---
title: "Zihang Liu — author profile and papers — Elamur Research"
description: "Zihang Liu, International Computer Science Institute: 3 papers on Elamur Research (2025–2026), h-index 25 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/zihang-liu/"
---
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# Zihang Liu

Zihang Liu has 3 papers in our library, in 2025–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/); often with [Chunyan Miao](https://md.research.elamur.ai/free/en/authors/chunyan-miao/), [Fang Zhouhua](https://md.research.elamur.ai/free/en/authors/fang-zhouhua/), [Hui Liu](https://md.research.elamur.ai/free/en/authors/hui-liu/).

3 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5004393593) · [ORCID](https://orcid.org/0009-0004-9638-9803) · [**h-index 25**](https://openalex.org/authors/A5004393593) · [52 works](https://openalex.org/works?filter=author.id:A5004393593) · [9,213 citations](https://openalex.org/works?filter=author.id:A5004393593&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/zihang-liu/#papers) · [🔗 Cited 18 times in our library](https://md.research.elamur.ai/free/en/authors/zihang-liu/cited-by/) · [⭐ Paper Stars ranking: #9820](https://md.research.elamur.ai/free/en/paper-stars/page/99/#star-9820)

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

## Affiliations

[🔬**International Computer Science Institute** Berkeley · United States 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/labs/international-computer-science-institute/) · [🎓**University of California, Berkeley** Berkeley · United States 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🎓**Zhejiang University** Hangzhou · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**Central China Normal University** Wuhan · China 1989–2025 · 34 papers](https://md.research.elamur.ai/free/en/universities/central-china-normal-university/) · [🔬**Argonne National Laboratory** Lemont · United States 2024 · 3 papers](https://md.research.elamur.ai/free/en/labs/argonne-national-laboratory/) · [🎓**Rice University** Houston · United States 2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/rice-university/) · [🎓**Southwest Jiaotong University** Chengdu · China 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/southwest-jiaotong-university/) · [🎓**Ball State University** Muncie · United States 2024 · 2 papers](https://ror.org/00k6tx165) · [🎓**Sichuan University** Chengdu · China 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/sichuan-university/) · [🏥**West China Hospital of Sichuan University** Chengdu · China 2024 · 2 papers](https://ror.org/007mrxy13)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 13 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 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/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/)

🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/zihang-liu/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/zihang-liu/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models](https://md.research.elamur.ai/free/en/papers/zhifei-2025-audio-reasoner-improving-reasoning-capability/)** *(2025 · 25 citations)* Large audio language models such as Qwen2-Audio and SALMONN rarely use chain-of-thought (CoT) reasoning at scale.
2. **[HTMuon: Improving Muon via Heavy-Tailed Spectral Correction](https://md.research.elamur.ai/free/en/papers/pang-2026-htmuon-improving-muon-heavy-tailed/)** *(2026 · 2 citations)* Muon is a matrix-based optimizer now used in large-scale LLM training. It orthogonalizes the momentum matrix, which forces every singular value to one. The authors argue this has two costs. It gives as much weight to noisy, small-singular-value directions as to informative ones. It also keeps the weight spectra…
3. **[RFS-Guard: Detecting Reasoning Hallucinations via Cross-Phase Routing Focus in Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/liu-2026-rfs-guard-detecting-reasoning-hallucinations/)** *(2026)* Large reasoning models (LRMs) can produce fluent chains of thought that still hide small arithmetic slips or broken constraints, which then lead to wrong final answers.

## Co-authors here

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

- [Chunyan Miao](https://md.research.elamur.ai/free/en/authors/chunyan-miao/)
- [Fang Zhouhua](https://md.research.elamur.ai/free/en/authors/fang-zhouhua/)
- [Hui Liu](https://md.research.elamur.ai/free/en/authors/hui-liu/)
- [Lei Hsiung](https://md.research.elamur.ai/free/en/authors/lei-hsiung/)
- [Shuicheng Yan](https://md.research.elamur.ai/free/en/authors/shuicheng-yan/)
- [Tianyu Pang](https://md.research.elamur.ai/free/en/authors/tianyu-pang/)
- [Xie Zhifei](https://md.research.elamur.ai/free/en/authors/xie-zhifei/)
- [Yaoqing Yang](https://md.research.elamur.ai/free/en/authors/yaoqing-yang/)
- [Yong Li](https://md.research.elamur.ai/free/en/authors/yong-li/)
- [Zhiwei Liu](https://md.research.elamur.ai/free/en/authors/zhiwei-liu/)

## 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/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/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 18 times (of the 149,439 papers whose bibliographies we read); [11 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zihang-liu/cited-by/).

Updated 2 November 2026
