Cross-Institutional Research Capacity Development in Human-Robot Interaction
Seedcorn Funding Singapore Management University and Durham University
Funding Source: Singapore Management University/Durham University, Singapore/UK
Reference Number: 3787041
Value: £15,000
2025 - 2026
Reference Number: 3787041
Value: £15,000
2025 - 2026
About the Project
- Forged a new strategic research collaboration between Singapore Management University and Durham University.
- Facilitated joint research in human-robot interaction and cross-institutional capacity building.
People
- Prof. Hubert P. H. Shum - Principal Investigator
- Dr Jiannan Li - SMU Principal Investigator
- Dr Anthony Tang - Co-Investigator
- Dr Shengfeng He - Co-Investigator
- Dr Kotaro Hara - Co-Investigator
- Dr Amir Atapour-Abarghouei - Co-Investigator
- Dr Stamos Katsigiannis - Co-Investigator
- Dr Junyan Hu - Co-Investigator
- Prof. Toby P. Breckon - Co-Investigator
- Dr Ziyi Chang - Research Assistant
- Dr Ruochen Li - Research Assistant
Publications
ART: Adaptive Relational Transformer for Pedestrian Trajectory Prediction with Temporal-Aware Relations
Proceedings of the 2026 IEEE International Conference on Human-Machine Systems (ICHMS), 2026
Ruochen Li, Ziyi Chang, Junyan Hu, Jiannan Li, Amir Atapour-Abarghouei and Hubert P. H. Shum
Topics: Crowd Modelling, Autonomous Vehicles
Webpage Cite This Plain Text
Proceedings of the 2026 IEEE International Conference on Human-Machine Systems (ICHMS), 2026
Ruochen Li, Ziyi Chang, Junyan Hu, Jiannan Li, Amir Atapour-Abarghouei and Hubert P. H. Shum
Topics: Crowd Modelling, Autonomous Vehicles
Webpage Cite This Plain Text
Ruochen Li, Ziyi Chang, Junyan Hu, Jiannan Li, Amir Atapour-Abarghouei and Hubert P. H. Shum, "ART: Adaptive Relational Transformer for Pedestrian Trajectory Prediction with Temporal-Aware Relations," in Proceedings of the 2026 IEEE International Conference on Human-Machine Systems, Singapore, Singapore, 2026.
Bibtex @inproceedings{li26art,
author={Li, Ruochen and Chang, Ziyi and Hu, Junyan and Li, Jiannan and Atapour-Abarghouei, Amir and Shum, Hubert P. H.},
booktitle={Proceedings of the 2026 IEEE International Conference on Human-Machine Systems},
title={ART: Adaptive Relational Transformer for Pedestrian Trajectory Prediction with Temporal-Aware Relations},
year={2026},
location={Singapore, Singapore},
}
RIS author={Li, Ruochen and Chang, Ziyi and Hu, Junyan and Li, Jiannan and Atapour-Abarghouei, Amir and Shum, Hubert P. H.},
booktitle={Proceedings of the 2026 IEEE International Conference on Human-Machine Systems},
title={ART: Adaptive Relational Transformer for Pedestrian Trajectory Prediction with Temporal-Aware Relations},
year={2026},
location={Singapore, Singapore},
}
TY - CONF
AU - Li, Ruochen
AU - Chang, Ziyi
AU - Hu, Junyan
AU - Li, Jiannan
AU - Atapour-Abarghouei, Amir
AU - Shum, Hubert P. H.
T2 - Proceedings of the 2026 IEEE International Conference on Human-Machine Systems
TI - ART: Adaptive Relational Transformer for Pedestrian Trajectory Prediction with Temporal-Aware Relations
PY - 2026
ER -
PaperAU - Li, Ruochen
AU - Chang, Ziyi
AU - Hu, Junyan
AU - Li, Jiannan
AU - Atapour-Abarghouei, Amir
AU - Shum, Hubert P. H.
T2 - Proceedings of the 2026 IEEE International Conference on Human-Machine Systems
TI - ART: Adaptive Relational Transformer for Pedestrian Trajectory Prediction with Temporal-Aware Relations
PY - 2026
ER -