Jia-Chun Lin

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 48

Top Topics

Home Environments

Multivariate Time Series

Top Venues

Publications

Kevin Nordnes, Jia-Chun Lin, Ming-Chang Lee, Victor Chang
IoTective: Automated Penetration Testing for Smart Home Environments. IoTBDS (2024)
Ming-Chang Lee, Jia-Chun Lin, Sokratis K. Katsikas
GAD: A Real-time Gait Anomaly Detection System with Online Adaptive Learning. CoRR (2024)
Ming-Chang Lee, Jia-Chun Lin, Sokratis K. Katsikas
Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-time Lightweight Time Series Anomaly Detection. CoRR (2024)
Aafan Ahmad Toor, Jia-Chun Lin, Ming-Chang Lee, Ernst Gunnar Gran
UoCAD: An Unsupervised Online Contextual Anomaly Detection Approach for Multivariate Time Series from Smart Homes. IoTBDS (2024)
Ming-Chang Lee, Jia-Chun Lin, Volker Stolz
Evaluation of k-means time series clustering based on z-normalization and NP-Free. CoRR (2024)
Ming-Chang Lee, Jia-Chun Lin, Volker Stolz
Evaluation of K-Means Time Series Clustering Based on Z-Normalization and NP-Free. ICPRAM (2024)
Benjamin Ulsmaag, Jia-Chun Lin, Ming-Chang Lee
Investigating the Privacy Risk of Using Robot Vacuum Cleaners in Smart Environments. CoRR (2024)
Ming-Chang Lee, Jia-Chun Lin
RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series. CoRR (2023)
Ming-Chang Lee, Jia-Chun Lin
RePAD2: Real-Time Lightweight Adaptive Anomaly Detection for Open-Ended Time Series. IoTBDS (2023)
Pankaj Khatiwada, Muhammad Ali Fauzi, Bian Yang, Prosper Kandabongee Yeng, Jia-Chun Lin, Luyi Sun
Threats and Risk on Using Digital Technologies for Remote Health Care Process. SIET (2023)
Aafan Ahmad Toor, Jia-Chun Lin, Ernst Gunnar Gran, Ming-Chang Lee
An Explainable Deep Learning-based Approach for Multivariate Time Series Anomaly Detection in IoT. FIT (2023)
Ming-Chang Lee, Jia-Chun Lin
Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection. CoRR (2023)
Ming-Chang Lee, Jia-Chun Lin, Volker Stolz
NP-Free: A Real-Time Normalization-free and Parameter-tuning-free Representation Approach for Open-ended Time Series. CoRR (2023)
Ming-Chang Lee, Jia-Chun Lin, Volker Stolz
NP-Free: A Real-Time Normalization-free and Parameter-tuning-free Representation Approach for Open-ended Time Series. COMPSAC (2023)
Ming-Chang Lee, Jia-Chun Lin
RePAD2: Real-Time, Lightweight, and Adaptive Anomaly Detection for Open-Ended Time Series. CoRR (2023)
Ming-Chang Lee, Jia-Chun Lin
RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series. ICSOFT (2023)
Ming-Chang Lee, Jia-Chun Lin
Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection. ICSOFT (2023)
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series. COMPSAC (2021)
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series. CoRR (2021)
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection? AINA (1) (2021)
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks. CoRR (2021)
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection? CoRR (2021)
Ming-Chang Lee, Jia-Chun Lin, Olaf Owe
PDS: Deduce Elder Privacy from Smart Homes. CoRR (2020)
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
RePAD: Real-time Proactive Anomaly Detection for Time Series. CoRR (2020)
Ming-Chang Lee, Jia-Chun Lin
DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction. AINA (2020)
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
RePAD: Real-Time Proactive Anomaly Detection for Time Series. AINA (2020)
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks Based on Automatic LSTM Customization and Sharing. Euro-Par (2020)
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing. CoRR (2020)
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
ReRe: A Lightweight Real-time Ready-to-Go Anomaly Detection Approach for Time Series. CoRR (2020)
Ming-Chang Lee, Jia-Chun Lin
DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction. CoRR (2020)
Jia-Chun Lin, Ming-Chang Lee, Ingrid Chieh Yu, Einar Broch Johnsen
A configurable and executable model of Spark Streaming on Apache YARN. Int. J. Grid Util. Comput. 11 (2) (2020)
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunner Gan
ReRe: A Lightweight Real-Time Ready-to-Go Anomaly Detection Approach for Time Series. COMPSAC (2020)
Olaf Owe, Jia-Chun Lin, Elahe Fazeldehkordi
A Flexible Framework for Program Evolution and Verification. MODELSWARD (2019)
Olaf Owe, Elahe Fazeldehkordi, Jia-Chun Lin
A Framework for Flexible Program Evolution and Verification of Distributed Systems. MODELSWARD (Revised Selected Papers) (2019)
