Eng-Jon Ong

San Jose State University — United States

Computer Science · Physical Sciences

20h-index1.3kcitations66works0.62yr avg
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Research Topics

Human Pose and Action Recognition(15), Video Analysis and Summarization(12), Face recognition and analysis(11), Image Retrieval and Classification Techniques(10), Speech and Audio Processing(10)

Publications66 total

Ga <sub>2</sub> O <sub>3</sub> TCAD Mobility Parameter Calibration Using Simulation Augmented Machine Learning With Physics-Informed Neural Network
IEEE Transactions on Electron Devices·2026Open Access
Genomic analyses of arugula (Eruca sativa) accessions reveal domestication history and breeding insights
Horticulture Advances·2025Open Access
Robo-Sort: Real-Time Object-Based Detection for Automated Solid Waste Collection and Segregation Using YOLOv8
2025
Techno-Economic Assessment of Integrating Solar and Wind Energy to Existing Hydropower Plant in Catanduanes Island Using HOMER and GIS
2025
Utilizing machine learning in genomic selection of Holstein dairy cattle’s residual feed intake
Animal - science proceedings·2025
Australian Community Pharmacists' Preparedness to Offer and Discuss Hepatitis C Testing and Treatment With Pharmacy Clients: A Representative Cross‐Sectional Survey
Journal of Viral Hepatitis·2025· 3 citedOpen Access
Investigating the Impact of Gamification Elements on a Production Environment
International Journal of Industrial and Systems Engineering·2025
Comparative Study of <scp>GenAI</scp> (<scp>ChatGPT</scp>) vs. Human in Generating Multiple Choice Questions Based on the <scp>PIRLS</scp> Reading Assessment Framework
Proceedings of the Association for Information Science and Technology·2024· 3 cited
Deep Fisher-Vector Descriptors for Image Retrieval and Scene Recognition
2024
121. Utilizing machine learning models to predict dry matter intake in dairy cattle via herd and milk production data
Animal - science proceedings·2024
Single-cell subcellular protein localisation using novel ensembles of diverse deep architectures
Communications Biology·2023· 11 citedOpen Access
Understanding the Distributions of Aggregation Layers in Deep Neural Networks
IEEE Transactions on Neural Networks and Learning Systems·2022· 1 cited
Single-cell Subcellular Protein Localisation Using Novel Ensembles of Diverse Deep Architectures
arXiv (Cornell University)·2022Open Access
Understanding the Distributions of Aggregation Layers in Deep Neural Networks
arXiv (Cornell University)·2021· 1 citedOpen Access
ACTNET: End-to-End Learning of Feature Activations and Multi-stream Aggregation for Effective Instance Image Retrieval
International Journal of Computer Vision·2021· 2 citedOpen Access
ACTNET: end-to-end learning of feature activations and aggregation for effective instance image retrieval
arXiv (Cornell University)·2019· 1 citedOpen Access
ACTNET: end-to-end learning of feature activations and multi-stream\n aggregation for effective instance image retrieval
arXiv (Cornell University)·2019· 1 citedOpen Access
Deep Architectures and Ensembles for Semantic Video Classification
IEEE Transactions on Circuits and Systems for Video Technology·2018· 25 cited
Deep Architectures and Ensembles for Semantic Video Classification
arXiv (Cornell University)·2018· 2 citedOpen Access
Cultivating DNN Diversity for Large Scale Video Labelling
arXiv (Cornell University)·2017· 9 citedOpen Access
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Frequent Co-authors

Richard Bowden(28), Mirosław Bober(11), Syed Sameed Husain(10), Richard Harvey(6), Helen Cooper(5), Nicolas Pugeault(5), Yuxuan Lan(5), Tim Sheerman-Chase(5), Mikel Bober-Irizar(4), Dumebi Okwechime(4), Barry Theobald(3), Barry-John Theobald(3), Antonio S. Micilotta(2), Adrian Hilton(2), Brian Holt(2), Stephen Cox(2), Gari Owen(2), Shaogang Gong(2), Andrew Gilbert(2), A. M. Toma(1)