Haibo He

According to our database1, Haibo He authored at least 227 papers between 2005 and 2018.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2018, "For contributions to adaptive learning".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Growth and Success - Looking Forward to 2018 and Beyond.
IEEE Trans. Neural Netw. Learning Syst., 2018

SDE: A Novel Clustering Framework Based on Sparsity-Density Entropy.
IEEE Trans. Knowl. Data Eng., 2018

BULDP: Biomimetic Uncorrelated Locality Discriminant Projection for Feature Extraction in Face Recognition.
IEEE Trans. Image Processing, 2018

Operating Parameters Optimization for the Aluminum Electrolysis Process Using an Improved Quantum-Behaved Particle Swarm Algorithm.
IEEE Trans. Industrial Informatics, 2018

Intelligent Optimal Control With Critic Learning for a Nonlinear Overhead Crane System.
IEEE Trans. Industrial Informatics, 2018

Adaptive Dynamic Programming for Robust Regulation and Its Application to Power Systems.
IEEE Trans. Industrial Electronics, 2018

Dynamic Behavior of Terminal Sliding Mode Control.
IEEE Trans. Industrial Electronics, 2018

Distributed Cooperative Control and Stability Analysis of Multiple DC Electric Springs in a DC Microgrid.
IEEE Trans. Industrial Electronics, 2018

Model-Free Adaptive Control for Unknown Nonlinear Zero-Sum Differential Game.
IEEE Trans. Cybernetics, 2018

Formation Learning Control of Multiple Autonomous Underwater Vehicles With Heterogeneous Nonlinear Uncertain Dynamics.
IEEE Trans. Cybernetics, 2018

Data-Driven Finite-Horizon Approximate Optimal Control for Discrete-Time Nonlinear Systems Using Iterative HDP Approach.
IEEE Trans. Cybernetics, 2018

A Generative Model for Sparse Hyperparameter Determination.
IEEE Trans. Big Data, 2018

Self-learning robust optimal control for continuous-time nonlinear systems with mismatched disturbances.
Neural Networks, 2018

Adaptive critic designs for optimal control of uncertain nonlinear systems with unmatched interconnections.
Neural Networks, 2018

Reinforcement learning for robust adaptive control of partially unknown nonlinear systems subject to unmatched uncertainties.
Inf. Sci., 2018

Distributive Dynamic Spectrum Access through Deep Reinforcement Learning: A Reservoir Computing Based Approach.
CoRR, 2018

Learning Without External Reward [Research Frontier].
IEEE Comp. Int. Mag., 2018

CIS Publication Spotlight [Publication Spotlight].
IEEE Comp. Int. Mag., 2018

CIS Publication Spotlight [Publication Spotlight].
IEEE Comp. Int. Mag., 2018

CIS Publication Spotlight [Publication Spotlight].
IEEE Comp. Int. Mag., 2018

CIS Publication Spotlight [Publication Spotlight].
IEEE Comp. Int. Mag., 2018

Residential Energy Management with Deep Reinforcement Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

EDOS: Entropy Difference-based Oversampling Approach for Imbalanced Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Q-Learning for Non-Cooperative Channel Access Game of Cognitive Radio Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Robust Distributed Adaptive Containment Control of Heterogeneous Linear Uncertain Multi-Agent Systems.
Proceedings of the 2018 Annual American Control Conference, 2018

Neural Network Based Distributed Consensus Control for Heterogeneous Multi-agent Systems.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Event-Driven Adaptive Robust Control of Nonlinear Systems With Uncertainties Through NDP Strategy.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2017

A Novel Energy Function-Based Stability Evaluation and Nonlinear Control Approach for Energy Internet.
IEEE Trans. Smart Grid, 2017

Semisupervised Feature Selection Based on Relevance and Redundancy Criteria.
IEEE Trans. Neural Netw. Learning Syst., 2017

Manifold-Based Reinforcement Learning via Locally Linear Reconstruction.
IEEE Trans. Neural Netw. Learning Syst., 2017

Air-Breathing Hypersonic Vehicle Tracking Control Based on Adaptive Dynamic Programming.
IEEE Trans. Neural Netw. Learning Syst., 2017

Editorial: A Successful Year and Looking Forward to 2017 and Beyond.
IEEE Trans. Neural Netw. Learning Syst., 2017

