🧑‍🔬 Xinyan Xiao

🏛️ Affiliations

🏢BaiduBeijing · China2016–2026 · 55 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2009–2013 · 7 papers🔬Institute of Computing TechnologyBeijing · China2011–2012 · 3 papers🎓Peking UniversityBeijing · China2022–2023 · 2 papers

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.

🧭 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis (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 (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 (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 AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Tian, Can Gao, Xinyan Xiao, et al.2020 · 333 citations
2. UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Li, Can Gao, Guocheng Niu, et al.2021 · 299 citations
3. DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world ApplicationsarXiv:1711.05073Wei He, Kai Liu, Jing Liu, et al.2017 · 165 citations
4. Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetChulun Zhou et al.2020 · 52 citations
5. A Topic Similarity Model for Hierarchical Phrase-based Translation ↗Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetXinyan Xiao et al.2012 · 52 citations
6. Unsupervised Discriminative Induction of Synchronous Grammar for Machine Translation ↗Proceedings of COLING 2012 · no summary yetXinyan Xiao et al.2012 · 10 citations
7. Max-Margin Synchronous Grammar Induction for Machine Translation ↗Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing · no summary yetXinyan Xiao, Deyi Xiong2013 · 7 citations

🤝 Co-authors here

12 of 14 co-authors with a page, the most papers together first.

• Hua Wu ×3
• Can Gao ×2
• Haifeng Wang ×2
• Hao Liu ×2
• Hao Tian
• Jing Liu
• Kai Liu
• Qiaoqiao She
• Shiqi Zhao
• Wei He
• Wei Li
• 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) ×4: ACL 2021, 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 →.

Updated 24 October 2026

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