---
title: "Tao Yang · Sun Yat-sen University — author profile and papers"
description: "Tao Yang, Sun Yat-sen University: 2 papers on Elamur Research (2023–2024), h-index 65 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/tao-yang/"
---
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# Tao Yang

Tao Yang has 2 papers in our library, in 2023–2024, 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 [Chen Chen](https://md.research.elamur.ai/free/en/authors/chen-chen/), [Chen Li](https://md.research.elamur.ai/free/en/authors/chen-li/), [Dong Du](https://md.research.elamur.ai/free/en/authors/dong-du/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5072704825) · [ORCID](https://orcid.org/0000-0003-4355-9210) · [Wikidata](https://www.wikidata.org/wiki/Q93358277) · [**h-index 65**](https://openalex.org/authors/A5072704825) · [395 works](https://openalex.org/works?filter=author.id:A5072704825) · [17,535 citations](https://openalex.org/works?filter=author.id:A5072704825&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/tao-yang/#papers) · [🔗 Cited 37 times in our library](https://md.research.elamur.ai/free/en/authors/tao-yang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9351](https://md.research.elamur.ai/free/en/paper-stars/page/94/#star-9351)

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

## Affiliations

[🎓**City University of Hong Kong** Hong Kong · China 2017–2026 · 205 papersEducationEmployment*current*](https://md.research.elamur.ai/free/en/universities/city-university-of-hong-kong/) · [🎓**City University of Hong Kong, Shenzhen Research Institute** Shenzhen · China 2023–2026 · 16 papers*current*](https://md.research.elamur.ai/free/en/universities/city-university-of-hong-kong-shenzhen-research-institute/) · [🔬**Shenyang National Laboratory for Materials Science** Shenyang · China 2022–2026 · 14 papers*current*](https://ror.org/05nkvrx25) · [🎓**Shaanxi University of Technology** Hanzhong · China 2024–2026 · 5 papers*current*](https://ror.org/056m91h77) · [🎓**Lanzhou University of Technology** Lanzhou · China 2008–2026 · 2 papers*current*](https://ror.org/03panb555) · [🎓**Nanjing University** Nanjing · China 2021–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/nanjing-university/) · [🎓**Sun Yat-sen University** Guangzhou · China 2020–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🏥**The Affiliated Yongchuan Hospital of Chongqing Medical University** Chongqing · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/hospitals/the-affiliated-yongchuan-hospital-of-chongqing-medical-university/) · [🎓**Wuyi University** Wuyishan · China 2022–2026 · 2 papers*current*](https://ror.org/059djzq42) · [🎓**Southwest Jiaotong University** Chengdu · China 2021–2025 · 11 papers](https://md.research.elamur.ai/free/en/universities/southwest-jiaotong-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 79 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 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [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/)

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

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/tao-yang/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/tao-yang/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[HunyuanProver: A Scalable Data Synthesis Framework and Guided Tree Search for Automated Theorem Proving](https://md.research.elamur.ai/free/en/papers/li-2024-hunyuanprover-scalable-data-synthesis/)** *(2024 · 25 citations)* Formal theorem proving in LEAN4 remains difficult for language models. The search space is enormous, and there is little supervised data: mathlib4 provides only about 50k theorems with tactics. HunyuanProver addresses this by fine-tuning the Hunyuan 7B model with two components. The first is a low-cost, iterative…
2. **[ConPET: Continual Parameter-Efficient Tuning for Large Language Models](https://md.research.elamur.ai/free/en/papers/song-2023-conpet-continual-parameter-efficient-tuning/)** *(2023 · 14 citations)* Adapting large language models to a stream of new tasks is costly when every update changes all weights. Full fine-tuning also tends to erase skills learned on earlier tasks, a problem known as catastrophic forgetting. Song et al. propose ConPET, a framework for continual task adaptation of LLMs in which training…

## 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. **[Negative mixing enthalpy solid solutions deliver high strength and ductility ↗](https://doi.org/10.1038/s41586-023-06894-9) Nature · no summary yet**Zibing An et al.*2024 · 316 citations*
2. [**HunyuanProver: A Scalable Data Synthesis Framework and Guided Tree Search for Automated Theorem Proving arXiv:2412.20735**Yang Li, Dong Du, Linfeng Song, et al.*2024 · 25 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-hunyuanprover-scalable-data-synthesis/)
3. [**ConPET: Continual Parameter-Efficient Tuning for Large Language Models arXiv:2309.14763**Chenyang Song, Xu Han, Zheni Zeng, et al.*2023 · 14 citations*](https://md.research.elamur.ai/free/en/papers/song-2023-conpet-continual-parameter-efficient-tuning/)

## Co-authors here

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

- [Chen Chen](https://md.research.elamur.ai/free/en/authors/chen-chen/)
- [Chen Li](https://md.research.elamur.ai/free/en/authors/chen-li/)
- [Dong Du](https://md.research.elamur.ai/free/en/authors/dong-du/)
- [Haitao Mi](https://md.research.elamur.ai/free/en/authors/haitao-mi/)
- [Linfeng Song](https://md.research.elamur.ai/free/en/authors/linfeng-song/)
- [Maosong Sun](https://md.research.elamur.ai/free/en/authors/maosong-sun/)
- [Weikang Wang](https://md.research.elamur.ai/free/en/authors/weikang-wang/)
- [Xu Han](https://md.research.elamur.ai/free/en/authors/xu-han/)
- [Yang Li](https://md.research.elamur.ai/free/en/authors/yang-li/)
- [Zheni Zeng](https://md.research.elamur.ai/free/en/authors/zheni-zeng/)
- [Zhiyuan Liu](https://md.research.elamur.ai/free/en/authors/zhiyuan-liu/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- Nature

## Cited by

Papers of our library cite their works 37 times (of the 149,439 papers whose bibliographies we read); [8 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/tao-yang/cited-by/).

Updated 2 November 2026
