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Vincent Cheng-Siong Lee
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- affiliation: Monash University, Melbourne, Australia
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2020 – today
- 2024
- [j23]Jianqi Zhang, Xu Yang, Wei Wang, Jinchao Guan, Wenbo Liu, Hainian Wang, Ling Ding, Vincent C. S. Lee:
Cross-entropy-based adaptive fuzzy control for visual tracking of road cracks with unmanned mobile robot. Comput. Aided Civ. Infrastructure Eng. 39(6): 891-910 (2024) - [j22]Ji Fang
, Vincent C. S. Lee
, Haiyan Wang
:
Optimal service resource management strategy for IoT-based health information system considering value co-creation of users. Ind. Manag. Data Syst. 124(3): 1132-1154 (2024) - [i14]Xinyu Zhang, Vincent C. S. Lee, Feng Liu:
From Data to Insights: A Comprehensive Survey on Advanced Applications in Thyroid Cancer Research. CoRR abs/2401.03722 (2024) - 2023
- [j21]Yixin Liu, Shirui Pan
, Yu Guang Wang
, Fei Xiong
, Liang Wang
, Qingfeng Chen
, Vincent Cheng-Siong Lee
:
Anomaly Detection in Dynamic Graphs via Transformer. IEEE Trans. Knowl. Data Eng. 35(12): 12081-12094 (2023) - [c68]Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan:
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. AAAI 2023: 4516-4524 - [c67]Yizhen Zheng, He Zhang, Vincent Cheng-Siong Lee, Yu Zheng, Xiao Wang, Shirui Pan:
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs. ICML 2023: 42492-42505 - [c66]Yixin Liu
, Kaize Ding
, Jianling Wang
, Vincent C. S. Lee, Huan Liu
, Shirui Pan
:
Learning Strong Graph Neural Networks with Weak Information. KDD 2023: 1559-1571 - [c65]Chang How Tan
, Vincent C. S. Lee
, Jessie Nghiem
, Priya Laxman
:
Compliance Analyses of Australia's Online Household Appliances. WSDM 2023: 1285-1286 - [i13]Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan:
Learning Strong Graph Neural Networks with Weak Information. CoRR abs/2305.18457 (2023) - [i12]Yizhen Zheng, He Zhang, Vincent C. S. Lee, Yu Zheng, Xiao Wang, Shirui Pan:
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs. CoRR abs/2306.07608 (2023) - 2022
- [j20]Xinyu Zhang
, Vincent C. S. Lee
, Jia Rong, James C. Lee, Jiangning Song, Feng Liu:
A multi-channel deep convolutional neural network for multi-classifying thyroid diseases. Comput. Biol. Medicine 148: 105961 (2022) - [j19]Xinyu Zhang
, Vincent C. S. Lee, Jia Rong, James C. Lee, Feng Liu:
Deep convolutional neural networks in thyroid disease detection: A multi-classification comparison by ultrasonography and computed tomography. Comput. Methods Programs Biomed. 220: 106823 (2022) - [j18]Chang How Tan
, Vincent C. S. Lee
, Mahsa Salehi
:
Information resources estimation for accurate distribution-based concept drift detection. Inf. Process. Manag. 59(3): 102911 (2022) - [c64]Senyuan Zheng, Vincent C. S. Lee, Zhaolin Guan:
SFPAD: Sentiment-driven Firm Pricing Anomaly Detection Algorithm and Application. IEEE Big Data 2022: 3567-3576 - [c63]Yizhen Zheng, Yu Zheng
, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan:
Unifying Graph Contrastive Learning with Flexible Contextual Scopes. ICDM 2022: 793-802 - [c62]Shiyang Lyu
, Vincent C. S. Lee, Gang Liu:
