Jia-Chun Lin - RankMe

74 papers B 10C 9Misc 2Journal 36Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Digital Twin-Enabled Incident Detection and Response: A Systematic Review of Critical Infrastructures Applications. Int. J. Inf. Sec. Konstantinos E. Kampourakis, Vasileios Gkioulos, Georgios Kavallieratos, Jia-Chun Lin
2025	J	`jnl`	Exploring the impact of Optimised Hyperparameters on Bi-LSTM-based Contextual Anomaly Detector. CoRR Aafan Ahmad Toor, Jia-Chun Lin, Ernst Gunnar Gran
2025	C	`conf`	PacketZapper: A Scalable and Automated Platform for IoT Traffic Collection and Analysis. IoTBDS Mathias Fredrik Hedberg, Jia-Chun Lin, Ming-Chang Lee
2025	—	`conf`	RePAD3: Advanced Lightweight Adaptive Anomaly Detection for Univariate Time Series of Any Pattern. ICAART (2) Ming-Chang Lee, Jia-Chun Lin, Sokratis K. Katsikas
2025	J	`jnl`	UoCAD2: An unsupervised online contextual anomaly detection approach using optimized hyperparameters of RNNs for multivariate time series. Internet Things Aafan Ahmad Toor, Jia-Chun Lin, Ernst Gunnar Gran
2024	—	`conf`	Comparative Analysis of Real-Time Time Series Representation Across RNNs, Deep Learning Frameworks, and Early Stopping. KDIR Ming-Chang Lee, Jia-Chun Lin, Sokratis K. Katsikas
2024	C	`conf`	Evaluation of K-Means Time Series Clustering Based on Z-Normalization and NP-Free. ICPRAM Ming-Chang Lee, Jia-Chun Lin, Volker Stolz
2024	J	`jnl`	Evaluation of k-means time series clustering based on z-normalization and NP-Free. CoRR Ming-Chang Lee, Jia-Chun Lin, Volker Stolz
2024	J	`jnl`	Exploring the effects of RNNs and deep learning frameworks on real-time, lightweight, adaptive time series anomaly detection. Concurr. Comput. Pract. Exp. Ming-Chang Lee, Jia-Chun Lin, Sokratis K. Katsikas
2024	Misc	`conf`	GAD: A Real-Time Gait Anomaly Detection System with Online Adaptive Learning. SEC Ming-Chang Lee, Jia-Chun Lin, Sokratis K. Katsikas
2024	J	`jnl`	GAD: A Real-time Gait Anomaly Detection System with Online Adaptive Learning. CoRR Ming-Chang Lee, Jia-Chun Lin, Sokratis K. Katsikas
2024	—	`conf`	Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-Time Lightweight Time Series Anomaly Detection. ICICS (1) Ming-Chang Lee, Jia-Chun Lin, Sokratis K. Katsikas
2024	J	`jnl`	Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-time Lightweight Time Series Anomaly Detection. CoRR Ming-Chang Lee, Jia-Chun Lin, Sokratis K. Katsikas
2024	—	`conf`	Investigating the Privacy Risk of Using Robot Vacuum Cleaners in Smart Environments. ICICS (1) Benjamin Ulsmåg, Jia-Chun Lin, Ming-Chang Lee
2024	J	`jnl`	Investigating the Privacy Risk of Using Robot Vacuum Cleaners in Smart Environments. CoRR Benjamin Ulsmåg, Jia-Chun Lin, Ming-Chang Lee
2024	C	`conf`	IoTective: Automated Penetration Testing for Smart Home Environments. IoTBDS Kevin Nordnes, Jia-Chun Lin, Ming-Chang Lee, Victor Chang
2024	C	`conf`	UoCAD: An Unsupervised Online Contextual Anomaly Detection Approach for Multivariate Time Series from Smart Homes. IoTBDS Aafan Ahmad Toor, Jia-Chun Lin, Ming-Chang Lee, Ernst Gunnar Gran
2023	Misc	`conf`	An Explainable Deep Learning-based Approach for Multivariate Time Series Anomaly Detection in IoT. FIT Aafan Ahmad Toor, Jia-Chun Lin, Ernst Gunnar Gran, Ming-Chang Lee
2023	C	`conf`	Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection. ICSOFT Ming-Chang Lee, Jia-Chun Lin
2023	J	`jnl`	Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection. CoRR Ming-Chang Lee, Jia-Chun Lin
2023	B	`conf`	NP-Free: A Real-Time Normalization-free and Parameter-tuning-free Representation Approach for Open-ended Time Series. COMPSAC Ming-Chang Lee, Jia-Chun Lin, Volker Stolz
2023	J	`jnl`	NP-Free: A Real-Time Normalization-free and Parameter-tuning-free Representation Approach for Open-ended Time Series. CoRR Ming-Chang Lee, Jia-Chun Lin, Volker Stolz
