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Tian Jin

Tian Jin has 2 papers in our library, in 2023–2025; often with Aniruddha Nrusimha, Rui Ye, Shuo Tang.

2 papers in our library · 2023–2025

OpenAlex · ORCID · h-index 24 · 177 works · 2,187 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 54 times in our library · ⭐ Paper Stars ranking: #9421

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

🎓Mohamed bin Zayed University of Artificial IntelligenceAbu Dhabi · United Arab Emirates2025–2026 · 6 paperscurrent🎓Iowa State UniversityAmes · United States2003–2024 · 67 papers🎓Beihang UniversityBeijing · China2004–2022 · 8 papers🎓Massachusetts Institute of TechnologyCambridge · United States2021–2025 · 6 papers🏢IBMArmonk · United States2016–2019 · 6 papers🔬IBM Research - Thomas J. Watson Research CenterYorktown Heights · United States2016–2019 · 6 papers🎓University of California, Los AngelesLos Angeles · United States2000–2013 · 6 papers🎓Xidian UniversityXi'an · China2004–2021 · 5 papers🎓National University of Defense TechnologyChangsha · China2009–2020 · 4 papers🎓Northwestern Polytechnical UniversityXi'an · China2007–2019 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 21 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 6The 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 workHardware and Architecture · 1 work

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Striped Attention: Faster Ring Attention for Causal Transformers (2023 · 41 citations)
    Ring Attention (Liu et al., 2023) makes very long contexts trainable by splitting queries, keys and values along the sequence across accelerators arranged in a ring.
  2. Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation (2025 · 19 citations)
    Post-training turns base LLMs into instruction followers, but it needs high-quality instruction data. Such data is expensive to annotate, scarce, and often limited by privacy. Existing synthetic approaches such as Self-Instruct, WizardLM and Magpie usually produce instructions that are not tied to any realistic user…

 Co-authors here

9 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 54 times (of the 149,439 papers whose bibliographies we read); 14 citing papers with a page here →.

Updated

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