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09/06/2023
Spatio-Temporal Contrastive Self-Supervised Learning for POI-level Crowd Flow Inference
Accurate acquisition of crowd flow at Points of Interest (POIs) is pivot...
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05/17/2023
Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing
Many modern tech companies, such as Google, Uber, and Didi, utilize onli...
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04/12/2023
DUFormer: A Novel Architecture for Power Line Segmentation of Aerial Images
Power lines pose a significant safety threat to unmanned aerial vehicles...
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02/09/2023
rMultiNet: An R Package For Multilayer Networks Analysis
This paper develops an R package rMultiNet to analyze multilayer network...
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09/30/2022
A Partially Functional Linear Modeling Framework for Integrating Genetic, Imaging, and Clinical Data
This paper is motivated by the joint analysis of genetic, imaging, and c...
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07/03/2022
Continuous-stage symplectic adapted exponential methods for charged-particle dynamics with arbitrary electromagnetic fields
This paper is devoted to the numerical symplectic approximation of the c...
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02/21/2022
A Deep Learning Approach to Predicting Ventilator Parameters for Mechanically Ventilated Septic Patients
We develop a deep learning approach to predicting a set of ventilator pa...
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12/16/2021
Geometric continuous-stage exponential energy-preserving integrators for charged-particle dynamics in a magnetic field from normal to strong regimes
This paper is concerned with geometric exponential energy-preserving int...
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02/03/2021
Deep Reinforcement Learning-based Task Offloading in Satellite-Terrestrial Edge Computing Networks
In remote regions (e.g., mountain and desert), cellular networks are usu...
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02/10/2020
Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition
We study the problem of community detection in multi-layer networks, whe...
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08/01/2019
Measuring the Clustering Strength of a Network via the Normalized Clustering Coefficient
In this paper, we propose a novel statistic of networks, the normalized ...
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01/07/2019
Semi-supervised learning in unbalanced and heterogeneous networks
Community detection was a hot topic on network analysis, where the main ...
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12/08/2018
Crowdsensing Game with Demand Uncertainties: A Deep Reinforcement Learning Approach
Currently, explosive increase of smartphones with powerful built-in sens...
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10/17/2018
Classification of normal/abnormal heart sound recordings based on multi-domain features and back propagation neural network
This paper aims to classify a single PCG recording as normal or abnormal...
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09/02/2017