Vincent C. S. Lee

99 papers A* 9A 2B 6C 9Misc 2Journal 35Unranked 30

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	The Distributed Intelligent Collaboration to AAV-Assisted VEC: Joint Position Optimization and Task Scheduling. IEEE Internet Things J. Meng Yi, Vincent C. S. Lee, Peng Yang, Peisong Li, Yifan Zhang, Wei Wei, Honghao Gao
2024	—	`conf`	Computational Intelligence for Optimizing UAV Positioning and Task Scheduling in UAV-Assisted MEC Systems. ICONIP (4) Meng Yi, Vincent C. S. Lee, Yifan Zhang, Peisong Li, Peng Yang
2024	J	`jnl`	Cross-entropy-based adaptive fuzzy control for visual tracking of road cracks with unmanned mobile robot. Comput. Aided Civ. Infrastructure Eng. Jianqi Zhang, Xu Yang, Wei Wang, Jinchao Guan, Wenbo Liu, Hainian Wang, Ling Ding, Vincent C. S. Lee
2024	J	`jnl`	From Data to Insights: A Comprehensive Survey on Advanced Applications in Thyroid Cancer Research. CoRR Xinyu Zhang, Vincent C. S. Lee, Feng Liu
2024	J	`jnl`	Optimal service resource management strategy for IoT-based health information system considering value co-creation of users. Ind. Manag. Data Syst. Ji Fang, Vincent C. S. Lee, Haiyan Wang
2023	A*	`conf`	Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. AAAI Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan
2023	A	`conf`	Compliance Analyses of Australia's Online Household Appliances. WSDM Chang How Tan, Vincent C. S. Lee, Jessie Nghiem, Priya Laxman
2023	J	`jnl`	Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs. CoRR Yizhen Zheng, He Zhang, Vincent C. S. Lee, Yu Zheng, Xiao Wang, Shirui Pan
2023	A*	`conf`	Learning Strong Graph Neural Networks with Weak Information. KDD Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan
2023	J	`jnl`	Learning Strong Graph Neural Networks with Weak Information. CoRR Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan
2022	J	`jnl`	A multi-channel deep convolutional neural network for multi-classifying thyroid diseases. Comput. Biol. Medicine Xinyu Zhang, Vincent C. S. Lee, Jia Rong, James C. Lee, Jiangning Song, Feng Liu
2022	—	`conf`	An Intelligent Hybrid Cloud-Based ANP and AI Model for Development Site Selection. IntelliSys (2) Shiyang Lyu, Vincent C. S. Lee, Gang Liu
2022	J	`jnl`	Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. CoRR Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan
2022	J	`jnl`	Deep convolutional neural networks in thyroid disease detection: A multi-classification comparison by ultrasonography and computed tomography. Comput. Methods Programs Biomed. Xinyu Zhang, Vincent C. S. Lee, Jia Rong, James C. Lee, Feng Liu
2022	J	`jnl`	Dynamic physical activity recommendation on personalised mobile health information service: A deep reinforcement learning approach. CoRR Ji Fang, Vincent C. S. Lee, Haiyan Wang
2022	J	`jnl`	Information resources estimation for accurate distribution-based concept drift detection. Inf. Process. Manag. Chang How Tan, Vincent C. S. Lee, Mahsa Salehi
2022	J	`jnl`	Multi-channel deep convolutional neural networks for multi-classifying thyroid disease. CoRR Xinyu Zhang, Vincent C. S. Lee, Jia Rong, James C. Lee, Jiangning Song, Feng Liu
