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Dong Huang

Dong Huang has 2 papers in our library, in 2023–2024, most of them on Code & programming languages, Language models & pretraining; often with Heming Cui, Jie M.Zhang, Yuhao Qing.

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 13 · 78 works · 430 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 74 times in our library · ⭐ Paper Stars ranking: #7906

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

🎓Xihua UniversityChengdu · China2023–2026 · 14 paperscurrent🎓Guizhou UniversityGuiyang · China2022–2026 · 5 paperscurrent🎓Carnegie Mellon UniversityPittsburgh · United States2023–2026 · 2 paperscurrent🎓Chongqing Jiaotong UniversityChongqing · China2026 · 1 papercurrent🎓Hunan Institute of Science and TechnologyYueyang · China2026 · 1 papercurrent🏛️Chinese Academy of SciencesBeijing · China2015–2025 · 5 papers🎓University of Hong KongPok Fu Lam · China2022–2025 · 4 papers🏥First Affiliated Hospital of Jinan UniversityGuangzhou · China2025 · 3 papers🎓National University of SingaporeSingapore · Singapore2025 · 3 papers🔬Shanghai Institute of CeramicsShanghai · China2023–2025 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 25 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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Science Applications · 2 worksInformation Systems · 2 worksSoftware · 1 workArts and Humanities · 1 workArtificial Intelligence · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Code & programming languages · 2 worksLanguage models & pretraining · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation (2023 · 90 citations)
    LLM-based code generation improves when models can check and revise their own output. However, existing self-refinement and multi-agent approaches (MetaGPT, ChatDev, AgentVerse) have two weaknesses: their feedback relies on imprecise tests, and they coordinate many agents at a high token cost. AgentCoder addresses…
  2. EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning (2024 · 11 citations)
    Code-generating LLMs are usually tuned for correctness, but the programs they produce often run slower and use more memory than human-written reference solutions.

 Co-authors here

8 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 74 times (of the 149,439 papers whose bibliographies we read); 22 citing papers with a page here →.

Updated

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