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Jinhua Zhu

Jinhua Zhu has 3 papers in our library, in 2019–2026, most of them on Machine translation; often with Wengang Zhou, ByteDance Seed, Daoguang Zan.

3 papers in our library · 2019–2026

OpenAlex · ORCID · Wikidata · h-index 29 · 193 works · 3,204 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 81 times in our library · ⭐ Paper Stars ranking: #5695

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 UniversityKaifeng · China2009–2026 · 43 papersEmployment since 2009current🎓Nankai UniversityTianjin · China2018–2025 · 94 papers🎓Sun Yat-sen UniversityGuangzhou · China2018–2020 · 30 papers🎓Lanzhou UniversityLanzhou · China2004–2013 · 9 papersEducation 2004–2009🔬Institute of High Energy PhysicsBeijing · China2018–2025 · 7 papers🎓University of Chinese Academy of SciencesBeijing · China2021–2025 · 7 papers🎓University of Science and Technology of ChinaHefei · China2022–2025 · 4 papers🔬State Key Laboratory of Applied Organic ChemistryGansu2007–2013 · 4 papers🤝Heilongjiang Academy of SciencesHarbin · China2020–2024 · 3 papers🎓Nanchang UniversityNanchang · China2023–2024 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 14 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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Science Applications · 1 workInformation Systems · 1 work

🧭 Topics 1Research subjects and languages the work is about.Machine translation · 1 work

 Works by year

2020s

20261 paper20251 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Soft Contextual Data Augmentation for Neural Machine Translation (2019 · 172 citations)
    Data augmentation is routine in computer vision but uncommon in neural machine translation. Simple text perturbations such as swapping, dropping or blanking words often distort meaning. Contextual replacement with language-model samples keeps meaning better, but it covers only a small part of the possible variations…
  2. Seed-Coder: Let the Code Model Curate Data for Itself (2025 · 25 citations)
    Open code LLMs usually build their pretraining corpora with human-designed heuristics, such as per-language filtering rules or quality classifiers trained on human labels.
  3. Bias Fitting to Mitigate Length Bias of Reward Model in RLHF (2026 · 2 citations)
    Reward models used in RLHF often give higher scores to longer answers whether or not those answers are better.

 Co-authors here

12 of 15 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 81 times (of the 149,439 papers whose bibliographies we read); 12 citing papers with a page here →.

Updated

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