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05/19/2023
Graph Propagation Transformer for Graph Representation Learning
This paper presents a novel transformer architecture for graph represent...
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09/03/2022
Graph Fourier transforms on directed product graphs
Graph Fourier transform (GFT) is one of the fundamental tools in graph s...
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08/28/2022
Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19
With COVID-19 now pervasive, identification of high-risk individuals is ...
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05/12/2022
Graph Fourier transform based on singular value decomposition of directed Laplacian
Graph Fourier transform (GFT) is a fundamental concept in graph signal p...
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05/09/2022
Wiener filters on graphs and distributed polynomial approximation algorithms
In this paper, we consider Wiener filters to reconstruct deterministic a...
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03/14/2022
MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks
In many personalized recommendation scenarios, the generalization abilit...
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02/16/2022
Learning to Adapt to Light
Light adaptation or brightness correction is a key step in improving the...
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10/28/2021
OneFlow: Redesign the Distributed Deep Learning Framework from Scratch
Deep learning frameworks such as TensorFlow and PyTorch provide a produc...
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10/25/2021
Dictionary Learning Using Rank-One Atomic Decomposition (ROAD)
Dictionary learning aims at seeking a dictionary under which the trainin...
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10/13/2021
Dictionary Learning with Convex Update (ROMD)
Dictionary learning aims to find a dictionary under which the training d...
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10/05/2021
DA-DRN: Degradation-Aware Deep Retinex Network for Low-Light Image Enhancement
Images obtained in real-world low-light conditions are not only low in b...
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06/30/2021
BLNet: A Fast Deep Learning Framework for Low-Light Image Enhancement with Noise Removal and Color Restoration
Images obtained in real-world low-light conditions are not only low in b...
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04/28/2021
FastAdaBelief: Improving Convergence Rate for Belief-based Adaptive Optimizer by Strong Convexity
The AdaBelief algorithm demonstrates superior generalization ability to ...
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12/09/2020
Unpacking the Drop in COVID-19 Case Fatality Rates: A Study of National and Florida Line-Level Data
Since the COVID-19 pandemic first reached the United States, the case fa...
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11/23/2020
Distributed algorithms to determine eigenvectors of matrices on spatially distributed networks
Eigenvectors of matrices on a network have been used for understanding s...
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10/22/2020
A simulation-based evaluation of a Cargo-Hitching service for E-commerce using mobility-on-demand vehicles
Time-sensitive parcel deliveries, shipments requested for delivery in a ...
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08/28/2020
Pixel-Face: A Large-Scale, High-Resolution Benchmark for 3D Face Reconstruction
3D face reconstruction is a fundamental task that can facilitate numerou...
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07/22/2020
Preconditioned Gradient Descent Algorithm for Inverse Filtering on Spatially Distributed Networks
Graph filters and their inverses have been widely used in denoising, smo...
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07/06/2020
A micromechanics-informed phase field model for brittle fracture accounting for the unilateral constraint
We propose a new direction-dependent model for the unilateral constraint...
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06/21/2020
Stable Phase Retrieval from Locally Stable and Conditionally Connected Measurements
This paper is concerned with stable phase retrieval for a family of phas...
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06/02/2020
Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning
Respiratory complications due to coronavirus disease COVID-19 have claim...
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03/24/2020
Polynomial graph filter of multiple shifts and distributed implementation of inverse filtering
Polynomial graph filters and their inverses play important roles in grap...
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01/01/2020
Ensemble emotion recognizing with multiple modal physiological signals
Physiological signals that provide the objective repression of human aff...
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11/11/2019
Knowledge Distillation in Document Retrieval
Complex deep learning models now achieve state of the art performance fo...
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09/21/2019
Combining Machine Learning Models using combo Library
Model combination, often regarded as a key sub-field of ensemble learnin...
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09/04/2019
Phase retrieval of complex and vector-valued functions
The phase retrieval problem in the classical setting is to reconstruct r...
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04/01/2019
A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series
This paper proposes a novel fault diagnosis approach based on generative...
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12/08/2018
Online Bearing Remaining Useful Life Prediction Based on a Novel Degradation Indicator and Convolutional Neural Networks
In industrial applications, nearly half the failures of motors are cause...
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01/17/2018
Stable Phaseless Sampling and Reconstruction of Real-Valued Signals with Finite Rate of Innovations
A spatial signal is defined by its evaluations on the whole domain. In t...
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11/18/2017