2025
A compressed video quality enhancement algorithm based on CNN and transformer hybrid network.
J. Supercomput., January, 2025
2024
Multiagent Trust Region Policy Optimization.
IEEE Trans. Neural Networks Learn. Syst., September, 2024
vEpiNet: A multimodal interictal epileptiform discharge detection method based on video and electroencephalogram data.
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Neural Networks, 2024
PupaNet: A versatile and efficient silkworm pupae (Bombyx mori) identification tool for sericulture breeding based on near-infrared spectroscopy and deep transfer learning.
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Comput. Electron. Agric., 2024
2023
Incomplete Multi-View Clustering With Joint Partition and Graph Learning.
IEEE Trans. Knowl. Data Eng., 2023
Robust Distributed Finite-time Secondary Frequency Control of Islanded AC Microgrids With Event-Triggered Mechanism.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023
An Improved Trust-Region Method for Off-Policy Deep Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023
Bipartite Graph based Multi-view Clustering (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
2022
Learning to Operate Distribution Networks With Safe Deep Reinforcement Learning.
IEEE Trans. Smart Grid, 2022
Bipartite Graph Based Multi-View Clustering.
IEEE Trans. Knowl. Data Eng., 2022
Discriminant Geometrical and Statistical Alignment With Density Peaks for Domain Adaptation.
IEEE Trans. Cybern., 2022
Symmetric All Convolutional Neural-Network-Based Unsupervised Feature Extraction for Hyperspectral Images Classification.
IEEE Trans. Cybern., 2022
Finite-Time Command-Filtered Composite Adaptive Neural Control of Uncertain Nonlinear Systems.
IEEE Trans. Cybern., 2022
Learning From Negative Links.
IEEE Trans. Cybern., 2022
Edge-Based Adaptive Distributed Method for Synchronization of Intermittently Coupled Spatiotemporal Networks.
IEEE Trans. Autom. Control., 2022
Resilient Predictor-Based Load Frequency Control for Multi-Region Power Systems Under DoS Attacks.
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022
An Analytical Update Rule for General Policy Optimization.
Proceedings of the International Conference on Machine Learning, 2022
2021
Deep Transfer Cooperative Sensing in Cognitive Radio.
IEEE Wirel. Commun. Lett., 2021
Fully Distributed Finite-Time Consensus of Directed Multiquadcopter Systems via Pinning Control.
IEEE Trans. Syst. Man Cybern. Syst., 2021
A Sparse Dimensionality Reduction Approach Based on False Nearest Neighbors for Nonlinear Fault Detection.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Toward Optimal Risk-Averse Configuration for HESS With CGANs-Based PV Scenario Generation.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Event-Triggered Privacy-Preserving Average Consensus for Multiagent Networks With Time Delay: An Output Mask Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Quasi-Synchronization in Heterogeneous Harmonic Oscillators With Continuous and Sampled Coupling.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Necessary and Sufficient Conditions for Consensus in Fractional-Order Multiagent Systems via Sampled Data Over Directed Graph.
IEEE Trans. Syst. Man Cybern. Syst., 2021
A Cascaded Distributed Control Framework in DC Microgrids.
IEEE Trans. Smart Grid, 2021
Online Scheduling of a Residential Microgrid via Monte-Carlo Tree Search and a Learned Model.
IEEE Trans. Smart Grid, 2021
Frequency Restoration and Oscillation Damping of Distributed VSGs in Microgrid With Low Bandwidth Communication.
IEEE Trans. Smart Grid, 2021
Farewell Editorial A Heartfelt Thank You and Looking Into the New Era of TNNLS.
IEEE Trans. Neural Networks Learn. Syst., 2021
Editorial: Staying Healthy and Strong Together.
IEEE Trans. Neural Networks Learn. Syst., 2021
A Virtual-Real Interaction Approach to Object Instance Segmentation in Traffic Scenes.
IEEE Trans. Intell. Transp. Syst., 2021
An End-to-End Framework With Multisource Monitoring Data for Bridge Health Anomaly Identification.
IEEE Trans. Instrum. Meas., 2021
Coordinated Topology Attacks in Smart Grid Using Deep Reinforcement Learning.
IEEE Trans. Ind. Informatics, 2021
Local Domain Adaptation for Cross-Domain Activity Recognition.
IEEE Trans. Hum. Mach. Syst., 2021
Intermittent Stabilization of Fuzzy Competitive Neural Networks With Reaction Diffusions.
IEEE Trans. Fuzzy Syst., 2021
Small Fault Detection of Discrete-Time Nonlinear Uncertain Systems.
IEEE Trans. Cybern., 2021
Approximate Dynamic Programming for Nonlinear-Constrained Optimizations.
