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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Grants Involved

Publications with the Team

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
Webpage Paper Github YouTube Cite BibTeX Cite RIS Cite Plain
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
Software Impacts (SIMPAC), 2022
Haozheng Zhang, Edmond S. L. Ho and Hubert P. H. Shum
Webpage Paper CodeOcean Github Cite BibTeX Cite RIS Cite Plain
Pose-based Tremor Classification for Parkinson’s Disease Diagnosis from Video
Pose-based Tremor Classification for Parkinson’s Disease Diagnosis from Video Citation: 3##
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 Citation: 1## Oral Presentation
Proceedings of the 2022 Annual 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 Citation: 3##
Proceedings of the 2022 International 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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Links

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Last updated on 12 March 2023
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