--- title: "Zixuan Wang — author profile and papers · Reasoning" description: "Zixuan Wang, Harbin Institute of Technology: 4 papers on Elamur Research (2025–2026), h-index 1 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/zixuan-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zixuan-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zixuan Wang # Zixuan Wang Zixuan Wang has 4 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/); often with [Deyu Zhou](https://md.research.elamur.ai/free/en/authors/deyu-zhou/), [Fan Yin](https://md.research.elamur.ai/free/en/authors/fan-yin/), [Guiyang Hou](https://md.research.elamur.ai/free/en/authors/guiyang-hou/). 4 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5139766814) · [**h-index 1**](https://openalex.org/authors/A5139766814) · [7 works](https://openalex.org/works?filter=author.id:A5139766814) · [1 citations](https://openalex.org/works?filter=author.id:A5139766814&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/zixuan-wang/#papers) · [🔗 Cited 22 times in our library](https://md.research.elamur.ai/free/en/authors/zixuan-wang/cited-by/) · [⭐ Paper Stars ranking: #8847](https://md.research.elamur.ai/free/en/paper-stars/page/89/#star-8847) 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=Zixuan+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zixuan+Wang) · [dblp](https://dblp.org/search?q=Zixuan+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Zixuan+Wang) ## Affiliations [🏢**Baidu** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/baidu/) · [🎓**Great Bay University** Dongguan · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/great-bay-university/) · [🎓**Harbin Institute of Technology** Harbin · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**The Hong Kong University of Science and Technology (Guangzhou)** Guangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/the-hong-kong-university-of-science-and-technology-guangzhou/) · [🎓**University of Florida** Gainesville · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-florida/) · [🎓**Zhejiang University** Hangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## 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 · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](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/) · [Software · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/software/) 🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/zixuan-wang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/zixuan-wang/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Scaling Latent Reasoning via Looped Language Models](https://md.research.elamur.ai/free/en/papers/zhu-2025-scaling-latent-reasoning-looped-language/)** *(2025 · 22 citations)* Most large language models learn to reason through explicit chain-of-thought added after pre-training. This lengthens outputs and makes little use of pre-training data. The authors propose Ouro, a family of Looped Language Models (LoopLM) in which a stack of weight-tied layers is applied several times, so hidden… 2. **[CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-Evolution](https://md.research.elamur.ai/free/en/papers/pan-2026-coverrl-breaking-consensus-trap-label/)** *(2026 · 1 citation)* Label-free reinforcement learning for LLM reasoning usually rewards a model for matching its own majority-voted answer. 3. **[Knowledge Vector of Logical Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-knowledge-vector-logical-reasoning-large/)** *(2026)* The paper asks whether the three classic forms of logical reasoning (deductive, inductive and abductive) correspond to linear directions in an LLM's activation space, and how these directions relate to each other. 4. **[Let the Comments Speak: A Multi-Agent Framework based on Large Language Model for Comment-Guided Code Refactoring](https://md.research.elamur.ai/free/en/papers/wang-2026-let-comments-speak-multi-agent/)** *(2026)* LLM-based refactoring tools tend to treat code mostly as syntax and ignore the intent that comments convey. ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Deyu Zhou](https://md.research.elamur.ai/free/en/authors/deyu-zhou/) - [Fan Yin](https://md.research.elamur.ai/free/en/authors/fan-yin/) - [Guiyang Hou](https://md.research.elamur.ai/free/en/authors/guiyang-hou/) - [Haoran Que](https://md.research.elamur.ai/free/en/authors/haoran-que/) - [Jiajun Shi](https://md.research.elamur.ai/free/en/authors/jiajun-shi/) - [Jun Xiao](https://md.research.elamur.ai/free/en/authors/jun-xiao/) - [Lu Li](https://md.research.elamur.ai/free/en/authors/lu-li/) - [Rui-Jie Zhu](https://md.research.elamur.ai/free/en/authors/rui-jie-zhu/) - [Tianyu Zhang](https://md.research.elamur.ai/free/en/authors/tianyu-zhang/) - [Weiming Lu](https://md.research.elamur.ai/free/en/authors/weiming-lu/) - [Wenqi Zhang](https://md.research.elamur.ai/free/en/authors/wenqi-zhang/) - [Yongliang Shen](https://md.research.elamur.ai/free/en/authors/yongliang-shen/) ## 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/) ×2 - [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 22 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/zixuan-wang/cited-by/). Updated 1 November 2026