An Intelligent Hybrid Cloud-Based ANP and AI Model for Development Site Selection. IntelliSys (2) 2022: 84-102 - [c61]Yizhen Zheng, Shirui Pan, Vincent C. S. Lee, Yu Zheng, Philip S. Yu:
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination. NeurIPS 2022 - [i11]Xinyu Zhang, Vincent C. S. Lee, Jia Rong, James C. Lee, Jiangning Song, Feng Liu:
Multi-channel deep convolutional neural networks for multi-classifying thyroid disease. CoRR abs/2203.03627 (2022) - [i10]Ji Fang, Vincent C. S. Lee, Haiyan Wang:
Dynamic physical activity recommendation on personalised mobile health information service: A deep reinforcement learning approach. CoRR abs/2204.00961 (2022) - [i9]Ji Fang, Vincent C. S. Lee, Haiyan Wang:
Service resource allocation problem in the IoT driven personalized healthcare information platform. CoRR abs/2204.02521 (2022) - [i8]Yizhen Zheng, Shirui Pan, Vincent C. S. Lee, Yu Zheng
, Philip S. Yu:
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination. CoRR abs/2206.01535 (2022) - [i7]Yizhen Zheng, Yu Zheng
, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan:
Unifying Graph Contrastive Learning with Flexible Contextual Scopes. CoRR abs/2210.08792 (2022) - [i6]Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan:
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. CoRR abs/2211.14065 (2022) - 2021
- [j17]Phillip Smith
, Aldeida Aleti
, Vincent C. S. Lee
, Robert A. Hunjet, Asad Khan:
Robotic Hierarchical Graph Neurons. A novel implementation of HGN for swarm robotic behaviour control. Expert Syst. Appl. 186: 115675 (2021) - [c60]Chang How Tan
, Vincent C. S. Lee, Mahsa Salehi
, Slaven Marusic, Srimal Jayawardena, Dion Lucke:
A Fully Unsupervised and Efficient Anomaly Detection Approach with Drift Detection Capability. ICDM (Workshops) 2021: 312-321 - [c59]Yizhen Zheng, Vincent C. S. Lee, Zonghan Wu, Shirui Pan:
Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction. PAKDD (1) 2021: 140-151 - [i5]Yixin Liu, Shirui Pan, Yu Guang Wang, Fei Xiong, Liang Wang, Vincent C. S. Lee:
Anomaly Detection in Dynamic Graphs via Transformer. CoRR abs/2106.09876 (2021) - 2020
- [j16]Jianghua Deng
, Ye Lu
, Vincent Cheng-Siong Lee:
Concrete crack detection with handwriting script interferences using faster region-based convolutional neural network. Comput. Aided Civ. Infrastructure Eng. 35(4): 373-388 (2020) - [j15]Jingwei Liu, Xu Yang, Stephen Lau, Xin Wang
, Sang Luo, Vincent Cheng-Siong Lee, Ling Ding:
Automated pavement crack detection and segmentation based on two-step convolutional neural network. Comput. Aided Civ. Infrastructure Eng. 35(11): 1291-1305 (2020) - [j14]Sin G. Teo
, Jianneng Cao, Vincent C. S. Lee
:
DAG: A General Model for Privacy-Preserving Data Mining. IEEE Trans. Knowl. Data Eng. 32(1): 40-53 (2020) - [c58]Sin G. Teo, Jianneng Cao, Vincent C. S. Lee:
DAG: A General Model for Privacy-Preserving Data Mining : (Extended Abstract). ICDE 2020: 2018-2019 - [c57]Chang How Tan
, Vincent C. S. Lee, Mahsa Salehi
:
MIR_MAD: An Efficient and On-line Approach for Anomaly Detection in Dynamic Data Stream. ICDM (Workshops) 2020: 424-431
2010 – 2019
- 2019
- [j13]Hsiung-Cheng Lin
, Ling-Ling Li, Vincent C. S. Lee:
Multiple Autonomous Robots Coordination and Navigation. J. Robotics 2019: 1274372:1-1274372:2 (2019) - [c56]Ruangsak Trakunphutthirak, Yen Cheung, Vincent C. S. Lee:
