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ORCIDMing-Chang Lee
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j19]Ming-An Chung
, Ming-Chang Lee, Chia-Chun Hsu, Chia-Wei Lin:
Multi-Band Coupled-Fed Antenna for 4G LTE, Sub-6G, and WLAN Frequency Bands in Various Electronic Devices. IEEE Access 12: 45398-45422 (2024)- [j18]Ming-Chang Lee, Jia-Chun Lin, Sokratis K. Katsikas:
Exploring the effects of RNNs and deep learning frameworks on real-time, lightweight, adaptive time series anomaly detection. Concurr. Comput. Pract. Exp. 36(28) (2024) - [c37]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 - [c36]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. ICICS (1) 2024: 228-247 - [c35]Benjamin Ulsmåg, Jia-Chun Lin, Ming-Chang Lee:
Investigating the Privacy Risk of Using Robot Vacuum Cleaners in Smart Environments. ICICS (1) 2024: 312-330 - [c34]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 - [c33]Kevin Nordnes, Jia-Chun Lin, Ming-Chang Lee, Victor Chang:
IoTective: Automated Penetration Testing for Smart Home Environments. IoTBDS 2024: 29-39 - [c32]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 - [c31]Ming-Chang Lee, Jia-Chun Lin, Sokratis K. Katsikas:
GAD: A Real-Time Gait Anomaly Detection System with Online Adaptive Learning. SEC 2024: 308-322 - [i21]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) - [i20]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) - [i19]Benjamin Ulsmåg, Jia-Chun Lin, Ming-Chang Lee:
Investigating the Privacy Risk of Using Robot Vacuum Cleaners in Smart Environments. CoRR abs/2407.18433 (2024) - [i18]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
- [j17]Ming-An Chung, Chia-Chun Hsu, Ming-Chang Lee, Chia-Wei Lin:
Enhancing Multi-Band MIMO Antenna Stability for Various Electronic Applications With Human-Body Interaction Consideration. IEEE Access 11: 129376-129398 (2023) - [c30]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 - [c29]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 - [c28]Ming-Chang Lee, Jia-Chun Lin:
Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection. ICSOFT 2023: 106-116 - [c27]Ming-Chang Lee, Jia-Chun Lin:
RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series. ICSOFT 2023: 313-322 - [c26]Ming-Chang Lee, Jia-Chun Lin:
RePAD2: Real-Time Lightweight Adaptive Anomaly Detection for Open-Ended Time Series. IoTBDS 2023: 208-217 - [i17]Ming-Chang Lee, Jia-Chun Lin:
RePAD2: Real-Time, Lightweight, and Adaptive Anomaly Detection for Open-Ended Time Series. CoRR abs/2303.00409 (2023) - [i16]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) - [i15]Ming-Chang Lee, Jia-Chun Lin:
Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection. CoRR abs/2305.00595 (2023) - [i14]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
- [c25]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 - [c24]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 - [i13]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) - [i12]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) - [i11]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
- [j16]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) - [c23]Ming-Chang Lee, Jia-Chun Lin:
DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction. AINA 2020: 164-175 - [c22]Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran:
RePAD: Real-Time Proactive Anomaly Detection for Time Series. AINA 2020: 1291-1302 - [c21]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 - [c20]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 - [i10]Ming-Chang Lee, Jia-Chun Lin, Olaf Owe:
PDS: Deduce Elder Privacy from Smart Homes. CoRR abs/2001.08099 (2020) - [i9]Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran:
RePAD: Real-time Proactive Anomaly Detection for Time Series. CoRR abs/2001.08922 (2020) - [i8]Ming-Chang Lee, Jia-Chun Lin:
DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction. CoRR abs/2001.09821 (2020) - [i7]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) - [i6]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
- [j15]Ming-Chang Lee, Jia-Chun Lin, Olaf Owe:
PDS: Deduce elder privacy from smart homes. Internet Things 7 (2019) - [c19]Ming-Chang Lee, Li-Pin Chang, Sung-Ming Wu, Wei-Shang Yui:
Adaptive Write Interference Management with Efficient Mapping for Shingled Recording Disks. ICCD 2019: 181-189 - 2018
- [c18]Jia-Chun Lin, Ming-Chang Lee, Ingrid Chieh Yu, Einar Broch Johnsen:
Modeling and Simulation of Spark Streaming. AINA 2018: 407-413 - [c17]Ming-Chang Lee, Jia-Chun Lin, Olaf Owe:
EasyChoose: A Continuous Feature Extraction and Review Highlighting Scheme on Hadoop YARN. AINA 2018: 996-1002 - [c16]Ming-Chang Lee, Jia-Chun Lin, Olaf Owe:
Privacy Mining from IoT-Based Smart Homes. BWCCA 2018: 304-315 - [i5]Ming-Chang Lee, Jia-Chun Lin, Olaf Owe:
Privacy Mining from IoT-based Smart Homes. CoRR abs/1808.07379 (2018) - [i4]Ming-Chang Lee, Jia-Chun Lin, Ramin Yahyapour:
