---
title: "Enneng Yang — author profile and papers — Elamur Research"
description: "Enneng Yang, Northeastern University: 2 papers on Elamur Research (2023–2024), h-index 12 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/enneng-yang/"
---
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# Enneng Yang

Enneng Yang 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 [Dacheng Tao](https://md.research.elamur.ai/free/en/authors/dacheng-tao/), [Guibing Guo](https://md.research.elamur.ai/free/en/authors/guibing-guo/), [Li Shen](https://md.research.elamur.ai/free/en/authors/li-shen/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5086494876) · [ORCID](https://orcid.org/0000-0001-5419-5286) · [**h-index 12**](https://openalex.org/authors/A5086494876) · [68 works](https://openalex.org/works?filter=author.id:A5086494876) · [498 citations](https://openalex.org/works?filter=author.id:A5086494876&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/enneng-yang/#papers) · [🔗 Cited 126 times in our library](https://md.research.elamur.ai/free/en/authors/enneng-yang/cited-by/) · [⭐ Paper Stars ranking: #7287](https://md.research.elamur.ai/free/en/paper-stars/page/73/#star-7287)

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

## Affiliations

[🎓**Northeastern University** Shenyang · China 2019–2026 · 43 papers*current*](https://md.research.elamur.ai/free/en/universities/northeastern-university-cn/) · [🎓**Northeastern University** Boston · United States 2023–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/universities/northeastern-university/) · [🎓**Sun Yat-sen University** Guangzhou · China 2024–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🏥**The Seventh Affiliated Hospital of Sun Yat-sen University** Shenzhen · China 2024–2026 · 3 papers*current*](https://ror.org/00rfd5b88)

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities](https://md.research.elamur.ai/free/en/papers/yang-2024-model-merging-llms-mllms-methods/)** *(2024 · 79 citations)* Model merging combines the weights of several already-trained expert networks into one model, usually needing neither the source training data nor costly retraining.
2. **[AdaMerging: Adaptive Model Merging for Multi-Task Learning](https://md.research.elamur.ai/free/en/papers/yang-2023-adamerging-adaptive-model-merging-multi/)** *(2023 · 59 citations)* Merging several fine-tuned copies of one pre-trained model into a single multi-task network is attractive when the original training data are unavailable.

## Co-authors here

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

- [Dacheng Tao](https://md.research.elamur.ai/free/en/authors/dacheng-tao/) ×2
- [Guibing Guo](https://md.research.elamur.ai/free/en/authors/guibing-guo/) ×2
- [Li Shen](https://md.research.elamur.ai/free/en/authors/li-shen/) ×2
- [Xingwei Wang](https://md.research.elamur.ai/free/en/authors/xingwei-wang/) ×2
- [Jie Zhang](https://md.research.elamur.ai/free/en/authors/jie-zhang/)
- [Xiaochun Cao](https://md.research.elamur.ai/free/en/authors/xiaochun-cao/)
- [Zhenyi Wang](https://md.research.elamur.ai/free/en/authors/zhenyi-wang/)

## Cited by

Papers of our library cite their works 126 times (of the 149,439 papers whose bibliographies we read); [22 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/enneng-yang/cited-by/).

Updated 2 November 2026