2022	A*	`conf`	Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination. NeurIPS Yizhen Zheng, Shirui Pan, Vincent C. S. Lee, Yu Zheng, Philip S. Yu
2022	J	`jnl`	Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination. CoRR Yizhen Zheng, Shirui Pan, Vincent C. S. Lee, Yu Zheng, Philip S. Yu
2022	B	`conf`	SFPAD: Sentiment-driven Firm Pricing Anomaly Detection Algorithm and Application. IEEE Big Data Senyuan Zheng, Vincent C. S. Lee, Zhaolin Guan
2022	J	`jnl`	Service resource allocation problem in the IoT driven personalized healthcare information platform. CoRR Ji Fang, Vincent C. S. Lee, Haiyan Wang
2022	A*	`conf`	Unifying Graph Contrastive Learning with Flexible Contextual Scopes. ICDM Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan
2022	J	`jnl`	Unifying Graph Contrastive Learning with Flexible Contextual Scopes. CoRR Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan
2021	—	`conf`	A Fully Unsupervised and Efficient Anomaly Detection Approach with Drift Detection Capability. ICDM (Workshops) Chang How Tan, Vincent C. S. Lee, Mahsa Salehi, Slaven Marusic, Srimal Jayawardena, Dion Lucke
2021	J	`jnl`	Anomaly Detection in Dynamic Graphs via Transformer. CoRR Yixin Liu, Shirui Pan, Yu Guang Wang, Fei Xiong, Liang Wang, Vincent C. S. Lee
2021	—	`conf`	Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction. PAKDD (1) Yizhen Zheng, Vincent C. S. Lee, Zonghan Wu, Shirui Pan
2021	J	`jnl`	Robotic Hierarchical Graph Neurons. A novel implementation of HGN for swarm robotic behaviour control. Expert Syst. Appl. Phillip Smith, Aldeida Aleti, Vincent C. S. Lee, Robert A. Hunjet, Asad Khan
2020	A*	`conf`	DAG: A General Model for Privacy-Preserving Data Mining : (Extended Abstract). ICDE Sin G. Teo, Jianneng Cao, Vincent C. S. Lee
2020	J	`jnl`	DAG: A General Model for Privacy-Preserving Data Mining. IEEE Trans. Knowl. Data Eng. Sin G. Teo, Jianneng Cao, Vincent C. S. Lee
2020	—	`conf`	MIR_MAD: An Efficient and On-line Approach for Anomaly Detection in Dynamic Data Stream. ICDM (Workshops) Chang How Tan, Vincent C. S. Lee, Mahsa Salehi
2019	A*	`conf`	A Study of Educational Data Mining: Evidence from a Thai University. AAAI Ruangsak Trakunphutthirak, Yen Cheung, Vincent C. S. Lee
2019	B	`conf`	An Application of Convolutional Neural Networks for the Early Detection of Late-onset Neonatal Sepsis. IJCNN Yifei Hu, Vincent C. S. Lee, Kenneth Tan
2019	A*	`conf`	Data Communication Assistance via Swarm Robotic: A Behaviour Creation Comparison. IJCAI Phillip Smith, Asad Khan, Aldeida Aleti, Vincent C. S. Lee, Robert A. Hunjet
2019	J	`jnl`	Multiple Autonomous Robots Coordination and Navigation. J. Robotics Hsiung-Cheng Lin, Ling-Ling Li, Vincent C. S. Lee
2019	A*	`conf`	Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering. AAAI Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent C. S. Lee
2019	J	`jnl`	Nearest-Neighbour-Induced Isolation Similarity and its Impact on Density-Based Clustering. CoRR Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent C. S. Lee
2019	J	`jnl`	Online Semi-Supervised Concept Drift Detection with Density Estimation. CoRR Chang How Tan, Vincent C. S. Lee, Mahsa Salehi