Ming-Chang Lee, Jia-Chun Lin, Olaf Owe
PDS: Deduce elder privacy from smart homes. Internet Things 7 (2019)
Jia-Chun Lin, Ming-Chang Lee, Ingrid Chieh Yu, Einar Broch Johnsen
Modeling and Simulation of Spark Streaming. CoRR (2018)
Ming-Chang Lee, Jia-Chun Lin, Olaf Owe
Privacy Mining from IoT-Based Smart Homes. BWCCA (2018)
Ming-Chang Lee, Jia-Chun Lin, Ramin Yahyapour
Hybrid Job-driven Scheduling for Virtual MapReduce Clusters. CoRR (2018)
Jia-Chun Lin, Ming-Chang Lee, Ingrid Chieh Yu, Einar Broch Johnsen
Modeling and Simulation of Spark Streaming. AINA (2018)
Ming-Chang Lee, Jia-Chun Lin, Olaf Owe
Privacy Mining from IoT-based Smart Homes. CoRR (2018)
Ming-Chang Lee, Jia-Chun Lin, Olaf Owe
EasyChoose: A Continuous Feature Extraction and Review Highlighting Scheme on Hadoop YARN. AINA (2018)
Jia-Chun Lin, Ming-Chang Lee
Performance evaluation of job schedulers on Hadoop YARN. CoRR (2018)
Jia-Chun Lin, Jacopo Mauro, Thomas Brox Røst, Ingrid Chieh Yu
A Model-Based Scalability Optimization Methodology for Cloud Applications. SC² (2017)
Ming-Chang Lee, Jia-Chun Lin, Ramin Yahyapour
Hybrid Job-Driven Scheduling for Virtual MapReduce Clusters. IEEE Trans. Parallel Distributed Syst. 27 (6) (2016)
Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen
Impacts of Task Re-Execution Policy on MapReduce Jobs. Comput. J. 59 (5) (2016)
Jia-Chun Lin, Ming-Chang Lee
Performance evaluation of job schedulers on Hadoop YARN. Concurr. Comput. Pract. Exp. 28 (9) (2016)
Einar Broch Johnsen, Jia-Chun Lin, Ingrid Chieh Yu
Comparing AWS Deployments Using Model-Based Predictions. ISoLA (2) (2016)
Jia-Chun Lin, Ingrid Chieh Yu, Einar Broch Johnsen, Ming-Chang Lee
ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters. FASE (2016)
Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen
PAReS: A Proactive and Adaptive Redundant System for MapReduce. J. Inf. Sci. Eng. 31 (5) (2015)
Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen
Analyzing job completion reliability and job energy consumption for a heterogeneous MapReduce cluster under different intermediate-data replication policies. J. Supercomput. 71 (5) (2015)
Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen
Impact of MapReduce Policies on Job Completion Reliability and Job Energy Consumption. IEEE Trans. Parallel Distributed Syst. 26 (5) (2015)
Jia-Chun Lin, Shiuhpyng Shieh, Chia-Wei Hsu
Proactive Distributed Digital Evidence Preservation with Tamper Resistance, Perfect Secrecy and High Survivability. J. Inf. Sci. Eng. 30 (6) (2014)
Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen, Waqaas Munawar
Impact of MapReduce Task Re-execution Policy on Job Completion Reliability and Job Completion Time. AINA (2014)
Jia-Chun Lin, Ming-Chang Lee, Ramin Yahyapour
Scheduling MapReduce tasks on virtual MapReduce clusters from a tenant's perspective. IEEE BigData (2014)
Jia-Chun Lin, Fang-Yie Leu, Ming-Chang Lee, Ying-Ping Chen
Deriving Job Completion Reliability and Job Energy Consumption for a General MapReduce Infrastructure from Single-Job Perspective. AINA Workshops (2013)
Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen
Analyzing job completion reliability and job energy consumption for a general MapReduce infrastructure. J. High Speed Networks 19 (3) (2013)
Fang-Yie Leu, Keng-Yen Chao, Ming-Chang Lee, Jia-Chun Lin
A Semi-Preemptive Computational Service System with Limited Resources and Dynamic Resource Ranking. Algorithms 5 (1) (2012)
Fang-Yie Leu, Ming-Chang Lee, Jia-Chun Lin
Improving Data Grids Performance by Using Popular File Replicate First Algorithm. BWCCA (2011)
Warren W. Lin, Shiuhpyng Shieh, Jia-Chun Lin
A Pollution Attack Resistant Multicast Authentication Scheme Tolerant to Packet Loss. SSIRI (2008)
Fang-Yie Leu, Ming-Chang Li, Jia-Chun Lin, Chao-Tung Yang
Detection workload in a dynamic grid-based intrusion detection environment. J. Parallel Distributed Comput. 68 (4) (2008)
Che-Cheng Lin, Shiuhpyng Shieh, Jia-Chun Lin
Lightweight, Distributed Key Agreement Protocol for Wireless Sensor Networks. SSIRI (2008)
Fang-Yie Leu, Fuu-Cheng Jiang, Ming-Chang Li, Jia-Chun Lin
An Enhanced DGIDE Platform for Intrusion Detection. ATC (2007)
Fang-Yie Leu, Jia-Chun Lin, Ming-Chang Li, Chao-Tung Yang
A Performance-Based Grid Intrusion Detection System. COMPSAC (1) (2005)
Fang-Yie Leu, Jia-Chun Lin, Ming-Chang Li, Chao-Tung Yang, Po-Chi Shih
Integrating Grid with Intrusion Detection. AINA (2005)