---
title: "Xun Yang · Tongji University — author profile and papers"
description: "Xun Yang, Tongji University: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/xun-yang/"
---
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# Xun Yang

Xun Yang has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Binbin Zheng](https://md.research.elamur.ai/free/en/authors/binbin-zheng/), [Jinpeng Hu](https://md.research.elamur.ai/free/en/authors/jinpeng-hu/), [Long Bai](https://md.research.elamur.ai/free/en/authors/long-bai/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139766871) · [**h-index 0**](https://openalex.org/authors/A5139766871) · [3 works](https://openalex.org/works?filter=author.id:A5139766871) · [0 citations](https://openalex.org/works?filter=author.id:A5139766871&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xun-yang/#papers) · [🔗 Cited 10 times in our library](https://md.research.elamur.ai/free/en/authors/xun-yang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9980](https://md.research.elamur.ai/free/en/paper-stars/page/100/#star-9980)

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

## Affiliations

[🎓**University of Science and Technology of China** Hefei · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🎓**Tongji University** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/tongji-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 6 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/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/)

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

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and Reasoning](https://md.research.elamur.ai/free/en/papers/dai-2026-psyche-r1-reliable-psychological-llms/)** *(2026 · 8 citations)* Psyche-R1 is a Chinese psychological LLM that combines three abilities usually built separately: empathetic counselling, psychology domain knowledge, and explicit reasoning.
2. **[Maximizing Local Entropy Where It Matters: Prefix-Aware Localized LLM Unlearning](https://md.research.elamur.ai/free/en/papers/zhai-2026-maximizing-local-entropy-where-it/)** *(2026 · 2 citations)* Unlearning methods for LLMs aim to erase private or copyrighted knowledge without retraining. Most of them, such as GA and NPO, push down likelihoods over every token of a response and across the whole vocabulary. This wastes compute and harms general ability. The authors propose PALU (Prefix-Aware Localized…

## 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. **[Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and Reasoning](https://md.research.elamur.ai/free/en/papers/dai-2026-psyche-r1-reliable-psychological-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chongyuan Dai, Jinpeng Hu, Hongchang Shi, et al.*2026 · 8 citations*
2. **[Maximizing Local Entropy Where It Matters: Prefix-Aware Localized LLM Unlearning](https://md.research.elamur.ai/free/en/papers/zhai-2026-maximizing-local-entropy-where-it/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Naixin Zhai, Pengyang Shao, Binbin Zheng, et al.*2026 · 2 citations*
3. **[TableVista: Benchmarking Multimodal Table Reasoning under Visual and Structural Complexity ↗](https://aclanthology.org/2026.findings-acl.1745/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Zheyuan Yang et al.*2026*

## Co-authors here

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

- [Binbin Zheng](https://md.research.elamur.ai/free/en/authors/binbin-zheng/)
- [Jinpeng Hu](https://md.research.elamur.ai/free/en/authors/jinpeng-hu/)
- [Long Bai](https://md.research.elamur.ai/free/en/authors/long-bai/)
- [Meng Wang](https://md.research.elamur.ai/free/en/authors/meng-wang/)
- [Zhuo Li](https://md.research.elamur.ai/free/en/authors/zhuo-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/) ×2
- Findings of the Association for Computational Linguistics: ACL 2026

## Cited by

Papers of our library cite their works 10 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xun-yang/cited-by/).

Updated 31 October 2026