2019	J	`jnl`	Robotic Hierarchical Graph Neurons. A novel implementation of HGN for swarm robotic behaviour control. CoRR Phillip Smith, Aldeida Aleti, Vincent C. S. Lee, Robert A. Hunjet, Asad Khan
2017	C	`conf`	Gov2.0: Public Value Enabler. ICIS Mohammed Aladalah, Yen Cheung, Vincent C. S. Lee
2016	—	`conf`	Winning Digital Citizens: a Model and Instrument. PACIS Mohammed Aladalah, Yen Cheung, Vincent C. S. Lee
2015	J	`jnl`	Customer Satisfaction: Moderator of e-Business Performance and e-Business Liveability. J. Softw. Fahad Algarni, Yen Cheung, Vincent C. S. Lee, Azmat Ullah
2015	A	`conf`	DAG: A Model for Privacy Preserving Computation. ICWS Sin G. Teo, Jianneng Cao, Vincent C. S. Lee
2015	—	`conf`	Gov2.0: A Service Science Perspective. PACIS Mohammed Aladalah, Yen Cheung, Vincent C. S. Lee
2014	—	`conf`	Clusters and Innovation: a Case of the Colchagua Wine Cluster. PACIS Constanza Reyes Bastías, Yen Cheung, Vincent C. S. Lee
2014	—	`conf`	Towards Sustainability of eMarketplaces. PACIS Mohammed Aladalah, Yen Cheung, Vincent C. S. Lee
2013	—	`conf`	Privacy Preserving Support Vector Machine Using Non-linear Kernels on Hadoop Mahout. CSE Sin G. Teo, Shuguo Han, Vincent C. S. Lee
2012	—	`conf`	A Study of Efficiency and Accuracy of Secure Multiparty Protocol in Privacy-Preserving Data Mining. AINA Workshops Sin G. Teo, Vincent C. S. Lee, Shuguo Han
2012	—	`conf`	An Adaptive Algorithm for Finding Frequent Sets in Landmark Windows. SUM Xuan-Hong Dang, Kok-Leong Ong, Vincent C. S. Lee
2012	—	`conf`	Demand Response Architectures and Load Management Algorithms for Energy-Efficient Power Grids: A Survey. KICSS Yee Wei Law, Tansu Alpcan, Vincent C. S. Lee, Anthony C. C. Lo, Slaven Marusic, Marimuthu Palaniswami
2012	J	`jnl`	Resilient Identity Crime Detection. IEEE Trans. Knowl. Data Eng. Clifton Phua, Kate Smith-Miles, Vincent C. S. Lee, Ross W. Gayler
2012	—	`ed.`	Seventh International Conference on Knowledge, Information and Creativity Support Systems, KICSS 2012, Melbourne, Victoria, Australia, November 8-10, 2012 KICSS Vincent C. S. Lee, Kok-Leong Ong
2012	—	`conf`	The Relationship between Complementary Services and Service System Value Creation: A Case Study of eMarketplaces in Saudi Arabia. KICSS Fahad Algarni, Yen Cheung, Vincent C. S. Lee
2012	B	`conf`	Towards objective data selection in bankruptcy prediction. IEEE Congress on Evolutionary Computation Sverre Gunnersen, Kate Smith-Miles, Vincent C. S. Lee
2012	—	`conf`	Why Web-Based Pseudo Relevance Feedback Systems Fail. KICSS Jing Zhang, Kok-Leong Ong, Vincent C. S. Lee
2011	J	`jnl`	A microblogging-based approach to terrorism informatics: Exploration and chronicling civilian sentiment and response to terrorism events via Twitter. Inf. Syst. Frontiers Marc Cheong, Vincent C. S. Lee
2011	—	`conf`	Real-Time Detection of Parked Vehicles from Multiple Image Streams. NDT Kok-Leong Ong, Vincent C. S. Lee
2010	C	`conf`	A Competence-Based Collaborative Network: The West Midlands Collaborative Commerce Marketplace. PRO-VE Yen Cheung, Helana Scheepers, Mark Swift, Vincent C. S. Lee, Jay Bal
2010	J	`jnl`	A Comprehensive Survey of Data Mining-based Fraud Detection Research CoRR Clifton Phua, Vincent C. S. Lee, Kate Smith-Miles, Ross W. Gayler
