Dr Haozheng Zhang

Durham University
PhD (Co-supervised with )
, 2020 - 2024

Durham University
, UK

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Publications with the Team

SEM-Net: Efficient Pixel Modelling for Image Inpainting with Spatially Enhanced SSM
SEM-Net: Efficient Pixel Modelling for Image Inpainting with Spatially Enhanced SSM  Oral Paper (Top 8.2% of 2458 Submissions)H5-Index: 109#Core A Conference
Proceedings of the 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
Shuang Chen, Haozheng Zhang, Amir Atapour-Abarghouei and Hubert P. H. Shum
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Shuang Chen, Haozheng Zhang, Amir Atapour-Abarghouei and Hubert P. H. Shum, "SEM-Net: Efficient Pixel Modelling for Image Inpainting with Spatially Enhanced SSM," in WACV '25: Proceedings of the 2025 IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 461-471, Arizona, USA, IEEE/CVF, 2025.
Bibtex
@inproceedings{chen25sem,
 author={Chen, Shuang and Zhang, Haozheng and Atapour-Abarghouei, Amir and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2025 IEEE/CVF Winter Conference on Applications of Computer Vision},
 series={WACV '25},
 title={SEM-Net: Efficient Pixel Modelling for Image Inpainting with Spatially Enhanced SSM},
 year={2025},
 pages={461--471},
 doi={10.1109/WACV61041.2025.00055},
 publisher={IEEE/CVF},
 location={Arizona, USA},
}
RIS
TY  - CONF
AU  - Chen, Shuang
AU  - Zhang, Haozheng
AU  - Atapour-Abarghouei, Amir
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2025 IEEE/CVF Winter Conference on Applications of Computer Vision
TI  - SEM-Net: Efficient Pixel Modelling for Image Inpainting with Spatially Enhanced SSM
PY  - 2025
SP  - 461
EP  - 471
DO  - 10.1109/WACV61041.2025.00055
PB  - IEEE/CVF
ER  - 
Paper YouTube
Pose-Based Tremor Type and Level Analysis for Parkinson’s Disease from Video
Pose-Based Tremor Type and Level Analysis for Parkinson’s Disease from Video Impact Factor: 2.3
International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2024
Haozheng Zhang, Edmond S. L. Ho, Francis Xiatian Zhang, Silvia Del Din and Hubert P. H. Shum
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Haozheng Zhang, Edmond S. L. Ho, Francis Xiatian Zhang, Silvia Del Din and Hubert P. H. Shum, "Pose-Based Tremor Type and Level Analysis for Parkinson’s Disease from Video," International Journal of Computer Assisted Radiology and Surgery, vol. 19, pp. 831-840, Springer, 2024.
Bibtex
@article{zhang24pose,
 author={Zhang, Haozheng and Ho, Edmond S. L. and Zhang, Francis Xiatian and Din, Silvia Del and Shum, Hubert P. H.},
 journal={International Journal of Computer Assisted Radiology and Surgery},
 title={Pose-Based Tremor Type and Level Analysis for Parkinson’s Disease from Video},
 year={2024},
 volume={19},
 pages={831--840},
 numpages={10},
 doi={10.1007/s11548-023-03052-4},
 issn={1861-6429},
 publisher={Springer},
}
RIS
TY  - JOUR
AU  - Zhang, Haozheng
AU  - Ho, Edmond S. L.
AU  - Zhang, Francis Xiatian
AU  - Din, Silvia Del
AU  - Shum, Hubert P. H.
T2  - International Journal of Computer Assisted Radiology and Surgery
TI  - Pose-Based Tremor Type and Level Analysis for Parkinson’s Disease from Video
PY  - 2024
VL  - 19
SP  - 831
EP  - 840
DO  - 10.1007/s11548-023-03052-4
SN  - 1861-6429
PB  - Springer
ER  - 
Paper
Unraveling the Brain Dynamics of Depersonalization-Derealization Disorder: A Dynamic Functional Network Connectivity Analysis
Unraveling the Brain Dynamics of Depersonalization-Derealization Disorder: A Dynamic Functional Network Connectivity Analysis Impact Factor: 3.4
BMC Psychiatry, 2024
Sisi Zheng, Francis Xiatian Zhang, Hubert P. H. Shum, Haozheng Zhang, Nan Song, Mingkang Song and Hongxiao Jia
Webpage Cite This Plain Text
Sisi Zheng, Francis Xiatian Zhang, Hubert P. H. Shum, Haozheng Zhang, Nan Song, Mingkang Song and Hongxiao Jia, "Unraveling the Brain Dynamics of Depersonalization-Derealization Disorder: A Dynamic Functional Network Connectivity Analysis," BMC Psychiatry, vol. 24, pp. 685, BMC, 2024.
