---
title: "Chang Xu · The University of Sydney — author profile and papers"
description: "Chang Xu, The University of Sydney: 2 papers on Elamur Research (2018–2023), h-index 62 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/chang-xu/"
---
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# Chang Xu

Chang Xu has 2 papers in our library, in 2018–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Cecile Paris](https://md.research.elamur.ai/free/en/authors/cecile-paris/), [Chen Qian](https://md.research.elamur.ai/free/en/authors/chen-qian/), [Fei Wang](https://md.research.elamur.ai/free/en/authors/fei-wang/).

2 papers in our library · 2018–2023

[OpenAlex](https://openalex.org/A5001529504) · [ORCID](https://orcid.org/0000-0002-4756-0609) · [**h-index 62**](https://openalex.org/authors/A5001529504) · [398 works](https://openalex.org/works?filter=author.id:A5001529504) · [21,912 citations](https://openalex.org/works?filter=author.id:A5001529504&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/chang-xu/#papers) · [🔗 Cited 165 times in our library](https://md.research.elamur.ai/free/en/authors/chang-xu/cited-by/) · [8 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6693](https://md.research.elamur.ai/free/en/paper-stars/page/67/#star-6693)

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

## Affiliations

[🎓**The University of Sydney** Sydney · Australia 2017–2026 · 234 papersEmployment since 2017 · School of Information Technologies*current*](https://md.research.elamur.ai/free/en/universities/the-university-of-sydney/) · [🏢**Guizhou Power Grid Co., Ltd.** Guiyang · China 2025–2026 · 3 papers*current*](https://ror.org/04n5vvh78) · [🏛️**Chinese Academy of Sciences** Beijing · China 2021–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2021–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🔬**Institute of High Energy Physics** Beijing · China 2026 · 1 paper*current*](https://ror.org/03v8tnc06) · [🎓**Peking University** Beijing · China 2011–2023 · 60 papersEducation 2011–2016 · PhD Degree, School of Electrical Engineering and Computer Sciences](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🏢**Huawei Technologies** Shenzhen · China 2019–2022 · 27 papers](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) · [🎓**Nanyang Technological University** Singapore · Singapore 2013–2020 · 12 papers](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/) · [🎓**University of Technology Sydney** Sydney · Australia 2014–2019 · 12 papersEmployment 2016–2017 · Lecturer, Faculty of Engineering and Information Technology](https://md.research.elamur.ai/free/en/universities/university-of-technology-sydney/) · [🎓**Zhejiang University** Hangzhou · China 2010–2023 · 7 papers](https://md.research.elamur.ai/free/en/universities/zhejiang-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 46 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/) · [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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

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

## Works by year

### 2020s

[**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/chang-xu/year/2023/)

### 2010s

[**2018** 1 paper](https://md.research.elamur.ai/free/en/authors/chang-xu/year/2018/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Cross-Target Stance Classification with Self-Attention Networks](https://md.research.elamur.ai/free/en/papers/xu-2018-cross-target-stance-classification-self/)** *(2018 · 166 citations)* Stance classifiers are usually trained and tested on a single target. This means every new topic needs its own annotated data. Xu et al. (CSIRO Data61) study cross-target stance classification instead: a model trained on one target is reused for a different but thematically related target. They propose CrossNet. It…
2. **[Can GPT-4 Perform Neural Architecture Search?](https://md.research.elamur.ai/free/en/papers/zheng-2023-gpt-4-perform-neural-architecture/)** *(2023 · 38 citations)* The authors ask whether GPT-4, used without any fine-tuning, can help with Neural Architecture Search (NAS), a task that usually requires substantial expert knowledge.

## All works

10 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. **[CMT: Convolutional Neural Networks Meet Vision Transformers ↗](https://doi.org/10.1109/cvpr52688.2022.01186) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jianyuan Guo et al.*2022 · 969 citations*
2. **[Data-Free Learning of Student Networks ↗](https://doi.org/10.1109/iccv.2019.00361) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Hanting Chen et al.*2019 · 357 citations*
3. **[SimMatch: Semi-supervised Learning with Similarity Matching ↗](https://doi.org/10.1109/cvpr52688.2022.01407) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Mingkai Zheng et al.*2022 · 256 citations*
4. **[Self-Supervised Representation Learning by Rotation Feature Decoupling ↗](https://doi.org/10.1109/cvpr.2019.01061) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Zeyu Feng, Chang Xu, Dacheng Tao*2019 · 218 citations*
5. **[Patch Slimming for Efficient Vision Transformers ↗](https://doi.org/10.1109/cvpr52688.2022.01185) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yehui Tang et al.*2022 · 204 citations*
6. **[Cross-Target Stance Classification with Self-Attention Networks](https://md.research.elamur.ai/free/en/papers/xu-2018-cross-target-stance-classification-self/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chang Xu, Cecile Paris, Surya Nepal, et al.*2018 · 166 citations*
7. **[CNNpack: packing convolutional neural networks in the frequency domain ↗](https://openalex.org/W2554242204) neural information processing systems · no summary yet**Yunhe Wang et al.*2016 · 151 citations*
8. **[Image-Question-Answer Synergistic Network for Visual Dialog ↗](https://doi.org/10.1109/cvpr.2019.01068) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Dalu Guo, Chang Xu, Dacheng Tao*2019 · 90 citations*
9. **[Learning Frequency-aware Dynamic Network for Efficient Super-Resolution ↗](https://doi.org/10.1109/iccv48922.2021.00427) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Wenbin Xie et al.*2021 · 73 citations*
10. [**Can GPT-4 Perform Neural Architecture Search? arXiv:2304.10970**Mingkai Zheng, Xiu Su, Shan You, et al.*2023 · 38 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2023-gpt-4-perform-neural-architecture/)

## Co-authors here

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

- [Cecile Paris](https://md.research.elamur.ai/free/en/authors/cecile-paris/)
- [Chen Qian](https://md.research.elamur.ai/free/en/authors/chen-qian/)
- [Fei Wang](https://md.research.elamur.ai/free/en/authors/fei-wang/)
- [Samuel Albanie](https://md.research.elamur.ai/free/en/authors/samuel-albanie/)

## Venues

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

- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×5
- IEEE/CVF International Conference on Computer Vision (ICCV) ×2
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2018](https://md.research.elamur.ai/free/en/venues/acl/2018/)
- neural information processing systems

## Cited by

Papers of our library cite their works 165 times (of the 149,439 papers whose bibliographies we read); [28 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chang-xu/cited-by/).

Updated 3 November 2026
