--- title: "Yongfeng Huang · Hunan University — author profile and papers" description: "Yongfeng Huang, Hunan University: 2 papers on Elamur Research (2018–2023), h-index 58 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/yongfeng-huang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yongfeng-huang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yongfeng Huang # Yongfeng Huang Yongfeng Huang has 2 papers in our library, in 2018–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Chuhan Wu](https://md.research.elamur.ai/free/en/authors/chuhan-wu/), [Fangzhao Wu](https://md.research.elamur.ai/free/en/authors/fangzhao-wu/), [Yujiu Yang](https://md.research.elamur.ai/free/en/authors/yujiu-yang/). 2 papers in our library · 2018–2023 [OpenAlex](https://openalex.org/A5100768896) · [ORCID](https://orcid.org/0000-0003-3825-2230) · [Wikidata](https://www.wikidata.org/wiki/Q130850613) · [**h-index 58**](https://openalex.org/authors/A5100768896) · [473 works](https://openalex.org/works?filter=author.id:A5100768896) · [13,538 citations](https://openalex.org/works?filter=author.id:A5100768896&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yongfeng-huang/#papers) · [🔗 Cited 85 times in our library](https://md.research.elamur.ai/free/en/authors/yongfeng-huang/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5107](https://md.research.elamur.ai/free/en/paper-stars/page/52/#star-5107) 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=Yongfeng+Huang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yongfeng+Huang) · [dblp](https://dblp.org/search?q=Yongfeng+Huang) · [ACL Anthology](https://aclanthology.org/search/?q=Yongfeng+Huang) ## Affiliations [🎓**Tsinghua University** Beijing · China 2001–2026 · 366 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Chinese University of Hong Kong** Hong Kong · Hong Kong 2023–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) · [🎓**Hunan University** Changsha · China 2021–2026 · 6 papers*current*](https://ror.org/05htk5m33) · [🔬**Beijing National Research Center for Information Science and Technology** Beijing · China 2018–2022 · 38 papers](https://md.research.elamur.ai/free/en/labs/beijing-national-research-center-for-information-science-and-technology/) · [🎓**Donghua University** Shanghai · China 2009–2024 · 26 papers](https://ror.org/035psfh38) · [🎓**Tsinghua Shenzhen International Graduate School** Shenzhen · China 2019–2024 · 15 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-shenzhen-international-graduate-school/) · [🏢**Microsoft Research Asia** Beijing · China 2017–2021 · 5 papers](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) · [🔬**State Key Laboratory of New Ceramics and Fine Processing** Beijing 2019–2022 · 4 papers](https://ror.org/01t8xrx60) · [🎓**Huazhong University of Science and Technology** Wuhan · China 1999–2002 · 3 papers](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/) · [🎓**Central University of Finance and Economics** Beijing · China 2020 · 2 papers](https://ror.org/008e3hf02) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 more institutions on single bylines are not listed. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Applied Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) 🧭 Topics 3 Research subjects and languages the work is about.[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/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) ## Works by year ### 2020s [**2023** 1 paper Solving Math Word Problems via Cooperative Reasoning induced Language Models](https://md.research.elamur.ai/free/en/papers/zhu-2023-solving-math-word-problems-cooperative/) ### 2010s [**2018** 1 paper THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM](https://md.research.elamur.ai/free/en/papers/wu-2018-thu-ngn-semeval-2018-task/) ## Papers The most cited first (OpenAlex and our library). 1. **[Solving Math Word Problems via Cooperative Reasoning induced Language Models](https://md.research.elamur.ai/free/en/papers/zhu-2023-solving-math-word-problems-cooperative/)** *(2023 · 85 citations)* Pre-trained language models often fail on math word problems because they generate text without step-by-step supervision. 2. **[THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM](https://md.research.elamur.ai/free/en/papers/wu-2018-thu-ngn-semeval-2018-task/)** *(2018 · 10 citations)* This paper presents the THU_NGN system for SemEval-2018 Task 3, which targets irony in English tweets after explicit irony hashtags have been removed. Subtask A is a binary ironic vs. non-ironic decision. Subtask B separates three irony types (V-irony, O-irony, S-irony) from non-ironic tweets. ## All works 5 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. **[Solving Math Word Problems via Cooperative Reasoning induced Language Models](https://md.research.elamur.ai/free/en/papers/zhu-2023-solving-math-word-problems-cooperative/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinyu Zhu, Junjie Wang, Lin Zhang, et al.*2023 · 85 citations* 2. **[THU_NGN at SemEval-2018 Task 2: Residual CNN-LSTM Network with Attention for English Emoji Prediction](https://aclanthology.org/S18-1063/) Proceedings of the 12th International Workshop on Semantic Evaluation · original ↗ · no summary yet**Chuhan Wu et al.*2018 · 11 citations* 3. **[CLEVA: Chinese Language Models EVAluation Platform](https://arxiv.org/abs/2308.04813) arXiv:2308.04813 · original ↗ · no summary yet**Yanyang Li et al.*2023 · 10 citations* 4. **[THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM](https://md.research.elamur.ai/free/en/papers/wu-2018-thu-ngn-semeval-2018-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Chuhan Wu, Fangzhao Wu, Junxin Liu, et al.*2018 · 10 citations* 5. **[Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Training](https://arxiv.org/abs/2309.10929) arXiv:2309.10929 · original ↗ · no summary yet**Ruiqi Xu et al.*2023 · 4 citations* ## Co-authors here 4 co-authors with a page, the most papers together first. - [Chuhan Wu](https://md.research.elamur.ai/free/en/authors/chuhan-wu/) - [Fangzhao Wu](https://md.research.elamur.ai/free/en/authors/fangzhao-wu/) - [Yujiu Yang](https://md.research.elamur.ai/free/en/authors/yujiu-yang/) - [Yuxiang Zhang](https://md.research.elamur.ai/free/en/authors/yuxiang-zhang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/) ×2: [SemEval 2018](https://md.research.elamur.ai/free/en/venues/semeval/2018/) - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2023](https://md.research.elamur.ai/free/en/venues/acl/2023/) ## Cited by Papers of our library cite their works 85 times (of the 141,840 papers whose bibliographies we read); [14 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yongfeng-huang/cited-by/). Updated 24 October 2026