Yuning Yang

Orcid: 0000-0003-1805-4210

According to our database1, Yuning Yang authored at least 62 papers between 2010 and 2024.

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Bibliography

2024
Dense Contrastive-Based Federated Learning for Dense Prediction Tasks on Medical Images.
IEEE J. Biomed. Health Informatics, April, 2024

Practical approximation algorithms for ℓ<sub>1</sub>-regularized sparse rank-1 approximation to higher-order tensors.
Optim. Lett., April, 2024

2023
Half-quadratic alternating direction method of multipliers for robust orthogonal tensor approximation.
Adv. Comput. Math., April, 2023

On global convergence of alternating least squares for tensor approximation.
Comput. Optim. Appl., March, 2023

Learning the User's Deeper Preferences for Multi-modal Recommendation Systems.
ACM Trans. Multim. Comput. Commun. Appl., 2023

A Two-Sided Quaternion Higher-Order Singular Value Decomposition.
CoRR, 2023

Research on Residents' Travel Behavior Based on Multiple Logistic Regression Model.
IEEE Access, 2023

FEDMBP: Multi-Branch Prototype Federated Learning on Heterogeneous Data.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
Genome-wide identification and characterization of DNA enhancers with a stacked multivariate fusion framework.
PLoS Comput. Biol., December, 2022

Hot-SVD: higher order t-singular value decomposition for tensors based on tensor-tensor product.
Comput. Appl. Math., December, 2022

Dynamic surface control for formation control of quadrotors with input constraints and disturbances.
Trans. Inst. Meas. Control, 2022

An Improved Topology Prediction of Alpha-Helical Transmembrane Protein Based on Deep Multi-Scale Convolutional Neural Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Computing the Largest C-Eigenvalue of a Tensor Using Convex Relaxation.
J. Optim. Theory Appl., 2022

On Approximation Algorithm for Orthogonal Low-Rank Tensor Approximation.
J. Optim. Theory Appl., 2022

Several approximation algorithms for sparse best rank-1 approximation to higher-order tensors.
J. Glob. Optim., 2022

Dynamic graph convolution neural network based on spatial-temporal correlation for air quality prediction.
Ecol. Informatics, 2022

Finding the global optimum of a class of quartic minimization problem.
Comput. Optim. Appl., 2022

EDCNN: identification of genome-wide RNA-binding proteins using evolutionary deep convolutional neural network.
Bioinform., 2022

Colorectal cancer subtype identification from differential gene expression levels using minimalist deep learning.
BioData Min., 2022

HCRNet: high-throughput circRNA-binding event identification from CLIP-seq data using deep temporal convolutional network.
Briefings Bioinform., 2022

Best sparse rank-1 approximation to higher-order tensors via a truncated exponential induced regularizer.
Appl. Math. Comput., 2022

Reputation Mechanism Designed for Blockchain Empowered Dynamic Spectrum Sharing System.
Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

2021
A note on Banach's results concerning homogeneous polynomials associated with nonnegative tensors.
Optim. Lett., 2021

Shifted eigenvalue decomposition method for computing C-eigenvalues of a piezoelectric-type tensor.
Comput. Appl. Math., 2021

Identification of haploinsufficient genes from epigenomic data using deep forest.
Briefings Bioinform., 2021

iCircRBP-DHN: identification of circRNA-RBP interaction sites using deep hierarchical network.
Briefings Bioinform., 2021

iDeepSubMito: identification of protein submitochondrial localization with deep learning.
Briefings Bioinform., 2021

2020
The Epsilon-Alternating Least Squares for Orthogonal Low-Rank Tensor Approximation and Its Global Convergence.
SIAM J. Matrix Anal. Appl., 2020

Approximation Algorithms for Sparse Best Rank-1 Approximation to Higher-Order Tensors.
CoRR, 2020

2019
Editorial to The Special Issue on Tensor Image Processing.
Signal Process. Image Commun., 2019

An Extension of Yuan's Lemma to Fourth-Order Tensor System.
J. Optim. Theory Appl., 2019

The global convergence of the Polak-Ribière-Polyak conjugate gradient algorithm under inexact line search for nonconvex functions.
J. Comput. Appl. Math., 2019

Poster: Making Distributed Aggregation Fault-tolerant in Vehicular Networks.
Proceedings of the 2019 IEEE Vehicular Networking Conference, 2019

DMCTOP: Topology Prediction of Alpha-Helical Transmembrane Protein Based on Deep Multi-Scale Convolutional Neural Network.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
A new two-stage mesh surface segmentation method.
Vis. Comput., 2018

Correntropy Based Matrix Completion.
Entropy, 2018

2017
Hardware Efficient Automatic Thresholding for NEO-Based Neural Spike Detection.
IEEE Trans. Biomed. Eng., 2017

A Hardware-Efficient Scalable Spike Sorting Neural Signal Processor Module for Implantable High-Channel-Count Brain Machine Interfaces.
IEEE Trans. Biomed. Circuits Syst., 2017

2016
Robust Low-Rank Tensor Recovery With Regularized Redescending M-Estimator.
IEEE Trans. Neural Networks Learn. Syst., 2016

Robust Gradient Learning With Applications.
IEEE Trans. Neural Networks Learn. Syst., 2016

Rank-1 Tensor Properties with Applications to a Class of Tensor Optimization Problems.
SIAM J. Optim., 2016

Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses.
Neural Comput., 2016

2015
A Rank-One Tensor Updating Algorithm for Tensor Completion.
IEEE Signal Process. Lett., 2015

Learning with the maximum correntropy criterion induced losses for regression.
J. Mach. Learn. Res., 2015

A comparative study on selecting acoustic modeling units in deep neural networks based large vocabulary Chinese speech recognition.
Neurocomputing, 2015

Higher order Matching Pursuit for Low Rank Tensor Learning.
CoRR, 2015

2014
Modified Alternating Direction Methods for the Modified Multiple-Sets Split Feasibility Problems.
J. Optim. Theory Appl., 2014

Approximation Bounds for Trilinear and Biquadratic Optimization Problems Over Nonconvex Constraints.
J. Optim. Theory Appl., 2014

Properties and methods for finding the best rank-one approximation to higher-order tensors.
Comput. Optim. Appl., 2014

Optimization of nonlinear energy operator based spike detection circuit for high density neural recordings.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

Computationally efficient feature denoising filter and selection of optimal features for noise insensitive spike sorting.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Power-area efficient VLSI implementation of decision tree based spike classification for neural recording implants.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

2013
A Comparative Study on Selecting Acoustic Modeling Units in Deep Neural Networks Based Large Vocabulary Chinese Speech Recognition.
Proceedings of the Intelligence Science and Big Data Engineering, 2013

Deep neural networks for syllable based acoustic modeling in Chinese speech recognition.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013

2012
Design and Implementation of a Scalable Hardware Platform for High Speed Optical Tracking
PhD thesis, 2012

On solving biquadratic optimization via semidefinite relaxation.
Comput. Optim. Appl., 2012

Identification and quantification of mixed air pollutants based on homotopy method for gas sensor array.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Further Results for Perron-Frobenius Theorem for Nonnegative Tensors II.
SIAM J. Matrix Anal. Appl., 2011

The relaxed inexact projection methods for the split feasibility problem.
Appl. Math. Comput., 2011

Implantable neural spike detection using lifting-based stationary wavelet transform.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Further Results for Perron-Frobenius Theorem for Nonnegative Tensors.
SIAM J. Matrix Anal. Appl., 2010

Design of a configurable neural Data compression system for intra-cortical implants.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010


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