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Chuan Shi

Chuan Shi has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining; often with Chen Qian, Cheng Hong Yang, Jackson Petty.

2 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 56 · 373 works · 16,189 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 114 times in our library · 9 more in our library without a page yet · ⭐ Paper Stars ranking: #10022

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

🎓Beijing University of Posts and TelecommunicationsBeijing · China2007–2026 · 307 paperscurrent🏥Peking University Sixth HospitalBeijing · China2022–2026 · 6 paperscurrent🎓Peking UniversityBeijing · China2023–2026 · 3 paperscurrent🔬Peng Cheng LaboratoryShenzhen · China2020–2024 · 12 papers🏛️Chinese Academy of SciencesBeijing · China2006–2007 · 6 papers🎓Tsinghua UniversityBeijing · China2009–2025 · 5 papers🎓Beihang UniversityBeijing · China2023 · 4 papers🔬Beijing Advanced Innovation Center for Imaging TechnologyBeijing · China2017–2018 · 3 papers🎓Capital Normal UniversityBeijing · China2017–2018 · 3 papers🔬Institute of Computing TechnologyBeijing · China2006 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 15 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

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

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases (2025 · 9 citations)
    Transformer language models need far more data than humans. This paper asks which properties of a formal language make it a useful warm-up before natural-language training, a setup the authors call pre-pretraining. They propose two criteria, drawing on the Chomsky hierarchy and on circuit complexity. First, the…
  2. MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing (2026)
    Building LLM-based multi-agent systems (MAS) as directed graphs in tools like LangGraph or Dify still takes a lot of manual work.

All works

11 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Beyond Low-frequency Information in Graph Convolutional Networks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetDeyu Bo et al.2021 · 557 citations
  2. Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetHu Linmei et al.2019 · 359 citations
  3. Heterogeneous Graph Structure Learning for Graph Neural Networks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetJianan Zhao et al.2021 · 289 citations
  4. Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetLinmei Hu et al.2021 · 225 citations
  5. Graph Neural News Recommendation with Unsupervised Preference Disentanglement ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetLinmei Hu et al.2020 · 146 citations
  6. Learning to Pre-train Graph Neural Networks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetYuanfu Lu et al.2021 · 119 citations
  7. Hyperbolic Heterogeneous Information Network Embedding ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetXiao Wang, Yiding Zhang, Chuan Shi2019 · 117 citations
  8. Robust Heterogeneous Graph Neural Networks against Adversarial Attacks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetMengmei Zhang et al.2022 · 65 citations
  9. Improving Distantly-Supervised Relation Extraction with Joint Label Embedding ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetLinmei Hu et al.2019 · 63 citations
  10. Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic BiasesAnnual Meeting of the Association for Computational Linguistics (ACL)Michael Y. Hu, Jackson Petty, Chuan Shi, et al.2025 · 9 citations
  11. MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe GraphingAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Liu, Jinxuan Cai, Yishen Li, et al.2026

 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 114 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

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