Tai Nguyen

Tai Nguyen

Mr

 https://orcid.org/0009-0004-7707-2069

Personal profile

Research overview

Tai is a PhD student at the School of Computer Science. His research interests lie at the intersection of machine learning and natural computing. He has authored and co-authored publications in top-ranking conferences, including ICML, GECCO, ACML, IEEE BigData.

Education/Academic qualification

Ph.D in Computer Science, Sorbonne Université

27 Sept 2024 → 26 Sept 2028

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  • 5 Conference contribution

  • Dude: dual distribution-aware context prompt learning for large vision-language model

    Nguyen, D. M. H., Le, A. T., Nguyen, T. Q., Diep, N. T., Nguyen, T., Duong-Tran, D., Peters, J., Shen, L., Niepert, M. & Sonntag, D., 14 Jan 2025, Proceedings of ACML 2024. Nguyen, V. & Lin, H.-T. (eds.). PMLR, p. 687-702 16 p. (Proceedings of Machine Learning Research; vol. 260).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    File

  • HORUS: multimodal large language models framework for video retrieval at VBS 2025

    Nguyen, T., Anh, V. N. M., Pham, D. D., Vinh, T. Q., Quynh, N. D. T., Tien, L. A., Le, T. D. & Nguyen, B. T., 1 Jan 2025, MultiMedia modeling: 31st international conference on multimedia modeling, MMM 2025, Nara, Japan, January 8–10, 2025, proceedings, part V. Ide, I., Kompatsiaris, I., Xu, C., Yanai, K., Chu, W.-T., Nitta, N., Riegler, M. & Yamasaki, T. (eds.). Singapore: Springer Nature Singapore, p. 286-293 8 p. (Lecture notes in computer science; vol. 15524).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • On the importance of reward design in reinforcement learning-based dynamic algorithm configuration: a case study on OneMax with (1+(λ,λ))-GA

    Nguyen, T., Le, P., Biedenkapp, A., Doerr, C. & Dang, N., Jul 2025, Proceedings of the genetic and evolutionary computation conference 2025 (GECCO '25). New York: ACM, p. 1162 - 1171

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Hierarchical uncertainty aggregation and emphasis loss for active learning in object detection

    Nguyen, T., Nguyen, K., Nguyen, T., Nguyen, T., Nguyen, A. & Kim, K., 22 Jan 2024, 2023 IEEE international conference on big data, proceedings: Dec 15 - Dec 18, 2023, Sorrento, Italy. He, J., Palpanas, T., Hu, X., Cuzzocrea, A., Dou, D., Slezak, D., Wang, W., Gruca, A., Lin, J.C.-W. & Agrawal, R. (eds.). Piscataway, NJ: IEEE Computer Society, p. 5311-5320 10 p. 10386534

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Structure-aware E(3)-invariant molecular conformer aggregation networks

    Nguyen, D. M. H., Lukashina, N., Nguyen, T., Le, A. T., Nguyen, T., Ho, N., Peters, J., Sonntag, D., Zaverkin, V. & Niepert, M., 29 Jul 2024, Proceedings of the 41st International Conference on Machine Learning. Salakhutdinov, R., Kolter, Z., Heller, K., Weller, A., Oliver, N., Scarlett, J. & Berkenkamp, F. (eds.). PMLR, p. 37736-37760 25 p. (Proceedings of Machine Learning Research; vol. 235).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    File
  • 1 Participation in or organising a public festival/exhibition/event
  • 1 Participation in or organising a workshop, seminar, course
  • 1 Peer review of manuscripts
  • 1 Presentation