Biography
I am a Research Fellow at the Centre for Vision, Speech and Signal Processing, University of Surrey.
Before that, I was a Research Associate at the School of Computer Science, The University of Adelaide from April 2022 to January 2024. I received my PhD in Computer Science from The University of Adelaide in March 2022, an MPhil in Electronic Engineering also from The University of Adelaide in January 2018, and a B.S. in Mechanical Engineering from Portland State University in June 2012.
Areas of study
Machine learning, graphical models and probabilistic programming
Publications
2024
- Garg, Arpit, Nguyen, Cuong C, Felix, Rafael, Do, Thanh-Toan, and Carneiro, Gustavo. 2024. “Noisy-label Learning with Sample Selection based on Noise Rate Estimate”. In: European Conference on Computer Vision. Springer.
- Pham, Cuong, Dung, Hoang Anh, Nguyen, Cuong C, Le, Trung, Phung, Dinh, Carneiro, Gustavo, and Do, Thanh-Toan. 2024. “MetaAug: Meta-Data Augmentation for Post-Training Quantization”. In: European Conference on Computer Vision. Springer.
- Pham, Van Cuong, Nguyen, Cuong C, Le, Trung, Phung, Dinh, Carneiro, Gustavo, and Do, Thanh-Toan. 2024. “Model and feature diversity for Bayesian neural networks in mutual learning”. In: Advances in Neural Information Processing Systems. Vol. 36.
2023
- Garg, Arpit, Nguyen, Cuong C, Felix, Rafael, Do, Thanh-Toan, and Carneiro, Gustavo. 2023. “Instance-dependent noisy label learning via graphical modelling”. In: IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 2288–2298.
- Nguyen, Cuong C., Do, T.T., Carneiro, G., 2023. Task Weighting in Meta-learning with Trajectory Optimisation. In Transactions on Machine Learning Research.
- Nguyen, Cuong C, Dawoud, Youssef, Do, Thanh-Toan, Nascimento, Jacinto C, Belagiannis, Vasileios, and Carneiro, Gustavo. 2023. “Smart task design for meta learning medical image analysis systems: Unsupervised, weakly-supervised, and cross-domain design of meta learning tasks”. In: Meta Learning With Medical Imaging and Health Informatics Applications. Elsevier, pp. 185–209.
2022
- Nguyen, Cuong C., Do, T.T., Carneiro, G., 2022. PAC-Bayes Meta-learning with Implicit Task-specific Posteriors. In IEEE Transactions on Pattern Analysis and Machine Intelligence, doi: 10.1109/TPAMI.2022.3147798.
2021
- Nguyen, Cuong C., Do, T.T., Carneiro, G., 2021. Probabilistic task modelling for meta-learning. In Conference on Uncertainty in Artificial Intelligence
- Nguyen, Linh V, Nguyen, Cuong C, Carneiro, Gustavo, Ebendorff-Heidepriem, Heike, and Warren-Smith, Stephen C. 2021. “Sensing in the presence of strong noise by deep learning of dynamic multimode fiber interference”. In: Photonics Research 9.4, B109–B118.
2020
- Maicas, Gabriel, Nguyen, Cuong C, Motlagh, Farbod, Nascimento, Jacinto C, and Carneiro, Gustavo. 2020. “Unsupervised task design to meta-train medical image classifiers”. In: International Symposium on Biomedical Imaging. IEEE, pp. 1339–1342.
- Nguyen, Cuong C., Do, T.T. and Carneiro, G., 2020. Similarity of classification tasks. In: Neurips 2020 Meta-learn Workshop. [Supplementary]
- Nguyen, Cuong C., Do, T.T. and Carneiro, G., 2020. Uncertainty in model-agnostic meta-learning using variational inference. In: IEEE Winter Conference on Applications of Computer Vision, pp. 3090-3100.
Teaching
Year | Semester | Course | Level | Role |
---|---|---|---|---|
2023 | 2 | Grand Challenges in Computer Science | Undergraduate | Intructor |
2022 | 2 | Grand Challenges in Computer Science | Undergraduate | Intructor |
2021 | 1 | Foundations on Computer Science | Master | Tutor |
2021 | 2 | Foundations on Computer Science | Master | Tutor |
Experience
Research Fellow
University of Surrey, UK
March 2024 - present
Research Associate
The University of Adelaide, Australia
April 2022 - January 2024
Process & Equipment Engineer
Intel Products Vietnam, Vietnam
July 2012 - July 2015