Yingke Chen received his PhD from Aalborg University, Denmark. He did post-doctoral research at Queen’s University Belfast, UK, and Georgia University, USA. His main research interests include artificial intelligence, machine learning, data-driven decision-making, and their applications. His research has led to national and regional research grants and publications in the Journal of AI Research, JAAMAS, TNNLS, TIP, TKDE, AAMAS, AAAI, CVPR, and IJCAI conferences.
Alongside fundamental research, he also designs innovative solutions based on theoretical findings to address practical challenges. He has been the major contributor (PI/Co-I) of over £1.3M Innovate UK-funded projects (including five Knowledge Transfer Partnerships). He works together with business partners from transportation, logistics, autonomous underwater vehicles, education, and e-commerce sectors to exploit data science and AI techniques to understand their current operations and upscale their businesses for the future.
Yingke Chen‘s research interests include Artificial Intelligence (in particular, machine learning, multiagent systems and their applications) and Formal Methods (in particular, machine learning-based model checking).
- Ambiguity-Tolerant Cross-Modal Hashing with Partial Labels, Su, C., Li, Y., Wang, X., Chen, Y., Zheng, H., Peng, D., Sun, Y. 14 Mar 2026, Proceedings of the AAAI Conference on Artificial Intelligence, Washington DC, US, Association for the Advancement of Artificial Intelligence (AAAI)
- External Guidance Incomplete Cross-modal Hashing, Chen, J., Pu, R., Peng, D., Song, X., Chen, Y., Sun, Y. 18 Mar 2026, In: IEEE Transactions on Image Processing
- Granular-Ball Subspace-Based Fuzzy Neighborhood Anomaly Detector, Wang, S., Su, X., Peng, D., Peng, X., Chen, H., Chen, Y., Yuan, Z. 4 Jun 2026, In: IEEE Transactions on Fuzzy Systems
- Integrating Wound Images and Clinical Text for Pressure Injury Assessment and Treatment Recommendation, Wang, B., Wang, Y., Sun, T., Chen, Y., Liu, L., Li, C., Yan, J. 29 May 2026, In: Bioengineering
- Learning Beyond Domains: Misleading Prompts and Pseudo-Label Contrast for Text Domain Generalization, Li, Q., Wang, X., Chen, Y., Yan, M., Peng, D., Peng, X., Wang, X. 17 Mar 2026, Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence, Washington, US, Association for the Advancement of Artificial Intelligence (AAAI)
- Neighbor-aware Instance Refining with Noisy Labels for Cross-Modal Retrieval, Liu, Y., Pu, R., Xu, S., Chen, Y., Liu, Q., Sun, Y. 17 Mar 2026, Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence, Washington, US, Association for the Advancement of Artificial Intelligence (AAAI)
- Optimal transport filtering for robust cross-modal retrieval with open-set noisy labels, Liu, X., Pu, R., Sun, Y., Chen, Y., Huang, S., Peng, D., Sang, Y., Wang, Z. 3 Mar 2026, In: Pattern Recognition
- A Reliable Deep Learning Model for ECG Interpretation: Mitigating Overconfidence and Direct Uncertainty Quantification, Li, X., Zheng, Q., Zhang, S., Fu, S., Chen, Y., Ye, K. 20 May 2025, In: Symmetry
- DFNO: Detecting Fuzzy Neighborhood Outliers, Yuan, Z., Hu, P., Chen, H., Chen, Y., Li, Q. 1 Jan 2025, In: IEEE Transactions on Knowledge and Data Engineering
- Granular-ball computing guided anomaly detection for hybrid attribute data, Su, X., Wang, X., Peng, D., Chen, H., Chen, Y., Yuan, Z. 1 Jun 2025, In: International Journal of Machine Learning and Cybernetics
Computing Science PhD July 01 2013
Latest News and Features
AI in policing: safeguards can't keep up, new research warns
Artificial intelligence is being adopted across policing and the wider criminal justice system…
Northumbria in top 35 universities worldwide for sustainability
ֲýƵ is officially one of the best universities in the world for sustainability,…
.png?modified=20260624091022)
ֲýƵ launches The North Edit Magazine
ֲýƵ has published the first edition of The North Edit, a new high-quality…
Northumbria researchers provide economic evidence base for shift away from animal testing
New research commissioned by Lush shows the UK's non-animal methods sector grew to more than…
More power, less noise: what wind energy can learn from wildlife
A ֲýƵ researcher has secured a prestigious national grant to redesign wind…
More events
Upcoming events
-
REVEAL Architecture
Architecture Studios
-
REVEAL Interior Design
City Campus East 2
-
REVEAL Fashion Exhibition
City Campus East 2
