Ming-Chang Lee

79 papers B 10C 9Misc 3Journal 40Unranked 17
YearRankTypeTitle / Venue / Authors
2025 C conf
PacketZapper: A Scalable and Automated Platform for IoT Traffic Collection and Analysis.
IoTBDS
Mathias Fredrik Hedberg, Jia-Chun Lin, Ming-Chang Lee
2025 — conf
RePAD3: Advanced Lightweight Adaptive Anomaly Detection for Univariate Time Series of Any Pattern.
ICAART (2)
Ming-Chang Lee, Jia-Chun Lin, Sokratis K. Katsikas
2024 — conf
Comparative Analysis of Real-Time Time Series Representation Across RNNs, Deep Learning Frameworks, and Early Stopping.
KDIR
Ming-Chang Lee, Jia-Chun Lin, Sokratis K. Katsikas
2024 C conf
Evaluation of K-Means Time Series Clustering Based on Z-Normalization and NP-Free.
ICPRAM
Ming-Chang Lee, Jia-Chun Lin, Volker Stolz
2024 J jnl
Evaluation of k-means time series clustering based on z-normalization and NP-Free.
CoRR
Ming-Chang Lee, Jia-Chun Lin, Volker Stolz
2024 J jnl
Exploring the effects of RNNs and deep learning frameworks on real-time, lightweight, adaptive time series anomaly detection.
Concurr. Comput. Pract. Exp.
Ming-Chang Lee, Jia-Chun Lin, Sokratis K. Katsikas
2024 Misc conf
GAD: A Real-Time Gait Anomaly Detection System with Online Adaptive Learning.
SEC
Ming-Chang Lee, Jia-Chun Lin, Sokratis K. Katsikas
2024 J jnl
GAD: A Real-time Gait Anomaly Detection System with Online Adaptive Learning.
CoRR
Ming-Chang Lee, Jia-Chun Lin, Sokratis K. Katsikas
2024 — conf
Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-Time Lightweight Time Series Anomaly Detection.
ICICS (1)
Ming-Chang Lee, Jia-Chun Lin, Sokratis K. Katsikas
2024 J jnl
Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-time Lightweight Time Series Anomaly Detection.
CoRR
Ming-Chang Lee, Jia-Chun Lin, Sokratis K. Katsikas
2024 — conf
Investigating the Privacy Risk of Using Robot Vacuum Cleaners in Smart Environments.
ICICS (1)
Benjamin Ulsmåg, Jia-Chun Lin, Ming-Chang Lee
2024 J jnl
Investigating the Privacy Risk of Using Robot Vacuum Cleaners in Smart Environments.
CoRR
Benjamin Ulsmåg, Jia-Chun Lin, Ming-Chang Lee
2024 C conf
IoTective: Automated Penetration Testing for Smart Home Environments.
IoTBDS
Kevin Nordnes, Jia-Chun Lin, Ming-Chang Lee, Victor Chang
2024 J jnl
Multi-Band Coupled-Fed Antenna for 4G LTE, Sub-6G, and WLAN Frequency Bands in Various Electronic Devices.
IEEE Access
Ming-An Chung, Ming-Chang Lee, Chia-Chun Hsu, Chia-Wei Lin
2024 C conf
UoCAD: An Unsupervised Online Contextual Anomaly Detection Approach for Multivariate Time Series from Smart Homes.
IoTBDS
Aafan Ahmad Toor, Jia-Chun Lin, Ming-Chang Lee, Ernst Gunnar Gran
2023 Misc conf
An Explainable Deep Learning-based Approach for Multivariate Time Series Anomaly Detection in IoT.
FIT
Aafan Ahmad Toor, Jia-Chun Lin, Ernst Gunnar Gran, Ming-Chang Lee
2023 J jnl
Enhancing Multi-Band MIMO Antenna Stability for Various Electronic Applications With Human-Body Interaction Consideration.
IEEE Access
Ming-An Chung, Chia-Chun Hsu, Ming-Chang Lee, Chia-Wei Lin
2023 C conf
Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection.
ICSOFT
Ming-Chang Lee, Jia-Chun Lin
2023 J jnl
Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection.
CoRR
Ming-Chang Lee, Jia-Chun Lin
2023 B conf
NP-Free: A Real-Time Normalization-free and Parameter-tuning-free Representation Approach for Open-ended Time Series.
COMPSAC
Ming-Chang Lee, Jia-Chun Lin, Volker Stolz
2023 J jnl
NP-Free: A Real-Time Normalization-free and Parameter-tuning-free Representation Approach for Open-ended Time Series.
CoRR
Ming-Chang Lee, Jia-Chun Lin, Volker Stolz
2023 C conf
RePAD2: Real-Time Lightweight Adaptive Anomaly Detection for Open-Ended Time Series.
