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Xiao-Yuan Jing

Xiao-Yuan Jing

D-Index & Metrics

Computer Science

D-Index
46
Citations
7952
World Ranking
6883
National Ranking
920

Overview

Xiao-Yuan Jing is affiliated with Wuhan University in China and has contributed extensively to research in the field of computer science, with a focus on areas such as computer vision and pattern recognition, artificial intelligence, and information systems. Their work spans multiple subfields including software and biomedical engineering.

The scientist has published prominently in venues that include:

  • Pattern Recognition
  • Neurocomputing
  • IEEE Access
  • Knowledge-Based Systems
  • arXiv (Cornell University)

Frequent collaborators include Fei Wu, Yimu Ji, Changhui Hu, Ziyun Cai, and Xiaoke Zhu, reflecting a pattern of sustained joint research efforts.

Some of the main topics addressed in their research are:

  • Software Engineering Research
  • Domain Adaptation and Few-Shot Learning
  • Video Surveillance and Tracking Methods
  • Multimodal Machine Learning Applications
  • Software Reliability and Analysis Research
  • Human Pose and Action Recognition
  • Face and Expression Recognition

Selected recent papers include:

  • DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Semi-Supervised Multi-View Deep Discriminant Representation Learning (2020), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Modality-specific and shared generative adversarial network for cross-modal retrieval (2020), featured in Pattern Recognition
  • Adaptive deformable convolutional network (2020), published in Neurocomputing
  • Semi-supervised multi-view graph convolutional networks with application to webpage classification (2022), appearing in Information Sciences

The work of Xiao-Yuan Jing reflects a broad engagement with technological and methodological challenges in computer science, particularly in leveraging machine learning techniques across multiple modalities and applications. Their research output contributes to foundational and applied studies within software engineering, artificial intelligence, and computer vision domains.

Best Publications

  • DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis

    Unknown

  • A face and palmprint recognition approach based on discriminant DCT feature extraction

    Xiao-Yuan Jing;D. Zhang

  • Super-resolution Person re-identification with semi-coupled low-rank discriminant dictionary learning

    Xiao-Yuan Jing;Xiaoke Zhu;Fei Wu;Xinge You

  • Progress on approaches to software defect prediction

    Zhiqiang Li;Xiao-Yuan Jing;Xiao-Yuan Jing;Xiaoke Zhu;Xiaoke Zhu

  • Dictionary learning based software defect prediction

    Xiao-Yuan Jing;Shi Ying;Zhi-Wu Zhang;Shan-Shan Wu

  • Heterogeneous cross-company defect prediction by unified metric representation and CCA-based transfer learning

    Xiaoyuan Jing;Fei Wu;Xiwei Dong;Fumin Qi

  • Face and palmprint pixel level fusion and Kernel DCV-RBF classifier for small sample biometric recognition

    Xiao-Yuan Jing;Yong-Fang Yao;David Zhang;Jing-Yu Yang

  • An Improved SDA Based Defect Prediction Framework for Both Within-Project and Cross-Project Class-Imbalance Problems

    Xiao-Yuan Jing;Fei Wu;Xiwei Dong;Baowen Xu

  • Letters: Face and palmprint feature level fusion for single sample biometrics recognition

    Yong-Fang Yao;Xiao-Yuan Jing;Hau-San Wong

  • Semi-Supervised Multi-View Deep Discriminant Representation Learning

    Xiaodong Jia;Xiao-Yuan Jing;Xiaoke Zhu;Songcan Chen

  • Video-Based Person Re-Identification by Simultaneously Learning Intra-Video and Inter-Video Distance Metrics

    Xiaoke Zhu;Xiao-Yuan Jing;Xinge You;Xinyu Zhang

  • Multi-view low-rank dictionary learning for image classification

    Fei Wu;Xiao-Yuan Jing;Xinge You;Dong Yue

  • Multiple kernel ensemble learning for software defect prediction

    Tiejian Wang;Zhiwu Zhang;Xiaoyuan Jing;Liqiang Zhang

  • Cross-Project and Within-Project Semisupervised Software Defect Prediction: A Unified Approach

    Fei Wu;Xiao-Yuan Jing;Ying Sun;Jing Sun

  • Rapid and brief communication: Face recognition based on 2D Fisherface approach

    Xiao-Yuan Jing;Hau-San Wong;David Zhang

  • Label propagation based semi-supervised learning for software defect prediction

    Zhi-Wu Zhang;Xiao-Yuan Jing;Tie-Jian Wang

  • Multiset Feature Learning for Highly Imbalanced Data Classification

    Xiao-Yuan Jing;Xinyu Zhang;Xiaoke Zhu;Fei Wu

  • Cost-sensitive transfer kernel canonical correlation analysis for heterogeneous defect prediction

    Zhiqiang Li;Xiao-Yuan Jing;Xiao-Yuan Jing;Fei Wu;Xiaoke Zhu;Xiaoke Zhu

  • Learning robust and discriminative low-rank representations for face recognition with occlusion

    Guangwei Gao;Jian Yang;Xiao-Yuan Jing;Fumin Shen

  • DF-GAN: Deep Fusion Generative Adversarial Networks for Text-to-Image Synthesis

    Ming Tao;Hao Tang;Songsong Wu;Nicu Sebe

  • Video-based person re-identification by simultaneously learning intra-video and inter-video distance metrics

    Xiaoke Zhu;Xiao-Yuan Jing;Fei Wu;Hui Feng

  • Principle Component Analysis

    David Zhang;Xiao-Yuan Jing;Jian Yang

Frequent Co-Authors

Fei Wu
Fei Wu Zhejiang University
David Zhang
David Zhang Chinese University of Hong Kong, Shenzhen
Jingyu Yang
Jingyu Yang Nanjing University of Science and Technology
Sheng Li
Sheng Li University of Virginia
Xinge You
Xinge You Huazhong University of Science and Technology
Dong Yue
Dong Yue Nanjing University of Posts and Telecommunications
Baowen Xu
Baowen Xu Nanjing University
Hongyu Zhang
Hongyu Zhang Chongqing University
Pan Liu
Pan Liu Southeast University
C. L. Philip Chen
C. L. Philip Chen South China University of Technology

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