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Tianzhu Ye

Tianzhu Ye has 2 papers in our library, in 2026, most of them on Efficient models & compression, Language models & pretraining; often with Furu Wei, Li Dong, Jian Chen.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 8 · 19 works · 489 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 40 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #10177

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢Microsoft ResearchCambridge · United Kingdom2026 · 1 papercurrent🔬China Geological SurveyBeijing · China2006–2017 · 5 papers🎓Tsinghua UniversityBeijing · China2023–2024 · 3 papers🏢MicrosoftRedmond · United States2024–2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Efficient models & compression · 2 worksLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. On-Policy Context Distillation for Language Models (2026 · 36 citations)
    Prompts can supply a language model with instructions or lessons learned, but that knowledge vanishes when the context is cleared.
  2. Rectified Sparse Attention for Efficient Long-Sequence Generation (2026 · 1 citation)
    Large language models that produce very long outputs, such as extended reasoning chains, are slowed down by having to read the entire KV cache at every decoding step.

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. Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention ↗arXiv:2304.04237 · no summary yetXuran Pan et al.2023 · 110 citations
  2. On-Policy Context Distillation for Language ModelsarXiv:2602.12275Tianzhu Ye, Li Dong, Xun Wu, et al.2026 · 36 citations
  3. Rectified Sparse Attention for Efficient Long-Sequence GenerationFindings of the Association for Computational LinguisticsYutao Sun, Tianzhu Ye, Li Dong, et al.2026 · 1 citation

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 40 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

Updated

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