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06/23/2023
Torsion Graph Neural Networks
Geometric deep learning (GDL) models have demonstrated a great potential...
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03/06/2023
Depression Detection Using Digital Traces on Social Media: A Knowledge-aware Deep Learning Approach
Depression is a common disease worldwide. It is difficult to diagnose an...
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11/13/2022
Towards a performance bound on MIMO DFRC systems
It is a fundamental problem to analyse the performance bound of multiple...
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11/08/2022
Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT
Health sensing for chronic disease management creates immense benefits f...
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08/30/2022
Spacecraft depth completion based on the gray image and the sparse depth map
Perceiving the three-dimensional (3D) structure of the spacecraft is a p...
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07/04/2022
Comparing Unit Trains versus Manifest Trains for the Risk of Rail Transport of Hazardous Materials – Part II: Application and Case Study
Built upon the risk analysis methodology (presented in the part I paper)...
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07/04/2022
Comparing Unit Trains versus Manifest Trains for the Risk of Rail Transport of Hazardous Materials – Part I: Risk Analysis Methodology
Transporting hazardous materials (hazmats) using tank cars has more sign...
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06/01/2022
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder
Recently most successful image synthesis models are multi stage process ...
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12/06/2021
AoI-Constrained Bandit: Information Gathering over Unreliable Channels with Age Guarantees
Age-of-Information (AoI) is an application layer metric that has been wi...
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09/02/2021
Transmit Design for Joint MIMO Radar and Multiuser Communications with Transmit Covariance Constraint
In this paper, we consider the design of a multiple-input multiple-outpu...
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01/11/2021
Time-Series Regeneration with Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation
For health prognostic task, ever-increasing efforts have been focused on...
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11/24/2020
Multi-Features Guidance Network for partial-to-partial point cloud registration
To eliminate the problems of large dimensional differences, big semantic...
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08/14/2020
Neural Network-based Automatic Factor Construction
Instead of conducting manual factor construction based on traditional an...
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08/06/2020
Deep Learning Based Defect Detection for Solder Joints on Industrial X-Ray Circuit Board Images
Quality control is of vital importance during electronics production. As...
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06/24/2020
Dynamic Population Estimation Using Anonymized Mobility Data
Fine population distribution both in space and in time is crucial for ep...
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02/09/2020
FSD-10: A Dataset for Competitive Sports Content Analysis
Action recognition is an important and challenging problem in video anal...
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01/23/2020
Phoenixmap: An Abstract Approach to Visualize 2D Spatial Distributions
The multidimensional nature of spatial data poses a challenge for visual...
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01/22/2020
PENet: Object Detection using Points Estimation in Aerial Images
Aerial imagery has been increasingly adopted in mission-critical tasks, ...
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12/26/2019
Alpha Discovery Neural Network based on Prior Knowledge
In financial automatic feature construction task, genetic programming is...
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03/03/2019
Multiple Learning for Regression in big data
Regression problems that have closed-form solutions are well understood ...
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01/11/2019
Color Recognition for Rubik's Cube Robot
In this paper, we proposed three methods to solve color recognition of R...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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10/25/2018
Perceptual Visual Interactive Learning
Supervised learning methods are widely used in machine learning. However...
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11/22/2017
Sparse Variable Selection on High Dimensional Heterogeneous Data with Tree Structured Responses
We consider the problem of sparse variable selection on high dimension h...
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11/11/2017
A Sparse Graph-Structured Lasso Mixed Model for Genetic Association with Confounding Correction
While linear mixed model (LMM) has shown a competitive performance in co...
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05/07/2017
A New Medical Diagnosis Method Based on Z-Numbers
How to handle uncertainty in medical diagnosis is an open issue. In this...
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06/12/2016
