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Jia-Chun Lin
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2020 – today
- 2024
- [c34]Ming-Chang Lee, Jia-Chun Lin, Sokratis K. Katsikas:
Comparative Analysis of Real-Time Time Series Representation Across RNNs, Deep Learning Frameworks, and Early Stopping. KDIR 2024: 371-382 - [c33]Ming-Chang Lee, Jia-Chun Lin, Volker Stolz:
Evaluation of K-Means Time Series Clustering Based on Z-Normalization and NP-Free. ICPRAM 2024: 469-477 - [c32]Kevin Nordnes, Jia-Chun Lin, Ming-Chang Lee, Victor Chang:
IoTective: Automated Penetration Testing for Smart Home Environments. IoTBDS 2024: 29-39 - [c31]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: 86-96 - [c30]Ming-Chang Lee
, Jia-Chun Lin
GAD: A Real-Time Gait Anomaly Detection System with Online Adaptive Learning. SEC 2024: 308-322 - [i20]Ming-Chang Lee, Jia-Chun Lin, Volker Stolz:
Evaluation of k-means time series clustering based on z-normalization and NP-Free. CoRR abs/2401.15773 (2024) - [i19]Ming-Chang Lee, Jia-Chun Lin, Sokratis K. Katsikas:
GAD: A Real-time Gait Anomaly Detection System with Online Adaptive Learning. CoRR abs/2405.09561 (2024) - [i18]Benjamin Ulsmaag, Jia-Chun Lin, Ming-Chang Lee:
Investigating the Privacy Risk of Using Robot Vacuum Cleaners in Smart Environments. CoRR abs/2407.18433 (2024) - [i17]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 abs/2407.18439 (2024) - 2023
- [c29]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: 334-339 - [c28]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: 108-113 - [c27]Ming-Chang Lee, Jia-Chun Lin:
Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection. ICSOFT 2023: 106-116 - [c26]Ming-Chang Lee, Jia-Chun Lin:
RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series. ICSOFT 2023: 313-322 - [c25]Ming-Chang Lee, Jia-Chun Lin:
RePAD2: Real-Time Lightweight Adaptive Anomaly Detection for Open-Ended Time Series. IoTBDS 2023: 208-217 - [c24]Pankaj Khatiwada
Threats and Risk on Using Digital Technologies for Remote Health Care Process. SIET 2023: 506-522 - [i16]Ming-Chang Lee, Jia-Chun Lin:
RePAD2: Real-Time, Lightweight, and Adaptive Anomaly Detection for Open-Ended Time Series. CoRR abs/2303.00409 (2023) - [i15]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 abs/2304.06168 (2023) - [i14]Ming-Chang Lee, Jia-Chun Lin:
Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection. CoRR abs/2305.00595 (2023) - [i13]Ming-Chang Lee, Jia-Chun Lin:
RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series. CoRR abs/2305.16509 (2023) - 2021
- [c23]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: 136-148 - [c22]Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran:
SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series. COMPSAC 2021: 344-349 - [i12]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 abs/2102.06560 (2021) - [i11]Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran:
SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series. CoRR abs/2104.09968 (2021) - [i10]Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran:
DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks. CoRR abs/2105.09421 (2021) - 2020
- [j12]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): 185-195 (2020) - [c21]Ming-Chang Lee, Jia-Chun Lin:
DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction. AINA 2020: 164-175 - [c20]Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran:
RePAD: Real-Time Proactive Anomaly Detection for Time Series. AINA 2020: 1291-1302 - [c19]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: 322-327 - [c18]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: 234-247 - [i9]Ming-Chang Lee, Jia-Chun Lin, Olaf Owe:
PDS: Deduce Elder Privacy from Smart Homes. CoRR abs/2001.08099 (2020) - [i8]Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran:
RePAD: Real-time Proactive Anomaly Detection for Time Series. CoRR abs/2001.08922 (2020) - [i7]Ming-Chang Lee, Jia-Chun Lin:
DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction. CoRR abs/2001.09821 (2020) - [i6]Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran:
ReRe: A Lightweight Real-time Ready-to-Go Anomaly Detection Approach for Time Series. CoRR abs/2004.02319 (2020) - [i5]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 abs/2005.04788 (2020)
