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Siming Huang

Siming Huang has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining; often with Chenchen Zhang, Jason Klein Liu, Jiaheng Liu.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 42 · 121 works · 5,726 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 70 times in our library · ⭐ Paper Stars ranking: #5181

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

🎓Guangzhou Medical UniversityGuangzhou · China2021–2026 · 68 paperscurrent🎓Sun Yat-sen UniversityGuangzhou · China2012–2026 · 51 paperscurrent🔬State Key Laboratory of Respiratory DiseaseGuangzhou · China2022–2026 · 49 paperscurrent🎓Fudan UniversityShanghai · China2026 · 1 papercurrent🏥Sun Yat-sen Memorial HospitalGuangzhou · China2018–2022 · 27 papers🏢China Aerospace Science and Industry CorporationBeijing · China2024–2025 · 3 papers🎓Guangzhou UniversityGuangzhou · China2018 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksInformation Systems · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Scaling laws · 1 work

 Works by year

2020s

20261 paperScaling Laws for Code: A More Data-Hungry Regime20251 paperOpenCoder: The Open Cookbook for Top-Tier Code Large Language Models

 Papers

The most cited first (OpenAlex and our library).

  1. OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models (2025 · 81 citations)
    Most open code LLMs publish only their weights. Their training data, cleaning pipelines and training recipes stay hidden, which makes it hard for researchers to reproduce results or build strong baselines. OpenCoder addresses this gap. It is a code LLM family released with everything needed to rebuild it: weights…
  2. Scaling Laws for Code: A More Data-Hungry Regime (2026 · 3 citations)
    Scaling laws, which predict validation loss from model size (N), training tokens (D) and compute (C), have mostly been derived on natural language (NL).

 Co-authors here

8 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 70 times (of the 141,840 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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