Event-Triggered Adaptive Dynamic Programming for Continuous-Time Systems With Control Constraints.
IEEE Trans. Neural Netw. Learning Syst., 2017

Adaptive Event-Triggered Control Based on Heuristic Dynamic Programming for Nonlinear Discrete-Time Systems.
IEEE Trans. Neural Netw. Learning Syst., 2017

Stacked Multilevel-Denoising Autoencoders: A New Representation Learning Approach for Wind Turbine Gearbox Fault Diagnosis.
IEEE Trans. Instrumentation and Measurement, 2017

A Finger Vein Image-Based Personal Identification System With Self-Adaptive Illuminance Control.
IEEE Trans. Instrumentation and Measurement, 2017

Incorporating Intelligence in Fog Computing for Big Data Analysis in Smart Cities.
IEEE Trans. Industrial Informatics, 2017

Q-Learning-Based Vulnerability Analysis of Smart Grid Against Sequential Topology Attacks.
IEEE Trans. Information Forensics and Security, 2017

Event-Triggered Optimal Control for Partially Unknown Constrained-Input Systems via Adaptive Dynamic Programming.
IEEE Trans. Industrial Electronics, 2017

A Novel Framework for Fault Diagnosis Using Kernel Partial Least Squares Based on an Optimal Preference Matrix.
IEEE Trans. Industrial Electronics, 2017

Event-Driven Nonlinear Discounted Optimal Regulation Involving a Power System Application.
IEEE Trans. Industrial Electronics, 2017

Intelligent Critic Control With Disturbance Attenuation for Affine Dynamics Including an Application to a Microgrid System.
IEEE Trans. Industrial Electronics, 2017

Improved Sliding Mode Design for Load Frequency Control of Power System Integrated an Adaptive Learning Strategy.
IEEE Trans. Industrial Electronics, 2017

Gr-GDHP: A New Architecture for Globalized Dual Heuristic Dynamic Programming.
IEEE Trans. Cybernetics, 2017

An Event-Triggered ADP Control Approach for Continuous-Time System With Unknown Internal States.
IEEE Trans. Cybernetics, 2017

Adaptive Critic Nonlinear Robust Control: A Survey.
IEEE Trans. Cybernetics, 2017

Improving the Critic Learning for Event-Based Nonlinear H Control Design.
IEEE Trans. Cybernetics, 2017

Data-Driven Tracking Control With Adaptive Dynamic Programming for a Class of Continuous-Time Nonlinear Systems.
IEEE Trans. Cybernetics, 2017

GIR-based ensemble sampling approaches for imbalanced learning.
Pattern Recognition, 2017

A local density-based approach for outlier detection.
Neurocomputing, 2017

CIS Publication Spotlight [Publication Spotlight].
IEEE Comp. Int. Mag., 2017

CIS Publication Spotlight [Publication Spotlight].
IEEE Comp. Int. Mag., 2017

CIS Publication Spotlight [Publication Spotlight].
IEEE Comp. Int. Mag., 2017

CIS Publication Spotlight [Publication Spotlight].
IEEE Comp. Int. Mag., 2017

Novel iterative neural dynamic programming for data-based approximate optimal control design.
Automatica, 2017

Data-driven robust regulation of nonlinear systems with mismatched disturbances.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Variational autoencoder based synthetic data generation for imbalanced learning.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Kernel-based generative learning in distortion feature space.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A learning based approach for social force model parameter estimation.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

ADL: Active dictionary learning for sparse representation.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Near-space aerospace vehicles attitude control based on adaptive dynamic programming and sliding mode control.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

State space reconstruction from noisy nonlinear time series: An autoencoder-based approach.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Pinning Synchronization in Heterogeneous Networks of Harmonic Oscillators.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Weakly supervised object localization with deep convolutional neural network based on spatial pyramid saliency map.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Probability Density Function Estimation Using the EEF With Application to Subset/Feature Selection.
IEEE Trans. Signal Processing, 2016

A Theoretical Foundation of Goal Representation Heuristic Dynamic Programming.
IEEE Trans. Neural Netw. Learning Syst., 2016

Adaptive Modulation for DFIG and STATCOM With High-Voltage Direct Current Transmission.
IEEE Trans. Neural Netw. Learning Syst., 2016

Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond.
IEEE Trans. Neural Netw. Learning Syst., 2016

Toward Optimal Feature Selection in Naive Bayes for Text Categorization.
IEEE Trans. Knowl. Data Eng., 2016

A Bayesian Classification Approach Using Class-Specific Features for Text Categorization.
IEEE Trans. Knowl. Data Eng., 2016

Optimized Relative Transformation Matrix Using Bacterial Foraging Algorithm for Process Fault Detection.
IEEE Trans. Industrial Electronics, 2016

Multi-Objective Bacterial Foraging Optimization Algorithm Based on Parallel Cell Entropy for Aluminum Electrolysis Production Process.
IEEE Trans. Industrial Electronics, 2016

Human Mobility Modeling for Robot-Assisted Evacuation in Complex Indoor Environments.
IEEE Trans. Human-Machine Systems, 2016

Fuzzy-Based Goal Representation Adaptive Dynamic Programming.
IEEE Trans. Fuzzy Systems, 2016

Near-Optimal Tracking Control of Mobile Robots Via Receding-Horizon Dual Heuristic Programming.
IEEE Trans. Cybernetics, 2016

EEF: Exponentially Embedded Families With Class-Specific Features for Classification.
IEEE Signal Process. Lett., 2016

An Imbalanced Learning based MDR-TB Early Warning System.
J. Medical Systems, 2016

Hybrid synchronization behavior in an array of coupled chaotic systems with ring connection.
Neurocomputing, 2016

Cyber-physical attacks and defences in the smart grid: a survey.
IET Cyper-Phys. Syst.: Theory & Appl., 2016

Detection of False Data Injection Attacks in Smart Grid under Colored Gaussian Noise.
CoRR, 2016

EEF: Exponentially Embedded Families with Class-Specific Features for Classification.
CoRR, 2016

Toward Optimal Feature Selection in Naive Bayes for Text Categorization.
CoRR, 2016

Probabilistic Human Mobility Model in Indoor Environment.
CoRR, 2016

Adaptive Signal Detection and Parameter Estimation in Unknown Colored Gaussian Noise.
CoRR, 2016

FSMJ: Feature Selection with Maximum Jensen-Shannon Divergence for Text Categorization.
CoRR, 2016

A Local Density-Based Approach for Local Outlier Detection.
CoRR, 2016

Kernel-based Generative Learning in Distortion Feature Space.
CoRR, 2016

CIS Publication Spotlight [Publication Spotlight].
IEEE Comp. Int. Mag., 2016

CIS Publication Spotlight [Publication Spotlight].
IEEE Comp. Int. Mag., 2016

CIS Publication Spotlight Publication Spotlight.
IEEE Comp. Int. Mag., 2016

CIS Publication Spotlight [Publication Spotlight].
IEEE Comp. Int. Mag., 2016

Conference Report on 2015 International Joint Conference on Neural Networks (IJCNN 2015) [Conference Reports].
IEEE Comp. Int. Mag., 2016

Robot-assisted pedestrian regulation in an exit corridor.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Convergence analysis of GrDHP-based optimal control for discrete-time nonlinear system.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Detection of false data attacks in smart grid with supervised learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Probabilistic human mobility model in indoor environment.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Comparative studies of power grid security with network connectivity and power flow information using unsupervised learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Dual heuristic dynamic programming based event-triggered control for nonlinear continuous-time systems.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Detection of false data injection attacks in smart grid under colored Gaussian noise.
Proceedings of the 2016 IEEE Conference on Communications and Network Security, 2016

Adaptive-critic-based event-driven nonlinear robust state feedback.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Policy iteration for optimal control of weakly coupled nonlinear systems with completely unknown dynamics.
Proceedings of the 2016 American Control Conference, 2016

2015
Power System Stability Control for a Wind Farm Based on Adaptive Dynamic Programming.
IEEE Trans. Smart Grid, 2015

A Parametric Classification Rule Based on the Exponentially Embedded Family.
IEEE Trans. Neural Netw. Learning Syst., 2015

GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming.
IEEE Trans. Neural Netw. Learning Syst., 2015

Model-Free Dual Heuristic Dynamic Programming.
IEEE Trans. Neural Netw. Learning Syst., 2015

