--- title: "Xinyan Xiao — author profile and papers — Elamur Research" description: "Xinyan Xiao, Baidu: 3 papers on Elamur Research (2017–2021), h-index 22 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/xinyan-xiao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xinyan-xiao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xinyan Xiao # Xinyan Xiao Xinyan Xiao has 3 papers in our library, in 2017–2021, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/); often with [Hua Wu](https://md.research.elamur.ai/free/en/authors/hua-wu/), [Can Gao](https://md.research.elamur.ai/free/en/authors/can-gao/), [Haifeng Wang](https://md.research.elamur.ai/free/en/authors/haifeng-wang/). 3 papers in our library · 2017–2021 [OpenAlex](https://openalex.org/A5112673776) · [**h-index 22**](https://openalex.org/authors/A5112673776) · [80 works](https://openalex.org/works?filter=author.id:A5112673776) · [2,331 citations](https://openalex.org/works?filter=author.id:A5112673776&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/xinyan-xiao/#papers) · [🔗 Cited 295 times in our library](https://md.research.elamur.ai/free/en/authors/xinyan-xiao/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2552](https://md.research.elamur.ai/free/en/paper-stars/page/26/#star-2552) 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=Xinyan+Xiao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xinyan+Xiao) · [dblp](https://dblp.org/search?q=Xinyan+Xiao) · [ACL Anthology](https://aclanthology.org/search/?q=Xinyan+Xiao) ## Affiliations [🏢**Baidu** Beijing · China 2016–2026 · 55 papers*current*](https://md.research.elamur.ai/free/en/companies/baidu/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2009–2013 · 7 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Computing Technology** Beijing · China 2011–2012 · 3 papers](https://md.research.elamur.ai/free/en/labs/institute-of-computing-technology/) · [🎓**Peking University** Beijing · China 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 6 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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 4 Research subjects and languages the work is about.[Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) ## Works by year ### 2020s [**2021** 1 paper Xinyan Xiao's papers of 2021](https://md.research.elamur.ai/free/en/papers/li-2021-unimo-unified-modal-understanding-generation/) · [**2020** 1 paper Xinyan Xiao's papers of 2020](https://md.research.elamur.ai/free/en/papers/tian-2020-skep-sentiment-knowledge-enhanced-pre/) ### 2010s [**2017** 1 paper Xinyan Xiao's papers of 2017](https://md.research.elamur.ai/free/en/papers/he-2017-dureader-chinese-machine-reading/) ## Papers The most cited first (OpenAlex and our library). 1. **[SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/tian-2020-skep-sentiment-knowledge-enhanced-pre/)** *(2020 · 333 citations)* Pre-trained language models such as BERT and RoBERTa learn general representations through word-level objectives. 2. **[UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning](https://md.research.elamur.ai/free/en/papers/li-2021-unimo-unified-modal-understanding-generation/)** *(2021 · 299 citations)* Existing pre-trained models usually serve only one side. Text-only and vision-only models such as BERT or ResNet cannot handle vision-language inputs. Multi-modal models such as ViLBERT and UNITER learn only from scarce image-text pairs and perform poorly when moved to pure language tasks. The authors (Baidu) propose… 3. **[DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications](https://md.research.elamur.ai/free/en/papers/he-2017-dureader-chinese-machine-reading/)** *(2017 · 165 citations)* Existing machine reading comprehension (MRC) benchmarks often rely on artificial setups such as cloze deletion, exam-style multiple choice, or questions written by crowdworkers after reading a passage. ## All works 7 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. **[SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/tian-2020-skep-sentiment-knowledge-enhanced-pre/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Tian, Can Gao, Xinyan Xiao, et al.*2020 · 333 citations* 2. **[UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning](https://md.research.elamur.ai/free/en/papers/li-2021-unimo-unified-modal-understanding-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wei Li, Can Gao, Guocheng Niu, et al.*2021 · 299 citations* 3. [**DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications arXiv:1711.05073**Wei He, Kai Liu, Jing Liu, et al.*2017 · 165 citations*](https://md.research.elamur.ai/free/en/papers/he-2017-dureader-chinese-machine-reading/) 4. **[Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer ↗](https://aclanthology.org/2020.acl-main.639/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Chulun Zhou et al.*2020 · 52 citations* 5. **[A Topic Similarity Model for Hierarchical Phrase-based Translation ↗](https://aclanthology.org/P12-1079/) Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Xinyan Xiao et al.*2012 · 52 citations* 6. **[Unsupervised Discriminative Induction of Synchronous Grammar for Machine Translation ↗](https://aclanthology.org/C12-1176/) Proceedings of COLING 2012 · no summary yet**Xinyan Xiao et al.*2012 · 10 citations* 7. **[Max-Margin Synchronous Grammar Induction for Machine Translation ↗](https://aclanthology.org/D13-1026/) Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing · no summary yet**Xinyan Xiao, Deyi Xiong*2013 · 7 citations* ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Hua Wu](https://md.research.elamur.ai/free/en/authors/hua-wu/) ×3 - [Can Gao](https://md.research.elamur.ai/free/en/authors/can-gao/) ×2 - [Haifeng Wang](https://md.research.elamur.ai/free/en/authors/haifeng-wang/) ×2 - [Hao Liu](https://md.research.elamur.ai/free/en/authors/hao-liu/) ×2 - [Hao Tian](https://md.research.elamur.ai/free/en/authors/hao-tian/) - [Jing Liu](https://md.research.elamur.ai/free/en/authors/jing-liu/) - [Kai Liu](https://md.research.elamur.ai/free/en/authors/kai-liu/) - [Qiaoqiao She](https://md.research.elamur.ai/free/en/authors/qiaoqiao-she/) - [Shiqi Zhao](https://md.research.elamur.ai/free/en/authors/shiqi-zhao/) - [Wei He](https://md.research.elamur.ai/free/en/authors/wei-he/) - [Wei Li](https://md.research.elamur.ai/free/en/authors/wei-li/) - [Yajuan Lyu](https://md.research.elamur.ai/free/en/authors/yajuan-lyu/) ## 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/) ×4: [ACL 2021](https://md.research.elamur.ai/free/en/venues/acl/2021/), [ACL 2020](https://md.research.elamur.ai/free/en/venues/acl/2020/) - Proceedings of COLING 2012 - Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing ## Cited by Papers of our library cite their works 295 times (of the 141,840 papers whose bibliographies we read); [29 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xinyan-xiao/cited-by/). Updated 24 October 2026