2024

• Khatiwada, Pankaj; Yang, Bian; Lin, Jia-Chun; Mugurusi, Godfrey; Underbekken, Stian. (2024) A Reference Design Model to Manage Consent in Data Subjects-Centered Internet of Things Devices. Material Design & Processing Communications (MDPC)
  Vitenskapelig artikkel
• Khatiwada, Pankaj; Yang, Bian; Lin, Jia-Chun; Blobel, Bernd. (2024) Patient-Generated Health Data (PGHD): Understanding, Requirements, Challenges, and Existing Techniques for Data Security and Privacy. Journal of Personalized Medicine
  Vitenskapelig oversiktsartikkel/review
• Nordnes, Kevin; Lin, Jia-Chun; Lee, Ming-Chang; Chang, Victor. (2024) IoTective: Automated Penetration Testing for Smart Home Environments. 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
• 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
• 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

• Khatiwada, Pankaj; Fauzi, Muhammad Ali; Yang, Bian; Lin, Jia-Chun; Yeng, Prosper Kandabongee; Sun, Luyi. (2023) Threats and Risk on Using Digital Technologies for Remote Health Care Process. Association for Computing Machinery (ACM) Association for Computing Machinery (ACM)
  Vitenskapelig antologi/Konferanseserie
• 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

• Owe, Olaf; Fazeldehkordi, Elahe; Lin, Jia-Chun. (2020) A Framework for Flexible Program Evolution and Verification of Distributed Systems. Communications in Computer and Information Science (CCIS)
  Vitenskapelig artikkel
• 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; 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
• Owe, Olaf; Lin, Jia-Chun; Fazeldehkordi, Elahe. (2019) A Flexible Framework for Program Evolution and Verification. SciTePress
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

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

2017

• Lin, Jia-Chun; Mauro, Jacopo; Røst, Thomas Brox; Yu, Ingrid Chieh. (2017) A model-Based Scalability Optimization Methodology for Cloud Applications. Proceedings of the IEEE
  Vitenskapelig artikkel

2016

• Lin, Jia-Chun; Lee, Ming-Chang. (2016) Performance evaluation of job schedulers on Hadoop YARN. Concurrency and Computation
  Vitenskapelig artikkel
• Johnsen, Einar Broch; Lin, Jia-Chun; Yu, Ingrid Chieh. (2016) Comparing AWS Deployments Using Model-Based Predictions. Lecture Notes in Computer Science (LNCS)
  Vitenskapelig artikkel
• Lin, Jia-Chun; Leu, Fang-Yie; Chen, Ying-Ping. (2016) Impacts of Task Re-Execution Policy on MapReduce Jobs. Computer journal
  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