Bibtex
@article{zheng24unraveling,
 author={Zheng, Sisi and Zhang, Francis Xiatian and Shum, Hubert P. H. and Zhang, Haozheng and Song, Nan and Song, Mingkang and Jia, Hongxiao},
 journal={BMC Psychiatry},
 title={Unraveling the Brain Dynamics of Depersonalization-Derealization Disorder: A Dynamic Functional Network Connectivity Analysis},
 year={2024},
 volume={24},
 pages={685},
 numpages={15},
 doi={10.1186/s12888-024-06096-1},
 issn={1471-244X},
 publisher={BMC},
}
RIS
TY  - JOUR
AU  - Zheng, Sisi
AU  - Zhang, Francis Xiatian
AU  - Shum, Hubert P. H.
AU  - Zhang, Haozheng
AU  - Song, Nan
AU  - Song, Mingkang
AU  - Jia, Hongxiao
T2  - BMC Psychiatry
TI  - Unraveling the Brain Dynamics of Depersonalization-Derealization Disorder: A Dynamic Functional Network Connectivity Analysis
PY  - 2024
VL  - 24
SP  - 685
EP  - 685
DO  - 10.1186/s12888-024-06096-1
SN  - 1471-244X
PB  - BMC
ER  - 
Paper
MxT: Mamba x Transformer for Image Inpainting
MxT: Mamba x Transformer for Image Inpainting H5-Index: 65#
Proceedings of the 2024 British Machine Vision Conference (BMVC), 2024
Shuang Chen, Amir Atapour-Abarghouei, Haozheng Zhang and Hubert P. H. Shum
Webpage Cite This Plain Text
Shuang Chen, Amir Atapour-Abarghouei, Haozheng Zhang and Hubert P. H. Shum, "MxT: Mamba x Transformer for Image Inpainting," in BMVC '24: Proceedings of the 2024 British Machine Vision Conference, Glasgow, UK, 2024.
Bibtex
@inproceedings{chen24mxt,
 author={Chen, Shuang and Atapour-Abarghouei, Amir and Zhang, Haozheng and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2024 British Machine Vision Conference},
 series={BMVC '24},
 title={MxT: Mamba x Transformer for Image Inpainting},
 year={2024},
 location={Glasgow, UK},
}
RIS
TY  - CONF
AU  - Chen, Shuang
AU  - Atapour-Abarghouei, Amir
AU  - Zhang, Haozheng
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2024 British Machine Vision Conference
TI  - MxT: Mamba x Transformer for Image Inpainting
PY  - 2024
ER  - 
Paper GitHub YouTube
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
Francis Xiatian Zhang, Sisi Zheng, Hubert P. H. Shum, Haozheng Zhang, Nan Song, Mingkang Song and Hongxiao Jia
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Francis Xiatian Zhang, Sisi Zheng, Hubert P. H. Shum, Haozheng Zhang, Nan Song, Mingkang Song and Hongxiao Jia, "Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI," in ICONIP '23: Proceedings of the 2023 International Conference on Neural Information Processing, pp. 298-312, Changsha, China, Springer, Nov 2023.
Bibtex
@inproceedings{zhang23correlation,
 author={Zhang, Francis Xiatian and Zheng, Sisi and Shum, Hubert P. H. and Zhang, Haozheng and Song, Nan and Song, Mingkang and Jia, Hongxiao},
 booktitle={Proceedings of the 2023 International Conference on Neural Information Processing},
 series={ICONIP '23},
 title={Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI},
 year={2023},
 month={11},
 pages={298--312},
 numpages={15},
 doi={10.1007/978-981-99-8138-0_24},
 isbn={978-981-99-8137-3},
 publisher={Springer},
 location={Changsha, China},
}
RIS
TY  - CONF
AU  - Zhang, Francis Xiatian
AU  - Zheng, Sisi
AU  - Shum, Hubert P. H.
