---
title: "Xianda Zheng — author profile and papers · Reasoning"
description: "Xianda Zheng, University of Auckland: 2 papers on Elamur Research (2026), h-index 6 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/xianda-zheng/"
---
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# Xianda Zheng

Xianda Zheng has 2 papers in our library, in 2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Kaiqi Zhao](https://md.research.elamur.ai/free/en/authors/kaiqi-zhao/), [Meng-Fen Chiang](https://md.research.elamur.ai/free/en/authors/meng-fen-chiang/), [Michael Witbrock](https://md.research.elamur.ai/free/en/authors/michael-witbrock/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5053341467) · [ORCID](https://orcid.org/0000-0002-6095-2922) · [**h-index 6**](https://openalex.org/authors/A5053341467) · [20 works](https://openalex.org/works?filter=author.id:A5053341467) · [115 citations](https://openalex.org/works?filter=author.id:A5053341467&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xianda-zheng/#papers) · [⭐ Paper Stars ranking: #13998](https://md.research.elamur.ai/free/en/paper-stars/page/140/#star-13998)

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

## Affiliations

[🎓**University of Auckland** Auckland · New Zealand 2022–2026 · 14 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-auckland/) · [🎓**Southeast University** Nanjing · China 2019–2022 · 4 papers](https://md.research.elamur.ai/free/en/universities/southeast-university-cn/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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).[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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/)

🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Disentangling Reasoning Logic to Resolve Explicit Knowledge Conflicts](https://md.research.elamur.ai/free/en/papers/zheng-2026-disentangling-reasoning-logic-resolve-explicit/)** *(2026)* When retrieved documents give opposing answers to the same question, an LLM has to decide which source to trust.
2. **[Evo-PI: Aligning Medical Reasoning via Evolving Principle-Guided Supervision](https://md.research.elamur.ai/free/en/papers/zheng-2026-evo-pi-aligning-medical-reasoning/)** *(2026)* Multimodal LLMs trained for reasoning usually get static supervision. Fixed prompts, rules or scalar rewards check answer format and correctness but do little to shape how the model reasons, which leads to plateaus, fragile generalization and reward hacking. Evo-PI addresses this by turning reasoning principles into…

## Co-authors here

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

- [Kaiqi Zhao](https://md.research.elamur.ai/free/en/authors/kaiqi-zhao/) ×2
- [Meng-Fen Chiang](https://md.research.elamur.ai/free/en/authors/meng-fen-chiang/) ×2
- [Michael Witbrock](https://md.research.elamur.ai/free/en/authors/michael-witbrock/) ×2

## 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

Updated 2 November 2026
