Research output per year
Research output per year
Fingerprint
Dive into the research topics where Tri Nguyen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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EADRAN: An Edge Marketplace for Federated Learning
Cao, T.-D., Nguyen, H.-T., Nguyen, T., Truong-Huu, T. & Truong, L., Feb 2026, In: Future Generation Computer Systems. 175, p. 1-16 16 p., 108046.Research output: Contribution to journal › Article › Scientific › peer-review
File120 Downloads (Pure) -
On Optimizing Resources for Real-Time End-to-End Machine Learning in Heterogeneous Edges
Nguyen, T. & Truong, L., Mar 2025, In: Software: Practice and Experience. 55, 3, p. 541-558 18 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile1 Citation (Scopus)100 Downloads (Pure) -
Optimizing Multiple Consumer-specific Objectives in End-to-End Ensemble Machine Learning Serving
Nguyen, T., Truong, L., Arcaini, P. & Ishikawa, F., 23 Apr 2025, Proceedings - 2024 IEEE/ACM 17th International Conference on Utility and Cloud Computing, UCC 2024. IEEE, p. 103-108 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open AccessFile107 Downloads (Pure) -
Quality-driven Inference Orchestration for Multi-modality Machine Learning Systems at the Edge
Nguyen, T., Nguyen, A.-D. & Truong, L., 12 Aug 2025, (Submitted) In: Under Submission.Research output: Contribution to journal › Article › Scientific
File17 Downloads (Pure) -
Novel contract-based runtime explainability framework for end-to-end ensemble machine learning serving
Nguyen, M. T., Truong, H. L. & Truong-Huu, T., 14 Apr 2024, Proceedings - 2024 IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI, CAIN 2024. ACM, p. 234-244 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open AccessFile2 Citations (Scopus)23 Downloads (Pure)
Projects
- 1 Finished
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Inno4scale NEOSC/Korpi-Lagg: Novel mEthOds to resolve the data analysis bottleneck in GPU-accelerated Stencil Computations [NEOSC]
Korpi-Lagg, M. (Principal investigator), Puro, T. (Project Member), Nguyen, T. (Project Member), Rantaharju, J. (Project Member), Rheinhardt, M. (Project Member) & Nguyen, A.-D. (Project Member)
01/02/2024 → 31/01/2025
Project: EU_HEFWP