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Nam H Nguyen

Nam H Nguyen has 2 papers in our library, in 2022–2026, most of them on Tokenization & segmentation; often with Shi-Xiong Zhang.

2 papers in our library · 2022–2026

OpenAlex · ORCID · h-index 17 · 50 works · 2,075 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 87 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #3715

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Johns Hopkins UniversityBaltimore · United States2008–2012 · 15 papers🏢Capital OneTysons Corner · United States2024–2026 · 12 papers🏢IBMArmonk · United States2017–2025 · 11 papers🔬IBM Research - Thomas J. Watson Research CenterYorktown Heights · United States2017–2025 · 8 papers🎓Massachusetts Institute of TechnologyCambridge · United States2010–2016 · 8 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksSignal Processing · 2 worksBuilding and Construction · 1 workDecision Sciences · 1 workEngineering · 1 workManagement Science and Operations Research · 1 workArts and Humanities · 1 workArtificial Intelligence · 1 workLanguage and Linguistics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Tokenization & segmentation · 1 work

 Works by year

2020s

20261 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A Time Series is Worth 64 Words: Long-term Forecasting with Transformers (2022 · 627 citations)
    Zeng et al. (2022) had shown that a plain linear model (DLinear) could beat Transformer forecasters such as Informer, Autoformer and FEDformer, which raised doubts about attention for time series. The authors respond with PatchTST. It keeps the vanilla Transformer encoder but changes how the input is tokenized. Each…
  2. Temporal Tokenization Strategies for Event Sequence Modeling with Large Language Models (2026 · 1 citation)
    LLMs process discrete tokens, but events in real sequences happen in continuous time. How to turn timestamps or inter-event gaps into tokens ("temporal tokenization") has received little systematic study. This paper compares five families of encodings: plain numeric strings, float32 byte tokens (as in Language-TPP)…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. A Time Series is Worth 64 Words: Long-term Forecasting with TransformersarXiv:2211.14730Yuqi Nie, Nam H. Nguyen, Phanwadee Sinthong, et al.2022 · 627 citations
  2. TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting ↗ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetVijay Ekambaram et al.2023 · 285 citations
  3. Temporal Tokenization Strategies for Event Sequence Modeling with Large Language ModelsWorkshop on Generation, Evaluation and Metrics (GEM)Zefang Liu, Nam H Nguyen, Yinzhu Quan, et al.2026 · 1 citation

 Co-authors here

1 co-author with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 87 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/nam-h-nguyen/