--- title: "Nam H Nguyen — author profile and papers — Elamur Research" description: "Nam H Nguyen: 2 papers on Elamur Research (2022–2026), h-index 17 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/nam-h-nguyen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/nam-h-nguyen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Nam H Nguyen # Nam H Nguyen Nam H Nguyen has 2 papers in our library, in 2022–2026, most of them on [Tokenization & segmentation](https://md.research.elamur.ai/free/en/topics/tokenization/); often with [Shi-Xiong Zhang](https://md.research.elamur.ai/free/en/authors/shi-xiong-zhang/). 2 papers in our library · 2022–2026 [OpenAlex](https://openalex.org/A5103324660) · [ORCID](https://orcid.org/0000-0002-1254-0069) · [**h-index 17**](https://openalex.org/authors/A5103324660) · [50 works](https://openalex.org/works?filter=author.id:A5103324660) · [2,075 citations](https://openalex.org/works?filter=author.id:A5103324660&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/nam-h-nguyen/#papers) · [🔗 Cited 87 times in our library](https://md.research.elamur.ai/free/en/authors/nam-h-nguyen/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3715](https://md.research.elamur.ai/free/en/paper-stars/page/38/#star-3715) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Nam+H+Nguyen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Nam+H+Nguyen) · [dblp](https://dblp.org/search?q=Nam+H+Nguyen) · [ACL Anthology](https://aclanthology.org/search/?q=Nam+H+Nguyen) ## Affiliations [🎓**Johns Hopkins University** Baltimore · United States 2008–2012 · 15 papers](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) · [🏢**Capital One** Tysons Corner · United States 2024–2026 · 12 papers](https://md.research.elamur.ai/free/en/companies/capital-one/) · [🏢**IBM** Armonk · United States 2017–2025 · 11 papers](https://md.research.elamur.ai/free/en/companies/ibm/) · [🔬**IBM Research - Thomas J. Watson Research Center** Yorktown Heights · United States 2017–2025 · 8 papers](https://md.research.elamur.ai/free/en/labs/ibm-research-thomas-j-watson-research-center/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 2010–2016 · 8 papers](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) 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 9 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Signal Processing · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) · [Building and Construction · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/building-and-construction/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Tokenization & segmentation · 1 work](https://md.research.elamur.ai/free/en/topics/tokenization/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/nam-h-nguyen/year/2026/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/nam-h-nguyen/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[A Time Series is Worth 64 Words: Long-term Forecasting with Transformers](https://md.research.elamur.ai/free/en/papers/nie-2022-time-series-worth-64-words/)** *(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](https://md.research.elamur.ai/free/en/papers/liu-2026-temporal-tokenization-strategies-event-sequence/)** *(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 Transformers arXiv:2211.14730**Yuqi Nie, Nam H. Nguyen, Phanwadee Sinthong, et al.*2022 · 627 citations*](https://md.research.elamur.ai/free/en/papers/nie-2022-time-series-worth-64-words/) 2. **[TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting ↗](https://doi.org/10.1145/3580305.3599533) ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Vijay Ekambaram et al.*2023 · 285 citations* 3. **[Temporal Tokenization Strategies for Event Sequence Modeling with Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2026-temporal-tokenization-strategies-event-sequence/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/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. - [Shi-Xiong Zhang](https://md.research.elamur.ai/free/en/authors/shi-xiong-zhang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/): [GEM 2026](https://md.research.elamur.ai/free/en/venues/gem/2026/) - ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) ## 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 →](https://md.research.elamur.ai/free/en/authors/nam-h-nguyen/cited-by/). Updated 2 November 2026