---
title: "Ting Zhang · Monash University — author profile and papers"
description: "Ting Zhang, Monash University: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/ting-zhang/"
---
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# Ting Zhang

Ting Zhang 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/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Guixian Xu](https://md.research.elamur.ai/free/en/authors/guixian-xu/), [Mingzhe Du](https://md.research.elamur.ai/free/en/authors/mingzhe-du/), [Xin Zhou](https://md.research.elamur.ai/free/en/authors/xin-zhou/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139750523) · [**h-index 1**](https://openalex.org/authors/A5139750523) · [4 works](https://openalex.org/works?filter=author.id:A5139750523) · [1 citations](https://openalex.org/works?filter=author.id:A5139750523&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ting-zhang/#papers) · [⭐ Paper Stars ranking: #13163](https://md.research.elamur.ai/free/en/paper-stars/page/132/#star-13163)

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

## Affiliations

[🎓**Monash University** Melbourne · Australia 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/monash-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).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 3 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/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[SeCuRepair: Semantics-Aligned, Curriculum-Driven, and Reasoning-Enhanced Vulnerability Repair Framework](https://md.research.elamur.ai/free/en/papers/yang-2026-securepair-semantics-aligned-curriculum-driven/)** *(2026 · 1 citation)* SeCuRepair targets automated vulnerability repair (AVR) for C/C++ functions. The authors argue that supervised fine-tuning (SFT) teaches models to copy one reference patch. Valid fixes that are written differently get penalised, so models latch onto surface cues such as variable names. Their alternative is a…
2. **[FTibSuite: A Comprehensive Resource Suite for Tibetan Vision–Language Modeling](https://md.research.elamur.ai/free/en/papers/xu-2026-ftibsuite-comprehensive-resource-suite-tibetan/)** *(2026)* Tibetan has been largely left out of recent progress in vision–language models. It lacks image–text data, multimodal instruction sets and standardized benchmarks, so Tibetan VLM results are hard to reproduce or compare. The authors address this with FTibSuite, which has three parts:

## Co-authors here

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

- [Guixian Xu](https://md.research.elamur.ai/free/en/authors/guixian-xu/)
- [Mingzhe Du](https://md.research.elamur.ai/free/en/authors/mingzhe-du/)
- [Xin Zhou](https://md.research.elamur.ai/free/en/authors/xin-zhou/)
- [Xu Han](https://md.research.elamur.ai/free/en/authors/xu-han/)
- [Xuexian Song](https://md.research.elamur.ai/free/en/authors/xuexian-song/)
- [Zeli Su](https://md.research.elamur.ai/free/en/authors/zeli-su/)
- [Ziyin Zhang](https://md.research.elamur.ai/free/en/authors/ziyin-zhang/)

## 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/)

Updated 2 November 2026
