Faculty Profiles

Sharma, N., Sun, C., Zhao, Z., Ngu, A. H., Latapie, H., & Yan, Y. (2025). SSDL:Sensor-to-Skeleton Diffusion Model with Lipschitz Regularization for Human Activity Recognition. In 31st International Conference on Multimedia Modeling. Springer.

Debnath, M., Chang, J., Bhandari, K., Nagy, D. J., Insperger, T., Milton, J., & Ngu, A. H. (2024). Pole balancing on the fingertip: Model-motivated machine learning forecasting of falls. Frontiers in Physiology, 15. https://doi.org/https://doi.org/10.3389/fphys.2024.1334396

Haque, S. T., Ni, J., Jingcheng, L., Yan, Y., & Ngu, A. H. (2024). LightHART: Lightweight Human Activity Recognition Transformer. In 27th International Conference on Pattern Recognition. IAPR.

Mahmud, T., Che, M., Ngu, A. H., & Yang, G. (2024). An Empirical Investigation on Android App Testing Practices. In IEEE 35th International Symposium on Software Reliability Engineering (ISSRE) (pp. 355–366). United States: IEEE Computer Society. https://doi.org/10.1109/ISSRE62328.2024.00042

Haque, S. T., Debnath, M., Yasmin, A., Mahmud, T. S. U., & Ngu, A. H. (2024). Experimental Study of LSTM and Transformer Models for Fall Detection on Smartwatches. Sensors (Switzerland), 24(19). https://doi.org/https://doi.org/10.3390/s24196235

Debnath, M., Kabir, M. S., Ni, J., & Ngu, A. H. (2024). The Impact of Synthetic Data on Fall Detection Application. In 22nd International Conference on Artificial Intelligence in Medicine (AIME 2024). United States: Springer. Retrieved from https://link.springer.com/book/10.1007/978-3-031-66538-7

Yasmin, A., Mahmud, T., Debnath, M., & Ngu, A. H. (2024). An Empirical Study on AI-Powered Edge Computing Architecture for Real-Time IoT Applications. In IEEE Computers, Software, and Applications Conference (COMPSAC 2024). United States: IEEE. Retrieved from https://conferences.computer.org/compsacpub24

Haque, S. T., & Ngu, A. H. (2024). Multimodal ConvTransformer for Human Activity Recognition. In 2024 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies Proceeding. United States: ACM/IEEE. https://doi.org/0.1109/CHASE60773.2024.00041

Maray, N., Ngu, A. H., Ni, J., Debnath, M., & Wang, L. (2023). Transfer learning on small datasets for improved fall detection. Sensors, 23(3), 1105. https://doi.org/https://doi.org/10.3390/s23031105

Li, X., Metsis, V., & Ngu, A. H. (2023). Generating Realistic Multi-class Biosignals with BioSGAN: A Transformer-based Label-guided Generative Adversarial Network. In The 25th International Conference on Artificial Intelligence (ICAI’23). USA: IEEE.

Ngu, A. H., Yasmin, A., Mahmud, T., Mahmood, A., & Sheng, Q. Z. (2023). P-Fall: Personalization Pipeline for Fall Detection. In 2023 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) (pp. 173--174). United States.

Li, X., Metsis, V., Wang, H., & Ngu, H. H. (2022). TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network. https://doi.org/0.1007/978-3-031-09342-5_13

Ni, J., Ngu, A. H., & Yan, Y. (2022). Progressive Cross-Modal Knowledge Distillation for Human Action Recognition. In 30th ACM International Conference on Multimedia. https://doi.org/https://doi.org/10.48550/arXiv.2208.08090

Ngu, A., Metsis, V., Coyne, S., Srinivas, P., Mahmud, T., & Chee, K. (2022). Personalized Watch-based Fall Detection Using a Collaborative Edge-Cloud Framework. International  Journal of Neural Systems, 32(12). https://doi.org/10.1142/s0129065722500484