AU  - Zhang, Haozheng
AU  - Song, Nan
AU  - Song, Mingkang
AU  - Jia, Hongxiao
T2  - Proceedings of the 2023 International Conference on Neural Information Processing
TI  - Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI
PY  - 2023
Y1  - 11 2023
SP  - 298
EP  - 312
DO  - 10.1007/978-981-99-8138-0_24
SN  - 978-981-99-8137-3
PB  - Springer
ER  - 
Paper GitHub
Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models
Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models Citation: 16#
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 Cite This Plain Text
Ziyi Chang, Edmund J. C. Findlay, Haozheng Zhang and Hubert P. H. Shum, "Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models," in GRAPP '23: Proceedings of the 2023 International Conference on Computer Graphics Theory and Applications, pp. 64-74, Lisbon, Portugal, SciTePress, Feb 2023.
Bibtex
@inproceedings{chang23unifying,
 author={Chang, Ziyi and Findlay, Edmund J. C. and Zhang, Haozheng and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2023 International Conference on Computer Graphics Theory and Applications},
 series={GRAPP '23},
 title={Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models},
 year={2023},
 month={2},
 pages={64--74},
 numpages={11},
 doi={10.5220/0011631000003417},
 issn={2184-4321},
 isbn={978-989-758-634-7},
 publisher={SciTePress},
 location={Lisbon, Portugal},
}
RIS
TY  - CONF
AU  - Chang, Ziyi
AU  - Findlay, Edmund J. C.
AU  - Zhang, Haozheng
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2023 International Conference on Computer Graphics Theory and Applications
TI  - Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models
PY  - 2023
Y1  - 2 2023
SP  - 64
EP  - 74
DO  - 10.5220/0011631000003417
SN  - 2184-4321
PB  - SciTePress
ER  - 
Paper GitHub YouTube
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: 1.3
Software Impacts (SIMPAC), 2022
Haozheng Zhang, Edmond S. L. Ho and Hubert P. H. Shum
Webpage Cite This Plain Text
Haozheng Zhang, Edmond S. L. Ho and Hubert P. H. Shum, "CP-AGCN: Pytorch-Based Attention Informed Graph Convolutional Network for Identifying Infants at Risk of Cerebral Palsy," Software Impacts, vol. 14, pp. 100419, Elsevier, 2022.
Bibtex
@article{zhang22cpagcn,
 author={Zhang, Haozheng and Ho, Edmond S. L. and Shum, Hubert P. H.},
 journal={Software Impacts},
 title={CP-AGCN: Pytorch-Based Attention Informed Graph Convolutional Network for Identifying Infants at Risk of Cerebral Palsy},
 year={2022},
 volume={14},
 pages={100419},
 numpages={4},
 doi={10.1016/j.simpa.2022.100419},
 issn={2665-9638},
 publisher={Elsevier},
}
RIS
TY  - JOUR
AU  - Zhang, Haozheng
AU  - Ho, Edmond S. L.
AU  - Shum, Hubert P. H.
T2  - Software Impacts
TI  - CP-AGCN: Pytorch-Based Attention Informed Graph Convolutional Network for Identifying Infants at Risk of Cerebral Palsy
PY  - 2022
VL  - 14
SP  - 100419
EP  - 100419
DO  - 10.1016/j.simpa.2022.100419
SN  - 2665-9638
PB  - Elsevier
ER  - 
Paper
Pose-Based Tremor Classification for Parkinson’s Disease Diagnosis from Video
Pose-Based Tremor Classification for Parkinson’s Disease Diagnosis from Video H5-Index: 96#Core A ConferenceCitation: 18#
Proceedings of the 2022 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022
Haozheng Zhang, Edmond S. L. Ho, Francis Xiatian Zhang and Hubert P. H. Shum
Webpage Cite This Plain Text
Haozheng Zhang, Edmond S. L. Ho, Francis Xiatian Zhang and Hubert P. H. Shum, "Pose-Based Tremor Classification for Parkinson’s Disease Diagnosis from Video," in MICCAI '22: Proceedings of the 2022 International Conference on Medical Image Computing and Computer Assisted Intervention, pp. 489-499, Singapore, Singapore, Springer, Sep 2022.