2023	C	`conf`	RePAD2: Real-Time Lightweight Adaptive Anomaly Detection for Open-Ended Time Series. IoTBDS Ming-Chang Lee, Jia-Chun Lin
2023	J	`jnl`	RePAD2: Real-Time, Lightweight, and Adaptive Anomaly Detection for Open-Ended Time Series. CoRR Ming-Chang Lee, Jia-Chun Lin
2023	C	`conf`	RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series. ICSOFT Ming-Chang Lee, Jia-Chun Lin
2023	J	`jnl`	RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series. CoRR Ming-Chang Lee, Jia-Chun Lin
2023	—	`conf`	Threats and Risk on Using Digital Technologies for Remote Health Care Process. SIET Pankaj Khatiwada, Muhammad Ali Fauzi, Bian Yang, Prosper Kandabongee Yeng, Jia-Chun Lin, Luyi Sun
2021	J	`jnl`	DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks. CoRR Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
2021	—	`conf`	How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection? AINA (1) Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
2021	J	`jnl`	How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection? CoRR Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
2021	B	`conf`	SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series. COMPSAC Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
2021	J	`jnl`	SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series. CoRR Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
2020	J	`jnl`	A configurable and executable model of Spark Streaming on Apache YARN. Int. J. Grid Util. Comput. Jia-Chun Lin, Ming-Chang Lee, Ingrid Chieh Yu, Einar Broch Johnsen
2020	B	`conf`	DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction. AINA Ming-Chang Lee, Jia-Chun Lin
2020	J	`jnl`	DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction. CoRR Ming-Chang Lee, Jia-Chun Lin
2020	—	`conf`	Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks Based on Automatic LSTM Customization and Sharing. Euro-Par Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
2020	J	`jnl`	Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing. CoRR Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
2020	J	`jnl`	PDS: Deduce Elder Privacy from Smart Homes. CoRR Ming-Chang Lee, Jia-Chun Lin, Olaf Owe
2020	B	`conf`	RePAD: Real-Time Proactive Anomaly Detection for Time Series. AINA Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
2020	J	`jnl`	RePAD: Real-time Proactive Anomaly Detection for Time Series. CoRR Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
2020	B	`conf`	ReRe: A Lightweight Real-Time Ready-to-Go Anomaly Detection Approach for Time Series. COMPSAC Ming-Chang Lee, Jia-Chun Lin, Ernst Gunner Gan
2020	J	`jnl`	ReRe: A Lightweight Real-time Ready-to-Go Anomaly Detection Approach for Time Series. CoRR Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
2019	C	`conf`	A Flexible Framework for Program Evolution and Verification. MODELSWARD Olaf Owe, Jia-Chun Lin, Elahe Fazeldehkordi
2019	—	`conf`	A Framework for Flexible Program Evolution and Verification of Distributed Systems. MODELSWARD (Revised Selected Papers) Olaf Owe, Elahe Fazeldehkordi, Jia-Chun Lin
2019	J	`jnl`	PDS: Deduce elder privacy from smart homes. Internet Things Ming-Chang Lee, Jia-Chun Lin, Olaf Owe
2018	B	`conf`	EasyChoose: A Continuous Feature Extraction and Review Highlighting Scheme on Hadoop YARN. AINA Ming-Chang Lee, Jia-Chun Lin, Olaf Owe
2018	J	`jnl`	Hybrid Job-driven Scheduling for Virtual MapReduce Clusters. CoRR Ming-Chang Lee, Jia-Chun Lin, Ramin Yahyapour
2018	B	`conf`	Modeling and Simulation of Spark Streaming. AINA Jia-Chun Lin, Ming-Chang Lee, Ingrid Chieh Yu, Einar Broch Johnsen
2018	J	`jnl`	Modeling and Simulation of Spark Streaming. CoRR Jia-Chun Lin, Ming-Chang Lee, Ingrid Chieh Yu, Einar Broch Johnsen
2018	J	`jnl`	Performance evaluation of job schedulers on Hadoop YARN. CoRR Jia-Chun Lin, Ming-Chang Lee
