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Jiahui Wang

Jiahui Wang has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Efficient models & compression; often with Allan Jie, Haocheng Wang, Junlan Feng.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 11 · 77 works · 537 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 16 times in our library · ⭐ Paper Stars ranking: #11418

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

🎓Henan University of TechnologyZhengzhou · China2023–2026 · 3 paperscurrent🎓South Central Minzu UniversityWuhan · China2023–2026 · 2 paperscurrent🎓Tsinghua Shenzhen International Graduate SchoolShenzhen · China2026 · 1 papercurrent🎓Anhui UniversityHefei · China2019–2025 · 9 papers🎓Yunnan UniversityKunming · China2020–2024 · 5 papers🎓Huazhong University of Science and TechnologyWuhan · China2020–2025 · 4 papers🏥Tongji HospitalWuhan · China2020–2025 · 4 papers🎓Jiangsu Normal UniversityTongshan · China2017–2019 · 3 papers🎓Bohai UniversityJinzhou · China2016–2017 · 3 papers🎓Keio UniversityTokyo · Japan2005–2006 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 31 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).Computer Science · 2 worksArtificial Intelligence · 2 worksComputational Theory and Mathematics · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

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

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Solving Formal Math Problems by Decomposition and Iterative Reflection (2025 · 16 citations)
    Off-the-shelf large language models reason well about mathematics in natural language but struggle to write formal Lean 4 proofs.
  2. Soft Orthogonal Low-Rank Adaptation for Knowledge Sharing in Large Language Model Continual Learning (2026)
    The paper addresses continual learning (CL) for large language models. Full retraining is too costly at this scale, and most existing CL methods focus only on preventing catastrophic forgetting, without exploiting knowledge that tasks could share. The authors first observe that better-performing CL models produce…

 Co-authors here

12 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 16 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

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