Ni, J., Sarbaina, R., Liu, Y., Ngu, A. H., & Yan, Y. (2022). Cross-modal Knowledge Distillation for Vision-to-Sensor Action Recognition. In IEEE International Conference on Acoustics, Speech and Signal Processing. https://doi.org/https://doi.org/10.48550/arXiv.2112.01849

Ngu, A. H., Eyitayo, J. S., Yang, G., Campbell, C., Sheng, Q. Z., & Ni, J. (2021). An IoT Edge Computing Framework using Cordova Accessor Host. IEEE Internet of Things Journal, 9(1), 671–683. https://doi.org/10.1109/JIOT.2021.3086043

Ngu, H. H., Coyne, S., Srinivas, P., & Metsis, V. (. (2021). Collaborative Edge-Cloud Computing for Personalized Fall Detection. In Artificial Intelligence Applications and Innovations. AIAI 2021 (pp. 323–336). Springer, Cham: Springer International Publishing. https://doi.org/https://doi.org/10.1007/978-3-030-79150-6_26

Mauldin, T. R., Ngu, A. H. H., Metsis, V., & Canby, M. (2020). Ensemble Deep Learning on Wearables Using Small Datasets. ACM Transactions on Computing for HealthCare, 2. https://doi.org/https://doi.org/10.1145/3428666

Fang, S. X. T., Sheng, Q. Z. T., Wang, X., & Ngu, A. H. (. (2020). From Appearance to Essence: Comparing Truth Discovery Methods Without Using Ground Truth. ACM Transactions on Intelligent Systems and Technology, 11(6), 1–24.

Ngu, H. H., Metsis, V., Coyne, S., Chung, B., Pai, R., & Chang, J. (2020). Personalized Fall Detection System. In 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (pp. 1–7). https://doi.org/10.1109/PerComWorkshops48775.2020.9156172

Samimi, H., Tesic, J., & Ngu, H. H. (2019). Patient Centric Data Integration for Improved Diagnosis and Risk Prediction. In Lecture Notes in Computer Science (pp. 185–195). Springer International Publishing. https://doi.org/10.1007/978-3-030-33752-0_13

Samimi, H., Tesic, J., & Ngu, H. H. (2019). Patient Centric Data Integration for Improved Diagnosis and Risk Prediction. In Heterogeneous Data Management, Polystores, and Analytics for Healthcare (pp. 185–195). Springer, Cham: Springer International Publishing. https://doi.org/https://link.springer.com/chapter/10.1007/978-3-030-33752-0_13

Mauldin, T., Ngu, A., Metsis, V., Canby, M., & Tesic, J. (2019). Experimentation and Analysis of Ensemble Deep Learning in IoT Applications. Open Journal of Internet Of Things (OJIOT), 5(1), 133–149. Retrieved from http://nbn-resolving.de/urn:nbn:de:101:1-2018080519304951282148

Chow, E. T., Schuermann, R. T., Ngu, A. H., & Dahal, K. R. (2018). Spatial mining of migration patterns from web demographics. International Journal of Geographical Information Science, 32(10), 1977–1998. https://doi.org/10.1080/13658816.2018.1470633

Mauldin, T. R., Canby, M. E., Metsis, V., Ngu, H. H., & Rivera, C. C. (2018). Smartfall: A smartwatch-based fall detection system using deep learning. Sensors (Switzerland), 18(10). https://doi.org/10.3390/s18103363

Ngu, A., Fang, X. S., Sheng, Q. Z., Wang, X., & Chu, D. (2018). SmartVote:a full-fledged graph-based model for multi-valued truth discovery. Journal of World Wide Web: Internet and Information Systems, 8(4). https://doi.org/https://doi.org/10.1007/s11280-018-0629-3

