Fei Han

According to our database1, Fei Han
  • authored at least 91 papers between 2005 and 2018.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2018
Improved Tobit Kalman filtering for systems with random parameters via conditional expectation.
Signal Processing, 2018

2017
A Gene Selection Method for Microarray Data Based on Binary PSO Encoding Gene-to-Class Sensitivity Information.
IEEE/ACM Trans. Comput. Biology Bioinform., 2017

Local Condition Based Consensus Filtering With Stochastic Nonlinearities and Multiple Missing Measurements.
IEEE Trans. Automat. Contr., 2017

SRAL: Shared Representative Appearance Learning for Long-Term Visual Place Recognition.
IEEE Robotics and Automation Letters, 2017

Fault detection for discrete piecewise linear systems with infinite distributed time-delays.
Int. J. Systems Science, 2017

An improved incremental constructive single-hidden-layer feedforward networks for extreme learning machine based on particle swarm optimization.
Neurocomputing, 2017

Local condition-based finite-horizon distributed H-consensus filtering for random parameter system with event-triggering protocols.
Neurocomputing, 2017

Space-time representation of people based on 3D skeletal data: A review.
Computer Vision and Image Understanding, 2017

Multisensory Omni-directional Long-term Place Recognition: Benchmark Dataset and Analysis.
CoRR, 2017

Sequence-based Multimodal Apprenticeship Learning For Robot Perception and Decision Making.
CoRR, 2017

Simultaneous Feature and Body-Part Learning for Real-Time Robot Awareness of Human Behaviors.
CoRR, 2017

Optimizing autonomous surveillance route solutions from minimal human-robot interaction.
Proceedings of the IEEE International Symposium on Safety, Security and Rescue Robotics, 2017

I Am the UAV: A Wearable Approach for Manipulation of Unmanned Aerial Vehicle.
Proceedings of the 2017 IEEE International Conference on Smart Computing, 2017

Planning-Based Workflow Modeling for AR-enabled Automated Task Guidance.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2017

A Hybrid Particle Swarm Optimization Algorithm Based on Migration Mechanism.
Proceedings of the Intelligence Science and Big Data Engineering, 2017

A Hybrid Multi-swarm PSO Algorithm Based on Shuffled Frog Leaping Algorithm.
Proceedings of the Intelligence Science and Big Data Engineering, 2017

Sequence-based multimodal apprenticeship learning for robot perception and decision making.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Simultaneous Feature and Body-Part Learning for real-time robot awareness of human behaviors.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Minimum uncertainty latent variable models for robot recognition of sequential human activities.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

An Improved Evolutionary Random Neural Networks Based on Particle Swarm Optimization and Input-to-Output Sensitivity.
Proceedings of the Intelligent Computing Theories and Application, 2017

A Hybrid Algorithm of Adaptive Particle Swarm Optimization Based on Adaptive Moment Estimation Method.
Proceedings of the Intelligent Computing Theories and Application, 2017

An Improved Multi-swarm Particle Swarm Optimization Based on Knowledge Billboard and Periodic Search Mechanism.
Proceedings of the Intelligent Computing Theories and Application, 2017

2016
Weighted Average Consensus-Based Unscented Kalman Filtering.
IEEE Trans. Cybernetics, 2016

Secure searches in the cloud: A survey.
Future Generation Comp. Syst., 2016

Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking.
CoRR, 2016

Self-Reflective Risk-Aware Artificial Cognitive Modeling for Robot Response to Human Behaviors.
CoRR, 2016

Space-Time Representation of People Based on 3D Skeletal Data: A Review.
CoRR, 2016

An Improved Ensemble Extreme Learning Machine Based on ARPSO and Tournament-Selection.
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016

Robust Multimodal Sequence-Based Loop Closure Detection via Structured Sparsity.
Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 2016

A coarse-to-fine feature selection method for accurate detection of cerebral small vessel disease.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

SRAC: Self-Reflective Risk-Aware Artificial Cognitive models for robot response to human activities.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

A Hybrid Particle Swarm Optimization Embedded Trust Region Method.
Proceedings of the Intelligent Computing Theories and Application, 2016

2015
An effective hybrid approach of gene selection and classification for microarray data based on clustering and particle swarm optimisation.
IJDMB, 2015

A new high accuracy method for two-dimensional biharmonic equation with nonlinear third derivative terms: application to Navier-Stokes equations of motion.
Int. J. Comput. Math., 2015

GPU acceleration of amplitude-preserved Q compensation prestack time migration.
Computers & Geosciences, 2015

On modeling the advertising-operations interface under asymmetric competition.
European Journal of Operational Research, 2015

Compact operator method of accuracy two in time and four in space for the numerical solution of coupled viscous Burgers' equations.
Applied Mathematics and Computation, 2015

An Improved Hybrid PSO Based on ARPSO and the Quasi-Newton Method.
Proceedings of the Advances in Swarm and Computational Intelligence, 2015

RTOB: A TDMA-based MAC protocol to achieve high reliability of one-hop broadcast in VANET.
Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, 2015

A novel diversity-guided ensemble of neural network based on attractive and repulsive particle swarm optimization.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

An Improved Incremental Error Minimized Extreme Learning Machine for Regression Problem Based on Particle Swarm Optimization.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

Petroleum Geoscience Big Data and GPU Parallel Computing.
Proceedings of the 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015, 2015

