World's Best Scientists 2026 revealed!
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Rising Stars
2025

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Rising Stars

D-Index
57
Citations
13685
World Ranking
191
National Ranking
11

Computer Science

D-Index
69
Citations
19703
World Ranking
1971
National Ranking
60

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Xiaojun Chang is affiliated with the University of Technology Sydney in Australia and has a significant publication record in the field of computer science, primarily focusing on areas within artificial intelligence and computer vision.

Their research contributions span several prominent topics, including:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Human Pose and Action Recognition
  • Video Surveillance and Tracking Methods
  • Advanced Image and Video Retrieval Techniques
  • Anomaly Detection Techniques and Applications

Frequent publication venues for Xiaojun Chang feature journals and conferences known for their focus on computer vision, image processing, and pattern analysis:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Image Processing
  • Knowledge-Based Systems

Xiaojun Chang has coauthored papers with several researchers repeatedly, indicating ongoing collaborative relationships. Frequent coauthors include:

  • Xiaodan Liang
  • Minnan Luo
  • Lina Yao
  • Zhihui Li
  • Qinghua Zheng

Highlighted recent publications demonstrate engagement with topics in scene understanding and neural architecture search:

  • A Comprehensive Survey of Scene Graphs: Generation and Application (2021), IEEE Transactions on Pattern Analysis and Machine Intelligence
  • A Survey of Deep Active Learning (2021), ACM Computing Surveys (Authored by Pengzhen Ren)
  • A Comprehensive Survey of Neural Architecture Search (2021), ACM Computing Surveys (Authored by Pengzhen Ren)
  • Self-Supervised Deep Correlation Tracking (2020), IEEE Transactions on Image Processing (Authored by Di Yuan)
  • Hierarchical Neural Architecture Search for Deep Stereo Matching (2020), arXiv (Cornell University) (Authored by Xuelian Cheng)

In addition to journal and conference publications, Xiaojun Chang has contributed to book literature with a publication through Morgan & Claypool Publishers titled Graph Learning for Fashion Compatibility Modeling (2022).

Their primary fields of study include computer science with a focus on subfields such as:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Signal Processing
  • Molecular Biology
  • Radiology, Nuclear Medicine and Imaging

Best Publications

  • Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks

    Zonghan Wu;Shirui Pan;Guodong Long;Jing Jiang

  • A Survey of Deep Active Learning

    Unknown

  • A Comprehensive Survey of Neural Architecture Search

    Unknown

  • Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization

    Yi Yang;Zhigang Ma;Feiping Nie;Xiaojun Chang

  • Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition

    Dalin Zhang;Lina Yao;Kaixuan Chen;Sen Wang

  • A Comprehensive Survey of Scene Graphs: Generation and Application

    Unknown

  • A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition

    Kaixuan Chen;Lina Yao;Dalin Zhang;Xianzhi Wang

  • Semantic Pooling for Complex Event Analysis in Untrimmed Videos

    Xiaojun Chang;Yao-Liang Yu;Yi Yang;Eric P. Xing

  • An Adaptive Semisupervised Feature Analysis for Video Semantic Recognition

    Minnan Luo;Xiaojun Chang;Liqiang Nie;Yi Yang

  • A convex formulation for semi-supervised multi-label feature selection

    Xiaojun Chang;Feiping Nie;Yi Yang;Heng Huang

  • Self-Supervised Deep Correlation Tracking

    Di Yuan;Xiaojun Chang;Po-Yao Huang;Qiao Liu

  • Semisupervised Feature Analysis by Mining Correlations Among Multiple Tasks

    Xiaojun Chang;Yi Yang

  • Rank-Constrained Spectral Clustering With Flexible Embedding

    Zhihui Li;Feiping Nie;Xiaojun Chang;Liqiang Nie

  • Dynamic Affinity Graph Construction for Spectral Clustering Using Multiple Features

    Zhihui Li;Feiping Nie;Xiaojun Chang;Yi Yang

  • Bi-Level Semantic Representation Analysis for Multimedia Event Detection

    Xiaojun Chang;Zhigang Ma;Yi Yang;Zhiqiang Zeng

  • Adaptive Unsupervised Feature Selection With Structure Regularization

    Minnan Luo;Feiping Nie;Xiaojun Chang;Yi Yang

  • Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks

    Fengda Zhu;Yi Zhu;Xiaojun Chang;Xiaodan Liang

  • Compound Rank- $k$ Projections for Bilinear Analysis

    Xiaojun Chang;Feiping Nie;Sen Wang;Yi Yang

  • Feature Interaction Augmented Sparse Learning for Fast Kinect Motion Detection

    Xiaojun Chang;Zhigang Ma;Ming Lin;Yi Yang

  • Hierarchical Neural Architecture Search for Deep Stereo Matching

    Xuelian Cheng;Yiran Zhong;Mehrtash Harandi;Yuchao Dai

  • Beyond Trace Ratio: Weighted Harmonic Mean of Trace Ratios for Multiclass Discriminant Analysis

    Zhihui Li;Feiping Nie;Xiaojun Chang;Yi Yang

  • Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation

    Changlin Li;Jiefeng Peng;Liuchun Yuan;Guangrun Wang

  • Person Reidentification via Multi-Feature Fusion With Adaptive Graph Learning

    Runwu Zhou;Xiaojun Chang;Lei Shi;Yi-Dong Shen

  • Fast and Orthogonal Locality Preserving Projections for Dimensionality Reduction

    Rong Wang;Feiping Nie;Richang Hong;Xiaojun Chang

  • Revealing Event Saliency in Unconstrained Video Collection

    Dingwen Zhang;Junwei Han;Lu Jiang;Senmao Ye

  • Unsupervised Domain Adaptive Graph Convolutional Networks

    Man Wu;Shirui Pan;Chuan Zhou;Xiaojun Chang

  • MMALFM: Explainable Recommendation by Leveraging Reviews and Images

    Zhiyong Cheng;Xiaojun Chang;Lei Zhu;Rose C. Kanjirathinkal

Frequent Co-Authors

Alexander G. Hauptmann
Alexander G. Hauptmann Carnegie Mellon University
Feiping Nie
Feiping Nie Northwestern Polytechnical University
Qinghua Zheng
Qinghua Zheng Xi'an Jiaotong University
Xue Li
Xue Li University of Queensland
Quan Z. Sheng
Quan Z. Sheng Macquarie University
Lina Yao
Lina Yao Commonwealth Scientific and Industrial Research Organisation
Liqiang Nie
Liqiang Nie Shandong University
Chengqi Zhang
Chengqi Zhang Hong Kong Polytechnic University
Heng Huang
Heng Huang University of Pittsburgh
Eric P. Xing
Eric P. Xing Mohamed bin Zayed University of Artificial Intelligence

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