Ngu, A., Tseng, P.-T., Paliwal, M., Carpenter, C., & Stipe, W. (2018). Smartwatch-Based IoT Fall Detection Application. Open Journal of Internet Of Things (OJIOT), 4(1), 87--98. Retrieved from http://nbn-resolving.de/urn:nbn:de:101:1-2018080519304951282148

Ngu, A., Nepal, S., Sheng, Q., Gutierrez, M., & Metsis, V. (2017). IoT Middleware: A Survey on Issues and Technologies. IEEE Internet of Things Journal, 4(1). https://doi.org/10.1109/JIOT.2016.2615180

Ngu, A., Wu, Y., Polican, A., Zare, H., & Yao, L. (2017). Fall Detection Using Smartwatch Sensor Data with Accessor Architecture. In Lecture Notes in Computer Science (Vol. 10347). Springer, Cham: Springer. https://doi.org/https://doi.org/10.1007/978-3-319-67964-8_8

Ngu, A. H., Fang, X. S., Sheng, Q. Z., Wang, X., Barhamgi, M., & Yao, L. (2017). SourceVote: Fusing Multi-valued Data via Inter-source Agreements (pp. 164–172). Valencia, Spain: Springer, Lecture notes in Computer Science. https://doi.org/10.1007/978-3-319-69904-2\_13

Ngu, A. H., Fang, X. S., Sheng, Q. Z., & Wang, X. (2017). Value Veracity Estimation for Multi-Truth Objects via a Graph-Based Approach. Perth, Australia: ACM (Creative Commons).

Yang, T., & Ngu, A. (2017). Implementation of Decision Tree Using Hadoop MapReduce. International Journal of Biomedical Data Mining, 6(125). https://doi.org/10.4172/2090-4924.100012

Yao, L., Sheng, Q., Ngu, A., Li, X., Gao, B., & Wang, S. (2016). Multi-Label Classification via Learning a Unified Object-Label Graph with Sparse Representation. World Wide Web Journal (WWWJ), 19(6), 1125–1149.

Ngu, A., Feng, S., & Paik, H. (2016). Social-PPM: Personal Experiences Sharing and Recommendation. IEEE Computer Society Publisher.

Sheng, Q. Z., Li, X., Ngu, A., Qin, Y., & Deng, X. (2016). Special issue on Web of Things. Information System Frontiers, a journal of Research and Innovation (Vol. 18). Springer.

Jing, X., Hye-Young, P., Ngu, A., & Zhan, L. (2016). Aggregated Search over Personal Process Description Graph.

Yao, L., Sheng, Q., Ngu, A., & Li, X. (2016). Things of Interest Recommendation by Leveraging Heterogeneous Relations in Internet of Things. ACM Transactions on Internet Technology (TOIT), 16(2).

Noor, T. H., Sheng, Q., Yao, L., Dustdar, S., & Ngu, A. (2016). CloudArmor: Supporting Reputation-based Trust Management for cloud Services. IEEE Transactions on Parallel and Distributed Systems (TPDS), 27(2).

Yao, L., Sheng, Q., Ngu, A., & Yu, J. (2015). Unified Collaborative and Content-Based Web Services Recommendation. IEEE Transactions on Services Computing, 8(3), 453–466.

Gutierrez, M., Fast, M., Ngu, A., & Gao, B. (2015). Real-Time Prediction of Blood Alcohol Content Using Smartwatch Sensor Data.

Jing, X., Hye-Young, P., & Ngu, A. (2015). Personal Process Description Graph for Describing and Querying Personal Processes.

Ngu, A., Julian, S., Ma, J., Sheng, Q. Z., & Yao, L. (2014). ServiceXplorer: A Similarity-based Web Service Search Engine.

Noor, T. H., Sheng, Q., Ngu, A., & Dustdar, S. (2014). Analysis of Web-Scale Cloud Services. IEEE Transactions on Services Computing, 18(4).

Yao, L., Sheng, Q. Z., & Ngu, A. (2014). ThingsNavi: Finding Most Related Things Via Multi-Dimensional Modeling Human-Things Interactions.

