School of Mathematics and Physics

Dr Trung Tin Nguyen

Postdoctoral Research Fellow
School of Mathematics and Physics
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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 (2)

Journal Articles

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, Chamroukhi, Faicel, Nguyen, Hien D. and McLachlan, Geoffrey J. (2022). 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
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, 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
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. Association for Computational Linguistics (ACL).