2010	B	`conf`	A Study on Detecting Patterns in Twitter Intra-topic User and Message Clustering. ICPR Marc Cheong, Vincent C. S. Lee
2010	—	`ch.`	Dissecting Twitter: A Review on Current Microblogging Research and Lessons from Related Fields. From Sociology to Computing in Social Networks Marc Cheong, Vincent C. S. Lee
2010	J	`jnl`	Mining Hierarchical Negative Association Rules. Comput. Syst. Sci. Eng. David Taniar, J. Wenny Rahayu, Vincent C. S. Lee, Olena Daly
2010	J	`jnl`	Privacy-Preserving Gradient-Descent Methods. IEEE Trans. Knowl. Data Eng. Shuguo Han, Wee Keong Ng, Li Wan, Vincent C. S. Lee
2010	—	`ch.`	Twitmographics: Learning the Emergent Properties of the Twitter Community. From Sociology to Computing in Social Networks Marc Cheong, Vincent C. S. Lee
2009	—	`conf`	A ConceptLink Graph for Text Structure Mining. ACSC Rowena Chau, Ah Chung Tsoi, Markus Hagenbuchner, Vincent C. S. Lee
2009	—	`conf`	A Machine Learning Approach to Link Prediction for Interlinked Documents. INEX Milly Kc, Rowena Chau, Markus Hagenbuchner, Ah Chung Tsoi, Vincent C. S. Lee
2009	J	`jnl`	A new multi-agent system framework for tacit knowledge management in manufacturing supply chains. J. Intell. Manuf. Khalid Al-Mutawah, Vincent C. S. Lee, Yen Cheung
2009	B	`conf`	An EM-Based Algorithm for Clustering Data Streams in Sliding Windows. DASFAA Xuan-Hong Dang, Vincent C. S. Lee, Wee Keong Ng, Arridhana Ciptadi, Kok-Leong Ong
2009	—	`conf`	Editorial to the Proceedings of mobile technologies in enterprise computing systems workshop (MTECS 2009). EDOCW Tiong-Thye Goh, Siddhartha Bose, Wee Keong Ng, Longbing Cao, Vincent C. S. Lee
2009	—	`ch.`	Frequent Sets Mining in Data Stream Environments. Encyclopedia of Data Warehousing and Mining Xuan-Hong Dang, Wee Keong Ng, Kok-Leong Ong, Vincent C. S. Lee
2009	C	`conf`	Incremental and Adaptive Clustering Stream Data over Sliding Window. DEXA Xuan-Hong Dang, Vincent C. S. Lee, Wee Keong Ng, Kok-Leong Ong
2009	—	`conf`	Integrating web-based intelligence retrieval and decision-making from the twitter trends knowledge base. CIKM-SWSM Marc Cheong, Vincent C. S. Lee
2009	J	`jnl`	On the communal analysis suspicion scoring for identity crime in streaming credit applications. Eur. J. Oper. Res. Clifton Phua, Ross W. Gayler, Vincent C. S. Lee, Kate Smith-Miles
2009	—	`ch.`	The Personal Name Problem and a Data Mining Solution. Encyclopedia of Data Warehousing and Mining Clifton Phua, Vincent C. S. Lee, Kate Smith-Miles
2009	—	`ch.`	Unsupervised and Supervised Learning of Graph Domains. Innovations in Neural Information Paradigms and Applications Ah Chung Tsoi, Markus Hagenbuchner, Rowena Chau, Vincent C. S. Lee
2008	J	`jnl`	Exception rules in association rule mining. Appl. Math. Comput. David Taniar, J. Wenny Rahayu, Vincent C. S. Lee, Olena Daly
2007	J	`jnl`	A multivariate neuro-fuzzy system for foreign currency risk management decision making. Neurocomputing Vincent C. S. Lee, Hsiao Tshung Wong
2007	Misc	`conf`	Adaptive Spike Detection for Resilient Data Stream Mining. AusDM Clifton Phua, Kate Smith-Miles, Vincent C. S. Lee, Ross W. Gayler
