2025
Parameter Efficient Fine-Tuning for Multi-modal Generative Vision Models with Möbius-Inspired Transformation.
Int. J. Comput. Vis., July, 2025
Laser: Efficient Language-Guided Segmentation in Neural Radiance Fields.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2025
D2Fusion: Dual-domain Fusion with Feature Superposition for Deepfake Detection.
CoRR, March, 2025
FedSCA: Federated Tuning with Similarity-guided Collaborative Aggregation for Heterogeneous Medical Image Segmentation.
CoRR, March, 2025
D2Fusion: Dual-domain fusion with feature superposition for Deepfake detection.
Inf. Fusion, 2025
A Circular Construction Product Ontology for End-of-Life Decision-Making.
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Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025
LAGD: Local Topological-Alignment and Global Semantic-Deconstruction for Incremental 3D Semantic Segmentation.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Digital literacy in undergraduate pharmacy education: a scoping review.
J. Am. Medical Informatics Assoc., February, 2024
Exemplar-condensed Federated Class-incremental Learning.
CoRR, 2024
Dataset Distillation-based Hybrid Federated Learning on Non-IID Data.
CoRR, 2024
ExactDreamer: High-Fidelity Text-to-3D Content Creation via Exact Score Matching.
CoRR, 2024
Rehearsal-free Federated Domain-incremental Learning.
CoRR, 2024
Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score Matching.
CoRR, 2024
From Sora What We Can See: A Survey of Text-to-Video Generation.
CoRR, 2024
Dual Variational Knowledge Attention for Class Incremental Vision Transformer.
Proceedings of the International Joint Conference on Neural Networks, 2024
Poly Instance Recurrent Neural Network for Real-time Lifelong Learning at the Low-power Edge.
Proceedings of the IEEE International Conference on Big Data, 2024
LEAP: Lifelong Learning Edge-Cloud Adaptive Fused Framework for Mobility Prediction.
Proceedings of the IEEE International Conference on Big Data, 2024
2023
Explainable AI (XAI): Core Ideas, Techniques, and Solutions.
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ACM Comput. Surv., 2023
Tiny-Impute: A Framework for On-device Data Quality Validation, Hybrid Anomaly Detection, and Data Imputation at the Edge.
Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing, 2023
Learning partial correlation graph for multivariant sensor data and detecting sensor communities in smart buildings.
Proceedings of the 11th Linked Data in Architecture and Construction Workshop, 2023
2022
FedMSA: A Model Selection and Adaptation System for Federated Learning.
Sensors, 2022
An ontology-based system for discovering landslide-induced emergencies in electrical grid.
Trans. Emerg. Telecommun. Technol., 2022
2021
Use of Social Media Data in Disaster Management: A Survey.
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Future Internet, 2021
2020
Cloud-aided online EEG classification system for brain healthcare: A case study of depression evaluation with a lightweight CNN.
Softw. Pract. Exp., 2020
Semantic Web of Things for Industry 4.0.
Semantic Web, 2020
Ontology-based discovery of time-series data sources for landslide early warning system.
Computing, 2020
Active Hazard Observation via Human in the Loop Social Media Analytics System.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
Context-Based Knowledge Discovery and Querying for Social Media Data.
Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019
2018
Cloud computing based bushfire prediction for cyber-physical emergency applications.
Future Gener. Comput. Syst., 2018
A parallel online trajectory compression approach for supporting big data workflow.
Computing, 2018
Realizing Edge Marketplaces: Challenges and Opportunities.
IEEE Cloud Comput., 2018
Towards Brain Big Data Classification: Epileptic EEG Identification With a Lightweight VGGNet on Global MIC.
IEEE Access, 2018
Visual Analytics Ontology-Guided I-DE System: A Case Study of Head and Neck Cancer in Australia.
Proceedings of the 4th IEEE International Conference on Collaboration and Internet Computing, 2018
2017
Associative retrieval in spatial big data based on spreading activation with semantic ontology.
Future Gener. Comput. Syst., 2017
2016
Designing and conceptualising ontology patterns for modelling cross-domain health information.
PhD thesis, 2016
Remote health care cyber-physical system: quality of service (QoS) challenges and opportunities.
IET Cyper-Phys. Syst.: Theory & Appl., 2016
2015
Investigating an ontology-based approach for Big Data analysis of inter-dependent medical and oral health conditions.
Clust. Comput., 2015
Orchestrating Quality of Service in the Cloud of Things Ecosystem.
Proceedings of the IEEE International Symposium on Nanoelectronic and Information Systems, 2015
2014
A Guiding Framework for Ontology Reuse in the Biomedical Domain.
Proceedings of the 47th Hawaii International Conference on System Sciences, 2014
2013
OSHCO: A Cross-domain Ontology for semantic interoperability across medical and oral health domains.
Proceedings of the IEEE 15th International Conference on e-Health Networking, 2013
Enhancing Automated Decision Support across Medical and Oral Health Domains with Semantic Web Technologies.
Proceedings of the Australasian Conference on Information Systems, 2013