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Fuzhao Xue

Fuzhao Xue has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining; often with Yang You, Wangchunshu Zhou, Yao Fu.

2 papers in our library · 2023–2024

OpenAlex · h-index 11 · 32 works · 740 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 175 citations in our library · 1 more in our library without a page yet · ⭐ Paper Star rank #4707

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

🎓National University of SingaporeSingapore · Singapore2021–2024 · 11 papers🎓Nanyang Technological UniversitySingapore · Singapore2021–2022 · 3 papers🎓Harbin Engineering UniversityHarbin · China2019–2020 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6 Arts and Humanities · 2 works Computer Science · 2 works Artificial Intelligence · 2 works Computer Vision and Pattern Recognition · 2 works Language and Linguistics · 2 works Hardware and Architecture · 1 work

🧭 Topics 1 Language models & pretraining · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Sequence Parallelism: Long Sequence Training from System Perspective (2023 · 128 citations)
    Self-attention memory grows quadratically with input length. Standard training setups also need each GPU to hold the entire sequence, which caps the usable context. Most prior work attacks this algorithmically with cheaper attention variants. This paper takes a systems approach instead. It introduces sequence…
  2. OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models (2024 · 61 citations)
    Before this work, few open Mixture-of-Experts (MoE) language models had been trained on trillion-scale, diverse data, and little was known about how their routers actually behave.

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. Sequence Parallelism: Long Sequence Training from System PerspectiveShenggui Li, Fuzhao Xue, Chaitanya Baranwal, et al.Annual Meeting of the Association for… · 128 citations
  2. OpenMoE: An Early Effort on Open Mixture-of-Experts Language ModelsFuzhao Xue, Zian Zheng, Yao Fu, et al.arXiv:2402.01739 · 61 citations
  3. MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures (original ↗)Jinjie Ni et al.2024 · arXiv:2406.06565 · 42 citations · no summary yet

 Co-authors here

4 co-authors 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 175 times (of the 141,840 papers whose bibliographies we read); 13 citing papers with a page here →.

Updated

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