Ngu, A., Memmi, H., Torres, J., Park, H., Hajimirsadeghi, S., & Shepherd, J. (2014). Social-PPM: Social-Aware Personal Process Management.

Boman, J., Taylor, J., & Ngu, A. (2014). Flexible Middleware for Integration of Things and Applications.

Noor, T. H., Sheng, Q. Z., & Ngu, A. (2013). Cloud Armor: A Platform for Credibility-Based Trust Management of Cloud Services.

Noor, T. H., Sheng, Q. Z., Alfazi, A., Law, J., & Ngu, A. (2013). CSCE: A Crawler Engine for Cloud Services Discovery on the World Wide Web.

Yao, L., Sheng, Q. Z., Gao, B., & Ngu, A. (2013). A Model for Discovering Correlations of Ubiquitous Things.

Ma, J., Sheng, Q. Z., Lao, K., Zhang, Y., & Ngu, A. (2012). WS-Finder: A Framework for Similarity Search of  Web Services.

Chow, T. E., Ngu, A., Lin, Y., Phillips, C., & Thornhill, S. (2012). Record Linkage of Web Demographics as a GeoComputation Challenge. Volunteered Geographic Information in Advancing Science: Quality and Credibility, GIScience 2012.

Hicks, C., Scheffer, M., Ngu, A., & Sheng, Q. Z. (2012). Discovery and Cataloging of Deep Web Sources.

Ngu, A., Jamnagarwala, A., Chin, G., Sivaramakrishnan, G., & Critchlow, T. (2011). Kepler Scientific Workflow Design and Execution with Contexts. International Journal on Computers and Their Applications, 18(3).

Chin, G., Srinivasan, G., Critchlow, T., Schuchardt, K., & Ngu, A. (2011). Scientist-Centered Workflow Abstractions via Generic Actors, Workflow Templates and Context-Awareness for Groundwater Modelling and Analysis.

Ngu, A., Chin, G., & Critchlow, T. (2011). Context-Aware Actors.

Ngu, A., Carlson, M. P., Sheng, Q. Z., & Paik, H. (2010). Semantic-based Mashup of Composite Applications. IEEE Transactions on Services Computing, 3(1), 2–15.

Ngu, A., Jamnagarwala, A., Chin, A., Sivaramakrishnan, G., & Critchlow, T. (2010). Context-Aware Scientific Workflow Systems. Journal of Business Process Management and Integration, 5(1).

Hoang, D. T., Paik, H. Y., & Ngu, A. (2010). Spreadsheet as a Generic Purpose Mashup Development Environment.

Sheng, Q. Z., Pholenz, S., Yu, J., Wong, H. S., Ngu, A., & Maamar, Z. (2009). ContextServ: A Platform for Rapid and Flexible Development of Context-Aware Web Services.

Sheng, Q. Z., Maamar, Z., Yu, J., & Ngu, A. (2009). Robust Web Services Provisioning Through On-Demand Replication.

Ngu, A., Gu, Q., Peng, Q., & Roberts, M. (2009). ActionItem: Collaboration through Commitment and Social Tasking, Department of Computer Science. Texas State Report.

Yildiz, U., Guabtni, A., & Ngu, A. (2009). Towards Scientific Workflow Patterns.

Yildiz, U., Guabtni, A., & Ngu, A. (2009). Business verses scientific workflows: A comparative study.

Ngu, A., & West, S. (2009). Kepler-Discovery: An open source cyber-learning resource for AP Environmental Science. Texas Academy of Science.

Sheng, Q. Z., Benatallah, B., Maamar, Z., & Ngu, A. (2009). Configurable Composition and Adaptive Provisioning of Web Services. IEEE Transactions on Services Computing, 2(1), 34–49.

