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Huizi Mao

Huizi Mao has 2 papers in our library, in 2016–2023, most of them on Language models & pretraining, Vision & language, Efficient models & compression; often with Song Han, Andrew Tao, Jan Kautz.

2 papers in our library · 2016–2023

OpenAlex · ORCID · h-index 18 · 29 works · 10,938 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 310 times in our library · ⭐ Paper Stars ranking: #1935

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

🎓Stanford UniversityStanford · United States2016–2021 · 11 papers🎓Tsinghua UniversityBeijing · China2015–2018 · 5 papers🏢NvidiaSanta Clara · United States2025 · 2 papers

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

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Vision and Pattern Recognition · 2 worksEngineering · 1 workElectrical and Electronic Engineering · 1 workHardware and Architecture · 1 workArts and Humanities · 1 workArtificial Intelligence · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Efficient models & compression · 1 workLanguage models & pretraining · 1 workVision & language · 1 work

 Works by year

2020s

20231 paper

2010s

20161 paper

 Papers

The most cited first (OpenAlex and our library).

  1. EIE: Efficient Inference Engine on Compressed Deep Neural Network (2016 · 1,193 citations)
    Large neural networks spend most of their energy fetching weights from off-chip DRAM rather than on arithmetic.
  2. VILA: On Pre-training for Visual Language Models (2023 · 381 citations)
    Most work on visual language models (VLMs) has focused on instruction tuning. The pre-training stage, where an LLM first learns to handle images and text together, has received far less systematic study. This paper addresses that gap. Starting from Llama-2, the authors build auto-regressive VLMs, in which image…

 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 310 times (of the 149,439 papers whose bibliographies we read); 49 citing papers with a page here →.

Updated

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