---
title: "Jusen Du — author profile and papers — Elamur Research"
description: "Jusen Du, Upper Great Plains Transportation Institute: 2 papers on Elamur Research (2025), h-index 13 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/jusen-du/"
---
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# Jusen Du

Jusen Du has 2 papers in our library, in 2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Disen Lan](https://md.research.elamur.ai/free/en/authors/disen-lan/), [Jiaxi Hu](https://md.research.elamur.ai/free/en/authors/jiaxi-hu/), [Weigao Sun](https://md.research.elamur.ai/free/en/authors/weigao-sun/).

2 papers in our library · 2025

[OpenAlex](https://openalex.org/A5010481586) · [ORCID](https://orcid.org/0000-0003-4960-3155) · [**h-index 13**](https://openalex.org/authors/A5010481586) · [49 works](https://openalex.org/works?filter=author.id:A5010481586) · [726 citations](https://openalex.org/works?filter=author.id:A5010481586&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jusen-du/#papers) · [🔗 Cited 16 times in our library](https://md.research.elamur.ai/free/en/authors/jusen-du/cited-by/) · [⭐ Paper Stars ranking: #9371](https://md.research.elamur.ai/free/en/paper-stars/page/94/#star-9371)

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=Jusen+Du) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jusen+Du) · [dblp](https://dblp.org/search?q=Jusen+Du) · [ACL Anthology](https://aclanthology.org/search/?q=Jusen+Du)

## Affiliations

[🎓**North Dakota State University** Fargo · United States 2022–2026 · 4 papers*current*](https://ror.org/05h1bnb22) · [🔬**Upper Great Plains Transportation Institute** Fargo · United States 2022–2026 · 4 papers*current*](https://ror.org/00337jt79) · [🎓**Texas Southern University** Houston · United States 2018–2024 · 18 papers](https://ror.org/05ch0aw77) · [🏢**State Grid Corporation of China** Beijing · China 2021–2025 · 7 papers](https://md.research.elamur.ai/free/en/companies/state-grid-corporation-of-china/) · [🏛️**Texas A&M Transportation Institute** Bryan · United States 2022–2025 · 7 papers](https://ror.org/04ryn6t67) · [🎓**Texas A&M University** College Station · United States 2022–2025 · 6 papers](https://md.research.elamur.ai/free/en/universities/texas-a-m-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/jusen-du/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Liger: Linearizing Large Language Models to Gated Recurrent Structures](https://md.research.elamur.ai/free/en/papers/lan-2025-liger-linearizing-large-language-models/)** *(2025 · 9 citations)* Transformer LLMs have attention cost that grows quadratically with sequence length, and their KV cache keeps growing during generation.
2. **[MoM: Linear Sequence Modeling with Mixture-of-Memories](https://md.research.elamur.ai/free/en/papers/du-2025-mom-linear-sequence-modeling-mixture/)** *(2025 · 7 citations)* Linear sequence models such as linear attention, state space models and linear RNNs train in linear time and run inference with constant cost.

## Co-authors here

4 co-authors with a page, the most papers together first.

- [Disen Lan](https://md.research.elamur.ai/free/en/authors/disen-lan/) ×2
- [Jiaxi Hu](https://md.research.elamur.ai/free/en/authors/jiaxi-hu/) ×2
- [Weigao Sun](https://md.research.elamur.ai/free/en/authors/weigao-sun/) ×2
- [Yu Cheng](https://md.research.elamur.ai/free/en/authors/yu-cheng/) ×2

## Cited by

Papers of our library cite their works 16 times (of the 149,439 papers whose bibliographies we read); [7 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jusen-du/cited-by/).

Updated 1 November 2026