Hybrid Job-driven Scheduling for Virtual MapReduce Clusters. CoRR abs/1808.08040 (2018) - [i3]Jia-Chun Lin, Ming-Chang Lee:
Performance evaluation of job schedulers on Hadoop YARN. CoRR abs/1808.08289 (2018) - [i2]Jia-Chun Lin, Ming-Chang Lee, Ingrid Chieh Yu, Einar Broch Johnsen:
Modeling and Simulation of Spark Streaming. CoRR abs/1808.09005 (2018) - 2016
- [j14]Jia-Chun Lin, Ming-Chang Lee:
Performance evaluation of job schedulers on Hadoop YARN. Concurr. Comput. Pract. Exp. 28(9): 2711-2728 (2016) - [j13]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) - [c15]Jia-Chun Lin, Ingrid Chieh Yu, Einar Broch Johnsen, Ming-Chang Lee:
ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters. FASE 2016: 49-65 - 2015
- [j12]Ming-Chang Lee, Fang-Yie Leu, Ying-Ping Chen:
Pareto-based cache replacement for YouTube. World Wide Web 18(6): 1523-1540 (2015) - [c14]Ming-Chang Lee, Fang-Yie Leu, Ying-Ping Chen:
ReMBF: A Reliable Multicast Brute-Force Co-allocation Scheme for Multi-user Data Grids. COMPSAC 2015: 774-783 - 2014
- [c13]Ming-Chang Lee, Fang-Yie Leu, Ying-Ping Chen:
Cache Replacement Algorithms for YouTube. AINA 2014: 743-750 - [c12]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 - [c11]Jui-Fang Chang, Jung-Fang Cheng, Ming-Chang Lee:
Inference and diagnosis model based on Bayesian network and rough sets theory. ICMLC 2014: 455-461 - [c10]Ming-Chang Lee, Fang-Yie Leu, Ying-Ping Chen:
Developing a Performance-Analysis Model for a Star-Topology Data Grid from Multi-user Perspective. INCoS 2014: 242-248 - 2013
- [j11]Longsheng Cheng, Ching-Shih Tsou, Ming-Chang Lee, Li-Hua Huang, Dingwei Song, Wei-Shan Teng:
Tradeoff Analysis for Optimal Multiobjective Inventory Model. J. Appl. Math. 2013: 619898:1-619898:8 (2013) - [c9]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 - [c8]Ming-Chang Lee, Fang-Yie Leu, Ying-Ping Chen:
TSR: Topology Reduction from Tree to Star Data Grids. IMIS 2013: 678-683 - [c7]N. P. Ling, K. H. Chou, C. T. Jhou, M. H. Lai, T. C. Chen, Chih-Huang Lai, L. W. Wang, Vincent Gwo-Bin Lee, Ming-Chang Lee:
Observation of strong transverse magneto-optical Kerr effect on surface plasmonic gratings. NEMS 2013: 653-656 - 2012
- [j10]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) - [j9]Ming-Chang Lee, Fang-Yie Leu, Ying-Ping Chen:
PFRF: An adaptive data replication algorithm based on star-topology data grids. Future Gener. Comput. Syst. 28(7): 1045-1057 (2012) - [c6]Chih-Wei Tseng, Chih-Wei Tsai, Ming-Chang Lee, Yung-Jui Chen:
Ultra compact Silicon microring filter. WOCC 2012: 193-195 - 2011
- [j8]Ming-Chang Lee, To Chang:
Rule Extraction Based on Rough Fuzzy Sets in Fuzzy Information Systems. Trans. Comput. Collect. Intell. 3: 115-127 (2011) - [c5]Fang-Yie Leu, Ming-Chang Lee, Jia-Chun Lin:
Improving Data Grids Performance by Using Popular File Replicate First Algorithm. BWCCA 2011: 416-421 - 2010
- [j7]Jiun-Yan Shiau, Ming-Chang Lee:
A warehouse management system with sequential picking for multi-container deliveries. Comput. Ind. Eng. 58(3): 382-392 (2010) - [i1]Ming-Chang Lee, To Chang:
Comparison of Support Vector Machine and Back Propagation Neural Network in Evaluating the Enterprise Financial Distress. CoRR abs/1007.5133 (2010)
2000 – 2009
- 2009
- [j6]Ming-Chang Lee:
An Enterprise Financial Evaluation Model Based on Rough Set theory with Information Entropy. J. Digit. Content Technol. its Appl. 3(1): 16-22 (2009) - [c4]Ming-Chang Lee:
A Divide-and-Conquer Strategy and PVM Computation Environment for the Matrix Multiplication. ICA3PP 2009: 535-544 - [c3]Ming-Chang Lee, Jui-Fang Chang:
Enterprise Financial Status Synthetic Evaluation Based on Fuzzy Rough Set Theory. KES-AMSTA 2009: 542-549 - [c2]Ming-Chang Lee, Mei-Wen Han:
Knowledge Value Chain Model Implemented for Supply Chain Management Performance. NCM 2009: 606-611 - 2007
- [j5]Ming-Chang Lee, To Chang:
Applying ISO 17799: 2005 in information security management. Int. J. Serv. Stand. 3(3): 352-373 (2007) - [j4]Ming-Chang Lee, Jung-Fang Cheng:
Development Multi-Enterprise Collaborative Enterprise intelligent decision support system. J. Convergence Inf. Technol. 2(2): 64-69 (2007) - 2006
- [j3]Ming-Chang Lee, To Chang:
Applying TQM, CMM and ISO 9001 in Knowledge Management for software development process improvement. Int. J. Serv. Stand. 2(1): 101-115 (2006) - 2005
- [c1]Ming-Chang Lee:
Statistical Data Analysis for Software Metrics Validation. KES (4) 2005: 389-395 - 2004
- [j2]Jyhjong Lin, Ming-Chang Lee:
An object-oriented analysis method for customer relationship management information systems. Inf. Softw. Technol. 46(7): 433-443 (2004) - 2002
- [j1]Jung Lyu Jr., Ming-Chang Lee, Jyh-Hong Ding, A. Gunasekaran:
Implementation of executive information systems in the client/server environment: an approach developed from the case study. Int. J. Inf. Technol. Manag. 1(2/3): 191-201 (2002)
Coauthor Index
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