Yu
,
Tae-Hoon Kim
,
Jae-Sun Uhm
,
Boyoung Joung
,
Moon-Hyoung Lee
,
Hui-Nam Pak
Anti- and pro-fibrillatory effects of pulmonary vein isolation gaps in human atrial fibrillation digital twins.
npj Digit. Medicine
7 (1) (2024)
Ke Yang
,
Jizheng Yi
,
Aibin Chen
,
Ze Jin
Buffer-text: Detecting arbitrary shaped text in natural scene image.
Eng. Appl. Artif. Intell.
130 (2024)
Junsong Chen
,
Jizheng Yi
,
Aibin Chen
,
Ke Yang
,
Ze Jin
SMFE-Net: a saliency multi-feature extraction framework for VHR remote sensing image classification.
Multim. Tools Appl.
83 (2) (2024)
Ze Jin
,
Maolin Pang
,
Yuqiao Yang
,
Fahad Parvez Mahdi
,
Tianyi Qu
,
Ren Sasage
,
Kenji Suzuki
Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task Through Visualizing Functions Within the Models.
MICCAI (2)
(2023)
Junsong Chen
,
Jizheng Yi
,
Aibin Chen
,
Ze Jin
EFCOMFF-Net: A Multiscale Feature Fusion Architecture With Enhanced Feature Correlation for Remote Sensing Image Scene Classification.
IEEE Trans. Geosci. Remote. Sens.
61 (2023)
Xingchen Chen
,
Baizhu Wang
,
Ze Jin
,
Yun Feng
,
Xianglong Li
,
Xincheng Feng
,
Qixu Liu
Tabby: Automated Gadget Chain Detection for Java Deserialization Vulnerabilities.
DSN
(2023)
Xinyu Liu
,
Ze Jin
,
Jiaxi Liu
,
Wei Liu
,
Xiaoxi Wang
,
Qixu Liu
ANDetect: A Third-party Ad Network Libraries Detection Framework for Android Applications.
ACSAC
(2023)
Ze Jin
,
Zorina Song
Generating coherent comic with rich story using ChatGPT and Stable Diffusion.
CoRR
(2023)
Taeyoon Kim
,
Chanho Park
,
Mansur Mukimbekov
,
Heelim Hong
,
Minseok Kim
,
Ze Jin
,
Changdae Kim
,
Ji-Yong Shin
,
Myeongjae Jeon
FusionFlow: Accelerating Data Preparation for Machine Learning with Hybrid CPU-GPU Processing.
Proc. VLDB Endow.
17 (4) (2023)
Zhipeng Deng
,
Ze Jin
,
Kenji Suzuki
Radiation Dose Reduction in Digital Breast Tomosynthesis by MTANN with Multi-scale Kernels.
EMBC
(2023)
Zhipeng Deng
,
Yuqiao Yang
,
Kenji Suzuki
,
Ze Jin
FedAL: An Federated Active Learning Framework for Efficient Labeling in Skin Lesion Analysis.
SMC
(2022)
Ze Jin
,
Luyi Xing
,
Yiwei Fang
,
Yan Jia
,
Bin Yuan
,
Qixu Liu
P-Verifier: Understanding and Mitigating Security Risks in Cloud-based IoT Access Policies.
CCS
(2022)
Yuqiao Yang
,
Ze Jin
,
Kenji Suzuki
Federated Tumor Segmentation with Patch-Wise Deep Learning Model.
MLMI@MICCAI
(2022)
Ke Yang
,
Jizheng Yi
,
Aibin Chen
,
Jiaqi Liu
,
Wenjie Chen
,
Ze Jin
ConvPatchTrans: A script identification network with global and local semantics deeply integrated.
Eng. Appl. Artif. Intell.
113 (2022)
Maodong Xiang
,
Ze Jin
,
Kenji Suzuki
Massive-Training Artificial Neural Network (Mtann) With Special Kernel For Artifact Reduction In Fast-Acquisition Mri Of The Knee.
ISBI
(2021)
Yi Sima
,
Jizheng Yi
,
Aibin Chen
,
Ze Jin
Automatic expression recognition of face image sequence based on key-frame generation and differential emotion feature.
Appl. Soft Comput.
113 (Part) (2021)
Muneyuki Sato
,
Ze Jin
,
Kenji Suzuki
Semantic Segmentation of Liver Tumor in Contrast-enhanced Hepatic CT by Using Deep Learning with Hessian-based Enhancer with Small Training Dataset Size.
ISBI
(2021)
Ze Jin
,
Jayaram K. Udupa
,
Drew A. Torigian
Obtaining the potential number of object models/atlases needed in medical image analysis.
Medical Imaging: Image-Guided Procedures
(2020)
Gangmuk Lim
,
Mohamed S. Hassan
,
Ze Jin
,
Stavros Volos
,
Myeongjae Jeon
Approximate Quantiles for Datacenter Telemetry Monitoring.
ICDE
(2020)
Ze Jin
,
Jayaram K. Udupa
,
Drew A. Torigian
How many models/atlases are needed as priors for capturing anatomic population variations?
Medical Image Anal.
58 (2019)
Yuchen Wang
,
Ze Jin
,
Yukiko Tokuda
,
Yasuto Naoi
,
Noriyuki Tomiyama
,
Kenji Suzuki
Development of Deep-learning Segmentation for Breast Cancer in MR Images based on Neural Network Convolution.
ICCPR
(2019)
Gangmuk Lim
,
Mohamed S. Hassan
,
Ze Jin
,
Stavros Volos
,
Myeongjae Jeon
Approximate Quantiles for Datacenter Telemetry Monitoring.
CoRR
(2019)
Cheng Tan
,
Ze Jin
,
Chuanxiong Guo
,
Tianrong Zhang
,
Haitao Wu
,
Karl Deng
,
Dongming Bi
,
Dong Xiang
NetBouncer: Active Device and Link Failure Localization in Data Center Networks.
NSDI
(2019)
Ze Jin
,
Jayaram K. Udupa
,
Drew A. Torigian
Obtaining the potential number of models/atlases needed for capturing anatomic variations in population images.
Medical Imaging: Image Processing
(2019)
Ze Jin
,
David S. Matteson
,
Tianrong Zhang
Independent Component Analysis Based on Mutual Dependence Measures.
ICMLA
(2019)
Ze Jin
,
Benjamin B. Risk
,
David S. Matteson
Optimization and testing in linear non-Gaussian component analysis.
Stat. Anal. Data Min.
12 (3) (2019)
Ze Jin
,
Xiaohan Yan
,
David S. Matteson
Testing for Conditional Mean Independence with Covariates through Martingale Difference Divergence.
UAI
(2018)
Ze Jin
,
David S. Matteson
Generalizing distance covariance to measure and test multivariate mutual dependence via complete and incomplete V-statistics.
J. Multivar. Anal.
168 (2018)
Paul Raff
,
Ze Jin
The difference-of-datasets framework: A statistical method to discover insight.
IEEE BigData
(2016)
Caiya Zhang
,
Ze Jin
Initial Seeds Selection in Dynamic Clustering Method Based on Data Depth.
IScIDE (2)
(2015)
Hidetaka Arimura
,
Ze Jin
,
Yoshiyuki Shioyama
,
Katsumasa Nakamura
,
Taiki Magome
,
Masayuki Sasaki
Automated method for extraction of lung tumors using a machine learning classifier with knowledge of radiation oncologists on data sets of planning CT and FDG-PET/CT images.
EMBC
(2013)