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Author: Ruyin Feng

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News and Events

DESI Seminar: Foregrounding Bystanders as Stakeholders in Smart Home Product Design

12 October 202512 October 2025 - by Ruyin Feng

We are excited to announce that Dr.Ruba Abu-Salma from King’s College, London, will be delivering a seminar on Foregrounding Bystanders as …

DESI Seminar: Foregrounding Bystanders as Stakeholders in Smart Home Product Design Read More
maha desi seminar
News and Events

DESI Seminar: Digital Objects Establishing Hybridity in Open Communities

24 September 202524 September 2025 - by Ruyin Feng

We are excited to announce that Prof. Maha Shaikh from ESADE Business School, Barcelona, will be delivering a seminar on Digital …

DESI Seminar: Digital Objects Establishing Hybridity in Open Communities Read More
yuanjun edited2
News and Events

Congratulations to Yuanjun on being awarded an Individual Grant by SAGW Switzerland!

17 September 202517 September 2025 - by Ruyin Feng

Congratulations to Yuanjun Feng! 🥳 We are thrilled to celebrate Yuanjun’s achievement of being awarded the Individual Grant by SAGW …

Congratulations to Yuanjun on being awarded an Individual Grant by SAGW Switzerland! Read More
a comprehensive survey of stream reasoning and its integration with knowledge graphs
Research Highlights

Paper Published: A Comprehensive Survey of Stream Reasoning and its Integration with Knowledge Graphs

2 September 20252 September 2025 - by Ruyin Feng

We are pleased to share that the paper “A Comprehensive Survey of Stream Reasoning and its Integration with Knowledge Graphs” …

Paper Published: A Comprehensive Survey of Stream Reasoning and its Integration with Knowledge Graphs Read More
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Research Highlights

Paper Accepted: CAST-GNN: Continual adaptive learning for custom spatio-temporal knowledge graphs via graph neural networks

29 August 20252 September 2025 - by Ruyin Feng

The paper “CAST-GNN: Continual adaptive learning for custom spatio-temporal knowledge graphs via graph neural networks” by  Özbulak, G., Shrestha, Y. …

Paper Accepted: CAST-GNN: Continual adaptive learning for custom spatio-temporal knowledge graphs via graph neural networks Read More

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