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10/12/2021
Crystal Diffusion Variational Autoencoder for Periodic Material Generation
Generating the periodic structure of stable materials is a long-standing...
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01/13/2021
Accelerating the screening of amorphous polymer electrolytes by learning to reduce random and systematic errors in molecular dynamics simulations
Machine learning has been widely adopted to accelerate the screening of ...
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01/07/2021
GraphHop: An Enhanced Label Propagation Method for Node Classification
A scalable semi-supervised node classification method on graph-structure...
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09/09/2020
Boosting Retailer Revenue by Generated Optimized Combined Multiple Digital Marketing Campaigns
Campaign is a frequently employed instrument in lifting up the GMV (Gros...
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08/24/2020
On the Power Leakage Problem in Millimeter-Wave Massive MIMO with Lens Antenna Arrays
The emerging millimeter-wave (mmWave) massive multiple-input multiple-ou...
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06/27/2019
Adversarial Representation Learning on Large-Scale Bipartite Graphs
Graph representation on large-scale bipartite graphs is central for a va...
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03/26/2019
Domain Representation for Knowledge Graph Embedding
Embedding entities and relations into a continuous multi-dimensional vec...
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02/18/2019
Graph Dynamical Networks: Unsupervised Learning of Atomic Scale Dynamics in Materials
Understanding the dynamical processes that govern the performance of fun...
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11/27/2018
The Untold Secrets of Operational Wi-Fi Calling Services: Vulnerabilities, Attacks, and Countermeasures
Since 2016, all of four major U.S. operators have rolled out nationwide ...
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07/09/2018
Hierarchical Visualization of Materials Space with Graph Convolutional Neural Networks
The combination of high throughput computation and machine learning has ...
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12/09/2017