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Yuhao Qing

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

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 5 · 17 works · 93 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 74 times in our library · ⭐ Paper Stars ranking: #7917

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

🎓University of Hong KongPok Fu Lam · China2021–2026 · 14 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 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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