---
title: "Zhaoyang Zhang — author profile and papers in our library"
description: "Zhaoyang Zhang, Jiangsu University: 2 papers on Elamur Research (2023–2026), h-index 13 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/zhaoyang-zhang/"
---
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# Zhaoyang Zhang

Zhaoyang Zhang has 2 papers in our library, in 2023–2026, 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/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Dhananjay Ram](https://md.research.elamur.ai/free/en/authors/dhananjay-ram/), [Kaipeng Zhang](https://md.research.elamur.ai/free/en/authors/kaipeng-zhang/), [Mengzhao Chen](https://md.research.elamur.ai/free/en/authors/mengzhao-chen/).

2 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5101452749) · [ORCID](https://orcid.org/0000-0002-1343-1884) · [**h-index 13**](https://openalex.org/authors/A5101452749) · [23 works](https://openalex.org/works?filter=author.id:A5101452749) · [434 citations](https://openalex.org/works?filter=author.id:A5101452749&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zhaoyang-zhang/#papers) · [🔗 Cited 193 times in our library](https://md.research.elamur.ai/free/en/authors/zhaoyang-zhang/cited-by/) · [⭐ Paper Stars ranking: #6648](https://md.research.elamur.ai/free/en/paper-stars/page/67/#star-6648)

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

## Affiliations

[🎓**Jiangsu University** Zhenjiang · China 2019–2025 · 8 papers*current*](https://ror.org/03jc41j30) · [🎓**National University of Defense Technology** Changsha · China 2012–2016 · 12 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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).[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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 3 Research subjects and languages the work is about.[Efficient models & compression · 2 works](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/zhaoyang-zhang/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/zhaoyang-zhang/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models](https://md.research.elamur.ai/free/en/papers/shao-2023-omniquant-omnidirectionally-calibrated-quantization-large/)** *(2023 · 195 citations)* Compressing large language models to very low bit-widths usually forces a trade-off. Post-training quantization (PTQ) is cheap, but it relies on hand-tuned parameters and degrades badly at settings such as W2A16 or W4A4. Quantization-aware training (QAT) keeps accuracy but needs heavy compute and data. OmniQuant aims…
2. **[Reinforcement-aware Knowledge Distillation for LLM Reasoning](https://md.research.elamur.ai/free/en/papers/zhang-2026-reinforcement-aware-knowledge-distillation-llm/)** *(2026 · 13 citations)* Long chain-of-thought reasoning models trained with RL are expensive to run, so practitioners distill them into smaller students.

## Co-authors here

12 of 14 co-authors with a page, the most papers together first.

- [Dhananjay Ram](https://md.research.elamur.ai/free/en/authors/dhananjay-ram/)
- [Kaipeng Zhang](https://md.research.elamur.ai/free/en/authors/kaipeng-zhang/)
- [Mengzhao Chen](https://md.research.elamur.ai/free/en/authors/mengzhao-chen/)
- [Peng Gao](https://md.research.elamur.ai/free/en/authors/peng-gao/)
- [Peng Xu](https://md.research.elamur.ai/free/en/authors/peng-xu/)
- [Ping Luo](https://md.research.elamur.ai/free/en/authors/ping-luo/)
- [Shuo Yang](https://md.research.elamur.ai/free/en/authors/shuo-yang/)
- [Stefano Soatto](https://md.research.elamur.ai/free/en/authors/stefano-soatto/)
- [Wei Xia](https://md.research.elamur.ai/free/en/authors/wei-xia/)
- [Wenqi Shao](https://md.research.elamur.ai/free/en/authors/wenqi-shao/)
- [Yantao Shen](https://md.research.elamur.ai/free/en/authors/yantao-shen/)
- [Yu Qiao](https://md.research.elamur.ai/free/en/authors/yu-qiao/)

## Cited by

Papers of our library cite their works 193 times (of the 149,439 papers whose bibliographies we read); [32 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhaoyang-zhang/cited-by/).

Updated 3 November 2026
