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Jia-Chun Lin

Jia-Chun Lin

Førsteamanuensis
Institutt for informasjonssikkerhet og kommunikasjonsteknologi

jia-chun.lin@ntnu.no
Ametyst-bygget, A117, Gjøvik
Google Scholar
Publikasjoner Undervisning

Publikasjoner

  • Kronologisk
  • Etter kategori
  • Se alle publikasjoner i Cristin

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. volum 2675 (10).
    Vitenskapelig artikkel
  • 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?. Advanced Information Networking and Applications: Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 1.
    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. Proceedings of 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC).
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2020

  • Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar. (2020) RePAD: Real-Time Proactive Anomaly Detection for Time Series. Proceedings of the 34th International Conference on Advanced Information Networking and Applications (AINA 2020).
    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. Euro-Par 2020: Euro-Par 2020: Parallel Processing.
    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. 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC).
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Lee, Ming-Chang; Lin, Jia-Chun. (2020) DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction. Proceedings of the 34th International Conference on Advanced Information Networking and Applications (AINA 2020).
    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). volum 11 (2).
    Vitenskapelig artikkel
  • 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. volum 1161 CCIS.
    Vitenskapelig artikkel

2019

  • Lee, Ming-Chang; Lin, Jia-Chun; Owe, Olaf. (2019) PDS: Deduce elder privacy from smart homes. nternet of Things: Engineering Cyber Physical Human Systems. volum 7.
    Vitenskapelig artikkel
  • Owe, Olaf; Lin, Jia-Chun; Fazeldehkordi, Elahe. (2019) A Flexible Framework for Program Evolution and Verification. Modelsward 2019.
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

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

  • Johnsen, Einar Broch; Lin, Jia-Chun; Yu, Ingrid Chieh. (2016) Comparing AWS Deployments Using Model-Based Predictions. Lecture Notes in Computer Science (LNCS). volum 9953.
    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. volum 27 (6).
    Vitenskapelig artikkel
  • Lin, Jia-Chun; Lee, Ming-Chang. (2016) Performance evaluation of job schedulers on Hadoop YARN. Concurrency and Computation. volum 28 (9).
    Vitenskapelig artikkel
  • Lin, Jia-Chun; Leu, Fang-Yie; Chen, Ying-Ping. (2016) Impacts of Task Re-Execution Policy on MapReduce Jobs. Computer journal. volum 59 (5).
    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. Fundamental Approaches to Software Engineering: 19th International Conference, FASE 2016, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2016, Eindhoven, The Netherlands, April 2-8, 2016, Proceedings.
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Tidsskriftspublikasjoner

  • 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. volum 2675 (10).
    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). volum 11 (2).
    Vitenskapelig artikkel
  • 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. volum 1161 CCIS.
    Vitenskapelig artikkel
  • Lee, Ming-Chang; Lin, Jia-Chun; Owe, Olaf. (2019) PDS: Deduce elder privacy from smart homes. nternet of Things: Engineering Cyber Physical Human Systems. volum 7.
    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. volum 2018-May.
    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
  • Lin, Jia-Chun; Lee, Ming-Chang; Yu, Ingrid Chieh; Johnsen, Einar Broch. (2018) Modeling and simulation of spark streaming. Advanced Information Networking and Applications. volum 2018-May.
    Vitenskapelig artikkel
  • 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
  • Johnsen, Einar Broch; Lin, Jia-Chun; Yu, Ingrid Chieh. (2016) Comparing AWS Deployments Using Model-Based Predictions. Lecture Notes in Computer Science (LNCS). volum 9953.
    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. volum 27 (6).
    Vitenskapelig artikkel
  • Lin, Jia-Chun; Lee, Ming-Chang. (2016) Performance evaluation of job schedulers on Hadoop YARN. Concurrency and Computation. volum 28 (9).
    Vitenskapelig artikkel
  • Lin, Jia-Chun; Leu, Fang-Yie; Chen, Ying-Ping. (2016) Impacts of Task Re-Execution Policy on MapReduce Jobs. Computer journal. volum 59 (5).
    Vitenskapelig artikkel

Del av bok/rapport

  • 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?. Advanced Information Networking and Applications: Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 1.
    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. Proceedings of 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC).
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar. (2020) RePAD: Real-Time Proactive Anomaly Detection for Time Series. Proceedings of the 34th International Conference on Advanced Information Networking and Applications (AINA 2020).
    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. Euro-Par 2020: Euro-Par 2020: Parallel Processing.
    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. 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC).
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Lee, Ming-Chang; Lin, Jia-Chun. (2020) DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction. Proceedings of the 34th International Conference on Advanced Information Networking and Applications (AINA 2020).
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Owe, Olaf; Lin, Jia-Chun; Fazeldehkordi, Elahe. (2019) A Flexible Framework for Program Evolution and Verification. Modelsward 2019.
    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. Fundamental Approaches to Software Engineering: 19th International Conference, FASE 2016, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2016, Eindhoven, The Netherlands, April 2-8, 2016, Proceedings.
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

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