🧑‍🔬 Yi Fan

🏛️ Affiliations

🏛️Chinese Academy of Agricultural SciencesBeijing · China2025–2026 · 5 paperscurrent🔬China Academy of Electronics and Information TechnologyBeijing · China2026 · 1 papercurrent🔬Farmland Irrigation Research InstituteXinxiang · China2026 · 1 papercurrent🎓Tarim UniversityAral · China2026 · 1 papercurrent🎓Harbin University of Science and TechnologyHarbin · China2010–2014 · 13 papers🎓Northwestern Polytechnical UniversityXi'an · China2021–2025 · 11 papers🏛️Gansu Academy of Agricultural SciencesLanzhou · China2016–2022 · 5 papers🔬Institute of Environment and Sustainable Development in AgricultureBeijing · China2025 · 4 papers🎓Henan Agricultural UniversityZhengzhou · China2024–2025 · 3 papers🎓Changchun University of TechnologyChangchun · China2014–2017 · 3 papers

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. Understanding the Cooking Process with English Recipe Text (2023 · 2 citations)
   Recipes are procedural texts that can be turned into flow graphs. In these graphs, nodes are foods, tools, actions, durations and similar entities, and labelled arcs show how cooking steps connect. Earlier systems for English recipes reached weak end-to-end scores (F1 43.3 for Yamakata et al. 2020 and 72.3 for…
2. Team HITS at SemEval-2026 Task 4:Enhancing narrative text embedding model training with hard negatives generation and self-distillation (2026)
   This paper describes HITS's system for Track B of SemEval-2026 Task 4. The track asks for story embeddings whose similarity reflects narrative properties: theme, course of action and outcome, rather than surface wording. The authors identify two problems with standard contrastive fine-tuning. Random negatives are too…

🤝 Co-authors here

2 co-authors with a page, the most papers together first.

• Michael Strube
• Wei Liu

Venues

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

• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2023
• International Workshop on Semantic Evaluation (SemEval): SemEval 2026

🔗 Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read).

Updated 2 November 2026

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