A Study of Educational Data Mining: Evidence from a Thai University. AAAI 2019: 734-741 - [c55]Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent C. S. Lee:
Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering. AAAI 2019: 4755-4762 - [c54]Phillip Smith
, Asad Khan, Aldeida Aleti, Vincent C. S. Lee, Robert A. Hunjet:
Data Communication Assistance via Swarm Robotic: A Behaviour Creation Comparison. IJCAI 2019: 111-126 - [c53]Yifei Hu, Vincent C. S. Lee, Kenneth Tan
:
An Application of Convolutional Neural Networks for the Early Detection of Late-onset Neonatal Sepsis. IJCNN 2019: 1-8 - [i4]Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent C. S. Lee:
Nearest-Neighbour-Induced Isolation Similarity and its Impact on Density-Based Clustering. CoRR abs/1907.00378 (2019) - [i3]Chang How Tan, Vincent C. S. Lee, Mahsa Salehi:
Online Semi-Supervised Concept Drift Detection with Density Estimation. CoRR abs/1909.11251 (2019) - [i2]Phillip Smith, Aldeida Aleti, Vincent C. S. Lee, Robert A. Hunjet, Asad Khan:
Robotic Hierarchical Graph Neurons. A novel implementation of HGN for swarm robotic behaviour control. CoRR abs/1910.12415 (2019) - 2018
- [c52]Ruangsak Trakunphutthirak
, Yen Cheung, Vincent Cheng-Siong Lee:
Detecting Student at Risk of Failure: A Case Study of Conceptualizing Mining from Internet Access Log Files. ICDM Workshops 2018: 365-371 - 2017
- [c51]Mohammed Aladalah, Yen Cheung, Vincent C. S. Lee:
Gov2.0: Public Value Enabler. ICIS 2017 - 2016
- [c50]Mohammed Aladalah, Yen Cheung, Vincent Cheng-Siong Lee:
Delivering Public Value: Synergistic Integration via Gov 2.0. HICSS 2016: 3000-3009 - [c49]Mohammed Aladalah, Yen Cheung, Vincent C. S. Lee:
Winning Digital Citizens: a Model and Instrument. PACIS 2016: 336 - 2015
- [j12]Fahad Algarni, Yen Cheung, Vincent C. S. Lee, Azmat Ullah:
Customer Satisfaction: Moderator of e-Business Performance and e-Business Liveability. J. Softw. 10(5): 524-537 (2015) - [c48]Sin G. Teo, Jianneng Cao, Vincent C. S. Lee:
DAG: A Model for Privacy Preserving Computation. ICWS 2015: 289-296 - [c47]Mohammed Aladalah, Yen Cheung, Vincent C. S. Lee:
Gov2.0: A Service Science Perspective. PACIS 2015: 160 - 2014
- [c46]Constanza Reyes Bastías, Yen Cheung, Vincent C. S. Lee:
Clusters and Innovation: a Case of the Colchagua Wine Cluster. PACIS 2014: 9 - [c45]Mohammed Aladalah, Yen Cheung, Vincent C. S. Lee:
Towards Sustainability of eMarketplaces. PACIS 2014: 294 - 2013
- [c44]Nan Wang, Vincent Cheng-Siong Lee:
Exploring Enterprise Strategic Orientation and Radical Innovation Success. ACIS 2013: 19 - [c43]Sin G. Teo, Shuguo Han, Vincent C. S. Lee:
Privacy Preserving Support Vector Machine Using Non-linear Kernels on Hadoop Mahout. CSE 2013: 941-948 - 2012
- [j11]Clifton Phua, Kate Smith-Miles
, Vincent C. S. Lee, Ross W. Gayler
:
Resilient Identity Crime Detection. IEEE Trans. Knowl. Data Eng. 24(3): 533-546 (2012) - [c42]Sin G. Teo, Vincent C. S. Lee, Shuguo Han:
A Study of Efficiency and Accuracy of Secure Multiparty Protocol in Privacy-Preserving Data Mining. AINA Workshops 2012: 85-90 - [c41]Sverre Gunnersen, Kate Smith-Miles
, Vincent C. S. Lee:
Towards objective data selection in bankruptcy prediction. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c40]Yee Wei Law
, Tansu Alpcan
, Vincent C. S. Lee, Anthony C. C. Lo, Slaven Marusic, Marimuthu Palaniswami:
Demand Response Architectures and Load Management Algorithms for Energy-Efficient Power Grids: A Survey. KICSS 2012: 134-141 - [c39]Fahad Algarni, Yen Cheung, Vincent C. S. Lee:
The Relationship between Complementary Services and Service System Value Creation: A Case Study of eMarketplaces in Saudi Arabia. KICSS 2012: 211-215 - [c38]Jing Zhang, Kok-Leong Ong, Vincent C. S. Lee:
Why Web-Based Pseudo Relevance Feedback Systems Fail. KICSS 2012: 216-222 - [c37]Xuan-Hong Dang, Kok-Leong Ong, Vincent C. S. Lee:
An Adaptive Algorithm for Finding Frequent Sets in Landmark Windows. SUM 2012: 590-597 - [e1]Vincent C. S. Lee, Kok-Leong Ong:
Seventh International Conference on Knowledge, Information and Creativity Support Systems, KICSS 2012, Melbourne, Victoria, Australia, November 8-10, 2012. IEEE 2012, ISBN 978-1-4673-4564-4 [contents] - 2011
- [j10]Marc Cheong
, Vincent C. S. Lee:
A microblogging-based approach to terrorism informatics: Exploration and chronicling civilian sentiment and response to terrorism events via Twitter. Inf. Syst. Frontiers 13(1): 45-59 (2011) - [c36]Nan Wang, Vincent Cheng-Siong Lee:
An Integrated BPM-SOA Framework for Agile Enterprises. ACIIDS (1) 2011: 557-566 - [c35]Fahad Algarni, Yen Cheung, Vincent Cheng-Siong Lee:
Towards an Explanatory Model of eMarketplaces Utilization - A Case Study of Saudi Arabia. ICEIS (4) 2011: 63-75 - [c34]Kok-Leong Ong, Vincent C. S. Lee:
Real-Time Detection of Parked Vehicles from Multiple Image Streams. NDT 2011: 280-291 - 2010
- [j9]David Taniar, J. Wenny Rahayu, Vincent C. S. Lee, Olena Daly:
Mining Hierarchical Negative Association Rules. Comput. Syst. Sci. Eng. 25(2) (2010) - [j8]Shuguo Han, Wee Keong Ng
, Li Wan, Vincent C. S. Lee:
Privacy-Preserving Gradient-Descent Methods. IEEE Trans. Knowl. Data Eng. 22(6): 884-899 (2010) - [c33]Marc Cheong
, Vincent C. S. Lee:
Twittering for Earth: A Study on the Impact of Microblogging Activism on Earth Hour 2009 in Australia. ACIIDS (2) 2010: 114-123 - [c32]Marc Cheong
, Vincent C. S. Lee:
A Study on Detecting Patterns in Twitter Intra-topic User and Message Clustering. ICPR 2010: 3125-3128 - [c31]Yen Cheung, Helana Scheepers, Mark Swift, Vincent C. S. Lee, Jay Bal:
A Competence-Based Collaborative Network: The West Midlands Collaborative Commerce Marketplace. PRO-VE 2010: 380-387 - [p3]Marc Cheong
, Vincent C. S. Lee:
Twitmographics: Learning the Emergent Properties of the Twitter Community. From Sociology to Computing in Social Networks 2010: 323-342 - [p2]Marc Cheong
, Vincent C. S. Lee:
Dissecting Twitter: A Review on Current Microblogging Research and Lessons from Related Fields. From Sociology to Computing in Social Networks 2010: 343-362 - [i1]Clifton Phua, Vincent C. S. Lee, Kate Smith-Miles, Ross W. Gayler:
A Comprehensive Survey of Data Mining-based Fraud Detection Research. CoRR abs/1009.6119 (2010)
2000 – 2009
- 2009
- [j7]Clifton Phua, Ross W. Gayler
, Vincent C. S. Lee, Kate Smith-Miles
:
On the communal analysis suspicion scoring for identity crime in streaming credit applications. Eur. J. Oper. Res. 195(2): 595-612 (2009) - [j6]Khalid Al-Mutawah, Vincent C. S. Lee, Yen Cheung:
A new multi-agent system framework for tacit knowledge management in manufacturing supply chains. J. Intell. Manuf. 20(5): 593-610 (2009) - [c30]Rowena Chau, Ah Chung Tsoi, Markus Hagenbuchner, Vincent C. S. Lee:
A ConceptLink Graph for Text Structure Mining. ACSC 2009: 129-137 - [c29]Marc Cheong
, Vincent C. S. Lee:
Integrating web-based intelligence retrieval and decision-making from the twitter trends knowledge base. CIKM-SWSM 2009: 1-8 - [c28]Xuan-Hong Dang, Vincent C. S. Lee, Wee Keong Ng
, Arridhana Ciptadi, Kok-Leong Ong:
An EM-Based Algorithm for Clustering Data Streams in Sliding Windows. DASFAA 2009: 230-235 - [c27]Xuan-Hong Dang, Vincent C. S. Lee, Wee Keong Ng
, Kok-Leong Ong:
Incremental and Adaptive Clustering Stream Data over Sliding Window. DEXA 2009: 660-674 - [c26]Tiong-Thye Goh
, Siddhartha Bose, Wee Keong Ng
, Longbing Cao
, Vincent C. S. Lee:
Editorial to the Proceedings of mobile technologies in enterprise computing systems workshop (MTECS 2009). EDOCW 2009: 138-139 - [c25]Milly Kc, Rowena Chau, Markus Hagenbuchner, Ah Chung Tsoi
, Vincent C. S. Lee:
A Machine Learning Approach to Link Prediction for Interlinked Documents. INEX 2009: 342-354 - [p1]Ah Chung Tsoi
, Markus Hagenbuchner
, Rowena Chau, Vincent C. S. Lee:
Unsupervised and Supervised Learning of Graph Domains. Innovations in Neural Information Paradigms and Applications 2009: 43-65 - [r2]Xuan-Hong Dang, Wee Keong Ng, Kok-Leong Ong, Vincent C. S. Lee:
Frequent Sets Mining in Data Stream Environments. Encyclopedia of Data Warehousing and Mining 2009: 901-906 - [r1]Clifton Phua, Vincent C. S. Lee, Kate Smith-Miles:
The Personal Name Problem and a Data Mining Solution. Encyclopedia of Data Warehousing and Mining 2009: 1524-1531 - 2008
- [j5]David Taniar, J. Wenny Rahayu, Vincent C. S. Lee, Olena Daly:
Exception rules in association rule mining. Appl. Math. Comput. 205(2): 735-750 (2008) - 2007
- [j4]Vincent C. S. Lee, Hsiao Tshung Wong:
A multivariate neuro-fuzzy system for foreign currency risk management decision making. Neurocomputing 70(4-6): 942-951 (2007) - [j3]Mark B. Barnes, Vincent C. S. Lee:
An empirical study of AI-based multiple domain models for selecting attributes that drive company wealth. Soft Comput. 11(12): 1193-1198 (2007) - [c24]Xuan-Hong Dang, Wee Keong Ng, Kok-Leong Ong, Vincent C. S. Lee:
Discovering Frequent Sets from Data Streams with CPU Constraint. AusDM 2007: 121-128 - [c23]Clifton Phua, Kate Smith-Miles, Vincent C. S. Lee, Ross W. Gayler:
Adaptive Spike Detection for Resilient Data Stream Mining. AusDM 2007: 181-188 - [c22]Khalid Al-Mutawah, Vincent C. S. Lee, Yen Cheung:
Corporate Culture: A New Challenge to E-Supply Chain Management Systems. ICEIS (4) 2007: 279-282 - [c21]Mark B. Barnes, Vincent C. S. Lee:
Feature Selection Techniques, Company Wealth Assessment and Intra-sectoral Firm Behaviours. ICIC (1) 2007: 134-146 - [c20]Li Wan, Wee Keong Ng
, Shuguo Han, Vincent C. S. Lee:
Privacy-preservation for gradient descent methods. KDD 2007: 775-783 - 2006
- [j2]Vincent C. S. Lee, Linyi Shao:
Estimating Potential IT Security Losses: An Alternative Quantitative Approach. IEEE Secur. Priv. 4(6): 44-52 (2006) - [c19]Daisy Seng, Yen Cheung, Jay Bal, Vincent C. S. Lee:
A business model for collaborative commerce marketplace. ACIS 2006 - [c18]Khalid Al-Mutawah, Vincent C. S. Lee, Yen Cheung:
Modeling Supply Chain Complexity Using a Distributed Multi-objective Genetic Algorithm. ICCSA (1) 2006: 586-595 - [c17]Clifton Phua, Ross W. Gayler
, Kate Smith-Miles, Vincent C. S. Lee:
Communal Detection of Implicit Personal Identity Streams. ICDM Workshops 2006: 620-625 - [c16]Khalid Al-Mutawah, Vincent C. S. Lee, Yen Cheung:
An Intelligent Algorithm for Modeling and Optimizing Dynamic Supply Chains Complexity. ICIC (1) 2006: 975-980 - [c15]Clifton Phua, Vincent C. S. Lee, Ross W. Gayler
, Kate A. Smith
:
Temporal Representation in Spike Detection of Sparse Personal Identity Streams. WISI 2006: 115-126 - 2005
- [c14]Alex Tze Hiang Sim, Vincent C. S. Lee:
A Hybrid Artificial Intelligent-Based Criteria-Matching with Classification Algorithm. FSKD (2) 2005: 150-159 - [c13]Vincent C. S. Lee, Xingjian Yang:
Development and Test of an Artificial-Immune- Abnormal-Trading-Detection System for Financial Markets. ICIC (1) 2005: 410-419 - [c12]Victor Fang, Vincent C. S. Lee, Yee Choon Lim:
Volatility Transmission Between Stock and Bond Markets: Evidence from US and Australia. IDEAL 2005: 580-587 - 2004
- [j1]Clifton Phua, Damminda Alahakoon, Vincent C. S. Lee:
Minority report in fraud detection: classification of skewed data. SIGKDD Explor. 6(1): 50-59 (2004) - [c11]Weiping Wu, Vincent Cheng-Siong Lee, TingYean Tan:
Contributions of Domain Knowledge and Stacked Generalization in AI-Based Classification Models. Australian Conference on Artificial Intelligence 2004: 1049-1054 - [c10]Vincent C. S. Lee, Alex Tze Hiang Sim:
An Algorithm for Artificial Intelligence-Based Model Adaptation to Dynamic Data Distribution. IDEAL 2004: 232-240 - [c9]Vincent C. S. Lee, Alex Tze Hiang Sim:
A Hybrid Fuzzy-Neuro Model for Preference-Based Decision Analysis. IDEAL 2004: 449-456 - [c8]Victor Fang, Vincent C. S. Lee:
Credit Risks of Interest Rate Swaps: A Comparative Study of CIR and Monte Carlo Simulation Approach. IDEAL 2004: 780-787 - [c7]Denny, Vincent C. S. Lee:
An Alternative Methodology for Mining Seasonal Pattern Using Self-Organizing Map. PAKDD 2004: 424-430 - 2003
- [c6]Alex Tze Hiang Sim, Vincent C. S. Lee:
A Simplified Neuro-Fuzzy Inference System (S-NFIS) Tool for Criteria Matching. HIS 2003: 419-429 - [c5]Victor Fang, Vincent C. S. Lee:
Testing the Expectations Hypothesis for Interest Rate Term Structure: Some Australian Evidence. ICCSA (3) 2003: 189-198 - [c4]Vincent Cheng-Siong Lee, Hsiung-Cheng Lin
:
Real data performance analysis of dynamic harmonics behaviour in a DC variable speed drive. ICECS 2003: 838-841 - [c3]Vincent Cheng-Siong Lee, Hsiung-Cheng Lin
:
A simple state-space technique for modelling nonlinear load generated harmonics. ICECS 2003: 1117-1120 - [c2]Vincent C. S. Lee:
A Fuzzy Multi-criteria Decision Model for Information System Security Investment. IDEAL 2003: 436-441 - 2002
- [c1]Vincent Cheng-Siong Lee, Hsiung-Cheng Lin:
An Intelligent Filter for Optimizing Co-Existing Dynamic Harmonics. FSKD 2002: 369-373
Coauthor Index
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