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Yuhao Yang

Yuhao Yang has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Reasoning; often with Chao Huang, Dawei Yin, Jiabin Tang.

2 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 11 · 25 works · 1,575 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 73 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #5781

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 · China2022–2025 · 12 paperscurrent🎓Wuhan UniversityWuhan · China2021–2025 · 2 paperscurrent🎓Tongji UniversityShanghai · China2025 · 1 papercurrent🏢VanguardValley Forge2025 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workEngineering · 1 workBuilding and Construction · 1 workControl and Systems Engineering · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 1 work

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. GraphGPT: Graph Instruction Tuning for Large Language Models (2023 · 268 citations)
    Graph neural networks usually still need labels from the target task, even when pre-trained with self-supervised objectives such as contrastive (DGI, GCA) or generative (GraphMAE, S2GAE) learning.
  2. Traffic-R1: Reinforced LLMs Bring Human-Like Reasoning to Traffic Signal Control Systems (2026 · 4 citations)
    Traffic signal control (TSC) systems based on fixed heuristics or reinforcement learning often fail when moved to new road networks.

All works

4 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. GraphGPT: Graph Instruction Tuning for Large Language ModelsInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Jiabin Tang, Yuhao Yang, Wei Wei, et al.2023 · 268 citations
  2. Knowledge Graph Self-Supervised Rationalization for Recommendation ↗ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetYuhao Yang et al.2023 · 174 citations
  3. Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet裕美子 増田 et al.2021 · 54 citations
  4. Traffic-R1: Reinforced LLMs Bring Human-Like Reasoning to Traffic Signal Control SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Xingchen Zou, Yuhao Yang, Zheng Chen, et al.2026 · 4 citations

 Co-authors here

7 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 73 times (of the 149,439 papers whose bibliographies we read); 18 citing papers with a page here →.

Updated

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