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Zhenhua Han

Zhenhua Han has 2 papers in our library, in 2024, most of them on Language models & pretraining, Information retrieval & search; often with Chengruidong Zhang, Huiqiang Jiang, Chen Chen.

2 papers in our library · 2024

OpenAlex · ORCID · Wikidata · h-index 18 · 65 works · 1,283 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 230 times in our library · ⭐ Paper Stars ranking: #5809

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

🎓Xinjiang Normal UniversityÜrümqi · China2011–2026 · 6 paperscurrent🎓Hubei University of TechnologyWuhan · China2026 · 2 paperscurrent🏢Microsoft Research AsiaBeijing · China2020–2025 · 11 papers🎓University of Hong KongPok Fu Lam · China2016–2022 · 10 papers🎓University of Science and Technology of ChinaHefei · China2017–2022 · 9 papers🎓Taiyuan University of TechnologyTaiyuan · China2021–2022 · 3 papers🎓Jinan UniversityGuangzhou · China2014–2016 · 3 papers🏢MicrosoftRedmond · United States2020–2025 · 2 papers🎓Southern University of Science and TechnologyShenzhen · China2015 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksInformation retrieval & search · 1 work

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention (2024 · 202 citations)
    Long-context LLMs face a serious delay before they produce their first token. During pre-filling, attention cost grows quadratically with prompt length. An 8B model needs about half an hour on one A100 to ingest a 1M-token prompt. MInference is a training-free way to cut this delay. The authors observe that attention…
  2. RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval (2024 · 66 citations)
    Serving LLMs with very long contexts is expensive. Attention cost grows with sequence length, and the KV cache for Llama-3-8B reaches roughly 125GB at one million tokens, which no consumer GPU can hold. RetrievalAttention is a training-free method that exploits the fact that each decoding step depends strongly on…

 Co-authors here

12 of 15 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 230 times (of the 149,439 papers whose bibliographies we read); 31 citing papers with a page here →.

Updated

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