Ming-Chang Lee
Publikasjoner
2024
-
Lee, Ming-Chang.
(2024)
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2024, Rome, Italy, February 24-26, 2024.
SciTePress
SciTePress
Vitenskapelig antologi/Konferanseserie
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Katsikas, Sokratis.
(2024)
GAD: A Real-Time Gait Anomaly Detection System with Online Adaptive Learning.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Stolz, Volker.
(2024)
Evaluation of K-Means Time Series Clustering Based on Z-Normalization and NP-Free.
SciTePress
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Toor, Aafan Ahmad;
Lin, Jia-Chun;
Gran, Ernst Gunnar;
Lee, Ming-Chang.
(2024)
UoCAD: An Unsupervised Online Contextual Anomaly Detection Approach for Multivariate Time Series from Smart Homes.
SciTePress
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Toor, Aafan Ahmad;
Lin, Jia-Chun;
Gran, Ernst Gunnar;
Lee, Ming-Chang.
(2024)
An Explainable Deep Learning-based Approach for Multivariate Time Series Anomaly Detection in IoT.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Nordnes, Kevin;
Lin, Jia-Chun;
Lee, Ming-Chang;
Chang, Victor.
(2024)
IoTective: Automated Penetration Testing for Smart Home Environments.
SciTePress
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Katsikas, Sokratis.
(2024)
Exploring the effects of RNNs and deep learning frameworks on real-time, lightweight, adaptive time series anomaly detection.
Concurrency and Computation
Vitenskapelig artikkel
2023
-
Lee, Ming-Chang;
Lin, Jia-Chun.
(2023)
RePAD2: Real-Time, Lightweight, and Adaptive Anomaly Detection for Open-Ended Time Series.
SciTePress
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Stolz, Volker.
(2023)
NP-Free: A Real-Time Normalization-free and Parameter-tuning-free Representation Approach for Open-ended Time Series.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun.
(2023)
Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection.
SciTePress
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun.
(2023)
RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series.
SciTePress
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2021
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2021)
DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks.
Transportation Research Record
Vitenskapelig artikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2021)
SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2021)
How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection?.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2020
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2020)
ReRe: A Lightweight Real-Time Ready-to-Go Anomaly Detection Approach for Time Series.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lin, Jia-Chun;
Lee, Ming-Chang;
Yu, Ingrid Chieh;
Johnsen, Einar Broch.
(2020)
A Configurable and Executable Model of Spark Streaming on Apache YARN.
International Journal of Grid and Utility Computing (IJGUC)
Vitenskapelig artikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2020)
RePAD: Real-Time Proactive Anomaly Detection for Time Series.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lee, Ming-Chang.
(2020)
Euro-Par 2020: Euro-Par 2020: Parallel Processing.
Springer
Lecture Notes in Computer Science (LNCS) (0)
Vitenskapelig antologi/Konferanseserie
-
Lee, Ming-Chang.
(2020)
Proceedings of the 34th International Conference on Advanced Information Networking and Applications (AINA 2020).
Springer
Advances in Intelligent Systems and Computing (0)
Vitenskapelig antologi/Konferanseserie
-
Lee, Ming-Chang;
Lin, Jia-Chun.
(2020)
DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2020)
Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2019
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Owe, Olaf.
(2019)
PDS: Deduce elder privacy from smart homes.
Internet of Things: Engineering Cyber Physical Human Systems
Vitenskapelig artikkel
2018
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Owe, Olaf.
(2018)
Privacy Mining from IoT-based Smart Homes (Online version).
Lecture Notes on Data Engineering and Communications Technologies
Vitenskapelig artikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Owe, Olaf.
(2018)
EasyChoose: A Continuous Feature Extraction and Review Highlighting Scheme on Hadoop YARN.
Advanced Information Networking and Applications
Vitenskapelig artikkel
-
Lin, Jia-Chun;
Lee, Ming-Chang;
Yu, Ingrid Chieh;
Johnsen, Einar Broch.
(2018)
Modeling and simulation of spark streaming.
Advanced Information Networking and Applications
Vitenskapelig artikkel
2016
-
Lin, Jia-Chun;
Lee, Ming-Chang.
(2016)
Performance evaluation of job schedulers on Hadoop YARN.
Concurrency and Computation
Vitenskapelig artikkel
-
Lin, Jia-Chun;
Yu, Ingrid Chieh;
Johnsen, Einar Broch;
Lee, Ming-Chang.
(2016)
ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Yahyapour, Ramin.
(2016)
Hybrid Job-Driven Scheduling for Virtual MapReduce Clusters.
IEEE Transactions on Parallel and Distributed Systems
Vitenskapelig artikkel
Tidsskriftspublikasjoner
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Katsikas, Sokratis.
(2024)
Exploring the effects of RNNs and deep learning frameworks on real-time, lightweight, adaptive time series anomaly detection.
Concurrency and Computation
Vitenskapelig artikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2021)
DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks.
Transportation Research Record
Vitenskapelig artikkel
-
Lin, Jia-Chun;
Lee, Ming-Chang;
Yu, Ingrid Chieh;
Johnsen, Einar Broch.
