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Jiaxi Hu

Jiaxi Hu has 3 papers in our library, in 2025, most of them on Language models & pretraining, Efficient models & compression; often with Disen Lan, Jusen Du, Weigao Sun.

3 papers in our library · 2025

OpenAlex · ORCID · Wikidata · h-index 13 · 41 works · 2,128 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 66 times in our library · ⭐ Paper Stars ranking: #7389

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

🎓State University of New YorkAlbany · United States2026 · 2 paperscurrent🎓University at Albany, State University of New YorkAlbany · United States2026 · 2 paperscurrent🏛️NOAA National Severe Storms LaboratoryNorman · United States2019–2025 · 18 papers🎓University of OklahomaNorman · United States2019–2025 · 15 papers🎓Texas A&M UniversityCollege Station · United States2013–2022 · 10 papersEducation 2013–2018🔬Cooperative Institute for Mesoscale Meteorological StudiesNorman · United States2018–2022 · 9 papersEmployment since 2018🏛️National Oceanic and Atmospheric AdministrationWashington · United States2020–2025 · 8 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksComputer Vision and Pattern Recognition · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 2Research subjects and languages the work is about.Efficient models & compression · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20253 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Kimi Linear: An Expressive, Efficient Attention Architecture (2025 · 51 citations)
    Softmax attention becomes a bottleneck for agentic and RL-heavy LLM workloads. Its cost grows quadratically with sequence length, and its KV cache keeps expanding during long decoding. Earlier linear-attention and hybrid designs saved compute but usually lost quality or were only tested at small scale. The Kimi Team…
  2. Liger: Linearizing Large Language Models to Gated Recurrent Structures (2025 · 9 citations)
    Transformer LLMs have attention cost that grows quadratically with sequence length, and their KV cache keeps growing during generation.
  3. MoM: Linear Sequence Modeling with Mixture-of-Memories (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

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

 Cited by

Papers of our library cite their works 66 times (of the 149,439 papers whose bibliographies we read); 13 citing papers with a page here →.

Updated

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