IEEE Trans. Cybern., 2021
Event-Driven H<sub>∞</sub>-Constrained Control Using Adaptive Critic Learning.
IEEE Trans. Cybern., 2021
Decentralized Event-Triggered Control for a Class of Nonlinear-Interconnected Systems Using Reinforcement Learning.
IEEE Trans. Cybern., 2021
Continuous-Time Distributed Policy Iteration for Multicontroller Nonlinear Systems.
IEEE Trans. Cybern., 2021
Model-Independent Formation Tracking of Multiple Euler-Lagrange Systems via Bounded Inputs.
IEEE Trans. Cybern., 2021
Adaptive Observer-Based Output Regulation of Multiagent Systems With Communication Constraints.
IEEE Trans. Cybern., 2021
Multiagent Adversarial Collaborative Learning via Mean-Field Theory.
IEEE Trans. Cybern., 2021
Team-Triggered Practical Fixed-Time Consensus of Double-Integrator Agents With Uncertain Disturbance.
IEEE Trans. Cybern., 2021
Dual Alignment for Partial Domain Adaptation.
IEEE Trans. Cybern., 2021
Fixed/Preassigned-Time Synchronization of Complex Networks via Improving Fixed-Time Stability.
IEEE Trans. Cybern., 2021
Optimal Feedback Control of Pedestrian Flow in Heterogeneous Corridors.
IEEE Trans Autom. Sci. Eng., 2021
Cooperative Adaptive Containment Control With Parameter Convergence via Cooperative Finite-Time Excitation.
IEEE Trans. Autom. Control., 2021
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2021
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2021
Online Microgrid Energy Management Based on Safe Deep Reinforcement Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Multi-view Semi-Supervised Learning for Cooperative Spectrum Sensing.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Distributed Finite-Time Secondary Control for AC Microgrids With Mobile Power Resource and Communication Time-delays.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2021
A Reinforcement Learning-Based Control Approach for Unknown Nonlinear Systems with Persistent Adversarial Inputs.
Proceedings of the International Joint Conference on Neural Networks, 2021
Distributed Volt-VAR Optimization based on Multi-Agent Deep Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021
Graph-based Multi-view Learning for Cooperative Spectrum Sensing.
Proceedings of the International Joint Conference on Neural Networks, 2021
Graph Neural Network Based Interference Estimation for Device-to-Device Wireless Communications.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Synthesis of Cooperative Adaptive Cruise Control With Feedforward Strategies.
IEEE Trans. Veh. Technol., 2020
Invariant Adaptive Dynamic Programming for Discrete-Time Optimal Control.
IEEE Trans. Syst. Man Cybern. Syst., 2020
GrHDP Solution for Optimal Consensus Control of Multiagent Discrete-Time Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Automated Demand Response Framework in ELNs: Decentralized Scheduling and Smart Contract.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Adaptive Critic Learning and Experience Replay for Decentralized Event-Triggered Control of Nonlinear Interconnected Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Event-Triggered Robust Stabilization of Nonlinear Input-Constrained Systems Using Single Network Adaptive Critic Designs.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Adaptive Dynamic Programming for Decentralized Stabilization of Uncertain Nonlinear Large-Scale Systems With Mismatched Interconnections.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Deterministic Policy Gradient With Integral Compensator for Robust Quadrotor Control.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Asynchronous Quasi-Consensus of Heterogeneous Multiagent Systems With Nonuniform Input Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2020
A Novel Secondary Optimal Control for Multiple Battery Energy Storages in a DC Microgrid.
IEEE Trans. Smart Grid, 2020
A Novel Scheduling Strategy for Controllable Loads With Power-Efficiency Characteristics.
IEEE Trans. Smart Grid, 2020
Ultrafast Active Response Strategy against Malfunction Attack on Fault Current Limiter.
IEEE Trans. Smart Grid, 2020
Cyber-Attack Recovery Strategy for Smart Grid Based on Deep Reinforcement Learning.
IEEE Trans. Smart Grid, 2020
Distributed Optimal Control of Energy Storages in a DC Microgrid With Communication Delay.
IEEE Trans. Smart Grid, 2020
Energy-Storage-Based Intelligent Frequency Control of Microgrid With Stochastic Model Uncertainties.
IEEE Trans. Smart Grid, 2020
Real-Time Residential Demand Response.
IEEE Trans. Smart Grid, 2020
Constrained EV Charging Scheduling Based on Safe Deep Reinforcement Learning.
IEEE Trans. Smart Grid, 2020
Editorial: Another Successful Year and Looking Forward to 2020.
IEEE Trans. Neural Networks Learn. Syst., 2020
Entropy-based Sampling Approaches for Multi-Class Imbalanced Problems.
IEEE Trans. Knowl. Data Eng., 2020
LMI-Based Synthesis of String-Stable Controller for Cooperative Adaptive Cruise Control.