Ngu, A., Liu, Y., Zeng, L., & Sheng, Q. (2008). Configurable QoS Computation and Policing in Dynamic Web Service Selection. In D. Georgakopoulos & M. Papazoglou (Eds.), Service Oriented Computing (SOC). MIT Press.

Carlson, M. P., Ngu, A., Podorozhny, R., & Zeng, L. Z. (2008). Automatic Mash Up of Composite Applications.

Ngu, A., Bowers, S., Haasch, N., McPhillips, T., & Critchlow, T. (2008). Flexible Scientific Workflow Modeling using Frames, Templates and  Dynamic Embedding.

Zeng, L. Z., Ngu, A., Benatallah, B., Podorozhny, R., & Lei, H. (2008). Dynamic Composition and Optimization of  Web Services. Journal on Distributed and Parallel Databases, 24(3).

Shen, J., Shepherd, J., & Ngu, A. (2007). An Empirical Study of Query Effectiveness Improvement via Multiple Visual Feature Integration. International Journal on Image and Graphics (IJIG), 7(3).

Ngu, A., & Sheng, Q. Z. (2007). A Novel Approach for Robust Web Services Provisioning.

Ngu, A., Kitsuregawa, M., & Neuhold, E. (2007). Special issue on Web Information Systems Engineering Journal of World Wide Web: Internet and Information Systems (Vol. 10).

Ngu, A., Haasch, N., Critchlow, T., Bowers, S., McPhillips, T., & Ludaescher, B. (2007, April). Flexible Scientific Workflows Using Frames and Dynamic Embedding. Texas State Report- Department of Computer Science.

Ngu, A., Haasch, N., Critchlow, T., Bowers, S., McPhillips, T., & Ludaescher, B. (2007). Flexible Scientific Workflow through Dynamic Embedding.

Shen, J., Shepherd, J., & Ngu, A. (2006). A Novel Signature Technique for Efficient Retrieval over Large Music Datasets. In D. Androutsos (Ed.), Semantic Multimedia Retrieval. CRC Press.

Shen, J., Shepherd, J., & Ngu, A. (2006). InMAF: Indexing music databases via multiple acoustic features.

Zhao, Z., Sheng, Q. Z., & Ngu, A. (2006). On-Demand Invocation of web Services.

Ngu, A. (2006). [Review of Web Services: Principles and Technology]. Pearson, Prentice Hall.

Shen, J., Shepherd, J., & Ngu, A. (2006). Efficient Content based Retrieval with Multiple Acoustic Feature Composition. IEEE Transactions on Multimedia, 8(6).

Podorozhny, R., Ngu, A., & Georgakopoulos, D. (2006). Business Process Learning for Real Time Enterprise.

Bowers, S., Ludaescher, B., Ngu, A., & Critchlow, T. (2006). Enabling Scientific Workflow Reuse through Structured Composition of Dataflow and Control-Flow.

Shen, J., Shepherd, J., & Ngu, A. (2005). On Efficient Genre Music Classification.

Ngu, A., Buttler, D., & Critchlow, T. (2005). Automatic Generation of Service Class Description for Automatic Classification of Web Sources.

Ngu, A., Rocco, D., Critchlow, T., & Buttler, D. (2005). Automatic Discovery and Inferencing of Complex Bioinformatics Web Interfaces. Journal of World Wide Web: Internet and Information Systems, 8(4).

Ngu, A., Kitsuregawa, M., Neuhold, E., Chung, J.-Y., & Sheng, Q. (2005). Web Information Systems Engineering (WISE05) Proceedings. New York City, New York, United States: Springer.

Ngu, A., Shen, J., & Shepherd, J. (2005). Towards Semantically Meaningful Feature Spaces for Effective Indexing. In U. Srinivasan & S. Nepal (Eds.), Large Image Databases, Managing Multimedia Semantics. IRM Press.

Shen, J., Shepherd, J., & Ngu, A. (2005). Semantic-Sensitive Classification for Large Image Libraries```.