2007	J	`jnl`	An empirical study of AI-based multiple domain models for selecting attributes that drive company wealth. Soft Comput. Mark B. Barnes, Vincent C. S. Lee
2007	—	`conf`	Corporate Culture: A New Challenge to E-Supply Chain Management Systems. ICEIS (4) Khalid Al-Mutawah, Vincent C. S. Lee, Yen Cheung
2007	Misc	`conf`	Discovering Frequent Sets from Data Streams with CPU Constraint. AusDM Xuan-Hong Dang, Wee Keong Ng, Kok-Leong Ong, Vincent C. S. Lee
2007	—	`conf`	Feature Selection Techniques, Company Wealth Assessment and Intra-sectoral Firm Behaviours. ICIC (1) Mark B. Barnes, Vincent C. S. Lee
2007	A*	`conf`	Privacy-preservation for gradient descent methods. KDD Li Wan, Wee Keong Ng, Shuguo Han, Vincent C. S. Lee
2006	—	`conf`	A business model for collaborative commerce marketplace. ACIS Daisy Seng, Yen Cheung, Jay Bal, Vincent C. S. Lee
2006	—	`conf`	An Intelligent Algorithm for Modeling and Optimizing Dynamic Supply Chains Complexity. ICIC (1) Khalid Al-Mutawah, Vincent C. S. Lee, Yen Cheung
2006	—	`conf`	Communal Detection of Implicit Personal Identity Streams. ICDM Workshops Clifton Phua, Ross W. Gayler, Kate Smith-Miles, Vincent C. S. Lee
2006	J	`jnl`	Estimating Potential IT Security Losses: An Alternative Quantitative Approach. IEEE Secur. Priv. Vincent C. S. Lee, Linyi Shao
2006	—	`conf`	Modeling Supply Chain Complexity Using a Distributed Multi-objective Genetic Algorithm. ICCSA (1) Khalid Al-Mutawah, Vincent C. S. Lee, Yen Cheung
2006	—	`conf`	Temporal Representation in Spike Detection of Sparse Personal Identity Streams. WISI Clifton Phua, Vincent C. S. Lee, Ross W. Gayler, Kate A. Smith
2005	—	`conf`	A Hybrid Artificial Intelligent-Based Criteria-Matching with Classification Algorithm. FSKD (2) Alex Tze Hiang Sim, Vincent C. S. Lee
2005	—	`conf`	Development and Test of an Artificial-Immune- Abnormal-Trading-Detection System for Financial Markets. ICIC (1) Vincent C. S. Lee, Xingjian Yang
2005	C	`conf`	Volatility Transmission Between Stock and Bond Markets: Evidence from US and Australia. IDEAL Victor Fang, Vincent C. S. Lee, Yee Choon Lim
2004	C	`conf`	A Hybrid Fuzzy-Neuro Model for Preference-Based Decision Analysis. IDEAL Vincent C. S. Lee, Alex Tze Hiang Sim
2004	C	`conf`	An Algorithm for Artificial Intelligence-Based Model Adaptation to Dynamic Data Distribution. IDEAL Vincent C. S. Lee, Alex Tze Hiang Sim
2004	B	`conf`	An Alternative Methodology for Mining Seasonal Pattern Using Self-Organizing Map. PAKDD Denny, Vincent C. S. Lee
2004	C	`conf`	Credit Risks of Interest Rate Swaps: A Comparative Study of CIR and Monte Carlo Simulation Approach. IDEAL Victor Fang, Vincent C. S. Lee
2004	J	`jnl`	Minority report in fraud detection: classification of skewed data. SIGKDD Explor. Clifton Phua, Damminda Alahakoon, Vincent C. S. Lee
2003	C	`conf`	A Fuzzy Multi-criteria Decision Model for Information System Security Investment. IDEAL Vincent C. S. Lee
2003	C	`conf`	A Simplified Neuro-Fuzzy Inference System (S-NFIS) Tool for Criteria Matching. HIS Alex Tze Hiang Sim, Vincent C. S. Lee
2003	—	`conf`	Testing the Expectations Hypothesis for Interest Rate Term Structure: Some Australian Evidence. ICCSA (3) Victor Fang, Vincent C. S. Lee