HighlightsThese highlights are AI-generated using the faculty's CV and Google Scholar profile
Chong Wah Ngo is a globally recognized leader in multimedia search, video analytics, and cross-modal intelligence, whose pioneering research and academic leadership have shaped the fields of computer vision, machine learning, and multimedia information retrieval.
Combines foundational and applied advances in multimedia search, video analytics, and cross-modal intelligence, with significant impact on real-world applications in wellness, food recognition, and interactive multimedia retrieval; consistently emphasizes interpretable models, scalability, and cross-disciplinary integration; recognized for leadership in international research consortia, editorial boards, and steering committees.
Focused research areas include Multimodal search and retrieval, video analytics, cross-modal intelligence, interpretable embedding, domain adaptation, food recognition and nutrition estimation, visual question answering, interactive search, and causality-driven cross-modal learning for multimedia applications.
Combines foundational and applied advances in multimedia search, video analytics, and cross-modal intelligence, with significant impact on real-world applications in wellness, food recognition, and interactive multimedia retrieval; consistently emphasizes interpretable models, scalability, and cross-disciplinary integration; recognized for leadership in international research consortia, editorial boards, and steering committees.
Focused research areas include Multimodal search and retrieval, video analytics, cross-modal intelligence, interpretable embedding, domain adaptation, food recognition and nutrition estimation, visual question answering, interactive search, and causality-driven cross-modal learning for multimedia applications.
Areas of Expertise
MultimediaFood ComputingComputer VisionInformation Retrieval
Past Awarded Grant
- AI-InterRAI: AI-Assisted InterRAI Assessment and Evaluation for Person-Centred Care Planning and Healthy Ageing, Singapore-New Zealand Joint Grant Call on Leveraging AI for Healthy Ageing, AI Singapore, National University of Singapore (NUS), PI (Project Level): DAI Bing Tian, Co-PI (Project Level): TAN Kar Way, NGO Chong Wah, 2025, S$1,329,998.8
- Food Recognition: Causality-driven Cross-modal Cross-lingual Domain Adaptation, Academic Research Fund (AcRF) Tier 2, Ministry of Education (MOE), PI (Project Level): NGO Chong Wah, Co-PI (Project Level): Rajesh Krishna BALAN, 2023, S$749,177
- Unleashing the Power of Pre-trained Models for VisualQA: A Skill-based Framework, Academic Research Fund (AcRF) Tier 2, Ministry of Education (MOE), PI (Project Level): Jing JIANG, Co-PI (Project Level): NGO Chong Wah, 2023, S$656,253
- Interpretable Embedding for Interactive Video Search, SMU Internal Grant, Ministry of Education (MOE) Tier 1, PI (Project Level): NGO Chong Wah, 2020, S$98,950
- Automated CWD Detection with Machine Learning for Vessel-based Line Transect Survey, Marine Ecology Enhancement Fund, Hong Kong Airport Authority, Co-PI (Project Level): NGO Chong Wah, 2020
Latest Publications
Showing up to 6 latest publications from the past 5 years.
- B Satar, Z Ma, PA Irawan, WA Mulyawan, J Jiang, EP Lim, CW NgoProceedings of the 2025 Conference on Empirical Methods in Natural Language …, 2025
- P Jin, Y Wen, M Yu, Y Ma, R Zheng, J Fan, CW NGOProceedings of the 33rd ACM International Conference on Multimedia, 13540-13542, 2025
- Q Wang, CW Ngo, Y Cao, EP LimProceedings of the 33rd ACM International Conference on Multimedia, 6223-6231, 2025
- Y Chu, L Liao, Z Zhou, CW Ngo, R HongIEEE Transactions on Multimedia, 2025
- Y Yin, H Qi, B Zhu, J Chen, YG Jiang, CW NgoIEEE Transactions on Multimedia, 2025
- HSJ Chew, JW Ngooi, RC Du, PZ Chan, M Jansson, B Zhu, Y Cao, ...European Journal of Cardiovascular Nursing 24 (Supplement_1), zvaf122. 128, 2025
Qualification
- PhD, Hong Kong University of Science and Technology, 2000
Teaching Topics
- Operating System Concepts with Android
- Data Management