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Chang Xu

Chang Xu has 2 papers in our library, in 2018–2023, most of them on Language models & pretraining; often with Cecile Paris, Chen Qian, Fei Wang.

2 papers in our library · 2018–2023

OpenAlex · ORCID · h-index 62 · 398 works · 21,912 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 165 times in our library · 8 more in our library without a page yet · ⭐ Paper Stars ranking: #6693

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓The University of SydneySydney · Australia2017–2026 · 234 papersEmployment since 2017 · School of Information Technologiescurrent🏢Guizhou Power Grid Co., Ltd.Guiyang · China2025–2026 · 3 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2021–2026 · 2 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2021–2026 · 2 paperscurrent🔬Institute of High Energy PhysicsBeijing · China2026 · 1 papercurrent🎓Peking UniversityBeijing · China2011–2023 · 60 papersEducation 2011–2016 · PhD Degree, School of Electrical Engineering and Computer Sciences🏢Huawei TechnologiesShenzhen · China2019–2022 · 27 papers🎓Nanyang Technological UniversitySingapore · Singapore2013–2020 · 12 papers🎓University of Technology SydneySydney · Australia2014–2019 · 12 papersEmployment 2016–2017 · Lecturer, Faculty of Engineering and Information Technology🎓Zhejiang UniversityHangzhou · China2010–2023 · 7 papers

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 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20231 paper

2010s

20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Cross-Target Stance Classification with Self-Attention Networks (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? (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 ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJianyuan Guo et al.2022 · 969 citations
  2. Data-Free Learning of Student Networks ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetHanting Chen et al.2019 · 357 citations
  3. SimMatch: Semi-supervised Learning with Similarity Matching ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMingkai Zheng et al.2022 · 256 citations
  4. Self-Supervised Representation Learning by Rotation Feature Decoupling ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZeyu Feng, Chang Xu, Dacheng Tao2019 · 218 citations
  5. Patch Slimming for Efficient Vision Transformers ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYehui Tang et al.2022 · 204 citations
  6. Cross-Target Stance Classification with Self-Attention NetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Chang Xu, Cecile Paris, Surya Nepal, et al.2018 · 166 citations
  7. CNNpack: packing convolutional neural networks in the frequency domain ↗neural information processing systems · no summary yetYunhe Wang et al.2016 · 151 citations
  8. Image-Question-Answer Synergistic Network for Visual Dialog ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetDalu Guo, Chang Xu, Dacheng Tao2019 · 90 citations
  9. Learning Frequency-aware Dynamic Network for Efficient Super-Resolution ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetWenbin Xie et al.2021 · 73 citations
  10. Can GPT-4 Perform Neural Architecture Search?arXiv:2304.10970Mingkai Zheng, Xiu Su, Shan You, et al.2023 · 38 citations

 Co-authors here

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

Venues

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

 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 →.

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