🧑‍🔬 Shaonan Wang

🏛️ Affiliations

🏛️Chinese Academy of SciencesBeijing · China2018–2026 · 50 paperscurrent🔬Institute of AutomationBeijing · China2017–2026 · 48 paperscurrent🔬Hefei Institutes of Physical ScienceHefei · China2020–2026 · 8 paperscurrent🎓University of Science and Technology of ChinaHefei · China2020–2026 · 8 paperscurrent🎓Hong Kong Polytechnic UniversityHong Kong · China2025–2026 · 5 paperscurrent🎓Fujian Normal UniversityFuzhou · China2026 · 1 papercurrent🎓University of Chinese Academy of SciencesBeijing · China2017–2025 · 34 papers🎓Hebei University of Chinese MedicineShijiazhuang · China2020–2024 · 5 papers🎓University of ManchesterManchester · United Kingdom2010–2014 · 5 papers🎓Beijing University of Chinese MedicineBeijing · China2018–2020 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Decoding the Multimodal Mind: Generalizable Brain-to-Text Translation via Multimodal Alignment and Adaptive Routing (2026 · 1 citation)
   Most brain-to-text decoders map neural recordings onto a single representation type, such as image or text embeddings. This ignores the fact that perception is cross-modal: reading about a barking dog can also evoke sights and sounds. Ye et al. build a unified decoder on Qwen2.5-Omni that addresses this gap.
2. ChineseDevBench: A Chinese Developmental Benchmark for Language Development (2026)
   Data-efficient language models (e.g., BabyLM) are trained on roughly child-sized input, yet they are mostly evaluated with adult-oriented English benchmarks and seldom compared with real child behavior.

All works

3 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. NCLS: Neural Cross-Lingual Summarization ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetJunnan Zhu et al.2019 · 174 citations
2. Decoding the Multimodal Mind: Generalizable Brain-to-Text Translation via Multimodal Alignment and Adaptive RoutingFindings of the Association for Computational LinguisticsChunyu Ye, Yunhao Zhang, Jingyuan Sun, et al.2026 · 1 citation
3. ChineseDevBench: A Chinese Developmental Benchmark for Language DevelopmentWorkshop on Cognitive Modeling and Computational Linguistics (CMCL)Shaonan Wang, Yiwen Wu, Na Li, et al.2026

🤝 Co-authors here

4 co-authors with a page, the most papers together first.

• Chong Li
• Xin Sun
• Yang Zhao
• Yaran Chen

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Workshop on Cognitive Modeling and Computational Linguistics (CMCL): CMCL 2026
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

🔗 Cited by

Papers of our library cite their works 56 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated 1 November 2026

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