Zeng, L. L., Benatallah, B., Ngu, A., Dumas, M., Kalaganam, J., & Cheng, J. (2004). QoS-Aware Middleware for Web Services Composition. IEEE Transactions on Services Computing, 30(5).

Ngu, A., Harangsri, B., & Shepherd, J. (2004). Query Size Estimation for Joins using Systematic Sampling. Journal of Distributed and Parallel Databases, 15(3).

Liu, A., Gouda, G. M., Ma, H., & Ngu, A. (2004). [Review of Non-Intrusive Testing of Firewalls, by G. M. Gouda]. In Invited Talk:Non-Intrusive Testing of Firewalls.

Liu, A., Gouda, G. M., Ma, H., & Ngu, A. (2004). Ngu AHH., Firewall Queries.

Shen, J., Ngu, A., & Shepherd, J. (2004). Integrating Heterogeneous Features for Efficient Content Based Music Retrieval.

Shen, J., Benatallah, B., Maamar, Z., Dumas, M., & Ngu, A. (2004). Enabling Personalized Composition and Adaptive Provisioning of Web Services.

Shen, J., Shepherd, J., Ngu, A., & Huynh, D. (2004). Improving Query Effectiveness for Large Image Databases with Multiple Visual Feature Combination.

Liu, Y., Zeng, L. Z., & Ngu, A. (2004). Computation and Policing in Dynamic Web Service Selection.

Zeng, L., Benatallah, B., Lei, H., Ngu, A., Flaxer, K., & Chang, H. (2003). Flexible Composition of Enterprise Web Services. International Journal of Electronic Commerce and Business Media, 13(2).

Shen, J., Ngu, A., Shepherd, J., Huynh, D., & Sheng, Q. Z. (2003). CMVF: A Novel Dimension Reduction Scheme for Efficient Indexing in A Large Image Database (a demo paper).

Ngu, A., Rocco, D., Critchlow, T., & Buttler, D. (2003, December). Automatic Discovery and Inferencing of Complex Bioinformatics Web Interfaces. Lawrence Livermore National Laboratory Technical Report.

Nodine, M., Ngu, A., Cassandra, T., & Bohrer, W. (2003). Scalable Semantic Brokering over Dynamic Heterogeneous Data Sources in InfoSleuth. IEEE Transactions on Knowledge and Data Engineering, 15(5).

Medjahed, B., Benatallah, B., Bouguettaya, A., Ngu, A., & Elmagarmid, A. (2003). Business-to-Business Interactions: Issues and Enabling Technologies. The VLDB Journal, 12.

Agrawal, R., Dittrich, K., & Ngu, A. (2002). Proceedings of the Eighteenth International Conference on Data Engineering (ICDE2002). IEEE Computer Society Publisher.

Benatallah, B., Dumas, M., Sheng, Q. Z., & Ngu, A. (2002). Declarative Composition and Peer-to-Peer Provisioning of Dynamic Web Services.

Ngu, A., Georgakopoulos, D., Baker, D., & Cichocki, A. (2002). Advanced Process-based Component Integration in Telcordia’s Cable OSS, (a demo paper).

Zeng, L. Z., Benatallah, B., & Ngu, A. (2001). AgFlow: Agent-based Cross-Enterprise Workflow Management System (a demo paper).

Zeng, L. Z., Ngu, A., & Benatallah, B. (2001). On Demand Business-to-Business Integration.

Zeng, L. Z., Ngu, A., & Benatallah, B. (2001). Agent-based Service Discovery for Workflow Integration, Proceedings of the International Symposium on Information Systems and Engineering.

Zeng, L. Z., Ngu, A., Benatallah, B., & O’Dell, M. (2001). Agent-based Service Discovery for Workflow Integration, Proceedings of the International Symposium on Information Systems and Engineering.

