Improvement of an Image Encryption Algorithm Based on Combined Multidimensional Chaotic Systems. - Chen Dong 008; Jifang Li; Lifeng Xi; Jie Hao; Ran Jin (KES (2), 2007)

Fault Detecting Technology Based on BP Neural Network Algorithm. - Ran Jin; Kun Gao 005; Zhigang Chen; Chen Dong 008; Yanghong Zhang; Lifeng Xi (KES (2), 2007)

Simulation Research of Applying Two-dimensional Empirical Mode Decomposition on Image Feature Extraction. - Qin Wang 012; Ran Jin; Kun Gao 005 (SKG, 2010)

Efficient parallel spectral clustering algorithm design for large data sets under cloud computing environment. - Ran Jin; Chunhai Kou; Ruijuan Liu; Yefeng Li (J. Cloud Comput., 2013)

A Co-optimization Routing Algorithm in Wireless Sensor Network. - Ran Jin; Chunhai Kou; Ruijuan Liu; Yefeng Li (Wirel. Pers. Commun., 2013)

Monitoring Profile Trajectories with Dynamic Time Warping Alignment. - Chenxu Dai; Kaibo Wang; Ran Jin (Qual. Reliab. Eng. Int., 2014)

QQ Models: Joint Modeling for Quantitative and Qualitative Quality Responses in Manufacturing Systems. - Xinwei Deng; Ran Jin (Technometrics, 2015)

Unaligned Profile Monitoring Using Penalized Methods. - Yangyang Zang; Kaibo Wang; Ran Jin (Qual. Reliab. Eng. Int., 2016)

Ensemble Modeling of In Situ Features for Printed Electronics Manufacturing With In Situ Process Control Potential. - Yifu Li; Karuniya Mohan; Hongyue Sun; Ran Jin (IEEE Robotics Autom. Lett., 2017)

Functional Graphical Models for Manufacturing Process Modeling. - Hongyue Sun; Shuai Huang 001; Ran Jin (IEEE Trans Autom. Sci. Eng., 2017)

Data Fusion Pipelines for Autonomous Smart Manufacturing. - Xiaoyu Chen 005; Ran Jin (CASE, 2018)

Automatic Segmentation of Shoulder Joint in MRI Using Patch-Based and Fully Convolutional Networks. - Yunpeng Liu 004; Wenli Cai; Guobin Hong; Renfang Wang; Ran Jin (ICIP, 2018)

Predictive offloading in mobile-fog-cloud enabled cyber-manufacturing systems. - Xiaoyu Chen 005; Lening Wang; Canran Wang; Ran Jin (ICPS, 2018)

Non-invasive assessment of liver quality in transplantation based on thermal imaging analysis. - Qing Lan; Hongyue Sun; John Robertson; Xinwei Deng; Ran Jin (Comput. Methods Programs Biomed., 2018)

DIM: a distributed air index based on MapReduce for spatial query processing in road networks. - Ran Jin; Gang Chen 001; Anthony K. H. Tung; Lidan Shou; Beng Chin Ooi; Yuting Gu (EURASIP J. Wirel. Commun. Netw., 2018)

An Optimized Iterative Semantic Compression Algorithm And Parallel Processing for Large Scale Data. - Ran Jin; Gang Chen 001; Anthony K. H. Tung; Lidan Shou; Beng Chin Ooi (KSII Trans. Internet Inf. Syst., 2018)

Functional Quantitative and Qualitative Models for Quality Modeling in a Fused Deposition Modeling Process. - Hongyue Sun; Prahalad K. Rao; Zhenyu James Kong; Xinwei Deng; Ran Jin (IEEE Trans Autom. Sci. Eng., 2018)

Fog Computing for Distributed Family Learning in Cyber-Manufacturing Modeling. - Yutong Zhang 002; Lening Wang; Xiaoyu Chen 005; Ran Jin (ICPS, 2019)

Shoulder Joint Image Segmentation Based on Joint Convolutional Neural Networks. - Yunpeng Liu 004; Renfang Wang; Ran Jin; Dechao Sun; Huixia Xu; Chen Dong 008 (RICAI, 2019)

Classifying relations in clinical narratives using segment graph convolutional and recurrent neural networks (Seg-GCRNs). - Yifu Li; Ran Jin; Yuan Luo 001 (J. Am. Medical Informatics Assoc., 2019)

