Mingliang Wang

According to our database1, Mingliang Wang authored at least 42 papers between 2008 and 2021.

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Bibliography

2021
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity.
IEEE Trans. Medical Imaging, 2021

Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI.
Medical Image Anal., 2021

2020
Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation.
IEEE Trans. Medical Imaging, 2020

Coherent Pattern in Multi-Layer Brain Networks: Application to Epilepsy Identification.
IEEE J. Biomed. Health Informatics, 2020

High-Order Feature Learning for Multi-Atlas Based Label Fusion: Application to Brain Segmentation With MRI.
IEEE Trans. Image Process., 2020

Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network.
IEEE Trans. Biomed. Eng., 2020

Hierarchical Structured Sparse Learning for Schizophrenia Identification.
Neuroinformatics, 2020

A novel node-level structure embedding and alignment representation of structural networks for brain disease analysis.
Medical Image Anal., 2020

A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis.
CoRR, 2020

Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease.
Comput. Medical Imaging Graph., 2020

Identification of nonlinear kinetics of macroscopic bio-reactions using multilinear Gaussian processes.
Comput. Chem. Eng., 2020

The generalized Cole-Hopf transformation to a general variable coefficient Burgers equation with linear damping term.
Appl. Math. Lett., 2020

Hierarchical Representation Learning of Dynamic Brain Networks for Schizophrenia Diagnosis.
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

Estimation of Heteroscedastic Multilinear Systems.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Unscented Bayes Methods for Hierarchical Gaussian Processes.
Proceedings of the Australian and New Zealand Control Conference, 2020

2019
Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data.
Medical Image Anal., 2019

Decay mode solution of nonlinear boundary-initial value problems for the cylindrical (spherical) Boussinesq-Burgers equations.
Appl. Math. Lett., 2019

Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019

A Multi-Step Least-Squares Method for Nonlinear Rational Models.
Proceedings of the 2019 American Control Conference, 2019

Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Two-soliton solution to a generalized KP equation with general variable coefficients.
Appl. Math. Lett., 2018

Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

A Real-time Monocular Tracking Method for Low-Cost Mobile Robot.
Proceedings of the IEEE International Conference on Information and Automation, 2018

COFRD: A Code Offloading Framework for Rapid Deployment of Android Applications.
Proceedings of the 7th IEEE International Conference on Cloud Networking, 2018

An 8 to 3 Priority Encoder Based on DNA Strand Displacement.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2018

2017
Real-Time Estimation of Temperature Distribution for Cylindrical Lithium-Ion Batteries Under Boundary Cooling.
IEEE Trans. Ind. Electron., 2017

Track-to-Track Association by Coherent Point Drift.
IEEE Signal Process. Lett., 2017

N-dimensional Auto-Bäcklund transformation and exact solutions to n-dimensional Burgers system.
Appl. Math. Lett., 2017

Accuracy analysis and optimal design of palletizing robot with joint clearance.
Proceedings of the 2017 IEEE International Conference on Real-time Computing and Robotics, 2017

Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Deep & Cross Network for Ad Click Predictions.
Proceedings of the ADKDD'17, Halifax, NS, Canada, August 13 - 17, 2017, 2017

Two-Degree-of-Freedom Mechanisms Design Based on Parasitic Motion Maximization.
Proceedings of the Intelligent Robotics and Applications - 10th International Conference, 2017

2016
Deep Learning-Based Model Reduction for Distributed Parameter Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2016

RF low power subsampling architecture for wireless communication applications.
EURASIP J. Wirel. Commun. Netw., 2016

Decay mode solutions to cylindrical KP equation.
Appl. Math. Lett., 2016

Deep auto-encoder in model reduction of lage-scale spatiotemporal dynamics.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Intelligent Modeling of Internal States for Battery.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

2014
Parameter estimation of two-level nonlinear mixed effects models using first order conditional linearization and the EM algorithm.
Comput. Stat. Data Anal., 2014

2013
A monolithic 12-bit digitally calibrated D/A converter.
Proceedings of the 20th IEEE International Conference on Electronics, 2013

2010
Object-oriented stream programming using aspects.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

2009
Solving Sparse Linear Systems on NVIDIA Tesla GPUs.
Proceedings of the Computational Science, 2009

2008
Application of the (G'/G)-expansion to travelling wave solutions of the Broer-Kaup and the approximate long water wave equations.
Appl. Math. Comput., 2008


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