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Yuxiang Lu

Yuxiang Lu has 2 papers in our library, in 2021–2026, most of them on Language models & pretraining; often with Chao Pang, Jiaxiang Liu, Junyuan Shang.

2 papers in our library · 2021–2026

OpenAlex · ORCID · Wikidata · h-index 12 · 68 works · 705 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 173 times in our library · ⭐ Paper Stars ranking: #4742

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

🎓Chengdu University of Information TechnologyChengdu · China2024–2026 · 2 paperscurrent🎓Chengdu University of TechnologyChengdu · China2026 · 1 papercurrent🎓Sichuan UniversityChengdu · China2026 · 1 papercurrent🎓Shanghai Jiao Tong UniversityShanghai · China2022–2025 · 19 papers🎓Zhejiang UniversityHangzhou · China2018–2022 · 10 papers🔬State Key Laboratory of Industrial Control TechnologyHangzhou · China2019–2022 · 7 papers🎓Soochow UniversitySuzhou · China2022–2025 · 5 papers🏢BaiduBeijing · China2020–2023 · 5 papers🎓University of Hong KongPok Fu Lam · China2025 · 3 papers🎓Guangxi Normal UniversityGuilin · China2024 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 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 · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20261 paper20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation (2021 · 332 citations)
    Most very large language models, such as GPT-3, learn only from raw text and are trained auto-regressively.
  2. Libra-VLA: Achieving Learning Equilibrium via Asynchronous Coarse-to-Fine Dual-System (2026 · 1 citation)
    Libra-VLA addresses a weakness of most Vision-Language-Action (VLA) robot policies. These policies translate visual and linguistic features straight into continuous motor commands in one flat step, which leaves a wide gap between semantics and actuation. The authors instead treat actions as living in a Hybrid Action…

 Co-authors here

12 of 13 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 173 times (of the 149,439 papers whose bibliographies we read); 29 citing papers with a page here →.

Updated

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