--- title: "Yingxia Shao — author profile and papers — Elamur Research" description: "Yingxia Shao, Beijing University of Posts and Telecommunications: 2 papers on Elamur Research (2022–2024), h-index 30 — affiliations…" canonical: "https://research.elamur.ai/free/en/authors/yingxia-shao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yingxia-shao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yingxia Shao # Yingxia Shao Yingxia Shao has 2 papers in our library, in 2022–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Shitao Xiao](https://md.research.elamur.ai/free/en/authors/shitao-xiao/), [Zheng Liu](https://md.research.elamur.ai/free/en/authors/zheng-liu/), [Defu Lian](https://md.research.elamur.ai/free/en/authors/defu-lian/). 2 papers in our library · 2022–2024 [OpenAlex](https://openalex.org/A5014615052) · [ORCID](https://orcid.org/0000-0002-8559-2628) · [Wikidata](https://www.wikidata.org/wiki/Q130806429) · [**h-index 30**](https://openalex.org/authors/A5014615052) · [167 works](https://openalex.org/works?filter=author.id:A5014615052) · [2,696 citations](https://openalex.org/works?filter=author.id:A5014615052&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yingxia-shao/#papers) · [🔗 Cited 158 times in our library](https://md.research.elamur.ai/free/en/authors/yingxia-shao/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6419](https://md.research.elamur.ai/free/en/paper-stars/page/65/#star-6419) 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=Yingxia+Shao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yingxia+Shao) · [dblp](https://dblp.org/search?q=Yingxia+Shao) · [ACL Anthology](https://aclanthology.org/search/?q=Yingxia+Shao) ## Affiliations [🎓**Beijing University of Posts and Telecommunications** Beijing · China 2019–2026 · 138 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/beijing-university-of-posts-and-telecommunications/) · [🏢**Inspur** Jinan · China 2026 · 1 paper*current*](https://ror.org/0474p4r72) · [🎓**Peking University** Beijing · China 2013–2022 · 19 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. 4 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 · 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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 2 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yingxia-shao/year/2024/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/yingxia-shao/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder](https://md.research.elamur.ai/free/en/papers/xiao-2022-retromae-pre-training-retrieval-oriented/)** *(2022 · 145 citations)* Standard language models such as BERT learn mainly through token-level objectives. These objectives do little to build strong whole-sentence embeddings, which limits the models as encoders for dense retrieval. Contrastive pre-training could help, but it depends on good data augmentation and on many negatives.… 2. **[Making Text Embedders Few-Shot Learners](https://md.research.elamur.ai/free/en/papers/li-2024-making-text-embedders-few-shot/)** *(2024 · 60 citations)* LLM-based text embedders perform well on tasks they were trained on, but they often fail to follow unfamiliar instructions or handle complex retrieval, because training covers only a narrow range of instructions. ## 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. **[RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder](https://md.research.elamur.ai/free/en/papers/xiao-2022-retromae-pre-training-retrieval-oriented/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shitao Xiao, Zheng Liu, Yingxia Shao, et al.*2022 · 145 citations* 2. **[Distributed Graph Neural Network Training: A Survey ↗](https://arxiv.org/abs/2211.00216) arXiv:2211.00216 · no summary yet**Yingxia Shao et al.*2022 · 103 citations* 3. **[Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection ↗](https://aclanthology.org/2023.acl-long.37/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Ziwei Chen et al.*2023 · 72 citations* 4. [**Making Text Embedders Few-Shot Learners arXiv:2409.15700**Chaofan Li, MingHao Qin, Shitao Xiao, et al.*2024 · 60 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-making-text-embedders-few-shot/) ## Co-authors here 6 co-authors with a page, the most papers together first. - [Shitao Xiao](https://md.research.elamur.ai/free/en/authors/shitao-xiao/) ×2 - [Zheng Liu](https://md.research.elamur.ai/free/en/authors/zheng-liu/) ×2 - [Defu Lian](https://md.research.elamur.ai/free/en/authors/defu-lian/) - [Kun Luo](https://md.research.elamur.ai/free/en/authors/kun-luo/) - [MingHao Qin](https://md.research.elamur.ai/free/en/authors/minghao-qin/) - [Zhao Cao](https://md.research.elamur.ai/free/en/authors/zhao-cao/) ## 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 2022](https://md.research.elamur.ai/free/en/venues/emnlp/2022/) - Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ## Cited by Papers of our library cite their works 158 times (of the 149,439 papers whose bibliographies we read); [25 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yingxia-shao/cited-by/). Updated 2 November 2026