People

Dr. Fu is interested in interdisciplinary research that applies artificial intelligence, machine learning, signal processing and multimedia computing to human-centered problems . His prior work has covered diverse fields ranging from fight detection, behaviour understanding, physiological signal measurement, mental stress monitoring to eye healthcare, educational data mining and firefighting engineering.

• Artificial Intelligence
• Machine Learning
• Multimedia Computing
• Human-Centered Computing
• Reliable AI
• AI security

Journal Publications

• Wang, K., Zhai, X., Cheung, M.M., Fu, E. Y., Chen, P. Q., Ngai, G., Leong, H. V. (2025). TMAN: A temporal multimodal attention network for backchannel detection Neurocomputing, 131605. https://doi.org/10.1016/j.neucom.2025.131605

• Cheung, M. M., Yang, Z., Zhai, X., Fu, E. Y., Ngai, G., Leong, H. V., ... & Do, C. W. (2025). Refractive error detection in smartphone images via convolutional neural network. International Journal of Medical Informatics, 106083. https://doi.org/10.1016/j.ijmedinf.2025.106083

• Zhai, X., Wang, Y., Liang, L., Wang, K., Pei, F., & Fu, E. Y. (2025). Personalized e-learning resource recommendation using multimodal-enhanced collaborative filtering. Knowledge-Based Systems, 319, 113605. https://doi.org/10.1016/j.knosys.2025.113605

• Wang, J., Yang, C., Fu, E. Y., Ngai, G., & Leong, H. V. (2023). Is your mouse attracted by your eyes: Non-intrusive stress detection in off-the-shelf desktop environments. Engineering Applications of Artificial Intelligence, 123, 106495. https://doi.org/10.1016/j.engappai.2023.106495

• Fu, E. Y., Ngai, G., Leong, H. V., Chan, S. C., & Shek, D. T. (2023). Using attention-based neural networks for predicting student learning outcomes in service-learning. Education and Information Technologies, 28(10), 13763-13789.https://doi.org/10.1007/s10639-023-11592-0

• Tam, W. C., Fu, E. Y., Li, J., Peacock, R., Reneke, P., Ngai, G., ... & Huang, M. X. (2023). Real-time flashover prediction model for multi-compartment building structures using attention based recurrent neural networks. Expert Systems with Applications, 223, 119899.https://doi.org/10.1016/j.eswa.2023.119899

Conference Papers

• Wang, K., Shen, Z., Zhang, Y., Cheung, M. M., Luo, X., Ngai, G., & Fu, E. Y. (2025, October). One Size Fits All? A Modular Adaptive Sanitization Kit (MASK) for Customizable Privacy-Preserving Phone Scam Detection. In Proceedings of the 33rd ACM International Conference on Multimedia (pp. 12381-12389).https://doi.org/10.1145/3746027.3758164

• Liao, W., Yan, S., Zhang, Y., Zhai, X., Wang, Y., & Fu, E. (2025, April). Is Your Autonomous Vehicle Safe? Understanding the Threat of Electromagnetic Signal Injection Attacks on Traffic Scene Perception. Proceedings of the AAAI Conference on Artificial Intelligence, Washington, DC, USA.https://doi.org/10.1609/aaai.v39i26.34958

• Shen, Z., Wang, K., Zhang, Y., Ngai, G., & Fu, E. Y. (2025, April). Combating Phone Scams with LLM-based Detection: Where Do We Stand? (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, Washington, DC, USA.https://doi.org/10.1609/aaai.v39i28.35298

• Shen, Z., Yan, S., Zhang, Y., Luo, X., Ngai, G., & Fu, E. Y. (2025, April). "It Warned Me Just at the Right Moment": Exploring LLM-based Real-time Detection of Phone Scams. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, Yokohama, Japan.https://doi.org/10.1145/3706599.3720263

• Zhang, Y., Yang, C., Fu, E. Y., Jiang, Q., Yan, C., Chau, S. Y., ... & Xu, W. (2024, July). Understanding Impacts of Electromagnetic Signal Injection Attacks on Object Detection. In 2024 IEEE International Conference on Multimedia and Expo (ICME) (pp. 1-6). IEEE.https://doi.org/10.1109/ICME57554.2024.10688003

• Yang, C., Wang, K., Chen, P. Q., Cheung, M. M., Zhang, Y., Fu, E. Y., & Ngai, G. (2023, October). Multimediate 2023: Engagement level detection using audio and video features. In Proceedings of the 31st ACM International Conference on Multimedia (pp. 9601-9605).https://doi.org/10.1145/3581783.3612873

• Wang, K., Cheung, M. M., Zhang, Y., Yang, C., Chen, P. Q., Fu, E. Y., & Ngai, G. (2023, October). Unveiling subtle cues: Backchannel detection using temporal multimodal attention networks. In Proceedings of the 31st ACM International Conference on Multimedia (pp. 9586-9590).https://doi.org/10.1145/3581783.3612870

Research Gate: https://www.researchgate.net/profile/Eugene-Fu

Github: https://github.com/AffectiveComputingLab-HK

• Silver Medal, International Exhibition of Inventions Geneva 2025

• Date of receipt: 12/4/2025, Conferred by: International Exhibition of Inventions Geneva

• Silver Medal, International Exhibition of Inventions Geneva 2023

• Date of receipt: 28/4/2023, Conferred by: International Exhibition of Inventions Geneva