Vu Minh Hieu Phan

Dr Vu Minh Hieu Phan

Grant-Funded Researcher (B)

Australian Institute for Machine Learning - Projects

Faculty of Sciences, Engineering and Technology

Eligible to supervise Masters and PhD - email supervisor to discuss availability.

Vu Minh Hieu Phan is a research fellow working on foundational AI models, and deep learning for various applications such as image and text generation, and medical image analysis. His research interests include visual foundational models, vision language models, multi-modal modeling, generative model, and unified LLMs that understand multi-modal inputs and perform diverse tasks (e.g., generation, classification, and segmentation). His research has been published at top-tier venues such as CVPR, ACL, IJCV, EMNLP, WACV, MICCAI, and Neurocomputing journal. He serves as a regular reviewer for TPAMI, IJCV, TCSVT, NeurIPS, and CVPR.

My research involves developing deep learning models and large language models for multi-modality, computer vision, natural language processing, and medical image analysis. Here is my Google Scholar profile.

My area of research includes:

  • Multi-modal Large Language Models.
  • Visual foundational models for zero-shot / few-shot learning of medical imaging.
  • Vision-language modeling for medical image classification and segmentation.
  • Generative models for image synthesis.
  • Continual learning of semantic segmentation.
  • Knowledge distillation for efficient deep learning.

  • Journals
    Year Citation
    2025 Ge, J., Zhang, B., Liu, A., Phan, V. M. H., Chen, Q., Shu, Y., & Zhao, Y. (2025). CIT: Rethinking class-incremental semantic segmentation with a Class Independent Transformation. Pattern Recognition, 167, 111707.
    DOI
    2024 Phan, V. M. H., Xie, Y., Qi, Y., Liu, L., Liu, L., Zhang, B., . . . Verjans, J. W. (2024). Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-Training Framework. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, abs/2403.07636, 11492-11501.
    DOI Scopus4
    2024 Phan, V. M. H., Xie, Y., Zhang, B., Qi, Y., Liao, Z., Perperidis, A., . . . To, M. S. (2024). Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 15007 LNCS, 690-700.
    DOI Scopus3
    2023 Phan, V. M. H., Liao, Z., Verjans, J. W., & To, M. S. (2023). Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14229 LNCS, 56-65.
    DOI Scopus9
    2023 Zhang, B., Liu, L., Phan, M. H., Tian, Z., Shen, C., & Liu, Y. (2023). SegViT v2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers. International Journal of Computer Vision, 132(4), 1126-1147.
    DOI Scopus10
    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 Scopus10 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.
    DOI Scopus6

  • Conference Papers
    Year Citation
    2024 Yuan, J., Phan, M. H., Liu, L., & Liu, Y. (2024). FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation. In Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024 (pp. 584-594). Online: IEEE.
    DOI Scopus9
    2024 Liu, L., Wang, Z., Phan, M. H., Zhang, B., Ge, J., & Liu, Y. (2024). BPKD: Boundary Privileged Knowledge Distillation for Semantic Segmentation. In Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024 (pp. 1051-1061). Waikoloa, HI, USA: IEEE COMPUTER SOC.
    DOI Scopus10
    2024 Phan, V. M. H., Xie, Y., Zhang, B., Qi, Y., Liao, Z., Perperidis, A., . . . To, M. -S. (2024). Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis.. In M. G. Linguraru, Q. Dou, A. Feragen, S. Giannarou, B. Glocker, K. Lekadir, & J. A. Schnabel (Eds.), MICCAI (7) Vol. 15007 (pp. 690-700). Marrakesh, Morocco: Springer.
    2024 Chowdhury, T. F., Phan, V. M. H., Liao, K., To, M. -S., Xie, Y., Hengel, A. V. D., . . . Liao, Z. (2024). AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis.. In M. G. Linguraru, Q. Dou, A. Feragen, S. Giannarou, B. Glocker, K. Lekadir, & J. A. Schnabel (Eds.), MICCAI (10) Vol. 15010 (pp. 35-45). Marrakesh, Morocco: Springer.
    2024 Chowdhury, T. F., Liao, K., Phan, V. M. H., To, M. -S., Xie, Y., Hung, K., . . . Liao, Z. (2024). CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation.. In CVPR (pp. 11072-11081). Seattle, WA, USA: IEEE.
    2024 Phan, V. M. H., Xie, Y., Qi, Y., Liu, L., Liu, L., Zhang, B., . . . Verjans, J. W. (2024). Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-Training Framework.. In CVPR (pp. 11492-11501). Seattle, WA, USA: IEEE.
    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.
    DOI Scopus37 WoS5
    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 Scopus5 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.
    DOI Scopus3
    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 Scopus2 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 Scopus206 WoS76

  • Preprint
    Year Citation
    2025 Huy, T. D., Tran, S. K., Nguyen, P., Tran, N. H., Sam, T. B., Hengel, A. V. D., . . . Phan, V. M. H. (2025). Interactive Medical Image Analysis with Concept-based Similarity
    Reasoning.
    2025 Nguyen, D., Ho, M. K., Ta, H., Nguyen, T. T., Chen, Q., Rav, K., . . . Phan, V. M. H. (2025). Localizing Before Answering: A Hallucination Evaluation Benchmark for
    Grounded Medical Multimodal LLMs.
    2024 Phan, V. M. H., Xie, Y., Qi, Y., Liu, L., Liu, L., Zhang, B., . . . Verjans, J. W. (2024). Decomposing Disease Descriptions for Enhanced Pathology Detection: A
    Multi-Aspect Vision-Language Pre-training Framework.

  • Current Higher Degree by Research Supervision (University of Adelaide)
    Date Role Research Topic Program Degree Type Student Load Student Name
    2024 Principal Supervisor Towards Explainable AI in Medical Imaging: Bridging the Gap between Deep Learning and Radiologist Trust with Human Interactions Doctor of Philosophy Doctorate Full Time Mr Huy Ta
    2023 Co-Supervisor Explainable and Semantically Meaningful Deep Learning Models for Medical Risk Prediction and Diagnostics Doctor of Philosophy Doctorate Full Time Mr Townim Faisal Chowdhury
  • Position: Grant-Funded Researcher (B)
  • Email: vuminhhieu.phan@adelaide.edu.au
  • Campus: North Terrace
  • Building: Australian Institute for Machine Learning, floor 2
  • Org Unit: Australian Institute for Machine Learning - Projects
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