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Zhishan Guo

Showing results (1-10 of 20) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|September 4, 2015
A Neurodynamic Approach for Real-Time Scheduling via Maximizing Piecewise Linear UtilityZhishan Guo, Sanjoy K Baruah
Neural Networks : the Official Journal of the International Neural Network Society|October 25, 2011
A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimizationQingshan Liu, Zhishan Guo, Jun Wang
IEEE Transactions on Neural Networks|November 8, 2011
A one-layer recurrent neural network for pseudoconvex optimization subject to linear equality constraintsZhishan Guo, Qingshan Liu, Jun Wang
IEEE Journal of Biomedical and Health Informatics|April 8, 2023
Estimation of Lower Extremity Joint Moments and 3D Ground Reaction Forces Using IMU Sensors in Multiple Walking Conditions: A Deep Learning ApproachMd Sanzid Bin Hossain, Zhishan Guo, Hwan Choi
ACM Transactions on Knowledge Discovery From Data|October 31, 2017
CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for ClusteringWei Cheng, Zhishan Guo, Xiang Zhang, et al.
IEEE Journal of Biomedical and Health Informatics|April 6, 2022
DeepBBWAE-Net: A CNN-RNN Based Deep SuperLearner for Estimating Lower Extremity Sagittal Plane Joint Kinematics Using Shoe-Mounted IMU Sensors in Daily LivingMd Sanzid Bin Hossain, Joseph Dranetz, Hwan Choi, et al.
International Journal of Hospitality Management|September 9, 2020
Understanding the impact of COVID-19 intervention policies on the hospitality labor marketArthur Huang, Christos Makridis, Mark Baker, et al.
Bioinformatics (Oxford, England)|June 17, 2014
Graph-regularized dual Lasso for robust eQTL mappingWei Cheng, Xiang Zhang, Zhishan Guo, et al.
Data Mining and Knowledge Discovery|April 10, 2023
AA-forecast: anomaly-aware forecast for extreme eventsAshkan Farhangi, Jiang Bian, Arthur Huang, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 27, 2018
DBSDA : Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model DebiasingHaoyi Xiong, Wei Cheng, Jiang Bian, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Neural Networks and Learning Systems|September 4, 2015
A Neurodynamic Approach for Real-Time Scheduling via Maximizing Piecewise Linear UtilityZhishan Guo, Sanjoy K Baruah
Neural Networks : the Official Journal of the International Neural Network Society|October 25, 2011
A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimizationQingshan Liu, Zhishan Guo, Jun Wang
IEEE Transactions on Neural Networks|November 8, 2011
A one-layer recurrent neural network for pseudoconvex optimization subject to linear equality constraintsZhishan Guo, Qingshan Liu, Jun Wang
IEEE Journal of Biomedical and Health Informatics|April 8, 2023
Estimation of Lower Extremity Joint Moments and 3D Ground Reaction Forces Using IMU Sensors in Multiple Walking Conditions: A Deep Learning ApproachMd Sanzid Bin Hossain, Zhishan Guo, Hwan Choi
ACM Transactions on Knowledge Discovery From Data|October 31, 2017
CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for ClusteringWei Cheng, Zhishan Guo, Xiang Zhang, et al.
IEEE Journal of Biomedical and Health Informatics|April 6, 2022
DeepBBWAE-Net: A CNN-RNN Based Deep SuperLearner for Estimating Lower Extremity Sagittal Plane Joint Kinematics Using Shoe-Mounted IMU Sensors in Daily LivingMd Sanzid Bin Hossain, Joseph Dranetz, Hwan Choi, et al.
International Journal of Hospitality Management|September 9, 2020
Understanding the impact of COVID-19 intervention policies on the hospitality labor marketArthur Huang, Christos Makridis, Mark Baker, et al.
Bioinformatics (Oxford, England)|June 17, 2014
Graph-regularized dual Lasso for robust eQTL mappingWei Cheng, Xiang Zhang, Zhishan Guo, et al.
Data Mining and Knowledge Discovery|April 10, 2023
AA-forecast: anomaly-aware forecast for extreme eventsAshkan Farhangi, Jiang Bian, Arthur Huang, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 27, 2018
DBSDA : Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model DebiasingHaoyi Xiong, Wei Cheng, Jiang Bian, et al.
Pageof 2