---
title: "Debing Zhang — author profile and papers — Elamur Research"
description: "Debing Zhang, East China University of Science and Technology: 2 papers on Elamur Research (2025–2026), h-index 8 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/debing-zhang/"
---
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# Debing Zhang

Debing Zhang has 2 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Da Zheng](https://md.research.elamur.ai/free/en/authors/da-zheng/), [Hongyu Lin](https://md.research.elamur.ai/free/en/authors/hongyu-lin/), [Jiawei Chen](https://md.research.elamur.ai/free/en/authors/jiawei-chen/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5069785885) · [ORCID](https://orcid.org/0000-0001-8965-3611) · [**h-index 8**](https://openalex.org/authors/A5069785885) · [40 works](https://openalex.org/works?filter=author.id:A5069785885) · [387 citations](https://openalex.org/works?filter=author.id:A5069785885&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/debing-zhang/#papers) · [🔗 Cited 50 times in our library](https://md.research.elamur.ai/free/en/authors/debing-zhang/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #11525](https://md.research.elamur.ai/free/en/paper-stars/page/116/#star-11525)

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

## Affiliations

[🎓**East China University of Science and Technology** Shanghai · China 2020–2026 · 19 papers*current*](https://md.research.elamur.ai/free/en/universities/east-china-university-of-science-and-technology/) · [🎓**Zhejiang University** Hangzhou · China 2012–2014 · 6 papers](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**University of Science and Technology of China** Hefei · China 2014–2017 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🏢**Xiaohongshu (Little Red Book)** Shanghai · China 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/companies/xiaohongshu-little-red-book/)

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 6 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 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

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/debing-zhang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/debing-zhang/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models](https://md.research.elamur.ai/free/en/papers/tian-2025-untie-knots-efficient-data-augmentation/)** *(2025 · 7 citations)* Extending large language models to very long contexts is difficult for three reasons. Natural documents of 32K–128K tokens are scarce. Upsampling long data shifts the training distribution and can hurt short-context skills. Attention over long sequences is also expensive. The authors propose Untie the Knots (UtK), an…
2. **[MemSearcher: Iterative Memory Integration for Search Agent via End-to-End Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/yuan-2026-memsearcher-iterative-memory-integration-search/)** *(2026)* Search agents built on LLMs usually follow the ReAct pattern. Every thought, tool call and retrieved passage is appended to the prompt, so context grows with each turn. The inputs fill up with irrelevant retrieved text, and compute and GPU memory costs rise. MemSearcher replaces this ever-growing history: at each…

## 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. **[RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? ↗](https://arxiv.org/abs/2501.11284) arXiv:2501.11284 · no summary yet**Haotian Xu et al.*2025 · 37 citations*
2. **[Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree? ↗](https://arxiv.org/abs/2410.05584) arXiv:2410.05584 · no summary yet**Xueru Wen et al.*2024 · 9 citations*
3. **[Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models](https://md.research.elamur.ai/free/en/papers/tian-2025-untie-knots-efficient-data-augmentation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junfeng Tian, Da Zheng, Yang Chen, et al.*2025 · 7 citations*
4. **[MemSearcher: Iterative Memory Integration for Search Agent via End-to-End Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/yuan-2026-memsearcher-iterative-memory-integration-search/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qianhao Yuan, Jie Lou, Zichao Li, et al.*2026*

## Co-authors here

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

- [Da Zheng](https://md.research.elamur.ai/free/en/authors/da-zheng/)
- [Hongyu Lin](https://md.research.elamur.ai/free/en/authors/hongyu-lin/)
- [Jiawei Chen](https://md.research.elamur.ai/free/en/authors/jiawei-chen/)
- [Junfeng Tian](https://md.research.elamur.ai/free/en/authors/junfeng-tian/)
- [Le Sun](https://md.research.elamur.ai/free/en/authors/le-sun/)
- [Qianhao Yuan](https://md.research.elamur.ai/free/en/authors/qianhao-yuan/)
- [Rui Wang](https://md.research.elamur.ai/free/en/authors/rui-wang/)
- [Xianpei Han](https://md.research.elamur.ai/free/en/authors/xianpei-han/)
- [Yang Chen](https://md.research.elamur.ai/free/en/authors/yang-chen/)
- [Yaojie Lu](https://md.research.elamur.ai/free/en/authors/yaojie-lu/)
- [Zichao Li](https://md.research.elamur.ai/free/en/authors/zichao-li/)

## 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 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## Cited by

Papers of our library cite their works 50 times (of the 149,439 papers whose bibliographies we read); [21 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/debing-zhang/cited-by/).

Updated 2 November 2026