Online Computation Performance Analysis for Distributed Machine Learning Pipelines in Fog Manufacturing. - Lening Wang; Yutong Zhang 002; Xiaoyu Chen 005; Ran Jin (CASE, 2020)

A Monitoring System for Anomaly Detection in Fog Manufacturing. - Lening Wang; Yutong Zhang 002; Ran Jin (ICPS, 2020)

A latent unknown clustering integrating multi-omics data (LUCID) with phenotypic traits. - Cheng Peng; Jun Wang; Isaac Asante; Stan Louie; Ran Jin; Lida Chatzi; Graham Casey; Duncan C. Thomas; David V. Conti (Bioinform., 2020)

Manufacturing quality prediction using smooth spatial variable selection estimator with applications in aerosol jet®printed electronics manufacturing. - Yifu Li; Hongyue Sun; Xinwei Deng; Chuck Zhang; Hsu-Pin (Ben) Wang; Ran Jin (IISE Trans., 2020)

Supervised subgraph augmented non-negative matrix factorization for interpretable manufacturing time series data analytics. - Hongyue Sun; Ran Jin; Yuan Luo 001 (IISE Trans., 2020)

Predictive Offloading in Fog Manufacturing for Computational Pipelines using Multi-task Learning. - Vignesh Raja Nallendran; Lening Wang; Ran Jin (CASE, 2021)

WordErrorSim: An Adversarial Examples Generation Method in Chinese by Erroneous Knowledge. - Ran Jin; Chunhua Wu (ICCDA, 2021)

Deep Neural Network Pipelines for Multivariate Time Series Classification in Smart Manufacturing. - Parshin Shojaee; Yingyan Zeng; Xiaoyu Chen 005; Ran Jin; Xinwei Deng; Chuck Zhang (ICPS, 2021)

Modeling of pre-transplantation liver viability with spatial-temporal smooth variable selection. - Qing Lan; Yifu Li; John Robertson; Ran Jin (Comput. Methods Programs Biomed., 2021)

Learning to Refit for Convex Learning Problems. - Yingyan Zeng; Tianhao Wang 013; Si Chen 008; Hoang Anh Just; Ran Jin; Ruoxi Jia 001 (CoRR, 2021)

Multivariate regression of mixed responses for evaluation of visualization designs. - Xiaoning Kang; Xiaoyu Chen 005; Ran Jin; Hao Wu; Xinwei Deng (IISE Trans., 2021)

A Cost-Efficient Data-Driven Approach to Design Space Exploration for Personalized Geometric Design in Additive Manufacturing. - Sungku Kang; Xinwei Deng; Ran Jin (J. Comput. Inf. Sci. Eng., 2021)

MOSS - Multi-Modal Best Subset Modeling in Smart Manufacturing. - Lening Wang; Pang Du; Ran Jin (Sensors, 2021)

AdaPipe: A Recommender System for Adaptive Computation Pipelines in Cyber-Manufacturing Computation Services. - Xiaoyu Chen 005; Ran Jin (IEEE Trans. Ind. Informatics, 2021)

PRIME: A Personalized Recommender System for Information Visualization Methods via Extended Matrix Completion. - Xiaoyu Chen 005; Nathan Lau; Ran Jin (ACM Trans. Interact. Intell. Syst., 2021)

Task-Driven Privacy-Preserving Data-Sharing Framework for the Industrial Internet. - Parshin Shojaee; Yingyan Zeng; Muntasir Wahed; Avi Seth; Ran Jin; Ismini Lourentzou (IEEE Big Data, 2022)

Contextual Bandit Guided Data Farming for Deep Neural Networks in Manufacturing Industrial Internet. - Yingyan Zeng; Parshin Shojaee; Syed Hasib Akhter Faruqui; Adel Alaeddini; Ran Jin (ICPS, 2022)

Adaptively Weighted Top-N Recommendation for Organ Matching. - Parshin Shojaee; Xiaoyu Chen 005; Ran Jin (ACM Trans. Comput. Heal., 2022)

Family learning: A process modeling method for cyber-additive manufacturing network. - Lening Wang; Xiaoyu Chen 005; Daniel Henkel; Ran Jin (IISE Trans., 2022)