IoTBDS
Ming-Chang Lee, Jia-Chun Lin
2023 J jnl
RePAD2: Real-Time, Lightweight, and Adaptive Anomaly Detection for Open-Ended Time Series.
CoRR
Ming-Chang Lee, Jia-Chun Lin
2023 C conf
RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series.
ICSOFT
Ming-Chang Lee, Jia-Chun Lin
2023 J jnl
RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series.
CoRR
Ming-Chang Lee, Jia-Chun Lin
2021 J jnl
DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks.
CoRR
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
2021 — conf
How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection?
AINA (1)
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
2021 J jnl
How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection?
CoRR
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
2021 B conf
SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series.
COMPSAC
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
2021 J jnl
SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series.
CoRR
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
2020 J jnl
A configurable and executable model of Spark Streaming on Apache YARN.
Int. J. Grid Util. Comput.
Jia-Chun Lin, Ming-Chang Lee, Ingrid Chieh Yu, Einar Broch Johnsen
2020 B conf
DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction.
AINA
Ming-Chang Lee, Jia-Chun Lin
2020 J jnl
DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction.
CoRR
Ming-Chang Lee, Jia-Chun Lin
2020 — conf
Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks Based on Automatic LSTM Customization and Sharing.
Euro-Par
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
2020 J jnl
Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing.
CoRR
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
2020 J jnl
PDS: Deduce Elder Privacy from Smart Homes.
CoRR
Ming-Chang Lee, Jia-Chun Lin, Olaf Owe
2020 B conf
RePAD: Real-Time Proactive Anomaly Detection for Time Series.
AINA
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
2020 J jnl
RePAD: Real-time Proactive Anomaly Detection for Time Series.
CoRR
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
2020 B conf
ReRe: A Lightweight Real-Time Ready-to-Go Anomaly Detection Approach for Time Series.
COMPSAC
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunner Gan
2020 J jnl
ReRe: A Lightweight Real-time Ready-to-Go Anomaly Detection Approach for Time Series.
CoRR
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
2019 C conf
Adaptive Write Interference Management with Efficient Mapping for Shingled Recording Disks.
ICCD
Ming-Chang Lee, Li-Pin Chang, Sung-Ming Wu, Wei-Shang Yui
2019 J jnl
PDS: Deduce elder privacy from smart homes.
Internet Things
Ming-Chang Lee, Jia-Chun Lin, Olaf Owe
2018 B conf
EasyChoose: A Continuous Feature Extraction and Review Highlighting Scheme on Hadoop YARN.
AINA
Ming-Chang Lee, Jia-Chun Lin, Olaf Owe
2018 J jnl
Hybrid Job-driven Scheduling for Virtual MapReduce Clusters.
CoRR
Ming-Chang Lee, Jia-Chun Lin, Ramin Yahyapour
2018 B conf
Modeling and Simulation of Spark Streaming.
AINA
Jia-Chun Lin, Ming-Chang Lee, Ingrid Chieh Yu, Einar Broch Johnsen
2018 J jnl
Modeling and Simulation of Spark Streaming.
CoRR
Jia-Chun Lin, Ming-Chang Lee, Ingrid Chieh Yu, Einar Broch Johnsen
2018 J jnl
Performance evaluation of job schedulers on Hadoop YARN.
CoRR
Jia-Chun Lin, Ming-Chang Lee
2018 — conf
Privacy Mining from IoT-Based Smart Homes.
BWCCA
Ming-Chang Lee, Jia-Chun Lin, Olaf Owe
2018 J jnl
Privacy Mining from IoT-based Smart Homes.
CoRR
Ming-Chang Lee, Jia-Chun Lin, Olaf Owe
2016 B conf
ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters.
FASE
Jia-Chun Lin, Ingrid Chieh Yu, Einar Broch Johnsen, Ming-Chang Lee
2016 J jnl
Hybrid Job-Driven Scheduling for Virtual MapReduce Clusters.
IEEE Trans. Parallel Distributed Syst.
Ming-Chang Lee, Jia-Chun Lin, Ramin Yahyapour
2016 J jnl
Performance evaluation of job schedulers on Hadoop YARN.
Concurr. Comput. Pract. Exp.
Jia-Chun Lin, Ming-Chang Lee
2015 J jnl
Pareto-based cache replacement for YouTube.
World Wide Web
Ming-Chang Lee, Fang-Yie Leu, Ying-Ping Chen
2015 B conf
ReMBF: A Reliable Multicast Brute-Force Co-allocation Scheme for Multi-user Data Grids.
COMPSAC
Ming-Chang Lee, Fang-Yie Leu, Ying-Ping Chen
2014 B conf
Cache Replacement Algorithms for YouTube.
