---
title: "Zijia Chen · Emory University — author profile and papers"
description: "Zijia Chen, Emory University: 2 papers on Elamur Research (2024), h-index 2 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/zijia-chen/"
---
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# Zijia Chen

Zijia Chen 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 [Ameya Sunil Mahabaleshwarkar](https://md.research.elamur.ai/free/en/authors/ameya-sunil-mahabaleshwarkar/), [Shizhe Diao](https://md.research.elamur.ai/free/en/authors/shizhe-diao/), [Yoshi Suhara](https://md.research.elamur.ai/free/en/authors/yoshi-suhara/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5113620068) · [ORCID](https://orcid.org/0000-0003-0730-6988) · [**h-index 2**](https://openalex.org/authors/A5113620068) · [9 works](https://openalex.org/works?filter=author.id:A5113620068) · [16 citations](https://openalex.org/works?filter=author.id:A5113620068&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zijia-chen/#papers) · [🔗 Cited 89 times in our library](https://md.research.elamur.ai/free/en/authors/zijia-chen/cited-by/) · [⭐ Paper Stars ranking: #6918](https://md.research.elamur.ai/free/en/paper-stars/page/70/#star-6918)

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

## Affiliations

[🎓**Emory University** Atlanta · United States 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/emory-university/) · [🎓**China University of Petroleum, Beijing** Beijing · China 2025 · 2 papers](https://ror.org/041qf4r12)

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

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Hymba: A Hybrid-head Architecture for Small Language Models](https://md.research.elamur.ai/free/en/papers/dong-2024-hymba-hybrid-head-architecture-small/)** *(2024 · 50 citations)* Small language models must balance accuracy against memory and speed. Transformers recall context well, but their compute cost and KV cache grow quickly with sequence length. State space models such as Mamba run cheaply but recall poorly. Earlier hybrids stacked the two layer types one after another, so a weak layer…
2. **[LLM Pruning and Distillation in Practice: The Minitron Approach](https://md.research.elamur.ai/free/en/papers/sreenivas-2024-llm-pruning-distillation-practice-minitron/)** *(2024 · 44 citations)* Minitron-style compression trains only the largest model in a family and derives smaller ones by structured pruning followed by knowledge distillation.

## Co-authors here

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

- [Ameya Sunil Mahabaleshwarkar](https://md.research.elamur.ai/free/en/authors/ameya-sunil-mahabaleshwarkar/) ×2
- [Shizhe Diao](https://md.research.elamur.ai/free/en/authors/shizhe-diao/) ×2
- [Yoshi Suhara](https://md.research.elamur.ai/free/en/authors/yoshi-suhara/) ×2
- [Jan Kautz](https://md.research.elamur.ai/free/en/authors/jan-kautz/)
- [Jiaqi Zeng](https://md.research.elamur.ai/free/en/authors/jiaqi-zeng/)
- [Xin Dong](https://md.research.elamur.ai/free/en/authors/xin-dong/)
- [Yingyan Celine Lin](https://md.research.elamur.ai/free/en/authors/yingyan-celine-lin/)
- [Yonggan Fu](https://md.research.elamur.ai/free/en/authors/yonggan-fu/)

## Cited by

Papers of our library cite their works 89 times (of the 149,439 papers whose bibliographies we read); [19 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zijia-chen/cited-by/).

Updated 1 November 2026
