--- title: "Hua He — author profile and papers — Elamur Research" description: "Hua He, China University of Petroleum, East China: 3 papers on Elamur Research (2015–2017), h-index 34 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/hua-he/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hua-he/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hua He # Hua He Hua He studies semantic similarity between sentences, the scoring task behind paraphrase detection and graded relatedness judgments. Their papers here, from 2015 to 2017, come at it from two sides. One is the design of neural networks that compare sentences in fine detail rather than reducing each one to a single vector. The other is the construction of annotated paraphrase resources from social media text. The most cited of these, [Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks](https://md.research.elamur.ai/free/en/papers/he-2015-multi-perspective-sentence-similarity-modeling/) (2015), proposed a Siamese convolutional network. Each branch encodes a sentence through several filter types, window widths and pooling operations. A structured layer then matches local regions of the two encodings using multiple distance measures. [Pairwise Word Interaction Modeling](https://md.research.elamur.ai/free/en/papers/he-2016-pairwise-word-interaction-modeling-deep/) (2016) shifted to word-by-word comparison. Similarities between contextual encoder states are arranged as a multi-channel grid, and a deep convolutional network reads that grid much as it would read an image. Ablations showed that comparing contexts, not raw embeddings, mattered most. The latest work turns from models to data. [A Continuously Growing Dataset of Sentential Paraphrases](https://md.research.elamur.ai/free/en/papers/lan-2017-continuously-growing-dataset-sentential-paraphrases/) (2017) gathers candidate pairs from tweets that share a link to the same news article. This avoids both a trained selector and hand-picked topics. Crowd workers then label the pairs, and the resulting corpus contains realistic non-paraphrases alongside several reference sentences for each source. Collaborators on these papers include [Jimmy Lin](https://md.research.elamur.ai/free/en/authors/jimmy-lin/), who appears more than once, as well as [Kevin Gimpel](https://md.research.elamur.ai/free/en/authors/kevin-gimpel/), [Wei Xu](https://md.research.elamur.ai/free/en/authors/wei-xu/) and [Wuwei Lan](https://md.research.elamur.ai/free/en/authors/wuwei-lan/). Hua He has 3 papers in our library, in 2015–2017; often with [Jimmy Lin](https://md.research.elamur.ai/free/en/authors/jimmy-lin/), [Kevin Gimpel](https://md.research.elamur.ai/free/en/authors/kevin-gimpel/), [Wei Xu](https://md.research.elamur.ai/free/en/authors/wei-xu/). 3 papers in our library · 2015–2017 [OpenAlex](https://openalex.org/A5100675490) · [ORCID](https://orcid.org/0000-0002-6084-1034) · [Wikidata](https://www.wikidata.org/wiki/Q47195063) · [**h-index 34**](https://openalex.org/authors/A5100675490) · [169 works](https://openalex.org/works?filter=author.id:A5100675490) · [5,811 citations](https://openalex.org/works?filter=author.id:A5100675490&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/hua-he/#papers) · [🔗 Cited 248 times in our library](https://md.research.elamur.ai/free/en/authors/hua-he/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2196](https://md.research.elamur.ai/free/en/paper-stars/page/22/#star-2196) 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=Hua+He) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hua+He) · [dblp](https://dblp.org/search?q=Hua+He) · [ACL Anthology](https://aclanthology.org/search/?q=Hua+He) ## Affiliations [🎓**China University of Petroleum, East China** Qingdao · China 2008–2026 · 65 papersEmployment since 2008*current*](https://ror.org/05gbn2817) · [🔬**State Key Laboratory of Heavy Oil** Beijing · China 2012–2026 · 57 papers*current*](https://ror.org/006rwj939) · [🏛️**Chinese Academy of Sciences** Beijing · China 2013–2022 · 8 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**University of Maryland, College Park** College Park · United States 2015–2017 · 8 papers](https://md.research.elamur.ai/free/en/universities/university-of-maryland-college-park/) · [🎓**Xi’an University of Posts and Telecommunications** Xi'an · China 2012–2025 · 6 papers](https://ror.org/04jn0td46) · [🔬**Xishuangbanna Tropical Botanical Garden** Mengla · China 2013–2022 · 6 papers](https://ror.org/02rz58g17) · [🎓**Sichuan Agricultural University** Ya'an · China 2016–2023 · 5 