--- title: "Xingcheng Yao — author profile and papers — Elamur Research" description: "Xingcheng Yao, University of California, Los Angeles: 2 papers on Elamur Research (2021–2025), h-index 5 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/xingcheng-yao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xingcheng-yao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xingcheng Yao # Xingcheng Yao Xingcheng Yao has 2 papers in our library, in 2021–2025, most of them on [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Danqi Chen](https://md.research.elamur.ai/free/en/authors/danqi-chen/), [Enzhe Lu](https://md.research.elamur.ai/free/en/authors/enzhe-lu/), [Jiaxi Hu](https://md.research.elamur.ai/free/en/authors/jiaxi-hu/). 2 papers in our library · 2021–2025 [OpenAlex](https://openalex.org/A5065739587) · [ORCID](https://orcid.org/0000-0001-5065-3016) · [Wikidata](https://www.wikidata.org/wiki/Q130932692) · [**h-index 5**](https://openalex.org/authors/A5065739587) · [13 works](https://openalex.org/works?filter=author.id:A5065739587) · [2,749 citations](https://openalex.org/works?filter=author.id:A5065739587&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xingcheng-yao/#papers) · [🔗 Cited 1,809 times in our library](https://md.research.elamur.ai/free/en/authors/xingcheng-yao/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #863](https://md.research.elamur.ai/free/en/paper-stars/page/9/#star-863) 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=Xingcheng+Yao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xingcheng+Yao) · [dblp](https://dblp.org/search?q=Xingcheng+Yao) · [ACL Anthology](https://aclanthology.org/search/?q=Xingcheng+Yao) ## Affiliations [🎓**University of California, Los Angeles** Los Angeles · United States 2025 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-los-angeles/) · [🎓**Tsinghua University** Beijing · China 2021–2023 · 4 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) 💡 Concepts 2 Key ideas and methods explained on our concept pages.[Natural language processing · 1 work](https://md.research.elamur.ai/free/en/concepts/natural-language-processing/) · [Semantic similarity · 1 work](https://md.research.elamur.ai/free/en/concepts/semantic-similarity/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/xingcheng-yao/year/2025/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/xingcheng-yao/year/2021/) ## Papers The most cited first (OpenAlex and our library). 1. **[SimCSE: Simple Contrastive Learning of Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/gao-2021-simcse-simple-contrastive-learning-sentence/)** *(2021 · 3,942 citations)* Pre-trained encoders such as BERT and RoBERTa produce poor general-purpose sentence vectors without further training. Their raw embedding space is anisotropic, and text is hard to augment because words are discrete. The authors introduce SimCSE, a contrastive framework with two variants. 2. **[Kimi Linear: An Expressive, Efficient Attention Architecture](https://md.research.elamur.ai/free/en/papers/kimi-team-2025-kimi-linear-expressive-efficient/)** *(2025 · 51 citations)* Softmax attention becomes a bottleneck for agentic and RL-heavy LLM workloads. Its cost grows quadratically with sequence length, and its KV cache keeps expanding during long decoding. Earlier linear-attention and hybrid designs saved compute but usually lost quality or were only tested at small scale. The Kimi Team… ## All works 4 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. **[SimCSE: Simple Contrastive Learning of Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/gao-2021-simcse-simple-contrastive-learning-sentence/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tianyu Gao, Xingcheng Yao, Danqi Chen*2021 · 3,942 citations* 2. **[Muon is Scalable for LLM Training ↗](https://arxiv.org/abs/2502.16982) arXiv:2502.16982 · no summary yet**Jingyuan Liu et al.*2025 · 83 citations* 3. [**Kimi Linear: An Expressive, Efficient Attention Architecture arXiv:2510.26692**Kimi Team, Yu Zhang, Zongyu Lin, et al.*2025 · 51 citations*](https://md.research.elamur.ai/free/en/papers/kimi-team-2025-kimi-linear-expressive-efficient/) 4. **[NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework ↗](https://arxiv.org/abs/2111.04130) arXiv (Cornell University) · no summary yet**Xingcheng Yao et al.*2021 · 34 citations* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Danqi Chen](https://md.research.elamur.ai/free/en/authors/danqi-chen/) - [Enzhe Lu](https://md.research.elamur.ai/free/en/authors/enzhe-lu/) - [Jiaxi Hu](https://md.research.elamur.ai/free/en/authors/jiaxi-hu/) - [Kimi Team](https://md.research.elamur.ai/free/en/authors/kimi-team/) - [Tianyu Gao](https://md.research.elamur.ai/free/en/authors/tianyu-gao/) - [Xin Men](https://md.research.elamur.ai/free/en/authors/xin-men/) - [Yu Zhang](https://md.research.elamur.ai/free/en/authors/yu-zhang/) - [Zhiyuan Li](https://md.research.elamur.ai/free/en/authors/zhiyuan-li/) ## 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/): [EMNLP 2021](https://md.research.elamur.ai/free/en/venues/emnlp/2021/) ## Cited by Papers of our library cite their works 1,809 times (of the 149,439 papers whose bibliographies we read); [325 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xingcheng-yao/cited-by/). Updated 2 November 2026