Joint Substation-Transmission Line Vulnerability Assessment Against the Smart Grid.
IEEE Trans. Information Forensics and Security, 2015

A neural network based online learning and control approach for Markov jump systems.
Neurocomputing, 2015

Exponential synchronization for a class of complex spatio-temporal networks with space-varying coefficients.
Neurocomputing, 2015

Intelligent load frequency controller using GrADP for island smart grid with electric vehicles and renewable resources.
Neurocomputing, 2015

Computational Energy Management in Smart Grids.
Neurocomputing, 2015

Data-driven heuristic dynamic programming with virtual reality.
Neurocomputing, 2015

Convergence Proof of Approximate Policy Iteration for Undiscounted Optimal Control of Discrete-Time Systems.
Cognitive Computation, 2015

An Improved SVM-Based Cognitive Diagnosis Algorithm for Operation States of Distribution Grid.
Cognitive Computation, 2015

ENN: Extended Nearest Neighbor Method for Pattern Recognition [Research Frontier].
IEEE Comp. Int. Mag., 2015

Conference Report for 2014 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014) [Conference Reports].
IEEE Comp. Int. Mag., 2015

Diversity of cascading failure processes in electrical grids.
Proceedings of the 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2015

Event-triggered adaptive dynamic programming for continuous-time nonlinear system using measured input-output data.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A boundedness theoretical analysis for GrADP design: A case study on maze navigation.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A comparative study between motivated learning and reinforcement learning.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Predictive event-triggered control based on heuristic dynamic programming for nonlinear continuous-time systems.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Reflex-Tree: A Biologically Inspired Parallel Architecture for Future Smart Cities.
Proceedings of the 44th International Conference on Parallel Processing, 2015

Smart Grid Vulnerability under Cascade-Based Sequential Line-Switching Attacks.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

KernelADASYN: Kernel based adaptive synthetic data generation for imbalanced learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Revealing Cascading Failure Vulnerability in Power Grids Using Risk-Graph.
IEEE Trans. Parallel Distrib. Syst., 2014

Optimal Control for Unknown Discrete-Time Nonlinear Markov Jump Systems Using Adaptive Dynamic Programming.
IEEE Trans. Neural Netw. Learning Syst., 2014

Resilience Analysis of Power Grids Under the Sequential Attack.
IEEE Trans. Information Forensics and Security, 2014

Integrated Security Analysis on Cascading Failure in Complex Networks.
IEEE Trans. Information Forensics and Security, 2014

Kernel-Based Approximate Dynamic Programming for Real-Time Online Learning Control: An Experimental Study.
IEEE Trans. Contr. Sys. Techn., 2014

Learning Race from Face: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Active Power Oscillation Property Classification of Electric Power Systems Based on SVM.
J. Applied Mathematics, 2014

Reactive power control of grid-connected wind farm based on adaptive dynamic programming.
Neurocomputing, 2014

Imbalanced evolving self-organizing learning.
Neurocomputing, 2014

Active Dictionary Learning in Sparse Representation Based Classification.
CoRR, 2014

Sparse-Representation-Based Classification with Structure-Preserving Dimension Reduction.
Cognitive Computation, 2014

Intelligence for Embedded Systems: A Methodological Approach [Book Review].
IEEE Comp. Int. Mag., 2014

A fast deep learning system using GPU.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Frequency control using on-line learning method for island smart grid with EVs and PVs.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Hybrid classification with partial models.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Online learning control based on projected gradient temporal difference and advanced heuristic dynamic programming.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

The sequential attack against power grid networks.
Proceedings of the IEEE International Conference on Communications, 2014

Coordinated attacks against substations and transmission lines in power grids.
Proceedings of the IEEE Global Communications Conference, 2014

Learning and modeling big data.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

A GPU-based real-time traffic sign detection and recognition system.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, 2014

Advancing motivated learning with goal creation.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Human-like Intelligence, 2014

Experimental studies on indoor sign recognition and classification.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Impact of signal transmission delays on power system damping control using heuristic dynamic programming.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2014

Multi-machine power system control based on dual heuristic dynamic programming.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2014

Data-driven partially observable dynamic processes using adaptive dynamic programming.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2013
Guest Editorial Special Section on Computational Intelligence Applications in Smart Grid.
IEEE Trans. Smart Grid, 2013

