---
title: "Zhengfu He · Fudan University — author profile and papers"
description: "Zhengfu He, Fudan University: 2 papers on Elamur Research (2023–2024), h-index 8 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/zhengfu-he/"
---
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# Zhengfu He

Zhengfu He has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Xipeng Qiu](https://md.research.elamur.ai/free/en/authors/xipeng-qiu/), [Xuanjing Huang](https://md.research.elamur.ai/free/en/authors/xuanjing-huang/), [Lingjie Chen](https://md.research.elamur.ai/free/en/authors/lingjie-chen/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5083285849) · [ORCID](https://orcid.org/0000-0003-3167-9493) · [Wikidata](https://www.wikidata.org/wiki/Q90593177) · [**h-index 8**](https://openalex.org/authors/A5083285849) · [14 works](https://openalex.org/works?filter=author.id:A5083285849) · [428 citations](https://openalex.org/works?filter=author.id:A5083285849&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zhengfu-he/#papers) · [🔗 Cited 109 times in our library](https://md.research.elamur.ai/free/en/authors/zhengfu-he/cited-by/) · [⭐ Paper Stars ranking: #6482](https://md.research.elamur.ai/free/en/paper-stars/page/65/#star-6482)

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=Zhengfu+He) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhengfu+He) · [dblp](https://dblp.org/search?q=Zhengfu+He) · [ACL Anthology](https://aclanthology.org/search/?q=Zhengfu+He)

## Affiliations

[🎓**Fudan University** Shanghai · China 2022–2024 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🏥**Sir Run Run Shaw Hospital** Hangzhou · China 2020–2024 · 6 papers*current*](https://ror.org/00ka6rp58) · [🎓**Zhejiang University** Hangzhou · China 2020–2024 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🏥**Second Affiliated Hospital of Zhejiang University** Hangzhou · China 2024 · 2 papers*current*](https://ror.org/059cjpv64) · [🎓**Shanghai Innovation Institute** Shanghai · China 2024 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shanghai-innovation-institute/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 5 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/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/zhengfu-he/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/zhengfu-he/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models](https://md.research.elamur.ai/free/en/papers/he-2023-diffusionbert-improving-generative-masked-language/)** *(2023 · 136 citations)* Text is discrete, which makes diffusion models hard to apply to it. Earlier diffusion approaches for text also ignored pre-trained language models. DiffusionBERT addresses this by noting that BERT and diffusion models both learn to denoise. The authors use BERT as the network that reverses a discrete diffusion…
2. **[Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders](https://md.research.elamur.ai/free/en/papers/he-2024-llama-scope-extracting-millions-features/)** *(2024 · 63 citations)* Sparse Autoencoders (SAEs) are a leading unsupervised tool for splitting language-model activations into sparse, interpretable features.

## Co-authors here

8 co-authors with a page, the most papers together first.

- [Xipeng Qiu](https://md.research.elamur.ai/free/en/authors/xipeng-qiu/) ×2
- [Xuanjing Huang](https://md.research.elamur.ai/free/en/authors/xuanjing-huang/) ×2
- [Lingjie Chen](https://md.research.elamur.ai/free/en/authors/lingjie-chen/)
- [Qiong Tang](https://md.research.elamur.ai/free/en/authors/qiong-tang/)
- [Qipeng Guo](https://md.research.elamur.ai/free/en/authors/qipeng-guo/)
- [Tianxiang Sun](https://md.research.elamur.ai/free/en/authors/tianxiang-sun/)
- [Yu-Gang Jiang](https://md.research.elamur.ai/free/en/authors/yu-gang-jiang/)
- [Yunhua Zhou](https://md.research.elamur.ai/free/en/authors/yunhua-zhou/)

## 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/): [ACL 2023](https://md.research.elamur.ai/free/en/venues/acl/2023/)

## Cited by

Papers of our library cite their works 109 times (of the 149,439 papers whose bibliographies we read); [31 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhengfu-he/cited-by/).

Updated 2 November 2026