Ngu, A., Sheng, Q. Z., Huynh, D., & Lei, R. (2001). Combining Multi-visual Features for Efficient Indexing in a Large Image Database. The VLDB Journal, 9, 279–293.

Ngu, A., Nabil, M., & Shepherd, J. (2001). Modeling and Retrieval of Moving Objects. International Journal on Multimedia Tools and Applications, 13, 35–71.

Srinivasan, U., Ngu, A., & Gedeon, T. (2000). Managing Heterogeneous Information Systems through Discovery and Retrieval of generic concepts, Journal of American Society of Information Science. Journal of American Society of Information Science, 51.

Ngu, A. (1999). Role of Multibrokers in Electronic Commerce.

Nodine, M., Bohrer, W., & Ngu, A. (1999). Semantic Brokering over Dynamic Heterogeneous Data Sources in InfoSleuth.

Ngu, A. (1999). Specification of Cooperative Constraints in Virtual Enterprise Workflow.

Ngu, A. (1999). Specification of Cooperative Constraints in Virtual Enterprise Workflow.

Weigand, H., & Ngu, A. (1998). Flexible Specification of Interoperable Transactions. International Journal on Data and Knowledge Engineering, 25(3).

Ngu, A., & Nabil, N. (1998). An Image Retrieval System for Distributed Environments.

Ngu, A., Harangsri, B., & Shepherd, J. (1997). Selectivity Estimation for Joins Using Systematic Sampling. IEEE Computer Society Press.

Ngu, A., & Lei, R. (1997). Indexing Multi-Visual Feature in Image Database.

Harangsri, B., Matsushima, S., Shepherd, J., & Ngu, A. (1997). Handling Missing Values in Database Systems using a Naive Bayesian Classifier.

Lei, R., Ngu, A., & Jin, J. (1997). Reducing Dimensions of Multiple Visual Features for Indexing in Multimedia Databases (pp. 42–49).

Nabil, N., Ngu, A., & Shepherd, J. (1997). Modeling Moving Objects in Multimedia Databases Fifth International Conference on database Systems for Advanced Application.

Harangsri, B., Shepherd, J., & Ngu, A. (1997). Query Size Estimation Using Machine Learning (II).

Srinivasan, U., Ngu, A., & Gedeon, T. (1996). Concept Clustering for Cooperation in Heterogeneous Information Systems. In R. Meersman & L. Mark (Eds.), Database Application Semantics (pp. 481–499). London, England: Chapman & Hall.

Harangsri, B., Shepherd, J., & Ngu, A. (1996). Query Size Estimation using Systematic Sampling.

Harangsri, B., Shepherd, J., & Ngu, A. (1996). Query Size Estimation using Machine Learning (I).

Ngu, A., Duong, T., & Srinivasan, U. (1996). Workflow Modeling using Tasks and Transactions (extended version).

Nabil, M., Ngu, A., & Shepherd, J. (1996). Picture Similarity Retrieval using 2D Projection Interval Relationships. IEEE Transactions on Knowledge and Data Engineering, 8(4).

Ngu, A., Duong, T., & Srinivasan, U. (1996). Workflow Modeling using Tasks and Transactions.

Harangsri, B., Shepherd, J., & Ngu, A. (1996). Query Optimization in Multidatabase Systems using Query Classification.

Harangsri, B., Shepherd, J., & Ngu, A. (1996). Query Classification in Multidatabase Systems.

Gedeon, T. D., Koczy, L. T., Ngu, A., Bustos, R. A., & Shepherd, J. A. (1995). Learning Fuzzy Measure Functions for Information Retrieval.

Ngu, A., Shepherd, J., & Magin, D. (1995). Engineering Peers: Computer-Assisted Approach to the development of Peer Assessment System.

Srinivasan, U., & Ngu, A. (1995). [Review of Information Re-engineering for Cooperative Clinical Information Systems, by M. Borges, M. Ketabchi, & R. Krishnamurthy]. In 2nd International Conference on Application of Databases (pp. 107–119).

