31 citations
6 papers
Understanding the Design Principles of Link Prediction in Directed Settings
Jun Zhai, Muberra Ozmen, Thomas Markovich
Link prediction is a widely studied task in Graph Representation Learning (GRL) for modeling relational data. The early theories in GRL were based on the assumption of a symmetric…
Content-driven Magnitude-Derivative Spectrum Complementary Learning for Hyperspectral Image Classification
Huiyan Bai, Tingfa Xu, Huan Chen +2
Extracting discriminative information from complex spectral details in hyperspectral image (HSI) for HSI classification is pivotal. While current prevailing methods rely on spectra…
Decentralised Governance for Autonomous Cyber-Physical Systems
Kelsie Nabben, Hongyang Wang, Michael Zargham
This paper examines the potential for Cyber-Physical Systems (CPS) to be governed in a decentralised manner, whereby blockchain-based infrastructure facilitates the communication b…
Real-time Risk Metrics for Programmatic Stablecoin Crypto Asset-Liability Management (CALM)
Marcel Bluhm, Adrian Cachinero Vasiljević, Sébastien Derivaux +1
Stablecoins have turned out to be the "killer" use case of the growing digital asset space. However, risk management frameworks, including regulatory ones, have been largely absent…
LCPR: A Multi-Scale Attention-Based LiDAR-Camera Fusion Network for Place Recognition
Zijie Zhou, Jingyi Xu, Guangming Xiong +1
Place recognition is one of the most crucial modules for autonomous vehicles to identify places that were previously visited in GPS-invalid environments. Sensor fusion is considere…
A Distributed Synchronous SGD Algorithm with Global Top- Sparsification for Low Bandwidth Networks
Shaohuai Shi, Qiang Wang, Kaiyong Zhao +4
Distributed synchronous stochastic gradient descent (S-SGD) has been widely used in training large-scale deep neural networks (DNNs), but it typically requires very high communicat…