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Haoli Bai

Haoli Bai has 2 papers in our library, in 2021–2026, most of them on Efficient models & compression; often with Hui-Ling Zhen, Irwin King, Lifeng Shang.

2 papers in our library · 2021–2026

OpenAlex · ORCID · h-index 16 · 65 works · 676 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 75 times in our library · ⭐ Paper Stars ranking: #6872

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

🏢Huawei TechnologiesShenzhen · China2023–2026 · 25 paperscurrent🎓Chinese University of Hong Kong, ShenzhenShenzhen · China2026 · 1 papercurrent🎓Chinese University of Hong KongHong Kong · China2018–2022 · 19 papers🎓University of Electronic Science and Technology of ChinaChengdu · China2016–2017 · 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 6The 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 worksComputational Theory and Mathematics · 1 work

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

 Works by year

2020s

20261 paper20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. BinaryBERT: Pushing the Limit of BERT Quantization (2021 · 166 citations)
    Large pre-trained language models are hard to run on edge devices, and quantization shrinks them without redesigning the architecture.
  2. Benchmarking Post-Training Quantization of Large Language Models under Microscaling Floating Point Formats (2026)
    Most post-training quantization (PTQ) methods for LLMs were built for integer formats. It is unclear how they behave under Microscaling Floating-Point (MXFP), a block-scaled format with growing hardware support. The authors benchmark PTQ under MXFP8 and MXFP4, simulated with Microsoft's microxcaling library. They…

 Co-authors here

10 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 75 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated

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