🧑‍🔬 Zhouhan Lin

🏛️ Affiliations

🎓Shanghai Jiao Tong UniversityShanghai · China2020–2026 · 59 paperscurrent🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2026 · 6 paperscurrent🎓Shanghai Innovation InstituteShanghai · China2025–2026 · 4 paperscurrent🎓Zhejiang UniversityHangzhou · China2026 · 1 papercurrent🎓Université de MontréalMontreal · Canada2015–2020 · 15 papersEducation until 2019🎓Harbin Institute of TechnologyHarbin · China2012–2014 · 10 papers🔬Mila - Quebec Artificial Intelligence InstituteMontreal · Canada2017–2025 · 6 papers🏢Microsoft Research MontréalMontreal · Canada2018–2019 · 4 papers🎓University of WaterlooWaterloo · Canada2018 · 4 papers🔬Alberta Machine Intelligence InstituteAlberta · Canada2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. A Structured Self-attentive Sentence Embedding (2017 · 1,797 citations)
   Most neural sentence encoders compress a sentence into one vector, typically the last RNN hidden state or a max/average pool over time steps.
2. PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning (2024 · 35 citations)
   Distilling reasoning skills from large language models into compact ones usually relies on chain-of-thought (CoT) data generated by a teacher LLM.

All works

5 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. A Structured Self-attentive Sentence EmbeddingarXiv:1703.03130Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, et al.2017 · 1,797 citations
2. Straight to the Tree: Constituency Parsing with Neural Syntactic Distance ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYikang Shen et al.2018 · 132 citations
3. RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetJiexing Qi et al.2022 · 128 citations
4. Architectural Complexity Measures of Recurrent Neural Networks ↗arXiv (Cornell University) · no summary yetSaizheng Zhang et al.2016 · 115 citations
5. PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xuekai Zhu, Biqing Qi, Kaiyan Zhang, et al.2024 · 35 citations

🤝 Co-authors here

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

• Bowen Zhou ×2
• Bing Xiang
• Biqing Qi
• Cicero Nogueira dos Santos
• Kaiyan Zhang
• Mo Yu
• Xinwei Long
• Xuekai Zhu
• Yoshua Bengio

Venues

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

• Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2024
• Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
• Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

🔗 Cited by

Papers of our library cite their works 423 times (of the 149,439 papers whose bibliographies we read); 56 citing papers with a page here →.

Updated 3 November 2026

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