---
title: "Zhendong Wang — author profile and papers in our library"
description: "Zhendong Wang, Southern University of Science and Technology: 2 papers on Elamur Research (2024), h-index 26 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/zhendong-wang/"
---
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# Zhendong Wang

Zhendong Wang has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Mingyuan Zhou](https://md.research.elamur.ai/free/en/authors/mingyuan-zhou/), [Hai Huang](https://md.research.elamur.ai/free/en/authors/hai-huang/), [Tianlong Chen](https://md.research.elamur.ai/free/en/authors/tianlong-chen/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5100418326) · [ORCID](https://orcid.org/0000-0002-7082-2478) · [**h-index 26**](https://openalex.org/authors/A5100418326) · [164 works](https://openalex.org/works?filter=author.id:A5100418326) · [2,214 citations](https://openalex.org/works?filter=author.id:A5100418326&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zhendong-wang/#papers) · [🔗 Cited 42 times in our library](https://md.research.elamur.ai/free/en/authors/zhendong-wang/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #10058](https://md.research.elamur.ai/free/en/paper-stars/page/101/#star-10058)

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

## Affiliations

[🎓**Jiangxi University of Science and Technology** Ganzhou · China 2015–2026 · 42 papersEmployment*current*](https://ror.org/03q0t9252) · [🔬**Peng Cheng Laboratory** Shenzhen · China 2025–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/labs/peng-cheng-laboratory/) · [🎓**Xi'an Jiaotong University** Xi'an · China 2022–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/xi-an-jiaotong-university/) · [🎓**Southern University of Science and Technology** Shenzhen · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/southern-university-of-science-and-technology/) · [🎓**The University of Texas at Dallas** Richardson · United States 2019–2023 · 8 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-dallas/) · [🎓**The University of Texas at Austin** Austin · United States 2019–2024 · 6 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-austin/) · [🎓**Jiangxi University of Technology** Jiangxi · China 2021–2023 · 6 papers](https://ror.org/05k2j8e48) · [🎓**Taishan University** Tai’an · China 2004–2020 · 6 papers](https://ror.org/02bpnkx55) · [🎓**Tianjin University** Tianjin · China 2005–2009 · 5 papers](https://md.research.elamur.ai/free/en/universities/tianjin-university/) · [🏢**China Mobile Research Institute** Beijing · China 2023–2025 · 4 papers](https://md.research.elamur.ai/free/en/companies/china-mobile-research-institute/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 40 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 5 The field of science this work belongs to (OpenAlex fields).[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 · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

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

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/zhendong-wang/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation](https://md.research.elamur.ai/free/en/papers/zhou-2024-score-identity-distillation-exponentially-fast/)** *(2024 · 32 citations)* Diffusion models produce excellent images, but sampling requires many passes through the network. For example, EDM uses 35 NFE on CIFAR-10 32x32 and 511 NFE on ImageNet 64x64. Score identity Distillation (SiD) compresses a pretrained diffusion model into a generator that creates an image in a single forward pass, and…
2. **[Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization](https://md.research.elamur.ai/free/en/papers/chen-2024-take-bull-horns-hard-sample/)** *(2024 · 8 citations)* High-quality text for pretraining large language models is becoming scarce. This paper asks whether an already trained LLM can be improved cheaply by briefly continuing training on its own original data, without adding new sources. The authors first checked per-sample losses on C4 with LLaMA-2-7B. The very…

## All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. [**Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation arXiv:2404.04057**Mingyuan Zhou, Huangjie Zheng, Zhendong Wang, et al.*2024 · 32 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2024-score-identity-distillation-exponentially-fast/)
2. [**Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization arXiv:2402.14270**Xuxi Chen, Zhendong Wang, Daouda Sow, et al.*2024 · 8 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-take-bull-horns-hard-sample/)
3. **[One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation ↗](https://arxiv.org/abs/2410.21257) arXiv (Cornell University) · no summary yet**Zhendong Wang et al.*2024 · 5 citations*
4. **[Probabilistic Conformal Prediction Using Conditional Random Samples ↗](https://arxiv.org/abs/2206.06584) arXiv (Cornell University) · no summary yet**Zhendong Wang et al.*2022 · 4 citations*

## Co-authors here

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

- [Mingyuan Zhou](https://md.research.elamur.ai/free/en/authors/mingyuan-zhou/) ×2
- [Hai Huang](https://md.research.elamur.ai/free/en/authors/hai-huang/)
- [Tianlong Chen](https://md.research.elamur.ai/free/en/authors/tianlong-chen/)
- [Xuxi Chen](https://md.research.elamur.ai/free/en/authors/xuxi-chen/)
- [Zhangyang Wang](https://md.research.elamur.ai/free/en/authors/zhangyang-wang/)

## Cited by

Papers of our library cite their works 42 times (of the 150,927 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhendong-wang/cited-by/).

Updated 5 November 2026
