Implementation of executive information systems in the client/server environment: an approach developed from the case study. - Jung Lyu Jr.; Ming-Chang Lee; Jyh-Hong Ding; A. Gunasekaran (Int. J. Inf. Technol. Manag., 2002)

An object-oriented analysis method for customer relationship management information systems. - Jyhjong Lin; Ming-Chang Lee (Inf. Softw. Technol., 2004)

Statistical Data Analysis for Software Metrics Validation. - Ming-Chang Lee (KES (4), 2005)

Applying TQM, CMM and ISO 9001 in Knowledge Management for software development process improvement. - Ming-Chang Lee; To Chang (Int. J. Serv. Stand., 2006)

Applying ISO 17799: 2005 in information security management. - Ming-Chang Lee; To Chang (Int. J. Serv. Stand., 2007)

Development Multi-Enterprise Collaborative Enterprise intelligent decision support system. - Ming-Chang Lee; Jung-Fang Cheng (J. Convergence Inf. Technol., 2007)

A Divide-and-Conquer Strategy and PVM Computation Environment for the Matrix Multiplication. - Ming-Chang Lee (ICA3PP, 2009)

Enterprise Financial Status Synthetic Evaluation Based on Fuzzy Rough Set Theory. - Ming-Chang Lee; Jui-Fang Chang (KES-AMSTA, 2009)

Knowledge Value Chain Model Implemented for Supply Chain Management Performance. - Ming-Chang Lee; Mei-Wen Han (NCM, 2009)

An Enterprise Financial Evaluation Model Based on Rough Set theory with Information Entropy. - Ming-Chang Lee (J. Digit. Content Technol. its Appl., 2009)

A warehouse management system with sequential picking for multi-container deliveries. - Jiun-Yan Shiau; Ming-Chang Lee (Comput. Ind. Eng., 2010)

Comparison of Support Vector Machine and Back Propagation Neural Network in Evaluating the Enterprise Financial Distress - Ming-Chang Lee; To Chang (CoRR, 2010)

Improving Data Grids Performance by Using Popular File Replicate First Algorithm. - Fang-Yie Leu; Ming-Chang Lee; Jia-Chun Lin (BWCCA, 2011)

Rule Extraction Based on Rough Fuzzy Sets in Fuzzy Information Systems. - Ming-Chang Lee; To Chang (Trans. Comput. Collect. Intell., 2011)

Ultra compact Silicon microring filter. - Chih-Wei Tseng; Chih-Wei Tsai; Ming-Chang Lee; Yung-Jui Chen (WOCC, 2012)

A Semi-Preemptive Computational Service System with Limited Resources and Dynamic Resource Ranking. - Fang-Yie Leu; Keng-Yen Chao; Ming-Chang Lee; Jia-Chun Lin (Algorithms, 2012)

PFRF: An adaptive data replication algorithm based on star-topology data grids. - Ming-Chang Lee; Fang-Yie Leu; Ying-Ping Chen (Future Gener. Comput. Syst., 2012)

Deriving Job Completion Reliability and Job Energy Consumption for a General MapReduce Infrastructure from Single-Job Perspective. - Jia-Chun Lin; Fang-Yie Leu; Ming-Chang Lee; Ying-Ping Chen (AINA Workshops, 2013)

TSR: Topology Reduction from Tree to Star Data Grids. - Ming-Chang Lee; Fang-Yie Leu; Ying-Ping Chen (IMIS, 2013)

Observation of strong transverse magneto-optical Kerr effect on surface plasmonic gratings. - N. P. Ling; K. H. Chou; C. T. Jhou; M. H. Lai; T. C. Chen; Chih-Huang Lai; L. W. Wang; Vincent Gwo-Bin Lee; Ming-Chang Lee (NEMS, 2013)

Tradeoff Analysis for Optimal Multiobjective Inventory Model. - Longsheng Cheng; Ching-Shih Tsou; Ming-Chang Lee; Li-Hua Huang; Dingwei Song; Wei-Shan Teng (J. Appl. Math., 2013)

