b'Cheng Cheng'

research

∙ 05/19/2023

Graph Propagation Transformer for Graph Representation Learning

This paper presents a novel transformer architecture for graph represent...

0 Zhe Chen, et al. ∙

research

∙ 09/03/2022

Graph Fourier transforms on directed product graphs

Graph Fourier transform (GFT) is one of the fundamental tools in graph s...

0 Cheng Cheng, et al. ∙

research

∙ 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 ...

0 Helen Zhou, et al. ∙

research

∙ 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...

0 Yang Chen, et al. ∙

research

∙ 05/09/2022

Wiener filters on graphs and distributed polynomial approximation algorithms

In this paper, we consider Wiener filters to reconstruct deterministic a...

0 Cong Zheng, et al. ∙

research

∙ 03/14/2022

MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks

In many personalized recommendation scenarios, the generalization abilit...

0 Yun He, et al. ∙

research

∙ 02/16/2022

Learning to Adapt to Light

Light adaptation or brightness correction is a key step in improving the...

41 Kai-Fu Yang, et al. ∙

research

∙ 10/28/2021

OneFlow: Redesign the Distributed Deep Learning Framework from Scratch

Deep learning frameworks such as TensorFlow and PyTorch provide a produc...

0 Jinhui Yuan, et al. ∙

research

∙ 10/25/2021

Dictionary Learning Using Rank-One Atomic Decomposition (ROAD)

Dictionary learning aims at seeking a dictionary under which the trainin...

0 Cheng Cheng, et al. ∙

research

∙ 10/13/2021

Dictionary Learning with Convex Update (ROMD)

Dictionary learning aims to find a dictionary under which the training d...

0 Cheng Cheng, et al. ∙

research

∙ 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...

0 Xinxu Wei, et al. ∙

research

∙ 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...

8 Xinxu Wei, et al. ∙

research

∙ 04/28/2021

FastAdaBelief: Improving Convergence Rate for Belief-based Adaptive Optimizer by Strong Convexity

The AdaBelief algorithm demonstrates superior generalization ability to ...

0 Yangfan Zhou, et al. ∙

research

∙ 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...

0 Cheng Cheng, et al. ∙

research

∙ 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...

0 Nazar Emirov, et al. ∙

research

∙ 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 ...

0 Andre Alho, et al. ∙

research

∙ 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...

11 Yunxuan Zhang, et al. ∙

research

∙ 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...

0 Cheng Cheng, et al. ∙

research

∙ 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...

0 Yangyuanchen Liu, et al. ∙

research

∙ 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...

0 Cheng Cheng, et al. ∙

research

∙ 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...

17 Helen Zhou, et al. ∙

research

∙ 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...

0 Nazar Emirov, et al. ∙

research

∙ 01/01/2020

Ensemble emotion recognizing with multiple modal physiological signals

Physiological signals that provide the objective repression of human aff...

4 Jing Zhang, et al. ∙

research

∙ 11/11/2019

Knowledge Distillation in Document Retrieval

Complex deep learning models now achieve state of the art performance fo...

0 Siamak Shakeri, et al. ∙

research

∙ 09/21/2019

Combining Machine Learning Models using combo Library

Model combination, often regarded as a key sub-field of ensemble learnin...

0 Yue Zhao, et al. ∙

research

∙ 09/04/2019

Phase retrieval of complex and vector-valued functions

The phase retrieval problem in the classical setting is to reconstruct r...

0 Yang Chen, et al. ∙

research

∙ 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...

0 Wenqian Jiang, et al. ∙

research

∙ 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...

0 Cheng Cheng, et al. ∙

research

∙ 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...

0 Cheng Cheng, et al. ∙

research

∙ 11/18/2017

Measuring Territorial Control in Civil Wars Using Hidden Markov Models: A Data Informatics-Based Approach

Territorial control is a key aspect shaping the dynamics of civil war. D...

0 Therese Anders, et al. ∙

Cheng Cheng

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