86 citations · 130 across the 9 of their papers we have counts for
9 papers
Extreme events generated in microcavity lasers and their predictions by reservoir computing
T. Wang, H. X. Zhou, Q. Fang +8
Extreme events generated by complex systems have been intensively studied in many fields due to their great impact on scientific research and our daily lives. However, their predic…
Reservoir computing and task performing through using high- lasers with delayed optical feedback
T. Wang, C. Jiang, Q. Fang +4
Nonlinear photonic sources including semiconductor lasers have recently been utilized as ideal computation elements for information processing. They supply energy-efficient way and…
A multi-cubic-kilometre neutrino telescope in the western Pacific Ocean
Z. P. Ye, F. Hu, W. Tian +54
Next-generation neutrino telescopes with significantly improved sensitivity are required to pinpoint the sources of the diffuse astrophysical neutrino flux detected by IceCube and…
DASP: Defect and Dopant ab-initio Simulation Package
Menglin Huang, Zhengneng Zheng, Zhenxing Dai +5
In order to perform automated calculations of defect and dopant properties in semiconductors and insulators, we developed a software package, Defect and Dopant ab-initio Simulation…
Automatic Group Cohesiveness Detection With Multi-modal Features
Bin Zhu, Xin Guo, Kenneth Barner +1
Group cohesiveness is a compelling and often studied composition in group dynamics and group performance. The enormous number of web images of groups of people can be used to devel…
Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use Cases
Xin Guo, Luisa F. Polania, Bin Zhu +2
A graph neural network (GNN) for image understanding based on multiple cues is proposed in this paper. Compared to traditional feature and decision fusion approaches that neglect t…
An Improved multi-objective genetic algorithm based on orthogonal design and adaptive clustering pruning strategy
Xinwu Yang, Guizeng You, Chong Zhao +2
Two important characteristics of multi-objective evolutionary algorithms are distribution and convergency. As a classic multi-objective genetic algorithm, NSGA-II is widely used in…
Bayesian Convolutional Neural Networks for Compressed Sensing Restoration
Xinjie Lan, Xin Guo, Kenneth E. Barner
Deep Neural Networks (DNNs) have aroused great attention in Compressed Sensing (CS) restoration. However, the working mechanism of DNNs is not explainable, thereby it is unclear th…
Smile detection in the wild based on transfer learning
Xin Guo, Luisa F. Polanía, Kenneth E. Barner
Smile detection from unconstrained facial images is a specialized and challenging problem. As one of the most informative expressions, smiles convey basic underlying emotions, such…