---
title: "Zhixiang Wang · Peking University — author profile and papers"
description: "Zhixiang Wang, Peking University: 2 papers on Elamur Research (2026), h-index 3 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/zhixiang-wang/"
---
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# Zhixiang Wang

Zhixiang Wang has 2 papers in our library, in 2026, most of them on [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Dajun Chen](https://md.research.elamur.ai/free/en/authors/dajun-chen/), [Jingxuan Xu](https://md.research.elamur.ai/free/en/authors/jingxuan-xu/), [Ming Liang](https://md.research.elamur.ai/free/en/authors/ming-liang/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5100700407) · [**h-index 3**](https://openalex.org/authors/A5100700407) · [12 works](https://openalex.org/works?filter=author.id:A5100700407) · [36 citations](https://openalex.org/works?filter=author.id:A5100700407&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zhixiang-wang/#papers) · 🔗 Cited 4 times in our library · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #14132](https://md.research.elamur.ai/free/en/paper-stars/page/142/#star-14132)

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

## Affiliations

[🏢**Ant Group** Hangzhou · China 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/companies/ant-group/) · [🎓**Peking University** Beijing · China 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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 1 Research subjects and languages the work is about.[Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[EGSS: Entropy-guided Stepwise Scaling for Reliable Software Engineering](https://md.research.elamur.ai/free/en/papers/mao-2026-egss-entropy-guided-stepwise-scaling/)** *(2026)* Agentic test-time scaling (TTS) helps LLM agents resolve repository-level software issues, but running many trajectories is costly, and choosing the best candidate patch is unreliable.
2. **[FuseSearch: Learning Adaptive Parallel Execution for Efficient Code Localization](https://md.research.elamur.ai/free/en/papers/xu-2026-fusesearch-learning-adaptive-parallel-execution/)** *(2026)* Finding the files and functions that must change to fix a software issue, known as code localization, consumes much of the compute that coding agents spend.

## All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine Translation ↗](https://aclanthology.org/2024.emnlp-main.555/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Chenming Tang, Zhixiang Wang, Yunfang Wu*2024 · 5 citations*
2. **[EGSS: Entropy-guided Stepwise Scaling for Reliable Software Engineering](https://md.research.elamur.ai/free/en/papers/mao-2026-egss-entropy-guided-stepwise-scaling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenhui Mao, Yuanting Lei, Zhixiang Wei, et al.*2026*
3. **[FuseSearch: Learning Adaptive Parallel Execution for Efficient Code Localization](https://md.research.elamur.ai/free/en/papers/xu-2026-fusesearch-learning-adaptive-parallel-execution/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ke Xu, Siyang Xiao, Ming Liang, et al.*2026*

## Co-authors here

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

- [Dajun Chen](https://md.research.elamur.ai/free/en/authors/dajun-chen/) ×2
- [Jingxuan Xu](https://md.research.elamur.ai/free/en/authors/jingxuan-xu/) ×2
- [Ming Liang](https://md.research.elamur.ai/free/en/authors/ming-liang/) ×2
- [Wei Jiang](https://md.research.elamur.ai/free/en/authors/wei-jiang/) ×2
- [Yong Li](https://md.research.elamur.ai/free/en/authors/yong-li/) ×2
- [Ke Xu](https://md.research.elamur.ai/free/en/authors/ke-xu/)

## 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/)
- Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

## Cited by

Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read).

Updated 2 November 2026
