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
  Academic anthology/Conference proceedings
• 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
  Academic chapter/article/Conference paper
• 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
  Academic chapter/article/Conference paper
• Lee, Ming-Chang; Lin, Jia-Chun; Stolz, Volker. (2024) Evaluation of K-Means Time Series Clustering Based on Z-Normalization and NP-Free. SciTePress
  Academic chapter/article/Conference paper
• Lee, Ming-Chang; Lin, Jia-Chun; Katsikas, Sokratis. (2024) GAD: A Real-Time Gait Anomaly Detection System with Online Adaptive Learning. Springer
  Academic chapter/article/Conference paper
• Nordnes, Kevin; Lin, Jia-Chun; Lee, Ming-Chang; Chang, Victor. (2024) IoTective: Automated Penetration Testing for Smart Home Environments. SciTePress
  Academic chapter/article/Conference paper

2023

• 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
  Academic chapter/article/Conference paper
• Lee, Ming-Chang; Lin, Jia-Chun. (2023) RePAD2: Real-Time, Lightweight, and Adaptive Anomaly Detection for Open-Ended Time Series. SciTePress
  Academic chapter/article/Conference paper
• Lee, Ming-Chang; Lin, Jia-Chun. (2023) RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series. SciTePress
  Academic chapter/article/Conference paper
• Lee, Ming-Chang; Lin, Jia-Chun. (2023) Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection. SciTePress
  Academic chapter/article/Conference paper

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
  Academic article
• 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
  Academic chapter/article/Conference paper
• 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
  Academic chapter/article/Conference paper

2020

• Lee, Ming-Chang; Lin, Jia-Chun. (2020) DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction. Springer
  Academic chapter/article/Conference paper
• 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)
  Academic anthology/Conference proceedings
• Lee, Ming-Chang. (2020) Euro-Par 2020: Euro-Par 2020: Parallel Processing. Springer Lecture Notes in Computer Science (LNCS) (0)
  Academic anthology/Conference proceedings
• 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
  Academic chapter/article/Conference paper
• Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar. (2020) RePAD: Real-Time Proactive Anomaly Detection for Time Series. Springer
  Academic chapter/article/Conference paper
• 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
  Academic chapter/article/Conference paper
• 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)
  Academic article

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
  Academic article

2018

• 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
  Academic article
• Lin, Jia-Chun; Lee, Ming-Chang; Yu, Ingrid Chieh; Johnsen, Einar Broch. (2018) Modeling and simulation of spark streaming. Advanced Information Networking and Applications
  Academic article
• 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
  Academic article

2016

• Lin, Jia-Chun; Lee, Ming-Chang. (2016) Performance evaluation of job schedulers on Hadoop YARN. Concurrency and Computation
  Academic article
• Lin, Jia-Chun; Yu, Ingrid Chieh; Johnsen, Einar Broch; Lee, Ming-Chang. (2016) ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters. Springer
  Academic chapter/article/Conference paper
• Lee, Ming-Chang; Lin, Jia-Chun; Yahyapour, Ramin. (2016) Hybrid Job-Driven Scheduling for Virtual MapReduce Clusters. IEEE Transactions on Parallel and Distributed Systems
  Academic article