23 citations · 72 across the 11 of their papers we have counts for
11 papers
Remaining Useful Life Modelling with an Escalator Health Condition Analytic System
Inez M. Zwetsloot, Yu Lin, Jiaqi Qiu +5
The refurbishment of an escalator is usually linked with its design life as recommended by the manufacturer. However, the actual useful life of an escalator should be determined by…
Deep Learning Illuminates Spin and Lattice Interaction in Magnetic Materials
Teng Yang, Zefeng Cai, Zhengtao Huang +10
Atomistic simulations hold significant value in clarifying crucial phenomena such as phase transitions and energy transport in materials science. Their success stems from the prese…
Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction
Hansheng Xue, Vaibhav Rajan, Yu Lin
Understanding genetic variation, e.g., through mutations, in organisms is crucial to unravel their effects on the environment and human health. A fundamental characterization can b…
Dirac nodal lines in the quasi-one-dimensional ternary telluride TaPtTe
Shaozhu Xiao, Wen-He Jiao, Yu Lin +9
A Dirac nodal-line phase, as a quantum state of topological materials, usually occur in three-dimensional or at least two-dimensional materials with sufficient symmetry operations…
RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning
Hansheng Xue, Vijini Mallawaarachchi, Yujia Zhang +2
Mixed communities of organisms are found in many environments (from the human gut to marine ecosystems) and can have profound impact on human health and the environment. Metagenomi…
Parametric schedulability analysis of a launcher flight control system under reactivity constraints
Étienne André, Emmanuel Coquard, Laurent Fribourg +2
The next generation of space systems will have to achieve more and more complex missions. In order to master the development cost and duration of such systems, an alternative to a…
Query-by-Sketch: Scaling Shortest Path Graph Queries on Very Large Networks
Ye Wang, Qing Wang, Henning Koehler +1
Computing shortest paths is a fundamental operation in processing graph data. In many real-world applications, discovering shortest paths between two vertices empowers us to make f…
Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks
Hansheng Xue, Luwei Yang, Vaibhav Rajan +3
A bipartite network is a graph structure where nodes are from two distinct domains and only inter-domain interactions exist as edges. A large number of network embedding methods ex…
From Aircraft Tracking Data to Network Delay Model: A Data-Driven Approach Considering En-Route Congestion
Yu Lin, Lishuai Li, Pan Ren +2
En-route congestion causes delays in air traffic networks and will become more prominent as air traffic demand will continue to increase yet airspace volume cannot grow. However, m…
Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN
Hansheng Xue, Luwei Yang, Wen Jiang +3
Network embedding aims to learn low-dimensional representations of nodes while capturing structure information of networks. It has achieved great success on many tasks of network a…
Modification of structural disorder by hydrostatic-pressure in superconducting YBaCuO cuprate
H. Huang, H. Jang, M. Fujita +11
Compelling efforts to improve the critical temperature () of superconductors have been made through high-pressure application. Understanding the underlying mechanism behind…