---
title: "Haoli Bai · Huawei Technologies — author profile and papers"
description: "Haoli Bai, Huawei Technologies: 2 papers on Elamur Research (2021–2026), h-index 16 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/haoli-bai/"
---
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# Haoli Bai

Haoli Bai has 2 papers in our library, in 2021–2026, most of them on [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Hui-Ling Zhen](https://md.research.elamur.ai/free/en/authors/hui-ling-zhen/), [Irwin King](https://md.research.elamur.ai/free/en/authors/irwin-king/), [Lifeng Shang](https://md.research.elamur.ai/free/en/authors/lifeng-shang/).

2 papers in our library · 2021–2026

[OpenAlex](https://openalex.org/A5080943673) · [ORCID](https://orcid.org/0000-0002-2436-4875) · [**h-index 16**](https://openalex.org/authors/A5080943673) · [65 works](https://openalex.org/works?filter=author.id:A5080943673) · [676 citations](https://openalex.org/works?filter=author.id:A5080943673&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/haoli-bai/#papers) · [🔗 Cited 75 times in our library](https://md.research.elamur.ai/free/en/authors/haoli-bai/cited-by/) · [⭐ Paper Stars ranking: #6872](https://md.research.elamur.ai/free/en/paper-stars/page/69/#star-6872)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Haoli+Bai) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Haoli+Bai) · [dblp](https://dblp.org/search?q=Haoli+Bai) · [ACL Anthology](https://aclanthology.org/search/?q=Haoli+Bai)

## Affiliations

[🏢**Huawei Technologies** Shenzhen · China 2023–2026 · 25 papers*current*](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) · [🎓**Chinese University of Hong Kong, Shenzhen** Shenzhen · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong-shenzhen/) · [🎓**Chinese University of Hong Kong** Hong Kong · China 2018–2022 · 19 papers](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2016–2017 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/)

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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/)

🧭 Topics 1 Research subjects and languages the work is about.[Efficient models & compression · 2 works](https://md.research.elamur.ai/free/en/topics/efficient-models/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/haoli-bai/year/2026/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/haoli-bai/year/2021/)

## Papers

The most cited first (OpenAlex and our library).

1. **[BinaryBERT: Pushing the Limit of BERT Quantization](https://md.research.elamur.ai/free/en/papers/bai-2021-binarybert-pushing-limit-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](https://md.research.elamur.ai/free/en/papers/zhang-2026-benchmarking-post-training-quantization-large/)** *(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.

- [Hui-Ling Zhen](https://md.research.elamur.ai/free/en/authors/hui-ling-zhen/)
- [Irwin King](https://md.research.elamur.ai/free/en/authors/irwin-king/)
- [Lifeng Shang](https://md.research.elamur.ai/free/en/authors/lifeng-shang/)
- [Lu Hou](https://md.research.elamur.ai/free/en/authors/lu-hou/)
- [Michael R. Lyu](https://md.research.elamur.ai/free/en/authors/michael-r-lyu/)
- [Qun Liu](https://md.research.elamur.ai/free/en/authors/qun-liu/)
- [Wei Zhang](https://md.research.elamur.ai/free/en/authors/wei-zhang/)
- [Xianzhi Yu](https://md.research.elamur.ai/free/en/authors/xianzhi-yu/)
- [Xin Jiang](https://md.research.elamur.ai/free/en/authors/xin-jiang/)
- [Zhenhua Dong](https://md.research.elamur.ai/free/en/authors/zhenhua-dong/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2021](https://md.research.elamur.ai/free/en/venues/acl/2021/)

## 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 →](https://md.research.elamur.ai/free/en/authors/haoli-bai/cited-by/).

Updated 2 November 2026