Cache Replacement Algorithms for YouTube. - Ming-Chang Lee; Fang-Yie Leu; Ying-Ping Chen (AINA, 2014)

Scheduling MapReduce tasks on virtual MapReduce clusters from a tenant's perspective. - Jia-Chun Lin; Ming-Chang Lee; Ramin Yahyapour (IEEE BigData, 2014)

Inference and diagnosis model based on Bayesian network and rough sets theory. - Jui-Fang Chang; Jung-Fang Cheng; Ming-Chang Lee (ICMLC, 2014)

Developing a Performance-Analysis Model for a Star-Topology Data Grid from Multi-user Perspective. - Ming-Chang Lee; Fang-Yie Leu; Ying-Ping Chen (INCoS, 2014)

ReMBF: A Reliable Multicast Brute-Force Co-allocation Scheme for Multi-user Data Grids. - Ming-Chang Lee; Fang-Yie Leu; Ying-Ping Chen (COMPSAC, 2015)

Pareto-based cache replacement for YouTube. - Ming-Chang Lee; Fang-Yie Leu; Ying-Ping Chen (World Wide Web, 2015)

ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters. - Jia-Chun Lin; Ingrid Chieh Yu; Einar Broch Johnsen; Ming-Chang Lee (FASE, 2016)

Performance evaluation of job schedulers on Hadoop YARN. - Jia-Chun Lin; Ming-Chang Lee (Concurr. Comput. Pract. Exp., 2016)

Hybrid Job-Driven Scheduling for Virtual MapReduce Clusters. - Ming-Chang Lee; Jia-Chun Lin; Ramin Yahyapour (IEEE Trans. Parallel Distributed Syst., 2016)

EasyChoose: A Continuous Feature Extraction and Review Highlighting Scheme on Hadoop YARN. - Ming-Chang Lee; Jia-Chun Lin; Olaf Owe (AINA, 2018)

Modeling and Simulation of Spark Streaming. - Jia-Chun Lin; Ming-Chang Lee; Ingrid Chieh Yu; Einar Broch Johnsen (AINA, 2018)

Privacy Mining from IoT-Based Smart Homes. - Ming-Chang Lee; Jia-Chun Lin; Olaf Owe (BWCCA, 2018)

Adaptive Write Interference Management with Efficient Mapping for Shingled Recording Disks. - Ming-Chang Lee; Li-Pin Chang; Sung-Ming Wu; Wei-Shang Yui (ICCD, 2019)

PDS: Deduce elder privacy from smart homes. - Ming-Chang Lee; Jia-Chun Lin; Olaf Owe (Internet Things, 2019)

DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction. - Ming-Chang Lee; Jia-Chun Lin (AINA, 2020)

RePAD: Real-Time Proactive Anomaly Detection for Time Series. - Ming-Chang Lee; Jia-Chun Lin; Ernst Gunnar Gran (AINA, 2020)

ReRe: A Lightweight Real-Time Ready-to-Go Anomaly Detection Approach for Time Series. - Ming-Chang Lee; Jia-Chun Lin; Ernst Gunner Gan (COMPSAC, 2020)

Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks Based on Automatic LSTM Customization and Sharing. - Ming-Chang Lee; Jia-Chun Lin; Ernst Gunnar Gran (Euro-Par, 2020)

ReRe: A Lightweight Real-time Ready-to-Go Anomaly Detection Approach for Time Series. - Ming-Chang Lee; Jia-Chun Lin; Ernst Gunnar Gran (CoRR, 2020)

A configurable and executable model of Spark Streaming on Apache YARN. - Jia-Chun Lin; Ming-Chang Lee; Ingrid Chieh Yu; Einar Broch Johnsen (Int. J. Grid Util. Comput., 2020)

How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection? - Ming-Chang Lee; Jia-Chun Lin; Ernst Gunnar Gran (AINA (1), 2021)

SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series. - Ming-Chang Lee; Jia-Chun Lin; Ernst Gunnar Gran (COMPSAC, 2021)

DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks. - Ming-Chang Lee; Jia-Chun Lin; Ernst Gunnar Gran (CoRR, 2021)

NP-Free: A Real-Time Normalization-free and Parameter-tuning-free Representation Approach for Open-ended Time Series. - Ming-Chang Lee; Jia-Chun Lin; Volker Stolz (COMPSAC, 2023)

An Explainable Deep Learning-based Approach for Multivariate Time Series Anomaly Detection in IoT. - Aafan Ahmad Toor; Jia-Chun Lin; Ernst Gunnar Gran; Ming-Chang Lee (FIT, 2023)

Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection. - Ming-Chang Lee; Jia-Chun Lin (ICSOFT, 2023)

RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series. - Ming-Chang Lee; Jia-Chun Lin (ICSOFT, 2023)

RePAD2: Real-Time Lightweight Adaptive Anomaly Detection for Open-Ended Time Series. - Ming-Chang Lee; Jia-Chun Lin (IoTBDS, 2023)

Enhancing Multi-Band MIMO Antenna Stability for Various Electronic Applications With Human-Body Interaction Consideration. - Ming-An Chung; Chia-Chun Hsu; Ming-Chang Lee; Chia-Wei Lin (IEEE Access, 2023)

RePAD2: Real-Time, Lightweight, and Adaptive Anomaly Detection for Open-Ended Time Series. - Ming-Chang Lee; Jia-Chun Lin (CoRR, 2023)

Comparative Analysis of Real-Time Time Series Representation Across RNNs, Deep Learning Frameworks, and Early Stopping. - Ming-Chang Lee; Jia-Chun Lin; Sokratis K. Katsikas (KDIR, 2024)

Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-Time Lightweight Time Series Anomaly Detection. - Ming-Chang Lee; Jia-Chun Lin; Sokratis K. Katsikas (ICICS (1), 2024)

Investigating the Privacy Risk of Using Robot Vacuum Cleaners in Smart Environments. - Benjamin Ulsmåg; Jia-Chun Lin; Ming-Chang Lee (ICICS (1), 2024)

Evaluation of K-Means Time Series Clustering Based on Z-Normalization and NP-Free. - Ming-Chang Lee; Jia-Chun Lin; Volker Stolz (ICPRAM, 2024)

IoTective: Automated Penetration Testing for Smart Home Environments. - Kevin Nordnes; Jia-Chun Lin; Ming-Chang Lee; Victor Chang 001 (IoTBDS, 2024)

UoCAD: An Unsupervised Online Contextual Anomaly Detection Approach for Multivariate Time Series from Smart Homes. - Aafan Ahmad Toor; Jia-Chun Lin; Ming-Chang Lee; Ernst Gunnar Gran (IoTBDS, 2024)

GAD: A Real-Time Gait Anomaly Detection System with Online Adaptive Learning. - Ming-Chang Lee; Jia-Chun Lin; Sokratis K. Katsikas (SEC, 2024)

Multi-Band Coupled-Fed Antenna for 4G LTE, Sub-6G, and WLAN Frequency Bands in Various Electronic Devices. - Ming-An Chung; Ming-Chang Lee; Chia-Chun Hsu; Chia-Wei Lin (IEEE Access, 2024)

Exploring the effects of RNNs and deep learning frameworks on real-time, lightweight, adaptive time series anomaly detection. - Ming-Chang Lee; Jia-Chun Lin; Sokratis K. Katsikas (Concurr. Comput. Pract. Exp., 2024)

RePAD3: Advanced Lightweight Adaptive Anomaly Detection for Univariate Time Series of Any Pattern. - Ming-Chang Lee; Jia-Chun Lin; Sokratis K. Katsikas (ICAART (2), 2025)

PacketZapper: A Scalable and Automated Platform for IoT Traffic Collection and Analysis. - Mathias Fredrik Hedberg; Jia-Chun Lin; Ming-Chang Lee (IoTBDS, 2025)