School of Mathematics and Physics

Dr Trung Tin Nguyen

Postdoctoral Research Fellow
School of Mathematics and Physics
View researcher profile

Researcher biography

Hello and welcome! My Vietnamese name is Nguyễn Trung Tín. I therefore used "TrungTin Nguyen" or "Trung Tin Nguyen" in my English publications. The first name is also "Tín" or "Tin" for short.

I am currently a Postdoctoral Research Fellow at The University of Queensland in the School of Mathematics and Physics from December 2023, where I am very fortunate to be mentored by Hien Duy Nguyen, and Xin Guo.

Before going to Queensland, I was a Postdoctoral Research Fellow at the Inria centre at the University Grenoble Alpes in the Statify team, where I was very fortunate to be mentored by Florence Forbes, Julyan Arbel, and collaborated with Hien Duy Nguyen as part of an international project team WOMBAT.

I completed my Ph.D. Degree in Statistics and Data Science at Normandie Univ in December 2021, where I was very fortunate to have been advised by Faicel Chamroukhi. During my Ph.D. research, I am grateful to collaborate with Hien Duy Nguyen, and Geoff McLachlan. I received a Visiting PhD Fellowship for 4 months at the Inria centre at the University Grenoble Alpes in the Statify team within a project LANDER.

Publications

Journal Articles (5)
Conference Papers (8)

Journal Articles

Nguyen, TrungTin, Chamroukhi, Faicel, Nguyen, Hien D. and McLachlan, Geoffrey J. (2023). Approximation of probability density functions via location-scale finite mixtures in Lebesgue spaces. Communications in Statistics - Theory and Methods, 52 (14), 1-12. doi: 10.1080/03610926.2021.2002360
Forbes, Florence, Nguyen, Hien Duy, Nguyen, TrungTin and Arbel, Julyan (2022). Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors. Statistics and Computing, 32 (5) 85, 1-20. doi: 10.1007/s11222-022-10155-6
Nguyen, Trungtin, Nguyen, Hien Duy, Chamroukhi, Faicel and Forbes, Florence (2022). A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models. Electronic Journal of Statistics, 16 (2), 4742-4822. doi: 10.1214/22-EJS2057
Nguyen, Hien Duy, Nguyen, TrungTin, Chamroukhi, Faicel and McLachlan, Geoffrey John (2021). Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models. Journal of Statistical Distributions and Applications, 8 (1) 13. doi: 10.1186/s40488-021-00125-0
Nguyen, T. Tin, Nguyen, Hien D., Chamroukhi, Faicel and McLachlan, Geoffrey J. (2020). Approximation by finite mixtures of continuous density functions that vanish at infinity. Cogent Mathematics and Statistics, 7 (1). doi: 10.1080/25742558.2020.1750861

Conference Papers

Nguyen, Hien Duy, Nguyen, TrungTin and Forbes, Florence (2024). Bayesian Likelihood Free Inference using Mixtures of Experts. IEEE. doi: 10.1109/ijcnn60899.2024.10650052
Nguyen, Huy, Nguyen, TrungTin, Nguyen, Khai and Ho, Nhat (2024). Towards convergence rates for parameter estimation in Gaussian-gated mixture of experts. 27th International Conference on Artificial Intelligence and Statistics, Valencia, Spain, 2-4 May 2024. Cambridge, MA, United States: ML Research Press.
Nguyen, Huy, Akbarian, Pedram, Nguyen, TrungTin and Ho, Nhat (2024). A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts. ML Research Press.
Nguyen, Duy M.H., Lukashina, Nina, Nguyen, Tai, Le, An T., Nguyen, TrungTin, Ho, Nhat, Peters, Jan, Sonntag, Daniel, Zaverkin, Viktor and Niepert, Mathias (2024). Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks. ML Research Press.
Westerhout, Jacob, Nguyen, TrungTin, Guo, Xin and Nguyen, Hien Duy (2024). On the asymptotic distribution of the minimum empirical risk. 41st International Conference on Machine Learning, Vienna, Austria, 21-27 July 2024. ML Research Press.
Nguyen, TrungTin, Nguyen, Dung Ngoc, Nguyen, Hien Duy and Chamroukhi, Faicel (2023). A non-asymptotic risk bound for model selection in a high-dimensional mixture of experts via joint rank and variable selection. 36th Australasian Joint Conference on Artificial Intelligence, Brisbane, QLD, Australia, 28 November - 1 December 2023. Singapore, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-99-8391-9_19
Nguyen, Huy, Nguyen, TrungTin and Ho, Nhat (2023). Demystifying softmax gating function in Gaussian mixture of experts. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, United States, 10-16 December 2023. Maryland Heights, MO, United States: Morgan Kaufmann Publishers.
Do, Giang, Le, Khiem, Pham, Quang, Nguyen, TrungTin, Doan, Thanh-Nam, Nguyen, Binh T., Liu, Chenghao, Ramasamy, Savitha, Li, Xiaoli and Hoi, Steven (2023). HyperRouter: towards efficient training and inference of sparse mixture of experts via hypernetwork. EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Singapore, Singapore, 6-10 December 2023. Kerrville, TX, United States: Association for Computational Linguistics (ACL). doi: 10.18653/v1/2023.emnlp-main.351