Shouyi Wang

发表

Pattern- and Network-Based Classification Techniques for Multichannel Medical Data Signals to Improve Brain Diagnosis

Ya-Ju Fan, W. Art Chaovalitwongse, Leonidas D. Iasemidis, 2011, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

A Novel Probabilistic Framework to Personalize Online Epileptic Seizure Prediction

Shouyi Wang, 2014 .

Evaluating and Comparing Forecasting Models

Wanpracha Art Chaovalitwongse, Shouyi Wang, W. Chaovalitwongse, 2011 .

An fNIRS-Based Feature Learning and Classification Framework to Distinguish Hemodynamic Patterns in Children Who Stutter

Fenghua Tian, Rahilsadat Hosseini, Bridget Walsh, 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Discriminative Spectral Pattern Analysis for Positive Margin Detection of Prostate Cancer Specimens using Light Reflectance Spectroscopy

J. Cadeddu, P. Kapur, Shouyi Wang, 2018 .

Sensitivity analysis of FDG PET tumor voxel cluster radiomics and dosimetry for predicting mid-chemoradiation regional response of locally advanced lung cancer

L. Pierce, Paul Kinahan, W. Chaovalitwongse, 2020, Physics in medicine and biology.

A Patient-Specific Model for Predicting Tibia Soft Tissue Insertions From Bony Outlines Using a Spatial Structure Supervised Learning Framework

W. Art Chaovalitwongse, Cao Xiao, Liying Zheng, 2016, IEEE Transactions on Human-Machine Systems.

Cost-effectiveness of patient-specific motion management strategy in lung cancer radiation therapy planning

W. Chaovalitwongse, Shouyi Wang, S. Bowen, 2019, The Engineering Economist.

EEG Source Imaging using GANs with Deep Image Prior

Shouyi Wang, Yaxin Guo, Meng Jiao, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Online monitoring and prediction of complex time series events from nonstationary time series data

Shouyi Wang, Shouyi Wang, 2012 .

Boost-S: Gradient Boosted Trees for Spatial Data and Its Application to FDG-PET Imaging Data

W. Art Chaovalitwongse, Jing Zeng, Stephen R. Bowen, 2021, 2101.11190.

Machine Learning Algorithms in Bipedal Robot Control

W. Art Chaovalitwongse, Robert Babuska, Shouyi Wang, 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Respiratory trace feature analysis for the prediction of respiratory-gated PET quantification

Paul E Kinahan, Stephen R Bowen, Thomas J Grabowski, 2014, Physics in medicine and biology.

Probing Protein Allostery as a Residue-Specific Concept via Residue Response Maps

Shouyi Wang, Peng Tao, Hamed S. Hayatshahi, 2019, J. Chem. Inf. Model..

Multitask Learning Radiomics on Longitudinal Imaging to Predict Survival Outcomes following Risk-Adaptive Chemoradiation for Non-Small Cell Lung Cancer

W. Chaovalitwongse, Shouyi Wang, D. Hippe, 2022, Cancers.

Using Wireless EEG Signals to Assess Memory Workload in the $n$-Back Task

Jacek Gwizdka, W. Art Chaovalitwongse, Shouyi Wang, 2016, IEEE Transactions on Human-Machine Systems.

A gradient-based adaptive learning framework for online seizure prediction

W. Art Chaovalitwongse, Shouyi Wang, Stephen Wong, 2014, Int. J. Data Min. Bioinform..

Online Seizure Prediction Using an Adaptive Learning Approach

W. Art Chaovalitwongse, Shouyi Wang, Stephen Wong, 2013, IEEE Transactions on Knowledge and Data Engineering.

Online Prediction of Driver Distraction Based on Brain Activity Patterns

W. Art Chaovalitwongse, Changxu Wu, Shouyi Wang, 2015, IEEE Transactions on Intelligent Transportation Systems.

Wind farm layout optimization using adaptive evolutionary algorithm with Monte Carlo Tree Search reinforcement learning

Shouyi Wang, Feng Liu, Fangyun Bai, 2021, Energy Conversion and Management.

An Adaptive Pattern Learning Framework to Personalize Online Seizure Prediction

Cao Xiao, Shouyi Wang, Stephen Wong, 2017, IEEE Transactions on Big Data.

A novel reinforcement learning framework for online adaptive seizure prediction

W. Art Chaovalitwongse, Shouyi Wang, Stephen Wong, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Prediction of Seizure Spread Network via Sparse Representations of Overcomplete Dictionaries

Wei Xiang, Feng Liu, Shouyi Wang, 2016, BIH.

Temporal dynamics of eye‐tracking and EEG during reading and relevance decisions

Jacek Gwizdka, Michael J. Cole, Shouyi Wang, 2017, J. Assoc. Inf. Sci. Technol..

Uncovering Dynamic Functional Connectivity of Parkinson's Disease Using Topological Features and Sparse Group Lasso

W. Art Chaovalitwongse, Wei Xiang, Shouyi Wang, 2018, BI.

Early Detection of Numerical Typing Errors Using Data Mining Techniques

W. Art Chaovalitwongse, Changxu Wu, Shouyi Wang, 2011, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

An Interactive Multisensing Framework for Personalized Human Robot Collaboration and Assistive Training Using Reinforcement Learning

Fillia Makedon, Rada Mihalcea, Mihai Burzo, 2017, PETRA.

An integrated feature ranking and selection framework for ADHD characterization

T. Grabowski, W. Chaovalitwongse, S. Mehta, 2016, Brain Informatics.

An integrated feature ranking and selection framework for ADHD characterization

W. Art Chaovalitwongse, Cao Xiao, Shouyi Wang, 2016, Brain Informatics.

Emotion Recognition and EEG Analysis Using ADMM-Based Sparse Group Lasso

Jung-Chih Chiao, Jay Rosenberger, Jodi Tommerdahl, 2019, IEEE Transactions on Affective Computing.

Graph Regularized EEG Source Imaging with In-Class Consistency and Out-Class Discrimination

Feng Liu, Jianzhong Su, Shouyi Wang, 2017, IEEE Transactions on Big Data.

Supervised EEG Source Imaging with Graph Regularization in Transformed Domain

Feng Liu, Jianzhong Su, Shouyi Wang, 2017, BI.

Supervised Discriminative EEG Brain Source Imaging with Graph Regularization

Feng Liu, Shouyi Wang, Jay Rosenberger, 2017, MICCAI.

A Novel Mutual-Information-Guided Sparse Feature Selection Approach for Epilepsy Diagnosis Using Interictal EEG Signals

W. Art Chaovalitwongse, Cao Xiao, Shouyi Wang, 2016, BIH.

Pattern-Based Variant-Best-Neighbors Respiratory Motion Prediction Using Orthogonal Polynomials Approximation

W. Art Chaovalitwongse, Shouyi Wang, KinMing Kam, 2015, AAAI.

A Sparse Dictionary Learning Framework to Discover Discriminative Source Activations in EEG Brain Mapping

Hanli Liu, Feng Liu, Jianzhong Su, 2017, AAAI.

EEG source imaging based on spatial and temporal graph structures

Feng Liu, Shouyi Wang, Jing Qin, 2017, 2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA).

Pattern Classification and Analysis of Memory Processing in Depression Using EEG Signals

Heekyeong Park, Shouyi Wang, Kin Ming Puk, 2016, BIH.

Estimating Latent Brain Sources with Low-Rank Representation and Graph Regularization

Feng Liu, Shouyi Wang, Yifei Lou, 2018, BI.