2026 Chang Xu: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	55	4208	4091	123	122	206	18150

Overview

Chang Xu is a researcher affiliated with the University of Sydney in Australia, with a focus on the field of computer science and its related subfields. Their body of work centers around areas such as computer vision, artificial intelligence, and electrical and electronic engineering, contributing extensively to academic literature in these domains.

Their main fields of study include:

Computer Vision and Pattern Recognition
Artificial Intelligence
Electrical and Electronic Engineering
Media Technology
Signal Processing

Chang Xu's research also spans several specialized topics that relate to contemporary challenges and technologies in machine learning and image processing. Prominent themes in their work include:

Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Advanced Image and Video Retrieval Techniques
Adversarial Robustness in Machine Learning
Generative Adversarial Networks and Image Synthesis
Multimodal Machine Learning Applications
Anomaly Detection Techniques and Applications

Their recent publications highlight contributions to the development of neural architectures and applications in computer vision. Notable papers include:

"CMT: Convolutional Neural Networks Meet Vision Transformers" (2022), published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
"GhostNetV2: Enhance Cheap Operation with Long-Range Attention" (2022), published on arXiv (Cornell University)
"SimMatch: Semi-supervised Learning with Similarity Matching" (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
"Vision transformer-based autonomous crack detection on asphalt and concrete surfaces" (2022), published in Automation in Construction
"GhostNets on Heterogeneous Devices via Cheap Operations" (2022), published in the International Journal of Computer Vision

Chang Xu frequently publishes in venues that are prominent in the field of artificial intelligence and computer vision, including:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
SSRN Electronic Journal

The researcher has collaborated extensively with other scholars. Frequent co-authors include:

Yunhe Wang
Shan You
Yehui Tang
Chunjing Xu
Minjing Dong

Best Publications

GhostNet: More Features From Cheap Operations

Kai Han;Yunhe Wang;Qi Tian;Jianyuan Guo

4116
Citations
Pre-Trained Image Processing Transformer

Hanting Chen;Yunhe Wang;Tianyu Guo;Chang Xu

1961
Citations
A Survey on Multi-view Learning

Chang Xu;Dacheng Tao;Chao Xu

1259
Citations
STRIP: a defence against trojan attacks on deep neural networks

Yansong Gao;Change Xu;Derui Wang;Shiping Chen

727
Citations
Multi-View Intact Space Learning

Chang Xu;Dacheng Tao;Chao Xu

410
Citations
Perceptual Adversarial Networks for Image-to-Image Transformation.

Chaoyue Wang;Chang Xu;Chaohui Wang;Dacheng Tao

385
Citations
Learning from Multiple Teacher Networks

Shan You;Chang Xu;Chao Xu;Dacheng Tao

372
Citations
Data-Free Learning of Student Networks

Hanting Chen;Yunhe Wang;Chang Xu;Zhaohui Yang

353
Citations
Evolutionary Generative Adversarial Networks

Chaoyue Wang;Chang Xu;Xin Yao;Dacheng Tao

347
Citations
Multi-Task Pose-Invariant Face Recognition

Changxing Ding;Chang Xu;Dacheng Tao

296
Citations
CARS: Continuous Evolution for Efficient Neural Architecture Search

Zhaohui Yang;Yunhe Wang;Xinghao Chen;Boxin Shi

274
Citations
Large-Margin Multi-ViewInformation Bottleneck

Chang Xu;Dacheng Tao;Chao Xu

271
Citations
Distilling Object Detectors via Decoupled Features

Jianyuan Guo;Kai Han;Yunhe Wang;Han Wu

262
Citations
Multi-View Learning With Incomplete Views

Chang Xu;Dacheng Tao;Chao Xu

250
Citations
Self-Supervised Representation Learning by Rotation Feature Decoupling

Zeyu Feng;Chang Xu;Dacheng Tao

224
Citations
Graph Edge Convolutional Neural Networks for Skeleton-Based Action Recognition

Xikun Zhang;Chang Xu;Xinmei Tian;Dacheng Tao

191
Citations
Attention-GAN for Object Transfiguration in Wild Images

Xinyuan Chen;Chang Xu;Xiaokang Yang;Dacheng Tao

190
Citations
AdderNet: Do We Really Need Multiplications in Deep Learning?

Hanting Chen;Yunhe Wang;Chunjing Xu;Boxin Shi

189
Citations
Context Aware Graph Convolution for Skeleton-Based Action Recognition

Xikun Zhang;Chang Xu;Dacheng Tao

188
Citations
CNNpack: packing convolutional neural networks in the frequency domain

Yunhe Wang;Chang Xu;Shan You;Dacheng Tao

180
Citations
Uncovering collusive spammers in Chinese review websites

Chang Xu;Jie Zhang;Kuiyu Chang;Chong Long

176
Citations
Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification

Yong Luo;Dacheng Tao;Chang Xu;Chao Xu

163
Citations

Frequent Co-Authors

Dacheng Tao Nanyang Technological University

Chao Xu Peking University

Boxin Shi Peking University

Changshui Zhang Tsinghua University

Qi Tian Huawei Technologies (China)

Bo Du Wuhan University

Surya Nepal Commonwealth Scientific and Industrial Research Organisation

Trevor Cohn University of Melbourne

Cécile Paris Commonwealth Scientific and Industrial Research Organisation

Jie Zhang Nanyang Technological University

External Links

Personal website of Chang Xu Google Scholar page

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