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Haozheng Zhang

Durham University
PhD
, 2020 - Present

Durham University
, United Kingdom
  • Research topic: Human data modelling with deep learning for disease diagnosis

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Publications with the Team

Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI
Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI      
Proceedings of the 2023 International Conference on Neural Information Processing (ICONIP), 2023
Xiatian Zhang, Sisi Zheng, Hubert P. H. Shum, Haozheng Zhang, Nan Song, Mingkang Song and Hongxiao Jia
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Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models
Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models      
Proceedings of the 2023 International Conference on Computer Graphics Theory and Applications (GRAPP), 2023
Ziyi Chang, Edmund J. C. Findlay, Haozheng Zhang and Hubert P. H. Shum
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CP-AGCN: Pytorch-Based Attention Informed Graph Convolutional Network for Identifying Infants at Risk of Cerebral Palsy
CP-AGCN: Pytorch-Based Attention Informed Graph Convolutional Network for Identifying Infants at Risk of Cerebral Palsy  Impact Factor: 2.100†    
Software Impacts (SIMPAC), 2022
Haozheng Zhang, Edmond S. L. Ho and Hubert P. H. Shum
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Pose-Based Tremor Classification for Parkinson’s Disease Diagnosis from Video
Pose-Based Tremor Classification for Parkinson’s Disease Diagnosis from Video Core A Conference‡   H5-Index: 89# Core A Conference‡ 
Proceedings of the 2022 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022
Haozheng Zhang, Edmond S. L. Ho, Xiatian Zhang and Hubert P. H. Shum
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Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks
Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks  Oral Presentation     
Proceedings of the 2022 International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022
Haozheng Zhang, Hubert P. H. Shum and Edmond S. L. Ho
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Denoising Diffusion Probabilistic Models for Styled Walking Synthesis
Denoising Diffusion Probabilistic Models for Styled Walking Synthesis      
Proceedings of the 2022 ACM SIGGRAPH Conference on Motion, Interaction and Games (MIG) Posters, 2022
Edmund J. C. Findlay, Haozheng Zhang, Ziyi Chang and Hubert P. H. Shum
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Last updated on 22 November 2023
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