--- title: "Yunfei Long — author profile and papers · Sentiment & emotion" description: "Yunfei Long, Queen Mary University of London: 3 papers on Elamur Research (2020–2026), h-index 19 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/yunfei-long/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yunfei-long/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yunfei Long # Yunfei Long Yunfei Long has 3 papers in our library, in 2020–2026, most of them on [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Chu-Ren Huang](https://md.research.elamur.ai/free/en/authors/chu-ren-huang/), [Emmanuele Chersoni](https://md.research.elamur.ai/free/en/authors/emmanuele-chersoni/), [Qin Lu](https://md.research.elamur.ai/free/en/authors/qin-lu/). 3 papers in our library · 2020–2026 [OpenAlex](https://openalex.org/A5001981431) · [ORCID](https://orcid.org/0000-0002-4407-578X) · [**h-index 19**](https://openalex.org/authors/A5001981431) · [82 works](https://openalex.org/works?filter=author.id:A5001981431) · [1,390 citations](https://openalex.org/works?filter=author.id:A5001981431&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yunfei-long/#papers) · [🔗 Cited 26 times in our library](https://md.research.elamur.ai/free/en/authors/yunfei-long/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8676](https://md.research.elamur.ai/free/en/paper-stars/page/87/#star-8676) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yunfei+Long) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yunfei+Long) · [dblp](https://dblp.org/search?q=Yunfei+Long) · [ACL Anthology](https://aclanthology.org/search/?q=Yunfei+Long) ## Affiliations [🎓**Queen Mary University of London** London · United Kingdom 2025–2026 · 5 papersEmployment since 2025 · Senior Lecturer, School of Electronic Engineering and Computer Science*current*](https://md.research.elamur.ai/free/en/universities/queen-mary-university-of-london/) · [🎓**Chinese Academy of Medical Sciences & Peking Union Medical College** Beijing · China 2026 · 1 paper*current*](https://ror.org/02drdmm93) · [🎓**University of Essex** Colchester · United Kingdom 2020–2025 · 43 papersEmployment 2020–2025 · Lecturer, Search Results Web results School of Computer Science and Electronic Engineering](https://md.research.elamur.ai/free/en/universities/university-of-essex/) · [🎓**Hong Kong Polytechnic University** Hong Kong · China 2015–2020 · 24 papersEducation since 2015 · Department of Computing](https://md.research.elamur.ai/free/en/universities/hong-kong-polytechnic-university/) · [🎓**University of Nottingham** Nottingham · United Kingdom 2018–2020 · 7 papersEmployment 2018–2020 · Research Fellow, Horizon Digital Economy Center](https://md.research.elamur.ai/free/en/universities/university-of-nottingham/) · [🎓**Minjiang University** Fuzhou · China 2019–2022 · 3 papers](https://md.research.elamur.ai/free/en/universities/minjiang-university/) 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. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [History and Philosophy of Science · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/history-and-philosophy-of-science/) 🧭 Topics 4 Research subjects and languages the work is about.[Sentiment & emotion · 2 works](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yunfei-long/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yunfei-long/year/2025/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/yunfei-long/year/2020/) ## Papers The most cited first (OpenAlex and our library). 1. **[Ciron: a New Benchmark Dataset for Chinese Irony Detection](https://md.research.elamur.ai/free/en/papers/xiang-2020-ciron-new-benchmark-dataset-chinese/)** *(2020 · 17 citations)* Work on irony detection has focused mostly on English, and Chinese has lacked labeled data suitable for training machine learning systems. 2. **[Irony Detection, Reasoning and Understanding in Zero-shot Learning](https://md.research.elamur.ai/free/en/papers/yi-2025-irony-detection-reasoning-understanding-zero/)** *(2025 · 5 citations)* Irony on social media often says the opposite of what it means, and this can mislead downstream systems such as sentiment analysis, misinformation checking and recommendation. 3. **[NovBench: Evaluating Large Language Models on Academic Paper Novelty Assessment](https://md.research.elamur.ai/free/en/papers/wu-2026-novbench-evaluating-large-language-models/)** *(2026 · 4 citations)* Novelty is a central criterion in peer review, and rising submission volumes are straining reviewers. LLMs can already draft review comments, but no benchmark existed to test whether they can judge novelty specifically. Most prior evaluation either scored whole reviews or relied on lexical metrics such as ROUGE/BLEU… ## All works 5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[A Cognition Based Attention Model for Sentiment Analysis ↗](https://aclanthology.org/D17-1048/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yunfei Long et al.*2017 · 91 citations* 2. **[Ciron: a New Benchmark Dataset for Chinese Irony Detection](https://md.research.elamur.ai/free/en/papers/xiang-2020-ciron-new-benchmark-dataset-chinese/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Rong Xiang, Xuefeng Gao, Yunfei Long, et al.*2020 · 17 citations* 3. **[An Element-aware Multi-representation Model for Law Article Prediction ↗](https://aclanthology.org/2020.emnlp-main.540/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Huilin Zhong et al.*2020 · 10 citations* 4. [**Irony Detection, Reasoning and Understanding in Zero-shot Learning arXiv:2501.16884**Peiling Yi, Yuhan Xia, Yunfei Long*2025 · 5 citations*](https://md.research.elamur.ai/free/en/papers/yi-2025-irony-detection-reasoning-understanding-zero/) 5. **[NovBench: Evaluating Large Language Models on Academic Paper Novelty Assessment](https://md.research.elamur.ai/free/en/papers/wu-2026-novbench-evaluating-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenqing Wu, Yi Zhao, Yuzhuo Wang, et al.*2026 · 4 citations* ## Co-authors here 3 co-authors with a page, the most papers together first. - [Chu-Ren Huang](https://md.research.elamur.ai/free/en/authors/chu-ren-huang/) - [Emmanuele Chersoni](https://md.research.elamur.ai/free/en/authors/emmanuele-chersoni/) - [Qin Lu](https://md.research.elamur.ai/free/en/authors/qin-lu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing ×2 - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) - [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2020](https://md.research.elamur.ai/free/en/venues/lrec/2020/) ## Cited by Papers of our library cite their works 26 times (of the 149,439 papers whose bibliographies we read); [5 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yunfei-long/cited-by/). Updated 31 October 2026