---
title: "Junhao Liu — author profile and papers — Elamur Research"
description: "Junhao Liu, China University of Petroleum, Beijing: 2 papers on Elamur Research (2024–2026), h-index 5 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/junhao-liu/"
---
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# Junhao Liu

Junhao Liu has 2 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/); often with [Binyuan Hui](https://md.research.elamur.ai/free/en/authors/binyuan-hui/), [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/), [Jiaxi Yang](https://md.research.elamur.ai/free/en/authors/jiaxi-yang/).

2 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5100725201) · [ORCID](https://orcid.org/0000-0002-7397-897X) · [**h-index 5**](https://openalex.org/authors/A5100725201) · [20 works](https://openalex.org/works?filter=author.id:A5100725201) · [163 citations](https://openalex.org/works?filter=author.id:A5100725201&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/junhao-liu/#papers) · [🔗 Cited 50 times in our library](https://md.research.elamur.ai/free/en/authors/junhao-liu/cited-by/) · [⭐ Paper Stars ranking: #7533](https://md.research.elamur.ai/free/en/paper-stars/page/76/#star-7533)

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

## Affiliations

[🎓**China University of Petroleum, Beijing** Beijing · China 2025–2026 · 2 papers*current*](https://ror.org/041qf4r12) · [🏛️**Chinese Academy of Sciences** Beijing · China 2020 · 4 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**Northwestern Polytechnical University** Xi'an · China 2018–2019 · 3 papers](https://md.research.elamur.ai/free/en/universities/northwestern-polytechnical-university/) · [🎓**Civil Aviation Flight University of China** Luocheng · China 2023–2025 · 2 papers](https://ror.org/01xyb1v19) · [🎓**Guizhou University** Guiyang · China 2025 · 2 papers](https://ror.org/02wmsc916) · [🎓**Guangzhou Institute of Advanced Technology** Guangzhou · China 2020 · 2 papers](https://ror.org/01vcw4681)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Software · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/software/)

🧭 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/) · [Interpretability · 1 work](https://md.research.elamur.ai/free/en/topics/interpretability/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/junhao-liu/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/junhao-liu/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[One-Shot Learning as Instruction Data Prospector for Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-one-shot-learning-as-instruction/)** *(2024 · 61 citations)* Instruction tuning datasets keep growing, but larger collections often carry noisy examples, and choosing good subsets usually depends on costly trial-and-error.
2. **[Revitalizing Black-Box Interpretability: Actionable Interpretability for LLMs via Proxy Models](https://md.research.elamur.ai/free/en/papers/liu-2026-revitalizing-black-box-interpretability-actionable/)** *(2026)* Perturbation-based explainers such as LIME and SHAP need thousands of model queries for each explanation. That makes them too expensive for closed API models like GPT-4o, especially when explanations are meant to guide optimization rather than just inspection. The authors build on the observation that different LLMs…

## Co-authors here

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

- [Binyuan Hui](https://md.research.elamur.ai/free/en/authors/binyuan-hui/)
- [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/)
- [Jiaxi Yang](https://md.research.elamur.ai/free/en/authors/jiaxi-yang/)
- [Lei Zhang](https://md.research.elamur.ai/free/en/authors/lei-zhang/)
- [Min Yang](https://md.research.elamur.ai/free/en/authors/min-yang/)
- [Shuzheng Si](https://md.research.elamur.ai/free/en/authors/shuzheng-si/)
- [Tongliang Liu](https://md.research.elamur.ai/free/en/authors/tongliang-liu/)
- [Xiaobo Xia](https://md.research.elamur.ai/free/en/authors/xiaobo-xia/)
- [Xin Zhang](https://md.research.elamur.ai/free/en/authors/xin-zhang/)
- [Yongbin Li](https://md.research.elamur.ai/free/en/authors/yongbin-li/)
- [Yunshui Li](https://md.research.elamur.ai/free/en/authors/yunshui-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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/)

## Cited by

Papers of our library cite their works 50 times (of the 149,439 papers whose bibliographies we read); [12 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/junhao-liu/cited-by/).

Updated 1 November 2026
