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Dr Ziyi Chang

Durham University
PhD (Primary Supervisor: )
, 2021 - 2025

Durham University
, UK

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Grants Involved

Singapore Management University/Durham University
Cross-Institutional Research Capacity Development in Human-Robot Interaction
Seedcorn Funding Singapore Management University and Durham University (Ref: 3787041): £15,000, Research Assistant (PI: Hubert P. H. Shum) ()
Received from Singapore Management University/Durham University, Singapore/UK, 2025-2026
 Project Page

Publications with the Team

On the Design Fundamentals of Diffusion Models: A Survey
On the Design Fundamentals of Diffusion Models: A Survey  Impact Factor: 7.6† Top 25% Journal in Computer Science, Artificial Intelligence†   Citation: 108#
Pattern Recognition (PR), 2026
Ziyi Chang, George Alex Koulieris, Hyung Jin Chang and Hubert P. H. Shum
Webpage Cite This Plain Text 
Ziyi Chang, George Alex Koulieris, Hyung Jin Chang and Hubert P. H. Shum, "On the Design Fundamentals of Diffusion Models: A Survey," Pattern Recognition, pp. 111934, Elsevier, 2026.
Bibtex 
@article{chang25design,
 author={Chang, Ziyi and Koulieris, George Alex and Chang, Hyung Jin and Shum, Hubert P. H.},
 journal={Pattern Recognition},
 title={On the Design Fundamentals of Diffusion Models: A Survey},
 year={2026},
 pages={111934},
 doi={10.1016/j.patcog.2025.111934},
 issn={0031-3203},
 publisher={Elsevier},
}
RIS 
TY  - JOUR
AU  - Chang, Ziyi
AU  - Koulieris, George Alex
AU  - Chang, Hyung Jin
AU  - Shum, Hubert P. H.
T2  - Pattern Recognition
TI  - On the Design Fundamentals of Diffusion Models: A Survey
PY  - 2026
SP  - 111934
EP  - 111934
DO  - 10.1016/j.patcog.2025.111934
SN  - 0031-3203
PB  - Elsevier
ER  - 
 Paper
Real-time and Controllable Reactive Motion Synthesis via Intention Guidance
Real-time and Controllable Reactive Motion Synthesis via Intention Guidance  Impact Factor: 2.9†    
Computer Graphics Forum (CGF), 2025
Xiaotang Zhang, Ziyi Chang, Qianhui Men and Hubert P. H. Shum
Webpage Cite This Plain Text 
Xiaotang Zhang, Ziyi Chang, Qianhui Men and Hubert P. H. Shum, "Real-time and Controllable Reactive Motion Synthesis via Intention Guidance," Computer Graphics Forum, vol. 44, no. 6, pp. e70222, Wiley, 2025.
Bibtex 
@article{zhang25realtime,
 author={Zhang, Xiaotang and Chang, Ziyi and Men, Qianhui and Shum, Hubert P. H.},
 journal={Computer Graphics Forum},
 title={Real-time and Controllable Reactive Motion Synthesis via Intention Guidance},
 year={2025},
 volume={44},
 number={6},
 pages={e70222},
 numpages={11},
 doi={10.1111/cgf.70222},
 issn={0167-7055},
 publisher={Wiley},
}
RIS 
TY  - JOUR
AU  - Zhang, Xiaotang
AU  - Chang, Ziyi
AU  - Men, Qianhui
AU  - Shum, Hubert P. H.
T2  - Computer Graphics Forum
TI  - Real-time and Controllable Reactive Motion Synthesis via Intention Guidance
PY  - 2025
VL  - 44
IS  - 6
SP  - e70222
EP  - e70222
DO  - 10.1111/cgf.70222
SN  - 0167-7055
PB  - Wiley
ER  - 
 Paper GitHub YouTube
Large-Scale Multi-Character Interaction Synthesis
Large-Scale Multi-Character Interaction Synthesis     Core A* Conference‡ 
Proceedings of the 2025 ACM SIGGRAPH, 2025
Ziyi Chang, He Wang, George Alex Koulieris and Hubert P. H. Shum
Webpage Cite This Plain Text 
Ziyi Chang, He Wang, George Alex Koulieris and Hubert P. H. Shum, "Large-Scale Multi-Character Interaction Synthesis," in Proceedings of the 2025 ACM SIGGRAPH, pp. Article 114, Vancouver, Canada, ACM, 2025.
Bibtex 
@inproceedings{chang25largescale,
 author={Chang, Ziyi and Wang, He and Koulieris, George Alex and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2025 ACM SIGGRAPH},
 title={Large-Scale Multi-Character Interaction Synthesis},
 year={2025},
 pages={Article 114},
 numpages={10},
 doi={10.1145/3721238.3730750},
 isbn={9.80E+12},
 publisher={ACM},
 Address={New York, NY, USA},
 location={Vancouver, Canada},
}
RIS 
TY  - CONF
AU  - Chang, Ziyi
AU  - Wang, He
AU  - Koulieris, George Alex
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2025 ACM SIGGRAPH
TI  - Large-Scale Multi-Character Interaction Synthesis
PY  - 2025
SP  - Article 114
EP  - Article 114
DO  - 10.1145/3721238.3730750
SN  - 9.80E+12
PB  - ACM
ER  - 
 Paper Supplementary Material YouTube
Motion In-Betweening for Densely Interacting Characters
