Grant-Funded Researcher (B)
Australian Institute for Machine Learning - Projects
Faculty of Sciences, Engineering and Technology
Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.
Hieu Phan is a research fellow working on theoretical computer vision and deep learning models at AIML. His research interests include knowledge distillation, continual learning, and generative models for image synthesis. He also develops theoretical AI models for medical imaging tasks such as medical image synthesis and tumour segmentation. His research has been published at top-tier venues such as ACL, CVPR, MICCAI, and Neurocomputing journal. He serves as a regular reviewer for TPAMI, TCSVT IEEE Access, NeurIPS and CVPR.
My research involves developing artificial intelligence and machine learning for computer vision, medical image analysis and natural language processing, which includes semantic segmentation, knowledge distillation, continual learning and image to image translation. I also develop theoretical AI algorithms for medical imaging, which includes generative models for medical image synthesis and segmentation models for tumour contouring. My works have been published in top-tier AI venues in various fields, such as CVPR, MICCAI, ACL and Neurocomputing journal. I have served as a regular reviewer for TPAMI, TCSVT IEEE Access, NeuRIPS, and CVPR. Here is my Google Scholar profile.
Year Citation 2022 Phan, M. H., Phung, S. L., Luu, K., & Bouzerdoum, A. (2022). Efficient hyperspectral image segmentation for biosecurity scanning using knowledge distillation from multi-head teacher. Neurocomputing, 504, 189-203.
DOI Scopus3 WoS2
2021 Phan, M. H., Nguyen, Q., Phung, S. L., Zhang, W. E., Vo, T. D., & Sheng, Q. Z. (2021). CompactNet: A Light-Weight Deep Learning Framework for Smart Intrusive Load Monitoring. IEEE Sensors Journal, 21(22), 25181-25189.
- Phan, M. H., Liao, Z., Verjans, J. W., & To, M. -S. (n.d.). Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation. MICCAI 2023.
Year Citation 2022 Phan, M. H., Ta, T. -A., Phung, S. L., Tran-Thanh, L., & Bouzerdoum, A. (2022). Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Vol. 2022-June (pp. 16845-16854). Online: IEEE.
2020 Nguyen, V. K., Sheng, Q. Z., Mahmood, A., Zhang, W. E., Phan, M. H., & Vo, T. D. (2020). Demo abstract: an internet of plants system for micro gardens. In Proceedings of the 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2020) (pp. 355-356). online: IEEE.
DOI Scopus3 WoS1
2020 Nguyen, V. K., Phan, M. H., Zhang, W. E., Sheng, Q. Z., & Vo, T. D. (2020). A hybrid approach for intrusive appliance load monitoring in smart home. In Proceedings of the IEEE International Conference on Smart Internet of Things (SmartIoT 2020) (pp. 154-160). online: IEEE.
2020 Phan, M. H., Phung, S. L., & Bouzerdoum, A. (2020). Ordinal depth classification using region-based self-attention. In Proceedings of ICPR 2020 25th International Conference on Pattern Recognition (pp. 3620-3627). New York, NY, USA: IEEE.
DOI Scopus1 WoS1
2020 Phan, M. H., & Ogunbona, P. O. (2020). Modelling Context and Syntactical Features for Aspect-based Sentiment Analysis. In D. Jurafsky, J. Chai, N. Schluter, & J. Tetreault (Eds.), Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (pp. 3211-3220). Stroudsburg PA, USA: Association for Computational Linguistics.
DOI Scopus109 WoS72
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