Dr Manli Zhu

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

Northumbria University
, UK

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Grants Involved

Northumbria University

Postgraduate Research Scholarship (Ref: ): £65,000, PhD (PI: Hubert P. H. Shum) ()
Received from Faculty of Engineering and Environment%s, Northumbria University, UK, 2020-2022
Project Page

Publications with the Team

Geometric Features Enhanced Human-Object Interaction Detection
Geometric Features Enhanced Human-Object Interaction Detection Impact Factor: 5.6Top 25% Journal in Engineering, Electrical & Electronic
IEEE Transactions on Instrumentation and Measurement (TIM), 2024
Manli Zhu, Edmond S. L. Ho, Shuang Chen, Longzhi Yang and Hubert P. H. Shum
Webpage Cite This Plain Text
Manli Zhu, Edmond S. L. Ho, Shuang Chen, Longzhi Yang and Hubert P. H. Shum, "Geometric Features Enhanced Human-Object Interaction Detection," IEEE Transactions on Instrumentation and Measurement, vol. 73, IEEE, 2024.
Bibtex
@article{zhu24geometric,
 author={Zhu, Manli and Ho, Edmond S. L. and Chen, Shuang and Yang, Longzhi and Shum, Hubert P. H.},
 journal={IEEE Transactions on Instrumentation and Measurement},
 title={Geometric Features Enhanced Human-Object Interaction Detection},
 year={2024},
 volume={73},
 numpages={14},
 doi={10.1109/TIM.2024.3427800},
 issn={0018-9456},
 publisher={IEEE},
}
RIS
TY  - JOUR
AU  - Zhu, Manli
AU  - Ho, Edmond S. L.
AU  - Chen, Shuang
AU  - Yang, Longzhi
AU  - Shum, Hubert P. H.
T2  - IEEE Transactions on Instrumentation and Measurement
TI  - Geometric Features Enhanced Human-Object Interaction Detection
PY  - 2024
VL  - 73
DO  - 10.1109/TIM.2024.3427800
SN  - 0018-9456
PB  - IEEE
ER  - 
Paper Supplementary Material GitHub
A Two-Stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction
A Two-Stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction Impact Factor: 3.5Top 25% Journal in Health Care Sciences & Services
Journal of Medical Systems (JMS), 2022
Manli Zhu, Qianhui Men, Edmond S. L. Ho, Howard Leung and Hubert P. H. Shum
Webpage Cite This Plain Text
Manli Zhu, Qianhui Men, Edmond S. L. Ho, Howard Leung and Hubert P. H. Shum, "A Two-Stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction," Journal of Medical Systems, vol. 46, no. 11, pp. 76, Springer, 2022.
Bibtex
@article{zhu22twostream,
 author={Zhu, Manli and Men, Qianhui and Ho, Edmond S. L. and Leung, Howard and Shum, Hubert P. H.},
 journal={Journal of Medical Systems},
 title={A Two-Stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction},
 year={2022},
 volume={46},
 number={11},
 pages={76},
 numpages={12},
 doi={10.1007/s10916-022-01857-5},
 issn={1573-689X},
 publisher={Springer},
}
RIS
TY  - JOUR
AU  - Zhu, Manli
AU  - Men, Qianhui
AU  - Ho, Edmond S. L.
AU  - Leung, Howard
AU  - Shum, Hubert P. H.
T2  - Journal of Medical Systems
TI  - A Two-Stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction
PY  - 2022
VL  - 46
IS  - 11
SP  - 76
EP  - 76
DO  - 10.1007/s10916-022-01857-5
SN  - 1573-689X
PB  - Springer
ER  - 
Paper
A Skeleton-Aware Graph Convolutional Network for Human-Object Interaction Detection
A Skeleton-Aware Graph Convolutional Network for Human-Object Interaction Detection
Proceedings of the 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2022
Manli Zhu, Edmond S. L. Ho and Hubert P. H. Shum
Webpage Cite This Plain Text
Manli Zhu, Edmond S. L. Ho and Hubert P. H. Shum, "A Skeleton-Aware Graph Convolutional Network for Human-Object Interaction Detection," in SMC '22: Proceedings of the 2022 IEEE International Conference on Systems, Man, and Cybernetics, pp. 275-281, Prague, Czech Republic, IEEE, Oct 2022.
Bibtex
@inproceedings{zhu22skeleton,
 author={Zhu, Manli and Ho, Edmond S. L. and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2022 IEEE International Conference on Systems, Man, and Cybernetics},
 series={SMC '22},
 title={A Skeleton-Aware Graph Convolutional Network for Human-Object Interaction Detection},
 year={2022},
 month={10},
 pages={275--281},
 numpages={7},
 doi={10.1109/SMC53654.2022.9945149},
 publisher={IEEE},
 location={Prague, Czech Republic},
}
RIS
TY  - CONF
AU  - Zhu, Manli
AU  - Ho, Edmond S. L.
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2022 IEEE International Conference on Systems, Man, and Cybernetics
TI  - A Skeleton-Aware Graph Convolutional Network for Human-Object Interaction Detection
PY  - 2022
Y1  - 10 2022
SP  - 275
EP  - 281
DO  - 10.1109/SMC53654.2022.9945149
PB  - IEEE
ER  - 
Paper
Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention
Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention Citation: 19#
Proceedings of the 2021 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2021
Manli Zhu, Qianhui Men, Edmond S. L. Ho, Howard Leung and Hubert P. H. Shum
Webpage Cite This Plain Text
Manli Zhu, Qianhui Men, Edmond S. L. Ho, Howard Leung and Hubert P. H. Shum, "Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention," in BHI '21: Proceedings of the 2021 IEEE-EMBS International Conference on Biomedical and Health Informatics, pp. 1-4, IEEE, Jul 2021.
Bibtex
@inproceedings{zhu21interpreting,
 author={Zhu, Manli and Men, Qianhui and Ho, Edmond S. L. and Leung, Howard and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2021 IEEE-EMBS International Conference on Biomedical and Health Informatics},
 series={BHI '21},
 title={Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention},
 year={2021},
 month={7},
 pages={1--4},
 numpages={4},
 doi={10.1109/BHI50953.2021.9508619},
 issn={2641-3604},
 publisher={IEEE},
}
RIS
TY  - CONF
AU  - Zhu, Manli
AU  - Men, Qianhui
AU  - Ho, Edmond S. L.
AU  - Leung, Howard
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2021 IEEE-EMBS International Conference on Biomedical and Health Informatics
TI  - Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention
PY  - 2021
Y1  - 7 2021
SP  - 1
EP  - 4
DO  - 10.1109/BHI50953.2021.9508619
SN  - 2641-3604
PB  - IEEE
ER  - 
Paper YouTube

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