---
title: "Ye Liu — author profile and papers — Elamur Research"
description: "Ye Liu, Shenzhen Research Institute of Big Data: 3 papers on Elamur Research (2023–2026), h-index 24 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/ye-liu/"
---
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# Ye Liu

Ye Liu has 3 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Caiming Xiong](https://md.research.elamur.ai/free/en/authors/caiming-xiong/), [Ansong Ni](https://md.research.elamur.ai/free/en/authors/ansong-ni/), [Chao Xue](https://md.research.elamur.ai/free/en/authors/chao-xue/).

3 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5100346550) · [ORCID](https://orcid.org/0000-0002-2830-2049) · [**h-index 24**](https://openalex.org/authors/A5100346550) · [194 works](https://openalex.org/works?filter=author.id:A5100346550) · [2,141 citations](https://openalex.org/works?filter=author.id:A5100346550&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/ye-liu/#papers) · [🔗 Cited 26 times in our library](https://md.research.elamur.ai/free/en/authors/ye-liu/cited-by/) · [⭐ Paper Stars ranking: #7856](https://md.research.elamur.ai/free/en/paper-stars/page/79/#star-7856)

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

## Affiliations

[🎓**Chinese University of Hong Kong, Shenzhen** Shenzhen · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong-shenzhen/) · [🎓**Shenzhen Research Institute of Big Data** Shenzhen · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shenzhen-research-institute-of-big-data/) · [🎓**Anhui University** Hefei · China 1999–2025 · 114 papers](https://md.research.elamur.ai/free/en/universities/anhui-university/) · [🏢**Salesforce** San Francisco · United States 2022–2024 · 7 papers](https://md.research.elamur.ai/free/en/companies/salesforce/) · [🎓**Shenzhen University** Shenzhen · China 2021–2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/shenzhen-university/) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2021–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) · [🏢**Mercedes-Benz** Stuttgart · Germany 2022–2023 · 3 papers](https://ror.org/055rn2a38) · [🎓**University of Illinois Chicago** Chicago · United States 2019–2021 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-illinois-chicago/) · [🔬**Beijing Aerospace Flight Control Center** Beijing · China 2014–2017 · 3 papers](https://ror.org/007a14354) · [🏛️**Chinese Academy of Sciences** Beijing · China 2004–2014 · 3 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 22 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 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 3 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/)

🧭 Topics 3 Research subjects and languages the work is about.[Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [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/ye-liu/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/ye-liu/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/ye-liu/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models](https://md.research.elamur.ai/free/en/papers/ni-2024-l2ceval-evaluating-language-code-generation/)** *(2024 · 27 citations)* Large language models trained on code can turn natural-language requests into executable programs, but earlier evaluations covered isolated tasks, single model families or particular learning setups.
2. **[DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI](https://md.research.elamur.ai/free/en/papers/zhang-2023-dialogstudio-towards-richest-most-diverse/)** *(2023 · 21 citations)* Conversational models often struggle across varied dialogue tasks because training data is fragmented, small, task-specific and stored in inconsistent formats.
3. **[Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling](https://md.research.elamur.ai/free/en/papers/wang-2026-universally-empowering-zeroth-order-optimization/)** *(2026)* Zeroth-Order (ZO) fine-tuning of LLMs needs only forward passes and therefore uses about as much memory as inference.

## Co-authors here

12 of 20 co-authors with a page, the most papers together first.

- [Caiming Xiong](https://md.research.elamur.ai/free/en/authors/caiming-xiong/) ×2
- [Ansong Ni](https://md.research.elamur.ai/free/en/authors/ansong-ni/)
- [Chao Xue](https://md.research.elamur.ai/free/en/authors/chao-xue/)
- [Fei Wang](https://md.research.elamur.ai/free/en/authors/fei-wang/)
- [Huan Wang](https://md.research.elamur.ai/free/en/authors/huan-wang/)
- [Jianguo Zhang](https://md.research.elamur.ai/free/en/authors/jianguo-zhang/)
- [Kun Qian](https://md.research.elamur.ai/free/en/authors/kun-qian/)
- [Li Shen](https://md.research.elamur.ai/free/en/authors/li-shen/)
- [Liang Ding](https://md.research.elamur.ai/free/en/authors/liang-ding/)
- [Martin Riddell](https://md.research.elamur.ai/free/en/authors/martin-riddell/)
- [Pengcheng Yin](https://md.research.elamur.ai/free/en/authors/pengcheng-yin/)
- [Rui Meng](https://md.research.elamur.ai/free/en/authors/rui-meng/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/), [Findings of the Association for Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/findings/2023/)
- [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2024](https://md.research.elamur.ai/free/en/venues/tacl/2024/)

## Cited by

Papers of our library cite their works 26 times (of the 149,439 papers whose bibliographies we read); [8 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ye-liu/cited-by/).

Updated 1 November 2026
