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MxT: Mamba x Transformer for Image Inpainting (2024)
Presentation / Conference Contribution
Chen, S., Atapour-Abarghouei, A., Zhang, H., & Shum, H. P. H. (2024, November). MxT: Mamba x Transformer for Image Inpainting. Presented at BMVC 2024: The 35th British Machine Vision Conference, Glasgow, UK

Image inpainting, or image completion, is a crucial task in computer vision that aims to restore missing or damaged regions of images with semantically coherent content. This technique requires a precise balance of local texture replication and globa... Read More about MxT: Mamba x Transformer for Image Inpainting.

A Novel Hybrid Improved RIME Algorithm for Global Optimization Problems (2024)
Journal Article
Li, W., Yang, X., Yin, Y., & Wang, Q. (2025). A Novel Hybrid Improved RIME Algorithm for Global Optimization Problems. Biomimetics, 10(1), Article 14. https://doi.org/10.3390/biomimetics10010014

The RIME algorithm is a novel physical-based meta-heuristic algorithm with a strong ability to solve global optimization problems and address challenges in engineering applications. It implements exploration and exploitation behaviors by constructing... Read More about A Novel Hybrid Improved RIME Algorithm for Global Optimization Problems.

SYCL compute kernels for ExaHyPE (2024)
Presentation / Conference Contribution
Loi, C. M., Bockhorst, H., & Weinzierl, T. (2024, March). SYCL compute kernels for ExaHyPE. Presented at 2024 SIAM Conference on Parallel Processing for Scientific Computing (PP), Baltimore, MD

We discuss three SYCL realisations of a simple Finite Volume scheme over multiple Cartesian patches. The realisation flavours differ in the way how they map the compute steps onto loops and tasks: We compare an implementation that is exclusively usin... Read More about SYCL compute kernels for ExaHyPE.

Predator-Prey Q-Learning Based Collaborative Coverage Path Planning for Swarm Robotics (2024)
Presentation / Conference Contribution
Watson, M., Ren, H., Arvin, F., & Hu, J. (2024, August). Predator-Prey Q-Learning Based Collaborative Coverage Path Planning for Swarm Robotics. Presented at 2024 Annual Conference Towards Autonomous Robotic Systems (TAROS), London

Coverage Path Planning (CPP) is an effective approach to let intelligent robots cover an area by finding feasible paths through the environment. In this paper, we focus on using reinforcement learning to learn about a given environment and find the m... Read More about Predator-Prey Q-Learning Based Collaborative Coverage Path Planning for Swarm Robotics.

A Leader-Follower Collective Motion in Robotic Swarms (2024)
Presentation / Conference Contribution
Bahaidarah, M., Marjanovic, O., Rekabi-bana, F., & Arvin, F. (2024, August). A Leader-Follower Collective Motion in Robotic Swarms. Presented at TAROS 2024: Towards Autonomous Robotic Systems, London, UK

Collective Motion (CM) is a basic phenomenon observed in nature, such as in birds, insects, and schooling fish. In swarm robotics, virtual links among the swarm members generate attractive and repulsive forces to attain self-organised CM behaviour. H... Read More about A Leader-Follower Collective Motion in Robotic Swarms.

The threshold of existence of δ-temporal cliques in random simple temporal graphs (2024)
Presentation / Conference Contribution
Mertzios, G. B., Nikoletseas, S., Raptopoulos, C., & Spirakis, P. (2024, September). The threshold of existence of δ-temporal cliques in random simple temporal graphs. Presented at The 20th International Symposium on Algorithmics of Wireless Networks (ALGOWIN), Egham, London, United Kingdom

Reconfigurable routing in data center networks (2024)
Presentation / Conference Contribution
Kutner, D. C., & Stewart, I. A. (2024, September). Reconfigurable routing in data center networks. Presented at 20th International Symposium on Algorithmics of Wireless Networks, ALGOWIN 2024, Egham, UK

A hybrid network is a static (electronic) network that is augmented with optical switches. The Reconfigurable Routing Problem (RRP) in hybrid networks is the problem of finding settings for the optical switches augmenting a static network so as to ac... Read More about Reconfigurable routing in data center networks.

Delving into female breast cancer: Distinct disease-specific survival outcomes between invasive lobular and ductal carcinomas revealed by propensity score matching (2024)
Journal Article
Zhang, W., Huang, Y., Zhou, Y., Xue, J., Gao, S., Kang, L., Shi, J., Zhou, T., Duan, Y., Guo, S., & Li, Q. (2024). Delving into female breast cancer: Distinct disease-specific survival outcomes between invasive lobular and ductal carcinomas revealed by propensity score matching. PLoS ONE, 19(12), Article e0300116. https://doi.org/10.1371/journal.pone.0300116

Purpose: The difference in prognosis between invasive lobular carcinoma (ILC) and invasive ductal carcinoma (IDC) is still controversial in the academic community. Resolving this controversy can help to more accurately determine patients’ prognosis,... Read More about Delving into female breast cancer: Distinct disease-specific survival outcomes between invasive lobular and ductal carcinomas revealed by propensity score matching.

Analysis of the Impact of Knowledge on Sustainable Travel Choices: an Empirical Study with Informational Videos and Gamified Quizzes (2024)
Journal Article
Murad, S., & Law, E. L.-C. (online). Analysis of the Impact of Knowledge on Sustainable Travel Choices: an Empirical Study with Informational Videos and Gamified Quizzes. Interacting with Computers, https://doi.org/10.1093/iwc/iwae056

Carbon emissions from transport are increasing on a global scale with transport accounting for the largest portion. While there is greater awareness of climate change, few people are willing to change their travel habits. To gain a better understandi... Read More about Analysis of the Impact of Knowledge on Sustainable Travel Choices: an Empirical Study with Informational Videos and Gamified Quizzes.