7 citations · 7 across the 4 of their papers we have counts for
4 papers
Estimating Voltage Drop: Models, Features and Data Representation Towards a Neural Surrogate
Yifei Jin, Dimitrios Koutlis, Hector Bandala +1
Accurate estimation of voltage drop (IR drop) in modern Application-Specific Integrated Circuits (ASICs) is highly time and resource demanding, due to the growing complexity and th…
Learning Cellular Coverage from Real Network Configurations using GNNs
Yifei Jin, Marios Daoutis, Sarunas Girdzijauskas +1
Cellular coverage quality estimation has been a critical task for self-organized networks. In real-world scenarios, deep-learning-powered coverage quality estimation methods cannot…
Open World Learning Graph Convolution for Latency Estimation in Routing Networks
Yifei Jin, Marios Daoutis, Sarunas Girdzijauskas +1
Accurate routing network status estimation is a key component in Software Defined Networking. However, existing deep-learning-based methods for modeling network routing are not abl…
Unsupervised Key-phrase Extraction and Clustering for Classification Scheme in Scientific Publications
Xiajing Li, Marios Daoutis
Several methods have been explored for automating parts of Systematic Mapping (SM) and Systematic Review (SR) methodologies. Challenges typically evolve around the gaps in semantic…