2010 – 2019
- 2019
- [j11]Ming-Chang Lee, Jia-Chun Lin, Olaf Owe
PDS: Deduce elder privacy from smart homes. Internet Things 7 (2019) - [c17]Olaf Owe
A Flexible Framework for Program Evolution and Verification. MODELSWARD 2019: 177-189 - [c16]Olaf Owe
A Framework for Flexible Program Evolution and Verification of Distributed Systems. MODELSWARD (Revised Selected Papers) 2019: 320-349 - 2018
- [c15]Jia-Chun Lin, Ming-Chang Lee, Ingrid Chieh Yu, Einar Broch Johnsen:
Modeling and Simulation of Spark Streaming. AINA 2018: 407-413 - [c14]Ming-Chang Lee, Jia-Chun Lin, Olaf Owe
EasyChoose: A Continuous Feature Extraction and Review Highlighting Scheme on Hadoop YARN. AINA 2018: 996-1002 - [c13]Ming-Chang Lee, Jia-Chun Lin, Olaf Owe
Privacy Mining from IoT-Based Smart Homes. BWCCA 2018: 304-315 - [i4]Ming-Chang Lee, Jia-Chun Lin, Olaf Owe:
Privacy Mining from IoT-based Smart Homes. CoRR abs/1808.07379 (2018) - [i3]Ming-Chang Lee, Jia-Chun Lin, Ramin Yahyapour:
Hybrid Job-driven Scheduling for Virtual MapReduce Clusters. CoRR abs/1808.08040 (2018) - [i2]Jia-Chun Lin, Ming-Chang Lee:
Performance evaluation of job schedulers on Hadoop YARN. CoRR abs/1808.08289 (2018) - [i1]Jia-Chun Lin, Ming-Chang Lee, Ingrid Chieh Yu, Einar Broch Johnsen:
Modeling and Simulation of Spark Streaming. CoRR abs/1808.09005 (2018) - 2017
- [c12]Jia-Chun Lin, Jacopo Mauro
A Model-Based Scalability Optimization Methodology for Cloud Applications. SC² 2017: 163-170 - 2016
- [j10]Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen:
Impacts of Task Re-Execution Policy on MapReduce Jobs. Comput. J. 59(5): 701-714 (2016) - [j9]Jia-Chun Lin, Ming-Chang Lee:
Performance evaluation of job schedulers on Hadoop YARN. Concurr. Comput. Pract. Exp. 28(9): 2711-2728 (2016) - [j8]Ming-Chang Lee, Jia-Chun Lin, Ramin Yahyapour
Hybrid Job-Driven Scheduling for Virtual MapReduce Clusters. IEEE Trans. Parallel Distributed Syst. 27(6): 1687-1699 (2016) - [c11]Jia-Chun Lin, Ingrid Chieh Yu, Einar Broch Johnsen
ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters. FASE 2016: 49-65 - [c10]Einar Broch Johnsen
Comparing AWS Deployments Using Model-Based Predictions. ISoLA (2) 2016: 482-496 - 2015
- [j7]Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen:
PAReS: A Proactive and Adaptive Redundant System for MapReduce. J. Inf. Sci. Eng. 31(5): 1775-1793 (2015) - [j6]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): 1657-1677 (2015) - [j5]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): 1364-1378 (2015) - 2014
- [j4]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): 1847-1864 (2014) - [c9]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: 712-718 - [c8]Jia-Chun Lin, Ming-Chang Lee, Ramin Yahyapour
Scheduling MapReduce tasks on virtual MapReduce clusters from a tenant's perspective. IEEE BigData 2014: 141-146 - 2013
- [j3]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): 203-214 (2013) - [c7]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: 1642-1647 - 2012
- [j2]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): 113-147 (2012) - 2011
- [c6]Fang-Yie Leu, Ming-Chang Lee, Jia-Chun Lin:
Improving Data Grids Performance by Using Popular File Replicate First Algorithm. BWCCA 2011: 416-421
2000 – 2009
- 2008
- [j1]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): 427-442 (2008) - [c5]Warren W. Lin, Shiuhpyng Shieh, Jia-Chun Lin:
A Pollution Attack Resistant Multicast Authentication Scheme Tolerant to Packet Loss. SSIRI 2008: 8-15 - [c4]Che-Cheng Lin, Shiuhpyng Shieh, Jia-Chun Lin:
Lightweight, Distributed Key Agreement Protocol for Wireless Sensor Networks. SSIRI 2008: 96-102 - 2007
- [c3]Fang-Yie Leu, Fuu-Cheng Jiang, Ming-Chang Li, Jia-Chun Lin:
An Enhanced DGIDE Platform for Intrusion Detection. ATC 2007: 559-568 - 2005
- [c2]Fang-Yie Leu, Jia-Chun Lin, Ming-Chang Li, Chao-Tung Yang
Integrating Grid with Intrusion Detection. AINA 2005: 304-309 - [c1]Fang-Yie Leu, Jia-Chun Lin, Ming-Chang Li, Chao-Tung Yang
A Performance-Based Grid Intrusion Detection System. COMPSAC (1) 2005: 525-530
Coauthor Index
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last updated on 2024-12-18 18:27 CET by the dblp team
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