Motion In-Betweening for Densely Interacting Characters      
Proceedings of the 2025 ACM SIGGRAPH Asia, 2025
Xiaotang Zhang, Ziyi Chang, Qianhui Men and Hubert P. H. Shum
Webpage Cite This Plain Text 
Xiaotang Zhang, Ziyi Chang, Qianhui Men and Hubert P. H. Shum, "Motion In-Betweening for Densely Interacting Characters," in Proceedings of the 2025 ACM SIGGRAPH Asia, pp. 96, Hong Kong, China, ACM, 2025.
Bibtex 
@inproceedings{zhang25otion,
 author={Zhang, Xiaotang and Chang, Ziyi and Men, Qianhui and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2025 ACM SIGGRAPH Asia},
 title={Motion In-Betweening for Densely Interacting Characters},
 year={2025},
 pages={96},
 numpages={11},
 doi={10.1145/3757377.3763950},
 isbn={9.80E+12},
 publisher={ACM},
 Address={New York, NY, USA},
 location={Hong Kong, China},
}
RIS 
TY  - CONF
AU  - Zhang, Xiaotang
AU  - Chang, Ziyi
AU  - Men, Qianhui
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2025 ACM SIGGRAPH Asia
TI  - Motion In-Betweening for Densely Interacting Characters
PY  - 2025
SP  - 96
EP  - 96
DO  - 10.1145/3757377.3763950
SN  - 9.80E+12
PB  - ACM
ER  - 
 Paper YouTube
Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient
Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient    H5-Index: 256# Core A* Conference‡ Citation: 24#
Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Zhengzhi Lu, He Wang, Ziyi Chang, Guoan Yang and Hubert P. H. Shum
Webpage Cite This Plain Text 
Zhengzhi Lu, He Wang, Ziyi Chang, Guoan Yang and Hubert P. H. Shum, "Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient," in ICCV '23: Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision, pp. 4574-4583, Paris, France, IEEE/CVF, Oct 2023.
Bibtex 
@inproceedings{lu23hard,
 author={Lu, Zhengzhi and Wang, He and Chang, Ziyi and Yang, Guoan and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision},
 series={ICCV '23},
 title={Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient},
 year={2023},
 month={10},
 pages={4574--4583},
 numpages={10},
 doi={10.1109/ICCV51070.2023.00424},
 publisher={IEEE/CVF},
 location={Paris, France},
}
RIS 
TY  - CONF
AU  - Lu, Zhengzhi
AU  - Wang, He
AU  - Chang, Ziyi
AU  - Yang, Guoan
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision
TI  - Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient
PY  - 2023
Y1  - 10 2023
SP  - 4574
EP  - 4583
DO  - 10.1109/ICCV51070.2023.00424
PB  - IEEE/CVF
ER  - 
 Paper Supplementary Material GitHub YouTube
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: 26#
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 YouTube
3D Reconstruction of Sculptures from Single Images via Unsupervised Domain Adaptation on Implicit Models
3D Reconstruction of Sculptures from Single Images via Unsupervised Domain Adaptation on Implicit Models     Core A Conference‡ 
Proceedings of the 2022 ACM Symposium on Virtual Reality Software and Technology (VRST), 2022
Ziyi Chang, George Alex Koulieris and Hubert P. H. Shum
Webpage Cite This Plain Text 
Ziyi Chang, George Alex Koulieris and Hubert P. H. Shum, "3D Reconstruction of Sculptures from Single Images via Unsupervised Domain Adaptation on Implicit Models," in VRST '22: Proceedings of the 2022 ACM Symposium on Virtual Reality Software and Technology, pp. 1-10, Tsukuba, Japan, ACM, Nov 2022.
Bibtex 
@inproceedings{chang22reconstruction,
 author={Chang, Ziyi and Koulieris, George Alex and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2022 ACM Symposium on Virtual Reality Software and Technology},
 series={VRST '22},
 title={3D Reconstruction of Sculptures from Single Images via Unsupervised Domain Adaptation on Implicit Models},
 year={2022},
 month={11},
 pages={1--10},
 numpages={10},
 doi={10.1145/3562939.3565632},
 isbn={9.78E+12},
 publisher={ACM},
 Address={New York, NY, USA},
 location={Tsukuba, Japan},
}
RIS 
TY  - CONF
AU  - Chang, Ziyi
AU  - Koulieris, George Alex
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2022 ACM Symposium on Virtual Reality Software and Technology
TI  - 3D Reconstruction of Sculptures from Single Images via Unsupervised Domain Adaptation on Implicit Models
PY  - 2022
Y1  - 11 2022
SP  - 1
EP  - 10
DO  - 10.1145/3562939.3565632
SN  - 9.78E+12
PB  - ACM
ER  - 
 Paper GitHub 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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