Monitoring Runtime Metrics of Fog Manufacturing via a Qualitative and Quantitative (QQ) Control Chart. - Yifu Li; Lening Wang; Dongyoon Lee; Ran Jin (ACM Trans. Internet Things, 2022)

INN: An Interpretable Neural Network for AI Incubation in Manufacturing. - Xiaoyu Chen 005; Yingyan Zeng; Sungku Kang; Ran Jin (ACM Trans. Intell. Syst. Technol., 2022)

Synthetic Data Generation and Sampling for Online Training of DNNs in Manufacturing Supervised Learning Problems. - Yingyan Zeng; Prithivrajan Thiyagarajan; Brian M. Chan; Ran Jin (CASE, 2023)

ModelPred: A Framework for Predicting Trained Model from Training Data. - Yingyan Zeng; Jiachen T. Wang; Si Chen 008; Hoang Anh Just; Ran Jin; Ruoxi Jia 001 (SaTML, 2023)

Multi-Task Learning With Latent Variation Decomposition for Multivariate Responses in a Manufacturing Network. - Yifu Li; Hao Yan; Ran Jin (IEEE Trans Autom. Sci. Eng., 2023)

Semantic Completion and Filtration for Image-Text Retrieval. - Song Yang; Qiang Li 048; Wenhui Li 001; Xuanya Li; Ran Jin; Bo Lv; Rui Wang 110; Anan Liu (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Challenges of modeling and analysis in cybermanufacturing: a review from a machine learning and computation perspective. - Sungku Kang; Ran Jin; Xinwei Deng; Ron S. Kenett (J. Intell. Manuf., 2023)

Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing. - Xiaoyu Chen 005; Xiaoning Kang; Ran Jin; Xinwei Deng (Technometrics, 2023)

Progressively Relaxed Knowledge Distillation. - Xiaozhe Gu; Ran Jin; Mingliang Li (IJCNN, 2024)

A Non-Intrusive Load Identification Method Based on Multi-Head Attention. - Jie Yuan; Ran Jin; Lidong Wang (IEEE Access, 2024)

A Nonintrusive Load Identification Method Based on Dual-Branch Attention GRU Fusion Network. - Jie Yuan; Ran Jin; Lidong Wang; Ting Wang (IEEE Trans. Instrum. Meas., 2024)

Ensemble Active Learning by Contextual Bandits for AI Incubation in Manufacturing. - Yingyan Zeng; Xiaoyu Chen 005; Ran Jin (ACM Trans. Intell. Syst. Technol., 2024)

Mutual Active Learning for Engineering Regulated Statistical Digital Twin Models. - Lening Wang; Xi Vincent Wang; Qinglei Ji; Lihui Wang 001; Ran Jin (IEEE Trans. Ind. Informatics, 2024)

Exploring the State-of-the-Art in Multi-Object Tracking: A Comprehensive Survey, Evaluation, Challenges, and Future Directions. - Chenjie Du; Chenwei Lin; Ran Jin; Bencheng Chai; Yingbiao Yao; Siyu Su (Multim. Tools Appl., 2024)

A method for image-text matching based on semantic filtering and adaptive adjustment. - Ran Jin; Tengda Hou; Tao Jin; Jie Yuan; Chenjie Du (EURASIP J. Image Video Process., 2024)

Lori: Local Low-Rank Response Imputation for Automatic Configuration of Contextualized Artificial Intelligence. - Xiaoyu Chen 005; Ran Jin (IEEE Trans. Ind. Informatics, 2024)

FAIR: Facilitating Artificial Intelligence Resilience in Manufacturing Industrial Internet. - Yingyan Zeng; Ismini Lourentzou; Xinwei Deng; Ran Jin (CSR, 2025)

Self-distillation with model averaging. - Xiaozhe Gu; Zixun Zhang; Ran Jin; Rick Siow Mong Goh; Tao Luo 014 (Inf. Sci., 2025)

High-Quality Dataset-Sharing and Trade Based on a Performance-Oriented Directed Graph Neural Network. - Yingyan Zeng; Xiaona Zhou; Premith Kumar Chilukuri; Ismini Lourentzou; Ran Jin (IEEE Trans Autom. Sci. Eng., 2025)