2018	—	`conf`	Privacy Mining from IoT-Based Smart Homes. BWCCA Ming-Chang Lee, Jia-Chun Lin, Olaf Owe
2018	J	`jnl`	Privacy Mining from IoT-based Smart Homes. CoRR Ming-Chang Lee, Jia-Chun Lin, Olaf Owe
2017	—	`conf`	A Model-Based Scalability Optimization Methodology for Cloud Applications. SC² Jia-Chun Lin, Jacopo Mauro, Thomas Brox Røst, Ingrid Chieh Yu
2016	B	`conf`	ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters. FASE Jia-Chun Lin, Ingrid Chieh Yu, Einar Broch Johnsen, Ming-Chang Lee
2016	—	`conf`	Comparing AWS Deployments Using Model-Based Predictions. ISoLA (2) Einar Broch Johnsen, Jia-Chun Lin, Ingrid Chieh Yu
2016	J	`jnl`	Hybrid Job-Driven Scheduling for Virtual MapReduce Clusters. IEEE Trans. Parallel Distributed Syst. Ming-Chang Lee, Jia-Chun Lin, Ramin Yahyapour
2016	J	`jnl`	Impacts of Task Re-Execution Policy on MapReduce Jobs. Comput. J. Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen
2016	J	`jnl`	Performance evaluation of job schedulers on Hadoop YARN. Concurr. Comput. Pract. Exp. Jia-Chun Lin, Ming-Chang Lee
2015	J	`jnl`	Analyzing job completion reliability and job energy consumption for a heterogeneous MapReduce cluster under different intermediate-data replication policies. J. Supercomput. Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen
2015	J	`jnl`	Impact of MapReduce Policies on Job Completion Reliability and Job Energy Consumption. IEEE Trans. Parallel Distributed Syst. Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen
2015	J	`jnl`	PAReS: A Proactive and Adaptive Redundant System for MapReduce. J. Inf. Sci. Eng. Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen
2014	B	`conf`	Impact of MapReduce Task Re-execution Policy on Job Completion Reliability and Job Completion Time. AINA Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen, Waqaas Munawar
2014	J	`jnl`	Proactive Distributed Digital Evidence Preservation with Tamper Resistance, Perfect Secrecy and High Survivability. J. Inf. Sci. Eng. Jia-Chun Lin, Shiuhpyng Shieh, Chia-Wei Hsu
2014	—	`conf`	Scheduling MapReduce tasks on virtual MapReduce clusters from a tenant's perspective. IEEE BigData Jia-Chun Lin, Ming-Chang Lee, Ramin Yahyapour
2013	J	`jnl`	Analyzing job completion reliability and job energy consumption for a general MapReduce infrastructure. J. High Speed Networks Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen
2013	—	`conf`	Deriving Job Completion Reliability and Job Energy Consumption for a General MapReduce Infrastructure from Single-Job Perspective. AINA Workshops Jia-Chun Lin, Fang-Yie Leu, Ming-Chang Lee, Ying-Ping Chen
2012	J	`jnl`	A Semi-Preemptive Computational Service System with Limited Resources and Dynamic Resource Ranking. Algorithms Fang-Yie Leu, Keng-Yen Chao, Ming-Chang Lee, Jia-Chun Lin
2011	—	`conf`	Improving Data Grids Performance by Using Popular File Replicate First Algorithm. BWCCA Fang-Yie Leu, Ming-Chang Lee, Jia-Chun Lin
2008	—	`conf`	A Pollution Attack Resistant Multicast Authentication Scheme Tolerant to Packet Loss. SSIRI Warren W. Lin, Shiuhpyng Shieh, Jia-Chun Lin
2008	J	`jnl`	Detection workload in a dynamic grid-based intrusion detection environment. J. Parallel Distributed Comput. Fang-Yie Leu, Ming-Chang Li, Jia-Chun Lin, Chao-Tung Yang
2008	—	`conf`	Lightweight, Distributed Key Agreement Protocol for Wireless Sensor Networks. SSIRI Che-Cheng Lin, Shiuhpyng Shieh, Jia-Chun Lin
2007	C	`conf`	An Enhanced DGIDE Platform for Intrusion Detection. ATC Fang-Yie Leu, Fuu-Cheng Jiang, Ming-Chang Li, Jia-Chun Lin
2005	—	`conf`	A Performance-Based Grid Intrusion Detection System. COMPSAC (1) Fang-Yie Leu, Jia-Chun Lin, Ming-Chang Li, Chao-Tung Yang
2005	B	`conf`	Integrating Grid with Intrusion Detection. AINA Fang-Yie Leu, Jia-Chun Lin, Ming-Chang Li, Chao-Tung Yang, Po-Chi Shih