Optimized Control of DFIG-Based Wind Generation Using Sensitivity Analysis and Particle Swarm Optimization.
IEEE Trans. Smart Grid, 2013

A New Discrete-Continuous Algorithm for Radial Basis Function Networks Construction.
IEEE Trans. Neural Netw. Learning Syst., 2013

Online Learning Control Using Adaptive Critic Designs With Sparse Kernel Machines.
IEEE Trans. Neural Netw. Learning Syst., 2013

Goal Representation Heuristic Dynamic Programming on Maze Navigation.
IEEE Trans. Neural Netw. Learning Syst., 2013

Adaptive Learning in Tracking Control Based on the Dual Critic Network Design.
IEEE Trans. Neural Netw. Learning Syst., 2013

Multi-Contingency Cascading Analysis of Smart Grid Based on Self-Organizing Map.
IEEE Trans. Information Forensics and Security, 2013

Heuristic dynamic programming with internal goal representation.
Soft Comput., 2013

Ensemble learning for wind profile prediction with missing values.
Neural Computing and Applications, 2013

Spatial outlier detection based on iterative self-organizing learning model.
Neurocomputing, 2013

Special Issue Editorial: Computational Intelligence and Applications.
Cognitive Computation, 2013

L 1 Graph Based on Sparse Coding for Feature Selection.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Revealing temporal features of attacks against smart grid.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2013

Adaptive control for an HVDC transmission link with FACTS and a wind farm.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2013

Robust controller design of continuous-time nonlinear system using neural network.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Improving the performance of a neural-machine interface for prosthetic legs using adaptive pattern classifiers.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Comparative study between HDP and PSS on DFIG damping control.
Proceedings of the IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2013

Real-time tracking on adaptive critic design with uniformly ultimately bounded condition.
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013

2012
SSC: A Classifier Combination Method Based on Signal Strength.
IEEE Trans. Neural Netw. Learning Syst., 2012

SOMKE: Kernel Density Estimation Over Data Streams by Sequences of Self-Organizing Maps.
IEEE Trans. Neural Netw. Learning Syst., 2012

A Folded Neural Network Autoencoder for Dimensionality Reduction.
Proceedings of the 3rd International Neural Network Society Winter Conference, 2012

Intelligent computing and applications (LSMS and ICSEE 2010).
Neural Computing and Applications, 2012

DCPE co-training for classification.
Neurocomputing, 2012

A three-network architecture for on-line learning and optimization based on adaptive dynamic programming.
Neurocomputing, 2012

A Fully Decentralized Multi-Agent System for Intelligent Restoration of Power Distribution Network Incorporating Distributed Generations [Application Notes].
IEEE Comp. Int. Mag., 2012

A New Web Home for the IEEE CIS [Society Briefs].
IEEE Comp. Int. Mag., 2012

A Hierarchical Neural Network Architecture for Classification.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

A Hybrid Evolving and Gradient Strategy for Approximating Policy Evaluation on Online Critic-Actor Learning.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Neural and fuzzy dynamic programming for under-actuated systems.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Feature selection based on sparse imputation.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Reinforcement learning control based on multi-goal representation using hierarchical heuristic dynamic programming.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Load distribution vector based attack strategies against power grid systems.
Proceedings of the 2012 IEEE Global Communications Conference, 2012

2011
Incremental Learning From Stream Data.
IEEE Trans. Neural Networks, 2011

Advances in Knowledge Discovery and Data Analysis for Artificial Intelligence.
J. Exp. Theor. Artif. Intell., 2011

LIFT: A new framework of learning from testing data for face recognition.
Neurocomputing, 2011

Towards incremental learning of nonstationary imbalanced data stream: a multiple selectively recursive approach.
Evolving Systems, 2011

An Adaptive Dynamic Programming Approach for Closely-Coupled MIMO System Control.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

An online actor-critic learning approach with Levenberg-Marquardt algorithm.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Hybrid learning based on Multiple Self-Organizing Maps and Genetic Algorithm.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Risk-Aware Attacks and Catastrophic Cascading Failures in U.S. Power Grid.
Proceedings of the Global Communications Conference, 2011

Kernel density estimation with stream data based on self-organizing map.
Proceedings of the 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems, 2011

Adaptive dynamic programming with balanced weights seeking strategy.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