Nabil, M., Shepherd, J., & Ngu, A. (1995). 2D Projection Interval Relationships: A Symbolic Representation of Spatial Relationships.

Shepherd, J., Harangsri, B., Chen, H. L., & Ngu, A. (1995). A Two-Phase Approach to Data Allocation in Distributed Databases.

Ngu, A., Meersman, R., & Weigand, H. (1994). Specification and Verification of Communication Constraints for Interoperable Transaction. International Journal of Intelligent and Cooperative Information Systems, 3(1), 47–65.

Ngu, A., Meersman, R., & Weigand, H. (1994). Specification and Verification of Communication Constraints for Interoperable Transaction.

Anderson, L., Ngu, A., & al, et. (1994). Testing the Limits of Autonomy: The Participant-led Workshop.

Ngu, A., Gedeon, T., & Shepherd, J. (1994). Discovering Indexing Parameters for Information Filtering.

Nabil, M., Ngu, A., & Shepherd, J. (1994). Modeling of Spatio-temporal Relationships in Multimedia Databases.

Nabil, M., Ngu, A., & Shepherd, J. (1994). A Unified Representation of Spatial and Temporal Information in Multimedia Database.

Srinivasan, U., Ngu, A., & Gedeon, T. (1994). Discovery of Generic Concepts from Heterogeneous Clinical Information Systems.

Ngu, A., Shepherd, J., & Yamamoto, T. (1994). A Fuzzy Model for Information Retrieval. In Neural Nets and Soft Computing.

Lee, N., Ngu, A., & Srinivasan, U. (1994). A Hypertext Approach to Querying Clinical Multidatabases.

Ngu, A., Yan, L., & Wong, L. (1993). Heterogeneous Query Optimization using Maximal Subqueries.

Ngu, A., & Wong, L. (1993). PINOL: Persistent Object Oriented Database Programming Language.

Duong, T., Hiller, J., & Ngu, A. (1993). Contracting Mechanism: Dynamic and Flexible Way to Integrate Information.

Dijkstra, J. M., & Ngu, A. (1993). Ariadne: A Standard Compliant and Integrated Electronic Document Delivery System.

Ngu, A., & Gedeon, T. (1993). Index Generation is Better than Extraction.

Duong, T., Hiller, J., & Ngu, A. (1993). Information Integration through Contract.

Gedeon, T., Hiller, J., & Ngu, A. (1993). Storage and Visualization of Medical Images - From Scanner to Database to Display.

Ngu, A., & Shepherd, J. (1993). How to deal with 10,000 news items per day: an Intelligent Assistant for Newsreading.

Harangsri, B., & Ngu, A. (1993). A New Heuristic for Data Allocation.

Ngu, A., Wong, L., & Widjojo, S. (1991). On Canonical and Non-Canonical Classifications. In Lecture Notes in Computer Science. Springer-Verlag.

Ngu, A. (1990). Specification and Verification of Temporal Relationships in Transaction Modeling. Information System, 15(2), 257–267.

Ngu, A., Ooi, B. C., & Wong, L. S. (1990). Types and Classes as Distinct Modelling Concepts in an Object Oriented Data Model. Institute of Systems Science, National University of Singapore.

Lim, J., Ngu, A., & Ooi, B. C. (1990). Visual Programmatic Interface to Object. Institute of Systems Science, National University of Singapore.

Ngu, A. (1989). Conceptual Transaction Modeling. IEEE Transactions on Knowledge and Data Engineering, 1, 508–518.

Ngu, A. (1989). Transaction Modeling.

Ngu, A. (1989). An Integrated Data and Transactions Modeling Environment. Department of Computer Science, University of Western Australia.

Ngu, A. (1987). Data Modelling through Quasi-natural Language (pp. 57–67).

Ngu, A., & Morris, J. (1983). An Experiment in Program Generation.