| 2024 | ICONIP | Computational Intelligence for Optimizing UAV Positioning and Task Scheduling in UAV-Assisted MEC Systems. | Meng Yi, Vincent C. S. Lee, Yifan Zhang, Peisong Li, Peng Yang |
| 2023 | AAAI | Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. | Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan |
| 2023 | KDD | Learning Strong Graph Neural Networks with Weak Information. | Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan |
| 2023 | WSDM | Compliance Analyses of Australia's Online Household Appliances. | Chang How Tan, Vincent C. S. Lee, Jessie Nghiem, Priya Laxman |
| 2022 | ICDM | Unifying Graph Contrastive Learning with Flexible Contextual Scopes. | Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan |
| 2021 | PAKDD | Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction. | Yizhen Zheng, Vincent C. S. Lee, Zonghan Wu, Shirui Pan |
| 2020 | ICDE | DAG: A General Model for Privacy-Preserving Data Mining : (Extended Abstract). | Sin G. Teo, Jianneng Cao, Vincent C. S. Lee |
| 2020 | ICDM | MIR_MAD: An Efficient and On-line Approach for Anomaly Detection in Dynamic Data Stream. | Chang How Tan, Vincent C. S. Lee, Mahsa Salehi |
| 2019 | AAAI | Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering. | Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent C. S. Lee |
| 2019 | AAAI | A Study of Educational Data Mining: Evidence from a Thai University. | Ruangsak Trakunphutthirak, Yen Cheung, Vincent C. S. Lee |
| 2019 | IJCAI | Data Communication Assistance via Swarm Robotic: A Behaviour Creation Comparison. | Phillip Smith, Asad Khan, Aldeida Aleti, Vincent C. S. Lee, Robert A. Hunjet |
| 2019 | IJCNN | An Application of Convolutional Neural Networks for the Early Detection of Late-onset Neonatal Sepsis. | Yifei Hu, Vincent C. S. Lee, Kenneth Tan |
| 2017 | ICIS | Gov2.0: Public Value Enabler. | Mohammed Aladalah, Yen Cheung, Vincent C. S. Lee |
| 2015 | ICWS | DAG: A Model for Privacy Preserving Computation. | Sin G. Teo, Jianneng Cao, Vincent C. S. Lee |
| 2012 | AINA | A Study of Efficiency and Accuracy of Secure Multiparty Protocol in Privacy-Preserving Data Mining. | Sin G. Teo, Vincent C. S. Lee, Shuguo Han |
| 2012 | CEC | Towards objective data selection in bankruptcy prediction. | Sverre Gunnersen, Kate Smith-Miles, Vincent C. S. Lee |
| 2010 | ACIIDS | Untitled record | Marc Cheong, Vincent C. S. Lee |
| 2010 | ICPR | A Study on Detecting Patterns in Twitter Intra-topic User and Message Clustering. | Marc Cheong, Vincent C. S. Lee |
| 2009 | CIKM | Integrating web-based intelligence retrieval and decision-making from the twitter trends knowledge base. | Marc Cheong, Vincent C. S. Lee |
| 2009 | DASFAA | An EM-Based Algorithm for Clustering Data Streams in Sliding Windows. | Xuan-Hong Dang, Vincent C. S. Lee, Wee Keong Ng, Arridhana Ciptadi, Kok-Leong Ong |
| 2009 | DEXA | Incremental and Adaptive Clustering Stream Data over Sliding Window. | Xuan-Hong Dang, Vincent C. S. Lee, Wee Keong Ng, Kok-Leong Ong |
| 2009 | EDOC | Editorial to the Proceedings of mobile technologies in enterprise computing systems workshop (MTECS 2009). | Tiong-Thye Goh, Siddhartha Bose, Wee Keong Ng, Longbing Cao, Vincent C. S. Lee |
| 2007 | AusDM | Discovering Frequent Sets from Data Streams with CPU Constraint. | Xuan-Hong Dang, Wee Keong Ng, Kok-Leong Ong, Vincent C. S. Lee |
| 2007 | AusDM | Adaptive Spike Detection for Resilient Data Stream Mining. | Clifton Phua, Kate Smith-Miles, Vincent C. S. Lee, Ross W. Gayler |
| 2007 | KDD | Privacy-preservation for gradient descent methods. | Li Wan, Wee Keong Ng, Shuguo Han, Vincent C. S. Lee |
| 2006 | ICCSA | Modeling Supply Chain Complexity Using a Distributed Multi-objective Genetic Algorithm. | Khalid Al-Mutawah, Vincent C. S. Lee, Yen Cheung |
| 2006 | ICDM | Communal Detection of Implicit Personal Identity Streams. | Clifton Phua, Ross W. Gayler, Kate Smith-Miles, Vincent C. S. Lee |
| 2005 | IDEAL | Volatility Transmission Between Stock and Bond Markets: Evidence from US and Australia. | Victor Fang, Vincent C. S. Lee, Yee Choon Lim |
| 2004 | IDEAL | Credit Risks of Interest Rate Swaps: A Comparative Study of CIR and Monte Carlo Simulation Approach. | Victor Fang, Vincent C. S. Lee |
| 2004 | IDEAL | An Algorithm for Artificial Intelligence-Based Model Adaptation to Dynamic Data Distribution. | Vincent C. S. Lee, Alex Tze Hiang Sim |
| 2004 | IDEAL | A Hybrid Fuzzy-Neuro Model for Preference-Based Decision Analysis. | Vincent C. S. Lee, Alex Tze Hiang Sim |
| 2004 | PAKDD | An Alternative Methodology for Mining Seasonal Pattern Using Self-Organizing Map. | Denny, Vincent C. S. Lee |
| 2003 | HIS | A Simplified Neuro-Fuzzy Inference System (S-NFIS) Tool for Criteria Matching. | Alex Tze Hiang Sim, Vincent C. S. Lee |
| 2003 | ICCSA | Testing the Expectations Hypothesis for Interest Rate Term Structure: Some Australian Evidence. | Victor Fang, Vincent C. S. Lee |
| 2003 | IDEAL | A Fuzzy Multi-criteria Decision Model for Information System Security Investment. | Vincent C. S. Lee |