World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
11859
World Ranking
5808
National Ranking
223

Overview

Z. Jane Wang is affiliated with the University of British Columbia in Canada and has an extensive record of research contributions primarily in the fields of Computer Science and Engineering. Their work spans multiple subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Aerospace Engineering, and Media Technology.

The scientist's recent publications demonstrate a focus on advanced imaging, deep learning frameworks, and their applications in both biomedical and industrial contexts. Notable recent papers include:

  • "An End-to-End Multi-Task Deep Learning Framework for Skin Lesion Analysis," 2020, published in IEEE Journal of Biomedical and Health Informatics
  • "Knowledge-Based Fault Diagnosis in Industrial Internet of Things: A Survey," 2022, published in IEEE Internet of Things Journal
  • "SSD-KD: A self-supervised diverse knowledge distillation method for lightweight skin lesion classification using dermoscopic images," 2022, published in Medical Image Analysis
  • "Multi-view 3D Reconstruction with Transformers," 2021, presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "RGGNet: Tolerance Aware LiDAR-Camera Online Calibration With Geometric Deep Learning and Generative Model," 2020, published by IEEE Robotics and Automation Letters

The scientist has also collaborated frequently with several coauthors, indicating active and ongoing research partnerships. These coauthors include Chen He, Rabab Ward, Martin J. McKeown, Xun Chen, and Jianzhe Lin.

Publication venues where Z. Jane Wang regularly contributes include highly regarded journals and platforms such as arXiv (Cornell University), SSRN Electronic Journal, IEEE Internet of Things Journal, IEEE Transactions on Geoscience and Remote Sensing, and Neurocomputing.

The scientist's research topics reflect a broad range of interests centered on image analysis, AI applications, and technical innovations in sensing and diagnosis. Key topics covered in their work are:

  • Remote-Sensing Image Classification
  • Domain Adaptation and Few-Shot Learning
  • Anomaly Detection Techniques and Applications
  • Human Pose and Action Recognition
  • Advanced Vision and Imaging
  • Energy Harvesting in Wireless Networks
  • AI in cancer detection

Best Publications

  • Image Fusion With Convolutional Sparse Representation

    Yu Liu;Xun Chen;Rabab K. Ward;Z. Jane Wang

  • Deep learning for pixel-level image fusion: Recent advances and future prospects

    Yu Liu;Xun Chen;Xun Chen;Zengfu Wang;Z. Jane Wang

  • A CNN Regression Approach for Real-Time 2D/3D Registration

    Shun Miao;Z. Jane Wang;Rui Liao

  • Median Filtering Forensics Based on Convolutional Neural Networks

    Jiansheng Chen;Xiangui Kang;Ye Liu;Z. Jane Wang

  • 3D CNN Based Automatic Diagnosis of Attention Deficit Hyperactivity Disorder Using Functional and Structural MRI

    Liang Zou;Jiannan Zheng;Chunyan Miao;Martin J. Mckeown

  • Medical Image Fusion via Convolutional Sparsity Based Morphological Component Analysis

    Yu Liu;Xun Chen;Rabab K. Ward;Z. Jane Wang

  • Novel Tactile Sensor Technology and Smart Tactile Sensing Systems: A Review.

    Liang Zou;Chang Ge;Z. Jane Wang;Edmond Cretu

  • Optimized deep neural network architecture for robust detection of epileptic seizures using EEG signals.

    Ramy Hussein;Hamid Palangi;Rabab K. Ward;Z. Jane Wang

  • Anti-collusion forensics of multimedia fingerprinting using orthogonal modulation

    Z.J. Wang;Min Wu;H.V. Zhao;W. Trappe

  • Video-Based Heart Rate Measurement: Recent Advances and Future Prospects

    Xun Chen;Juan Cheng;Rencheng Song;Yu Liu

  • Pattern recognition of number gestures based on a wireless surface EMG system

    Xun Chen;Z. Jane Wang

  • Home Appliance Load Modeling From Aggregated Smart Meter Data

    Zhenyu Guo;Z. Jane Wang;Ali Kashani

  • The Use of Multivariate EMD and CCA for Denoising Muscle Artifacts From Few-Channel EEG Recordings

    Xun Chen;Xueyuan Xu;Aiping Liu;Martin J. McKeown

  • Multi-view 3D Reconstruction with Transformers

    Unknown

  • Multimedia Fingerprinting Forensics for Traitor Tracing

    K. J. Ray Liu;Wade Trappe;Z. Jane Wang;Min Wu

  • Classification of EEG signals using a multiple kernel learning support vector machine.

    Xiaoou Li;Xun Chen;Yuning Yan;Wenshi Wei

  • An End-to-End Multi-Task Deep Learning Framework for Skin Lesion Analysis

    Lei Song;Jianzhe Lin;Z. Jane Wang;Haoqian Wang

  • Removing Muscle Artifacts From EEG Data: Multichannel or Single-Channel Techniques?

    Xun Chen;Aiping Liu;Joyce Chiang;Z. Jane Wang

  • Group-oriented fingerprinting for multimedia forensics

    Z. Jane Wang;Min Wu;Wade Trappe;K. J. R. Liu

  • Removal of Muscle Artifacts From the EEG: A Review and Recommendations

    Xun Chen;Xueyuan Xu;Aiping Liu;Soojin Lee

  • Real-time 2D/3D registration via CNN regression

    Shun Miao;Z. Jane Wang;Yefeng Zheng;Rui Liao

  • Incomplete multi-view clustering via deep semantic mapping

    Liang Zhao;Liang Zhao;Zhikui Chen;Yi Yang;Yi Yang;Z. Jane Wang

Frequent Co-Authors

Martin J. McKeown
Martin J. McKeown University of British Columbia
Xun Chen
Xun Chen University of Science and Technology of China
Rabab K. Ward
Rabab K. Ward University of British Columbia
Yu Liu
Yu Liu Clarkson University
Victor C. M. Leung
Victor C. M. Leung Shenzhen University
Guy A. Dumont
Guy A. Dumont University of British Columbia
Wade Trappe
Wade Trappe Rutgers, The State University of New Jersey
Saurabh Kumar Garg
Saurabh Kumar Garg University of Tasmania
K.J.R. Liu
K.J.R. Liu University of Maryland, College Park
Lichao Mou
Lichao Mou Technical University of Munich

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