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. - Hidetaka Arimura; Ze Jin; Yoshiyuki Shioyama; Katsumasa Nakamura; Taiki Magome; Masayuki Sasaki (EMBC, 2013)

Initial Seeds Selection in Dynamic Clustering Method Based on Data Depth. - Caiya Zhang; Ze Jin (IScIDE (2), 2015)

The difference-of-datasets framework: A statistical method to discover insight. - Paul Raff; Ze Jin (IEEE BigData, 2016)

Testing for Conditional Mean Independence with Covariates through Martingale Difference Divergence. - Ze Jin; Xiaohan Yan; David S. Matteson (UAI, 2018)

Generalizing distance covariance to measure and test multivariate mutual dependence via complete and incomplete V-statistics. - Ze Jin; David S. Matteson (J. Multivar. Anal., 2018)

Development of Deep-learning Segmentation for Breast Cancer in MR Images based on Neural Network Convolution. - Yuchen Wang; Ze Jin; Yukiko Tokuda; Yasuto Naoi; Noriyuki Tomiyama; Kenji Suzuki 001 (ICCPR, 2019)

Independent Component Analysis Based on Mutual Dependence Measures. - Ze Jin; David S. Matteson; Tianrong Zhang (ICMLA, 2019)

Obtaining the potential number of models/atlases needed for capturing anatomic variations in population images. - Ze Jin; Jayaram K. Udupa; Drew A. Torigian (Image Processing, 2019)

NetBouncer: Active Device and Link Failure Localization in Data Center Networks. - Cheng Tan 005; Ze Jin; Chuanxiong Guo; Tianrong Zhang; Haitao Wu; Karl Deng; Dongming Bi; Dong Xiang (NSDI, 2019)

How many models/atlases are needed as priors for capturing anatomic population variations? - Ze Jin; Jayaram K. Udupa; Drew A. Torigian (Medical Image Anal., 2019)

Optimization and testing in linear non-Gaussian component analysis. - Ze Jin; Benjamin B. Risk; David S. Matteson (Stat. Anal. Data Min., 2019)

Approximate Quantiles for Datacenter Telemetry Monitoring. - Gangmuk Lim; Mohamed S. Hassan 002; Ze Jin; Stavros Volos; Myeongjae Jeon (ICDE, 2020)

Obtaining the potential number of object models/atlases needed in medical image analysis. - Ze Jin; Jayaram K. Udupa; Drew A. Torigian (Image-Guided Procedures, 2020)

Semantic Segmentation of Liver Tumor in Contrast-enhanced Hepatic CT by Using Deep Learning with Hessian-based Enhancer with Small Training Dataset Size. - Muneyuki Sato; Ze Jin; Kenji Suzuki 001 (ISBI, 2021)

Massive-Training Artificial Neural Network (Mtann) With Special Kernel For Artifact Reduction In Fast-Acquisition Mri Of The Knee. - Maodong Xiang; Ze Jin; Kenji Suzuki 001 (ISBI, 2021)

Automatic expression recognition of face image sequence based on key-frame generation and differential emotion feature. - Yi Sima; Jizheng Yi; Aibin Chen; Ze Jin (Appl. Soft Comput., 2021)

P-Verifier: Understanding and Mitigating Security Risks in Cloud-based IoT Access Policies. - Ze Jin; Luyi Xing; Yiwei Fang; Yan Jia; Bin Yuan; Qixu Liu (CCS, 2022)

Federated Tumor Segmentation with Patch-Wise Deep Learning Model. - Yuqiao Yang; Ze Jin; Kenji Suzuki 001 (MLMI@MICCAI, 2022)

FedAL: An Federated Active Learning Framework for Efficient Labeling in Skin Lesion Analysis. - Zhipeng Deng; Yuqiao Yang; Kenji Suzuki 001; Ze Jin (SMC, 2022)

ConvPatchTrans: A script identification network with global and local semantics deeply integrated. - Ke Yang; Jizheng Yi; Aibin Chen; Jiaqi Liu; Wenjie Chen; Ze Jin (Eng. Appl. Artif. Intell., 2022)

ANDetect: A Third-party Ad Network Libraries Detection Framework for Android Applications. - Xinyu Liu 019; Ze Jin; Jiaxi Liu; Wei Liu; Xiaoxi Wang; Qixu Liu (ACSAC, 2023)

Tabby: Automated Gadget Chain Detection for Java Deserialization Vulnerabilities. - Xingchen Chen; Baizhu Wang; Ze Jin; Yun Feng 003; Xianglong Li; Xincheng Feng; Qixu Liu (DSN, 2023)

Radiation Dose Reduction in Digital Breast Tomosynthesis by MTANN with Multi-scale Kernels. - Zhipeng Deng; Ze Jin; Kenji Suzuki 001 (EMBC, 2023)

Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task Through Visualizing Functions Within the Models. - Ze Jin; Maolin Pang; Yuqiao Yang; Fahad Parvez Mahdi; Tianyi Qu; Ren Sasage; Kenji Suzuki 001 (MICCAI (2), 2023)

Generating simulated fluorescence images for enhancing proteins from optical microscopy images of cells using massive-training artificial neural networks. - Xu Lei 003; Fahad Parvez Mahdi; Ze Jin; Hao Sun; Yoshiyuki Noguchi; Masayuki Murata; Kenji Suzuki 001 (Digital and Computational Pathology, 2023)

Generating coherent comic with rich story using ChatGPT and Stable Diffusion. - Ze Jin; Zorina Song (CoRR, 2023)

EFCOMFF-Net: A Multiscale Feature Fusion Architecture With Enhanced Feature Correlation for Remote Sensing Image Scene Classification. - Junsong Chen; Jizheng Yi; Aibin Chen; Ze Jin (IEEE Trans. Geosci. Remote. Sens., 2023)

FusionFlow: Accelerating Data Preparation for Machine Learning with Hybrid CPU-GPU Processing. - Taeyoon Kim; Chanho Park; Mansur Mukimbekov; Heelim Hong; Minseok Kim; Ze Jin; Changdae Kim; Ji-Yong Shin; Myeongjae Jeon (Proc. VLDB Endow., 2023)

"Small-data" Patch-wise Multi-dimensional Output Deep-learning for Rare Cancer Diagnosis in MRI under Limited Sample-size Situation. - Yuqiao Yang; Ze Jin; Fumihiko Nakatani; Mototaka Miyake; Kenji Suzuki 001 (ISBI, 2024)

Super-Efficient Lung Nodule Classification Using Massive-Training Artificial Neural Network (MTANN) Compact Model on LIDC-IDRI Database. - Shogo Kodera; Wahyu Rahmaniar; Hiroko Oshibe; Ze Jin; Takeyuki Watadani; Osamu Abe; Kenji Suzuki 001 (IVSP, 2024)

Buffer-text: Detecting arbitrary shaped text in natural scene image. - Ke Yang; Jizheng Yi; Aibin Chen; Ze Jin (Eng. Appl. Artif. Intell., 2024)

Anti- and pro-fibrillatory effects of pulmonary vein isolation gaps in human atrial fibrillation digital twins. - 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; et al. (npj Digit. Medicine, 2024)

SMFE-Net: a saliency multi-feature extraction framework for VHR remote sensing image classification. - Junsong Chen; Jizheng Yi; Aibin Chen; Ke Yang; Ze Jin (Multim. Tools Appl., 2024)

Dissecting zero trust: research landscape and its implementation in IoT. - Chunwen Liu; Ru Tan; Yang Wu; Yun Feng 003; Ze Jin; Fangjiao Zhang; Yuling Liu; Qixu Liu (Cybersecur., 2024)

Hidden and Lost Control: on Security Design Risks in IoT User-Facing Matter Controller. - Haoqiang Wang; Yiwei Fang; Yichen Liu; Ze Jin; Emma Delph; Xiaojiang Du; Qixu Liu; Luyi Xing (NDSS, 2025)

Not All Benignware Are Alike: Enhancing Clean-Label Attacks on Malware Classifiers. - Xutong Wang; Yun Feng 003; Bingsheng Bi; Yaqin Cao; Ze Jin; Xinyu Liu 019; Yuling Liu; Yunpeng Li 006 (WWW, 2025)

Patch-Based Deep-Learning Model With Limited Training Dataset for Liver Tumor Segmentation in Contrast-Enhanced Hepatic Computed Tomography. - Yuqiao Yang; Muneyuki Sato; Ze Jin; Kenji Suzuki 001 (IEEE Access, 2025)

Graph Reconstruction Attention Fusion Network for Multimodal Sentiment Analysis. - Ronglong Hu; Jizheng Yi; Lijiang Chen; Ze Jin (IEEE Trans. Ind. Informatics, 2025)

Audio-Enhanced Vision-Language Modeling with Latent Space Broadening for High Quality Data Expansion. - Yu Sun; Yin Li; Ruixiao Sun; Chunhui Liu 002; Fangming Zhou; Ze Jin; Linjie Wang; Xiang Shen; Zhuolin Hao; Hongyu Xiong (CoRR, 2025)

Future of the Medical World: Collaborative Medical Imaging AI With Federated Learning. - Wahyu Rahmaniar; Zhipeng Deng; Yuqiao Yang; Ze Jin; Kenji Suzuki 001 (IEEE Consumer Electron. Mag., 2025)

Shadowkube: enhancing Kubernetes security with behavioral monitoring and honeypot integration. - Qingwang Chen; Yuling Liu; Ru Tan; Ze Jin; Juxin Xiao; Xiao Wang; Fangjiao Zhang; Qixu Liu (Cybersecur., 2025)