papers](https://ror.org/0388c3403) · [🎓**Sun Yat-sen University** Guangzhou · China 1999–2005 · 5 papers](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🎓**Xi'an University of Technology** Xi'an · China 2009–2011 · 4 papers](https://ror.org/038avdt50) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2005–2008 · 4 papersEducation 2005–2008](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 22 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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Semantic similarity · 2 works](https://md.research.elamur.ai/free/en/concepts/semantic-similarity/) ## Works by year ### 2010s [**2017** 1 paper Hua He's papers of 2017](https://md.research.elamur.ai/free/en/papers/lan-2017-continuously-growing-dataset-sentential-paraphrases/) · [**2016** 1 paper Hua He's papers of 2016](https://md.research.elamur.ai/free/en/papers/he-2016-pairwise-word-interaction-modeling-deep/) · [**2015** 1 paper Hua He's papers of 2015](https://md.research.elamur.ai/free/en/papers/he-2015-multi-perspective-sentence-similarity-modeling/) ## Papers The most cited first (OpenAlex and our library). 1. **[Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks](https://md.research.elamur.ai/free/en/papers/he-2015-multi-perspective-sentence-similarity-modeling/)** *(2015 · 450 citations)* The paper tackles sentence similarity: given two sentences, produce a score that can drive paraphrase detection or graded relatedness. 2. **[Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement](https://md.research.elamur.ai/free/en/papers/he-2016-pairwise-word-interaction-modeling-deep/)** *(2016 · 295 citations)* The paper tackles semantic textual similarity (STS), which means scoring how close two sentences are in meaning. The authors argue that the dominant neural "Siamese" approach compresses each sentence into a single fixed-length vector and loses word-level detail. Instead, they compare the two sentences word by word. 3. **[A Continuously Growing Dataset of Sentential Paraphrases](https://md.research.elamur.ai/free/en/papers/lan-2017-continuously-growing-dataset-sentential-paraphrases/)** *(2017 · 265 citations)* Paraphrase research suffers from a shortage of parallel corpora. Earlier resources such as MSRP and PIT-2015 also depended on a classifier or on manual topic selection to pick candidate pairs before annotation. Lan et al. propose a simpler candidate source: tweets that link to the same URL, mostly news articles… ## All works 4 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. **[Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks](https://md.research.elamur.ai/free/en/papers/he-2015-multi-perspective-sentence-similarity-modeling/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hua He, Kevin Gimpel, Jimmy Lin*2015 · 450 citations* 2. **[Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement](https://md.research.elamur.ai/free/en/papers/he-2016-pairwise-word-interaction-modeling-deep/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Hua He, Jimmy Lin*2016 · 295 citations* 3. **[A Continuously Growing Dataset of Sentential Paraphrases](https://md.research.elamur.ai/free/en/papers/lan-2017-continuously-growing-dataset-sentential-paraphrases/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wuwei Lan, Siyu Qiu, Hua He, et al.*2017 · 265 citations* 4. **[Gappy Pattern Matching on GPUs for On-Demand Extraction of Hierarchical Translation Grammars ↗](https://aclanthology.org/Q15-1007/) Transactions of the Association for Computational Linguistics · no summary yet**Hua He, Jimmy Lin, Adam Lopez*2015 · 7 citations* ## Co-authors here 4 co-authors with a page, the most papers together first. - [Jimmy Lin](https://md.research.elamur.ai/free/en/authors/jimmy-lin/) ×2 - [Kevin Gimpel](https://md.research.elamur.ai/free/en/authors/kevin-gimpel/) - [Wei Xu](https://md.research.elamur.ai/free/en/authors/wei-xu/) - [Wuwei Lan](https://md.research.elamur.ai/free/en/authors/wuwei-lan/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2017](https://md.research.elamur.ai/free/en/venues/emnlp/2017/), [EMNLP 2015](https://md.research.elamur.ai/free/en/venues/emnlp/2015/) - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2016](https://md.research.elamur.ai/free/en/venues/naacl/2016/) - Transactions of the Association for Computational Linguistics ## Cited by Papers of our library cite their works 248 times (of the 141,840 papers whose bibliographies we read); [24 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hua-he/cited-by/). Updated 24 October 2026