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He Zhu

He Zhu has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Code & programming languages; often with Jiaheng Liu, Jian Yang, Jin Ke.

3 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 7 · 13 works · 186 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 19 times in our library · ⭐ Paper Stars ranking: #9063

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

🎓Beihang UniversityBeijing · China2025–2026 · 2 paperscurrent🎓Huazhong University of Science and TechnologyWuhan · China2020–2026 · 2 paperscurrent🏥Tongji HospitalWuhan · China2020–2026 · 2 paperscurrent🏥Tianjin Central Hospital of Gynecology ObstetricsTianjin · China2019–2021 · 3 papers🏥Affiliated Hospital of Qingdao UniversityQingdao · China2017–2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 worksInformation Systems · 2 worksSoftware · 1 work

🧭 Topics 3Research subjects and languages the work is about.Code & programming languages · 1 workMultilingual & cross-lingual NLP · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MdEval: Massively Multilingual Code Debugging (2026 · 12 citations)
    Most existing code-debugging benchmarks for LLMs, such as DebugBench and DebugEval, cover only one to three languages and are mostly Python-centred.
  2. M2RC-EVAL: Massively Multilingual Repository-level Code Completion Evaluation (2025 · 8 citations)
    Benchmarks for repository-level code completion usually cover fewer than five programming languages and report only one averaged score.
  3. InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-Tuning (2026)
    Fine-tuning LLMs on entire instruction datasets is expensive and yields diminishing returns. Existing data-selection techniques also tend to work only in the domain they were designed for: methods tuned for general instruction-following transfer poorly to reasoning, and vice versa. InstructDiff addresses this with a…

 Co-authors here

12 of 21 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 19 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated

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