---
title: "Yongbin Liu — author profile and papers — Elamur Research"
description: "Yongbin Liu, University of South China: 2 papers on Elamur Research (2026), h-index 14 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/yongbin-liu/"
---
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# Yongbin Liu

Yongbin Liu has 2 papers in our library, in 2026, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Haodong Zou](https://md.research.elamur.ai/free/en/authors/haodong-zou/), [Jie Chen](https://md.research.elamur.ai/free/en/authors/jie-chen/), [Jie Wang](https://md.research.elamur.ai/free/en/authors/jie-wang/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5101666117) · [ORCID](https://orcid.org/0000-0002-3369-3101) · [**h-index 14**](https://openalex.org/authors/A5101666117) · [69 works](https://openalex.org/works?filter=author.id:A5101666117) · [523 citations](https://openalex.org/works?filter=author.id:A5101666117&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yongbin-liu/#papers) · [⭐ Paper Stars ranking: #14073](https://md.research.elamur.ai/free/en/paper-stars/page/141/#star-14073)

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

## Affiliations

[🎓**University of South China** Hengyang · China 2016–2026 · 49 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-south-china/) · [🎓**Tsinghua University** Beijing · China 2013–2017 · 5 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Beijing University of Posts and Telecommunications** Beijing · China 2014–2022 · 3 papers](https://md.research.elamur.ai/free/en/universities/beijing-university-of-posts-and-telecommunications/) · [🎓**Peking University** Beijing · China 2016 · 2 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Tianjin University of Finance and Economics** Tianjin · China 2009–2012 · 2 papers](https://ror.org/05ev1jb90)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [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 3 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Latent semantic indexing · 1 work](https://md.research.elamur.ai/free/en/concepts/latent-semantic-indexing/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yongbin-liu/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[CompTab: A Comprehensive Benchmark for Real-World TableQA with Complex Reasoning and Irregular Tables](https://md.research.elamur.ai/free/en/papers/yang-2026-comptab-comprehensive-benchmark-real-world/)** *(2026)* Most TableQA benchmarks use tidy, well-formed tables, so they overstate how well LLMs handle the messy tables found in practice.
2. **[RanLoRA: Residual-aware Nonlinear Low-Rank Adaptation](https://md.research.elamur.ai/free/en/papers/luo-2026-ranlora-residual-aware-nonlinear-low/)** *(2026)* LoRA restricts weight updates to a linear low-rank subspace, which can limit how well it adapts to complex tasks, especially at very small ranks.

## Co-authors here

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

- [Haodong Zou](https://md.research.elamur.ai/free/en/authors/haodong-zou/)
- [Jie Chen](https://md.research.elamur.ai/free/en/authors/jie-chen/)
- [Jie Wang](https://md.research.elamur.ai/free/en/authors/jie-wang/)
- [Shicheng Tan](https://md.research.elamur.ai/free/en/authors/shicheng-tan/)
- [Wei Du](https://md.research.elamur.ai/free/en/authors/wei-du/)
- [Zhen Yang](https://md.research.elamur.ai/free/en/authors/zhen-yang/)
- [Zhengyang Wang](https://md.research.elamur.ai/free/en/authors/zhengyang-wang/)

## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [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/)

Updated 2 November 2026