(2020)
A Configurable and Executable Model of Spark Streaming on Apache YARN.
International Journal of Grid and Utility Computing (IJGUC)
Vitenskapelig artikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Owe, Olaf.
(2019)
PDS: Deduce elder privacy from smart homes.
Internet of Things: Engineering Cyber Physical Human Systems
Vitenskapelig artikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Owe, Olaf.
(2018)
Privacy Mining from IoT-based Smart Homes (Online version).
Lecture Notes on Data Engineering and Communications Technologies
Vitenskapelig artikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Owe, Olaf.
(2018)
EasyChoose: A Continuous Feature Extraction and Review Highlighting Scheme on Hadoop YARN.
Advanced Information Networking and Applications
Vitenskapelig artikkel
-
Lin, Jia-Chun;
Lee, Ming-Chang;
Yu, Ingrid Chieh;
Johnsen, Einar Broch.
(2018)
Modeling and simulation of spark streaming.
Advanced Information Networking and Applications
Vitenskapelig artikkel
-
Lin, Jia-Chun;
Lee, Ming-Chang.
(2016)
Performance evaluation of job schedulers on Hadoop YARN.
Concurrency and Computation
Vitenskapelig artikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Yahyapour, Ramin.
(2016)
Hybrid Job-Driven Scheduling for Virtual MapReduce Clusters.
IEEE Transactions on Parallel and Distributed Systems
Vitenskapelig artikkel
Bøker
-
Lee, Ming-Chang.
(2024)
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2024, Rome, Italy, February 24-26, 2024.
SciTePress
SciTePress
Vitenskapelig antologi/Konferanseserie
-
Lee, Ming-Chang.
(2020)
Euro-Par 2020: Euro-Par 2020: Parallel Processing.
Springer
Lecture Notes in Computer Science (LNCS) (0)
Vitenskapelig antologi/Konferanseserie
-
Lee, Ming-Chang.
(2020)
Proceedings of the 34th International Conference on Advanced Information Networking and Applications (AINA 2020).
Springer
Advances in Intelligent Systems and Computing (0)
Vitenskapelig antologi/Konferanseserie
Del av bok/rapport
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Katsikas, Sokratis.
(2024)
GAD: A Real-Time Gait Anomaly Detection System with Online Adaptive Learning.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Stolz, Volker.
(2024)
Evaluation of K-Means Time Series Clustering Based on Z-Normalization and NP-Free.
SciTePress
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Toor, Aafan Ahmad;
Lin, Jia-Chun;
Gran, Ernst Gunnar;
Lee, Ming-Chang.
(2024)
UoCAD: An Unsupervised Online Contextual Anomaly Detection Approach for Multivariate Time Series from Smart Homes.
SciTePress
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Toor, Aafan Ahmad;
Lin, Jia-Chun;
Gran, Ernst Gunnar;
Lee, Ming-Chang.
(2024)
An Explainable Deep Learning-based Approach for Multivariate Time Series Anomaly Detection in IoT.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Nordnes, Kevin;
Lin, Jia-Chun;
Lee, Ming-Chang;
Chang, Victor.
(2024)
IoTective: Automated Penetration Testing for Smart Home Environments.
SciTePress
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun.
(2023)
RePAD2: Real-Time, Lightweight, and Adaptive Anomaly Detection for Open-Ended Time Series.
SciTePress
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Stolz, Volker.
(2023)
NP-Free: A Real-Time Normalization-free and Parameter-tuning-free Representation Approach for Open-ended Time Series.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun.
(2023)
Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection.
SciTePress
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun.
(2023)
RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series.
SciTePress
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2021)
SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2021)
How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection?.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2020)
ReRe: A Lightweight Real-Time Ready-to-Go Anomaly Detection Approach for Time Series.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2020)
RePAD: Real-Time Proactive Anomaly Detection for Time Series.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun.
(2020)
DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2020)
Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lin, Jia-Chun;
Yu, Ingrid Chieh;
Johnsen, Einar Broch;
Lee, Ming-Chang.
(2016)
ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Formidling
2023
-
Vitenskapelig foredragToor, Aafan Ahmad; Lin, Jia-Chun; Gran, Ernst Gunnar; Lee, Ming-Chang. (2023) An Explainable Deep Learning-based Approach for Multivariate Time Series Anomaly Detection in IoT. Frontiers of Information Technology (FIT) 2023-12-11 - 2023-12-12
2020
-
Vitenskapelig foredragLee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar. (2020) Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing. The 26th International European Conference on Parallel and Distributed Computing (EURO-PAR 2020) 2020-08-24 - 2020-08-28
-
Vitenskapelig foredragLee, Ming-Chang; Lin, Jia-Chun. (2020) DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction. The 34th International Conference on Advanced Information Networking and Applications (AINA 2020) 2020-04-15 - 2020-04-17
2016
-
Vitenskapelig foredragLin, Jia-Chun; Yu, Ingrid Chieh; Johnsen, Einar Broch; Lee, Ming-Chang. (2016) ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters. 19th International Conference on Fundamental Approaches to Software Engineering 2016-04-02 - 2016-04-08