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Outputs (3077)

Talking Face Generation with Lip and Identity Priors (2025)
Journal Article
Wu, J., Li, F. W. B., Tam, G. K. L., Yang, B., Nan, F., & Pan, J. (2025). Talking Face Generation with Lip and Identity Priors. Computer Animation and Virtual Worlds, 36(3), Article e70026. https://doi.org/10.1002/cav.70026

Speech-driven talking face video generation has attracted growing interest in recent research. While person-specific approaches yield high-fidelity results, they require extensive training data from each individual speaker. In contrast, general-purpo... Read More about Talking Face Generation with Lip and Identity Priors.

Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models (2025)
Presentation / Conference Contribution
Leask, P., & Al Moubayed, N. (2025, July). Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models. Presented at International Conference on Machine Learning (ICML 2025), Vancouver, Canada

Sparse Autoencoders (SAEs) are a popular method for decomposing Large Language Model (LLM) activations into interpretable latents, however they have a substantial training cost and SAEs learned on different models are not directly comparable. Motivat... Read More about Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models.

CLN: A multi-task deep neural network for chest X-ray image localisation and classification (2025)
Journal Article
Okolo, G. I., Katsigiannis, S., & Ramzan, N. (online). CLN: A multi-task deep neural network for chest X-ray image localisation and classification. Expert Systems with Applications, Article 128162. https://doi.org/10.1016/j.eswa.2025.128162

Chest X-ray (CXR) imaging is a widely used and cost-effective medical imaging technique for detecting various pathologies. However, accurate interpretation of CXR images is a challenging and time-consuming task that requires expert radiologists. Alth... Read More about CLN: A multi-task deep neural network for chest X-ray image localisation and classification.

Service-the-Longest-Queue Among d Choices Policy for Quantum Entanglement Switching (2025)
Presentation / Conference Contribution
Yau, G. X., Vasantam, T., & Vardoyan, G. (2025, March). Service-the-Longest-Queue Among d Choices Policy for Quantum Entanglement Switching. Presented at QCNC2025: International Conference on Quantum Communications, Networking, and Computing, Nara, Japan

An Entanglement Generation Switch (EGS) is a quantum network hub that provides entangled states to a set of connected nodes by enabling them to share a limited number of hub resources. As entanglement requests arrive, they join dedicated queues corre... Read More about Service-the-Longest-Queue Among d Choices Policy for Quantum Entanglement Switching.

weDecide: Clinical Tool for Shared Decision-Making for Treatment of Menopause Symptoms (2025)
Presentation / Conference Contribution
Bencomo, N., Horrocks, J., Walton, D., & Samin, H. (2025, June). weDecide: Clinical Tool for Shared Decision-Making for Treatment of Menopause Symptoms. Presented at BMS Annual Scientific Conference 2025, Chesford Grange, Kenilworth, UK

This work introduces weDecide, an AI/ML-based clinical tool designed to support personalised and shared decision-making (PSDM) for menopause treatment. The tool combines explainable machine learning models with multi-criteria decision-making methods... Read More about weDecide: Clinical Tool for Shared Decision-Making for Treatment of Menopause Symptoms.

High-Throughput Wireless Uplink Transmissions Using Self-Powered Hybrid RISs (2025)
Presentation / Conference Contribution
Yuan, M., Chen, L., Huang, G., Tu, W., Huang, Z., & Alshaali, M. (2025, March). High-Throughput Wireless Uplink Transmissions Using Self-Powered Hybrid RISs. Presented at 2025 IEEE Wireless Communications and Networking Conference (WCNC), Milan, Italy

This article investigates the uplink of a reconfigurable intelligent surface (RIS)-assisted wireless communication system. In this uplink, the RIS is powered by the energy harvested from ambient energy sources, and assists multiple users in uploading... Read More about High-Throughput Wireless Uplink Transmissions Using Self-Powered Hybrid RISs.

Comparing width parameters on graph classes (2025)
Journal Article
Brettell, N., Munaro, A., Paulusma, D., & Yang, S. (2025). Comparing width parameters on graph classes. European Journal of Combinatorics, 127, Article 104163. https://doi.org/10.1016/j.ejc.2025.104163

We study how the relationship between non-equivalent width parameters changes once we restrict to some special graph class. As width parameters we consider treewidth, clique-width, twin-width, mim-width, sim-width and tree-independence number, wherea... Read More about Comparing width parameters on graph classes.