2014
A diversity-guided hybrid particle swarm optimization based on gradient search.
Neurocomputing, 2014

Reliable H filtering for discrete piecewise linear systems with infinite distributed delays.
Int. J. General Systems, 2014

A Function Private Attribute-Based Encryption.
IJDSN, 2014

A novel dropout compensation scheme for control of networked T-S fuzzy dynamic systems.
Fuzzy Sets and Systems, 2014

A general transformation from KP-ABE to searchable encryption.
Future Generation Comp. Syst., 2014

Vision-based forward collision warning system design supported by a field-test verification platform.
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

An improved extreme learning machine with adaptive growth of hidden nodes based on particle swarm optimization.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A Hybrid Approach for Cancer Classification Based on Particle Swarm Optimization and Prior Information.
Proceedings of the Advances in Swarm Intelligence - 5th International Conference, 2014

An Improved Ensemble of Extreme Learning Machine Based on Attractive and Repulsive Particle Swarm Optimization.
Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014

2013
Study on Current Protection in Distribution Network with Distributed Generation.
JDIM, 2013

An improved evolutionary extreme learning machine based on particle swarm optimization.
Neurocomputing, 2013

Regularized least squares fisher linear discriminant with applications to image recognition.
Neurocomputing, 2013

Improved Particle Swarm Optimization Combined with Backpropagation for Feedforward Neural Networks.
Int. J. Intell. Syst., 2013

Improved twin support vector machine using total margin and graph embedding.
Proceedings of the Ninth International Conference on Natural Computation, 2013

A Hybrid Gene Selection and Classification Approach for Microarray Data Based on Clustering and PSO.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013

A Hybrid Attractive and Repulsive Particle Swarm Optimization Based on Gradient Search.
Proceedings of the Intelligent Computing Theories and Technology, 2013

A New Gene Selection Method for Microarray Data Based on PSO and Informativeness Metric.
Proceedings of the Intelligent Computing Theories and Technology, 2013

H∞ filter design of networked nonlinear systems with communication constraints via T-S fuzzy dynamic models.
Proceedings of the American Control Conference, 2013

2012
E-Commerce Platform Design for Producer and Consumer Connection.
Proceedings of the 11th Wuhan International Conference on E-Business, 2012

A Diversity-Guided Hybrid Particle Swarm Optimization.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012

A General Transformation from KP-ABE to Searchable Encryption.
Proceedings of the Cyberspace Safety and Security - 4th International Symposium, 2012

Prediction of renal transplant rejection and acute tubular necrosis in renal transplant based on SVM.
Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012

2011
An improved ARPSO for feedforward neural networks.
Proceedings of the Seventh International Conference on Natural Computation, 2011

An Improved Extreme Learning Machine Based on Particle Swarm Optimization.
Proceedings of the Bio-Inspired Computing and Applications, 2011

2010
A game equilibrated rapid dynamic restoration strategy in ASON.
Photonic Network Communications, 2010

An improved approximation approach incorporating particle swarm optimization and a priori information into neural networks.
Neural Computing and Applications, 2010

Gene Selection and PSO-BP Classifier Encoding a Prior Information.
Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010

2009
SVM-based decision support system for clinic aided tracheal intubation predication with multiple features.
Expert Syst. Appl., 2009

A PSO Algorithm with the Improved Diversity for Feedforward Neural Networks.
Proceedings of the Second International Symposium on Intelligent Information Technology and Security Informatics, 2009

A Constrained Approximation Algorithm by Encoding Second-Order Derivative Information into Feedforward Neural Networks.
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009

An Improved PSO Algorithm Encoding a priori Information for Nonlinear Approximation.
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009

An Improved Approach Combining Random PSO with BP for Feedforward Neural Networks.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2009

2008
A new constrained learning algorithm for function approximation by encoding a priori information into feedforward neural networks.
Neural Computing and Applications, 2008

Modified constrained learning algorithms incorporating additional functional constraints into neural networks.
Inf. Sci., 2008

Multiple positive periodic solutions for a class of nonlinear functional differential equations.
Applied Mathematics and Computation, 2008

A new approach for function approximation incorporating adaptive particle swarm optimization and a priori information.
Applied Mathematics and Computation, 2008

A Network Based Functional Verification Method of IEEE 1394a PHY Core.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2008

An Improved KNN Algorithm of Intelligent Built-in Test.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

Improved Learning Algorithms of SLFN for Approximating Periodic Function.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

A New Approach Encoding a Priori Information for Function Approximation.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2007
A New Learning Algorithm for Function Approximation by Encoding Additional Constraints into Feedforward Neural Network.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2007

2006
A modified learning algorithm incorporating additional functional constraints into neural networks.
IJPRAI, 2006

Improved extreme learning machine for function approximation by encoding a priori information.
Neurocomputing, 2006

The Forecast of the Postoperative Survival Time of Patients Suffered from Non-small Cell Lung Cancer Based on Pca and Extreme Learning Machine.
Int. J. Neural Syst., 2006

Improved constrained learning algorithms by incorporating additional functional constraints into neural networks.
Applied Mathematics and Computation, 2006

A New Learning Algorithm for Function Approximation Incorporating A Priori Information into Extreme Learning Machine.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005
A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Improvements to the Conventional Layer-by-Layer BP Algorithm.
Proceedings of the Advances in Intelligent Computing, 2005


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