AINA
Ming-Chang Lee, Fang-Yie Leu, Ying-Ping Chen
2014 — conf
Developing a Performance-Analysis Model for a Star-Topology Data Grid from Multi-user Perspective.
INCoS
Ming-Chang Lee, Fang-Yie Leu, Ying-Ping Chen
2014 Misc conf
Inference and diagnosis model based on Bayesian network and rough sets theory.
ICMLC
Jui-Fang Chang, Jung-Fang Cheng, Ming-Chang Lee
2014 — conf
Scheduling MapReduce tasks on virtual MapReduce clusters from a tenant's perspective.
IEEE BigData
Jia-Chun Lin, Ming-Chang Lee, Ramin Yahyapour
2013 — conf
Deriving Job Completion Reliability and Job Energy Consumption for a General MapReduce Infrastructure from Single-Job Perspective.
AINA Workshops
Jia-Chun Lin, Fang-Yie Leu, Ming-Chang Lee, Ying-Ping Chen
2013 — conf
Observation of strong transverse magneto-optical Kerr effect on surface plasmonic gratings.
NEMS
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
2013 — conf
TSR: Topology Reduction from Tree to Star Data Grids.
IMIS
Ming-Chang Lee, Fang-Yie Leu, Ying-Ping Chen
2013 J jnl
Tradeoff Analysis for Optimal Multiobjective Inventory Model.
J. Appl. Math.
Longsheng Cheng, Ching-Shih Tsou, Ming-Chang Lee, Li-Hua Huang, Dingwei Song, Wei-Shan Teng
2012 J jnl
A Semi-Preemptive Computational Service System with Limited Resources and Dynamic Resource Ranking.
Algorithms
Fang-Yie Leu, Keng-Yen Chao, Ming-Chang Lee, Jia-Chun Lin
2012 J jnl
PFRF: An adaptive data replication algorithm based on star-topology data grids.
Future Gener. Comput. Syst.
Ming-Chang Lee, Fang-Yie Leu, Ying-Ping Chen
2012 — conf
Ultra compact Silicon microring filter.
WOCC
Chih-Wei Tseng, Chih-Wei Tsai, Ming-Chang Lee, Yung-Jui Chen
2011 — conf
Improving Data Grids Performance by Using Popular File Replicate First Algorithm.
BWCCA
Fang-Yie Leu, Ming-Chang Lee, Jia-Chun Lin
2011 J jnl
Rule Extraction Based on Rough Fuzzy Sets in Fuzzy Information Systems.
Trans. Comput. Collect. Intell.
Ming-Chang Lee, To Chang
2010 J jnl
A warehouse management system with sequential picking for multi-container deliveries.
Comput. Ind. Eng.
Jiun-Yan Shiau, Ming-Chang Lee
2010 J jnl
Comparison of Support Vector Machine and Back Propagation Neural Network in Evaluating the Enterprise Financial Distress
CoRR
Ming-Chang Lee, To Chang
2009 C conf
A Divide-and-Conquer Strategy and PVM Computation Environment for the Matrix Multiplication.
ICA3PP
Ming-Chang Lee
2009 J jnl
An Enterprise Financial Evaluation Model Based on Rough Set theory with Information Entropy.
J. Digit. Content Technol. its Appl.
Ming-Chang Lee
2009 — conf
Enterprise Financial Status Synthetic Evaluation Based on Fuzzy Rough Set Theory.
KES-AMSTA
Ming-Chang Lee, Jui-Fang Chang
2009 — conf
Knowledge Value Chain Model Implemented for Supply Chain Management Performance.
NCM
Ming-Chang Lee, Mei-Wen Han
2007 J jnl
Applying ISO 17799: 2005 in information security management.
Int. J. Serv. Stand.
Ming-Chang Lee, To Chang
2007 J jnl
Development Multi-Enterprise Collaborative Enterprise intelligent decision support system.
J. Convergence Inf. Technol.
Ming-Chang Lee, Jung-Fang Cheng
2006 J jnl
Applying TQM, CMM and ISO 9001 in Knowledge Management for software development process improvement.
Int. J. Serv. Stand.
Ming-Chang Lee, To Chang
2005 — conf
Statistical Data Analysis for Software Metrics Validation.
KES (4)
Ming-Chang Lee
2004 J jnl
An object-oriented analysis method for customer relationship management information systems.
Inf. Softw. Technol.
Jyhjong Lin, Ming-Chang Lee
2002 J jnl
Implementation of executive information systems in the client/server environment: an approach developed from the case study.
Int. J. Inf. Technol. Manag.
Jung Lyu Jr., Ming-Chang Lee, Jyh-Hong Ding, A. Gunasekaran