--- title: "Yihe Deng — author profile and papers — Elamur Research" description: "Yihe Deng, University of California, Los Angeles: 2 papers on Elamur Research (2019–2023), h-index 5 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/yihe-deng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yihe-deng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yihe Deng # Yihe Deng Yihe Deng has 2 papers in our library, in 2019–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Kun He](https://md.research.elamur.ai/free/en/authors/kun-he/), [Shuhuai Ren](https://md.research.elamur.ai/free/en/authors/shuhuai-ren/), [Wanxiang Che](https://md.research.elamur.ai/free/en/authors/wanxiang-che/). 2 papers in our library · 2019–2023 [OpenAlex](https://openalex.org/A5087546325) · [ORCID](https://orcid.org/0000-0002-2841-8674) · [**h-index 5**](https://openalex.org/authors/A5087546325) · [14 works](https://openalex.org/works?filter=author.id:A5087546325) · [785 citations](https://openalex.org/works?filter=author.id:A5087546325&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yihe-deng/#papers) · [🔗 Cited 328 times in our library](https://md.research.elamur.ai/free/en/authors/yihe-deng/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2822](https://md.research.elamur.ai/free/en/paper-stars/page/29/#star-2822) 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=Yihe+Deng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yihe+Deng) · [dblp](https://dblp.org/search?q=Yihe+Deng) · [ACL Anthology](https://aclanthology.org/search/?q=Yihe+Deng) ## Affiliations [🎓**University of California, Los Angeles** Los Angeles · United States 2019–2025 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-los-angeles/) · [🎓**Wuhan Institute of Technology** Wuhan · China 2021–2023 · 2 papers](https://ror.org/04jcykh16) 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 · 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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yihe-deng/year/2023/) ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/yihe-deng/year/2019/) ## Papers The most cited first (OpenAlex and our library). 1. **[Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency](https://md.research.elamur.ai/free/en/papers/ren-2019-generating-natural-language-adversarial-examples/)** *(2019 · 884 citations)* The paper tackles adversarial attacks on neural text classifiers. Such attacks are harder to build than image attacks because words are discrete, and edits must stay lexically, grammatically and semantically sound. The authors propose PWWS (Probability Weighted Word Saliency), a greedy black-box attack built on… 2. **[Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves](https://md.research.elamur.ai/free/en/papers/deng-2023-rephrase-respond-let-large-language/)** *(2023 · 62 citations)* LLMs sometimes misread questions that look perfectly clear to people. The authors attribute this to a mismatch between how humans and models frame a query. For example, GPT-4 may interpret "even month" to mean any month whose number of days is even. To address this, they propose Rephrase and Respond (RaR), a… ## 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. **[Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency](https://md.research.elamur.ai/free/en/papers/ren-2019-generating-natural-language-adversarial-examples/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shuhuai Ren, Yihe Deng, Kun He, et al.*2019 · 884 citations* 2. [**Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves arXiv:2311.04205**Yihe Deng, Weitong Zhang, Zixiang Chen, et al.*2023 · 62 citations*](https://md.research.elamur.ai/free/en/papers/deng-2023-rephrase-respond-let-large-language/) 3. **[Towards Understanding the Mixture-Of-Experts Layer in Deep Learning ↗](https://doi.org/10.52202/068431-1675) neural information processing systems · no summary yet**Zixiang Chen et al.*2022 · 49 citations* 4. **[Towards Understanding Mixture of Experts in Deep Learning ↗](https://arxiv.org/abs/2208.02813) arXiv (Cornell University) · no summary yet**Zixiang Chen et al.*2022 · 37 citations* 5. **[Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP ↗](https://arxiv.org/abs/2310.00927) arXiv (Cornell University) · no summary yet**Zixiang Chen et al.*2023* ## Co-authors here 3 co-authors with a page, the most papers together first. - [Kun He](https://md.research.elamur.ai/free/en/authors/kun-he/) - [Shuhuai Ren](https://md.research.elamur.ai/free/en/authors/shuhuai-ren/) - [Wanxiang Che](https://md.research.elamur.ai/free/en/authors/wanxiang-che/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2019](https://md.research.elamur.ai/free/en/venues/acl/2019/) - neural information processing systems ## Cited by Papers of our library cite their works 328 times (of the 149,439 papers whose bibliographies we read); [39 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yihe-deng/cited-by/). Updated 2 November 2026