2010
RAMOBoost: ranked minority oversampling in boosting.
IEEE Trans. Neural Networks, 2010

Compact Extreme Learning Machines for biological systems.
I. J. Computational Biology and Drug Design, 2010

Special Issue Editorial: Advances in Computational Intelligence and Applications.
Cognitive Computation, 2010

Redundancy Estimation and Adaptive Density Control in Wireless Sensor Networks.
Ad Hoc & Sensor Wireless Networks, 2010

IterativeSOMSO: An Iterative Self-organizing Map for Spatial Outlier Detection.
Proceedings of the Advances in Neural Networks, 2010

DCPE co-training: Co-training based on diversity of class probability estimation.
Proceedings of the International Joint Conference on Neural Networks, 2010

Reinforcement learning based adaptive rate control for delay-constrained communications over fading channels.
Proceedings of the International Joint Conference on Neural Networks, 2010

Toward a Smart Grid: Integration of computational intelligence into Power Grid.
Proceedings of the International Joint Conference on Neural Networks, 2010

MuSeRA: Multiple Selectively Recursive Approach towards imbalanced stream data mining.
Proceedings of the International Joint Conference on Neural Networks, 2010

An integrated incremental self-organizing map and hierarchical neural network approach for cognitive radio learning.
Proceedings of the International Joint Conference on Neural Networks, 2010

Two-time-scale online actor-critic paradigm driven by POMDP.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2010

A hierarchical learning architecture with multiple-goal representations based on adaptive dynamic programming.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2010

2009
Spatio-Temporal Memories for Machine Learning: A Long-Term Memory Organization.
IEEE Trans. Neural Networks, 2009

Learning from Imbalanced Data.
IEEE Trans. Knowl. Data Eng., 2009

A General-Purpose FPGA-Based Reconfigurable Platform for Video and Image Processing.
Proceedings of the Advances in Neural Networks, 2009

SERA: Selectively recursive approach towards nonstationary imbalanced stream data mining.
Proceedings of the International Joint Conference on Neural Networks, 2009

DensityRank: A novel feature ranking method based on kernel estimation.
Proceedings of the International Joint Conference on Neural Networks, 2009

A novel portfolio optimization method for foreign currency investment.
Proceedings of the International Joint Conference on Neural Networks, 2009

SOMSO: A self-organizing map approach for spatial outlier detection with multiple attributes.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
IMORL: Incremental Multiple-Object Recognition and Localization.
IEEE Trans. Neural Networks, 2008

Editorial to Special Issue: Neural networks for pattern recognition and data mining.
Soft Comput., 2008

Special issue on life system modeling and bio-inspired computing for LSMS 2007.
Applied Mathematics and Computation, 2008

A Boost Voting Strategy for Knowledge Integration and Decision Making.
Proceedings of the Advances in Neural Networks, 2008

ADASYN: Adaptive synthetic sampling approach for imbalanced learning.
Proceedings of the International Joint Conference on Neural Networks, 2008

Learning from testing data: A new view of incremental semi-supervised learning.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
Anticipation-Based Temporal Sequences Learning in Hierarchical Structure.
IEEE Trans. Neural Networks, 2007

A Novel Low-Power Logic Circuit Design Scheme.
IEEE Trans. on Circuits and Systems, 2007

Self-organizing learning array and its application to economic and financial problems.
Inf. Sci., 2007

A Multiscale Probability Model for Intrusion Detection Systems.
Proceedings of the 2007 International Conference on Machine Learning; Models, 2007

A Hierarchical Self-organizing Associative Memory for Machine Learning.
Proceedings of the Advances in Neural Networks, 2007

Online Dynamic Value System for Machine Learning.
Proceedings of the Advances in Neural Networks, 2007

Adaptive Iterative Learning for Classification based on Feature Selection and Combination Voting.
Proceedings of the International Joint Conference on Neural Networks, 2007

Bootstrap Methods for Foreign Currency Exchange Rates Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2007

A Ranked Subspace Learning Method for Gene Expression Data Classification.
Proceedings of the 2007 International Conference on Artificial Intelligence, 2007

A Note on Orthogonality of The Finite Element Multiwavelets.
Proceedings of the 2007 International Conference on Scientific Computing, 2007

2005
Optimized Interconnections in Probabilistic Self-Organizing Learning.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005


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