🧑‍🔬 Yanda Meng

🏛️ Affiliations

🎓University of LiverpoolLiverpool · United Kingdom2019–2026 · 44 papersEducation 2019–2023 · PGR, Fac of Health & Life SciencesEmployment since 2022 · Research Associate, Eye & Vision Sciencescurrent🎓University of ExeterExeter · United Kingdom2024–2026 · 27 papersEmployment 2024–2025 · Lecturer, Computer Sciencecurrent🎓King Abdullah University of Science and TechnologyJeddah · Saudi Arabia2025–2026 · 21 papersEmployment since 2025 · Assistant Professor, Bioengineeringcurrent🏥Liverpool Heart and Chest HospitalLiverpool · United Kingdom2024–2026 · 4 paperscurrent🎓Liverpool John Moores UniversityLiverpool · United Kingdom2024–2026 · 4 paperscurrent🏥Liverpool University Hospitals NHS Foundation TrustLiverpool · United Kingdom2026 · 1 papercurrent🎓University of OxfordOxford · United Kingdom2021–2022Employment 2021–2022 · Research Intern, Institute of Biomedical Engineering🎓University of LeedsLeeds · United Kingdom2017–2018Education 2017–2018 · Master of Science, Department of Computer Science🎓Capital Normal UniversityBeijing · China2013–2017Education 2013–2017 · Bachelor of Engineering, Department of Information Engineering

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. The Impact of Reasoning Step Length on Large Language Models (2024 · 119 citations)
   Chain of Thought (CoT) prompting helps large language models reason, but it is unclear which part of a CoT prompt drives the gains.
2. Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers? (2025 · 36 citations)
   The paper asks where inside a large language model knowledge of different difficulty becomes linearly readable.

All works

3 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. DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetHongrun Zhang et al.2022 · 488 citations
2. The Impact of Reasoning Step Length on Large Language ModelsFindings of the Association for Computational LinguisticsMingyu Jin, Qinkai Yu, Dong Shu, et al.2024 · 119 citations
3. Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?International Conference on Computational Linguistics (COLING)Mingyu Jin, Qinkai Yu, Jingyuan Huang, et al.2025 · 36 citations

🤝 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

• Haiyan Zhao ×2
• Mengnan Du ×2
• Mingyu Jin ×2
• Qinkai Yu ×2
• Wenyue Hua ×2
• Dong Shu
• Fan Yang
• Jingyuan Huang
• Kai Mei
• Kaize Ding
• Qingcheng Zeng
• Yongfeng Zhang

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• International Conference on Computational Linguistics (COLING): COLING 2025
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2024
• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

🔗 Cited by

Papers of our library cite their works 120 times (of the 149,439 papers whose bibliographies we read); 29 citing papers with a page here →.

Updated 1 November 2026

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