Bibtex
@inproceedings{zhang22posebased,
 author={Zhang, Haozheng and Ho, Edmond S. L. and Zhang, Francis Xiatian and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2022 International Conference on Medical Image Computing and Computer Assisted Intervention},
 series={MICCAI '22},
 title={Pose-Based Tremor Classification for Parkinson’s Disease Diagnosis from Video},
 year={2022},
 month={9},
 pages={489--499},
 numpages={11},
 doi={10.1007/978-3-031-16440-8_47},
 isbn={978-3-031-16439-2},
 publisher={Springer},
 location={Singapore, Singapore},
}
RIS
TY  - CONF
AU  - Zhang, Haozheng
AU  - Ho, Edmond S. L.
AU  - Zhang, Francis Xiatian
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2022 International Conference on Medical Image Computing and Computer Assisted Intervention
TI  - Pose-Based Tremor Classification for Parkinson’s Disease Diagnosis from Video
PY  - 2022
Y1  - 9 2022
SP  - 489
EP  - 499
DO  - 10.1007/978-3-031-16440-8_47
SN  - 978-3-031-16439-2
PB  - Springer
ER  - 
Paper Supplementary Material
Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks
Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks  Oral PaperCitation: 16#
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
Webpage Cite This Plain Text
Haozheng Zhang, Hubert P. H. Shum and Edmond S. L. Ho, "Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks," in EMBC '22: Proceedings of the 2022 International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 1619-1625, Glasgow, UK, IEEE, Jul 2022.
Bibtex
@inproceedings{zhang22cerebral,
 author={Zhang, Haozheng and Shum, Hubert P. H. and Ho, Edmond S. L.},
 booktitle={Proceedings of the 2022 International Conference of the IEEE Engineering in Medicine and Biology Society},
 series={EMBC '22},
 title={Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks},
 year={2022},
 month={7},
 pages={1619--1625},
 numpages={7},
 doi={10.1109/EMBC48229.2022.9871230},
 publisher={IEEE},
 location={Glasgow, UK},
}
RIS
TY  - CONF
AU  - Zhang, Haozheng
AU  - Shum, Hubert P. H.
AU  - Ho, Edmond S. L.
T2  - Proceedings of the 2022 International Conference of the IEEE Engineering in Medicine and Biology Society
TI  - Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks
PY  - 2022
Y1  - 7 2022
SP  - 1619
EP  - 1625
DO  - 10.1109/EMBC48229.2022.9871230
PB  - IEEE
ER  - 
Paper YouTube
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
Webpage Cite This Plain Text
Edmund J. C. Findlay, Haozheng Zhang, Ziyi Chang and Hubert P. H. Shum, "Denoising Diffusion Probabilistic Models for Styled Walking Synthesis," in MIG '22: Proceedings of the 2022 ACM SIGGRAPH Conference on Motion, Interaction and Games, Guanajuato, Mexico, ACM, 2022.
Bibtex
@inproceedings{edmund22style,
 author={Findlay, Edmund J. C. and Zhang, Haozheng and Chang, Ziyi and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2022 ACM SIGGRAPH Conference on Motion, Interaction and Games},
 series={MIG '22},
 title={Denoising Diffusion Probabilistic Models for Styled Walking Synthesis},
 year={2022},
 publisher={ACM},
 Address={New York, NY, USA},
 location={Guanajuato, Mexico},
}
RIS
TY  - CONF
AU  - Findlay, Edmund J. C.
AU  - Zhang, Haozheng
AU  - Chang, Ziyi
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2022 ACM SIGGRAPH Conference on Motion, Interaction and Games
TI  - Denoising Diffusion Probabilistic Models for Styled Walking Synthesis
PY  - 2022
PB  - ACM
ER  - 
Paper YouTube

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