IEEE Trans. Intell. Transp. Syst., 2020
Distributed Tracking in Heterogeneous Networks With Asynchronous Sampled-Data Control.
IEEE Trans. Ind. Informatics, 2020
Distributed Cooperative Control of Multiple Hybrid Energy Storage Systems in a DC Microgrid Using Consensus Protocol.
IEEE Trans. Ind. Electron., 2020
Local Linear Spatial-Spectral Probabilistic Distribution for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2020
Global Synchronization of Fuzzy Memristive Neural Networks With Discrete and Distributed Delays.
IEEE Trans. Fuzzy Syst., 2020
A Distributed Iterative Learning Framework for DC Microgrids: Current Sharing and Voltage Regulation.
IEEE Trans. Emerg. Top. Comput. Intell., 2020
Pedestrian Flow Optimization to Reduce the Risk of Crowd Disasters Through Human-Robot Interaction.
IEEE Trans. Emerg. Top. Comput. Intell., 2020
A Multifactorial Evolutionary Algorithm for Multitasking Under Interval Uncertainties.
IEEE Trans. Evol. Comput., 2020
Global Stabilization of Fuzzy Memristor-Based Reaction-Diffusion Neural Networks.
IEEE Trans. Cybern., 2020
Robot-Assisted Pedestrian Regulation Based on Deep Reinforcement Learning.
IEEE Trans. Cybern., 2020
Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-Spectral Manifold Learning.
IEEE Trans. Cybern., 2020
Big Data for Cyber-Physical Systems.
IEEE Trans. Big Data, 2020
MCENN: A variant of extended nearest neighbor method for pattern recognition.
Pattern Recognit. Lett., 2020
Self-adaptive manifold discriminant analysis for feature extraction from hyperspectral imagery.
Pattern Recognit., 2020
Visual interaction networks: A novel bio-inspired computational model for image classification.
Neural Networks, 2020
A visual long-short-term memory based integrated CNN model for fabric defect image classification.
Neurocomputing, 2020
APLNet: Attention-enhanced progressive learning network.
Neurocomputing, 2020
Multi-attention deep reinforcement learning and re-ranking for vehicle re-identification.
Neurocomputing, 2020
Topical network embedding.
Data Min. Knowl. Discov., 2020
Multi-Agent Trust Region Policy Optimization.
CoRR, 2020
AlphaZero Based Post-Storm Vehicle Routing for Distribution Grid Restoration.
CoRR, 2020
Online Scheduling of a Residential Microgrid via Monte-Carlo Tree Search and a Learned Model.
CoRR, 2020
Synchronization of complex-valued dynamic networks with intermittently adaptive coupling: A direct error method.
Autom., 2020
A Deep Reinforcement Learning Based Approach for Home Energy Management System.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020
Event-triggered Multi-agent Optimal Regulation Using Adaptive Dynamic Programming.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
One-step Predictive Encoder - Gaussian Segment Model for Time Series Anomaly Detection.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
One-Shot Unsupervised Domain Adaptation for Object Detection.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Nucleus Neural Network: A Data-driven Self-organized Architecture.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Evolutionary Search for Energy-Efficient Distributed Cooperative Spectrum Sensing.
Proceedings of the International Conference on Computing, Networking and Communications, 2020
Dynamic Spectrum Access for Femtocell Networks: A Graph Neural Network Based Learning Approach.
Proceedings of the International Conference on Computing, Networking and Communications, 2020
Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Deep Learning Based Energy Efficiency Optimization for Distributed Cooperative Spectrum Sensing.
IEEE Wirel. Commun., 2019
Event-Triggered Optimal Neuro-Controller Design With Reinforcement Learning for Unknown Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2019
Learning Human-Robot Interaction for Robot-Assisted Pedestrian Flow Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2019
Parameterized Batch Reinforcement Learning for Longitudinal Control of Autonomous Land Vehicles.
IEEE Trans. Syst. Man Cybern. Syst., 2019
Data-Adaptive Robust Optimization Method for the Economic Dispatch of Active Distribution Networks.
IEEE Trans. Smart Grid, 2019
Dynamic Energy Management of a Microgrid Using Approximate Dynamic Programming and Deep Recurrent Neural Network Learning.
IEEE Trans. Smart Grid, 2019
Real-Time Demand Side Management for a Microgrid Considering Uncertainties.
IEEE Trans. Smart Grid, 2019
Interactive Energy Management for Enhancing Power Balances in Multi-Microgrids.
IEEE Trans. Smart Grid, 2019
Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning.
IEEE Trans. Smart Grid, 2019
Stochastic Optimization of Economic Dispatch for Microgrid Based on Approximate Dynamic Programming.
IEEE Trans. Smart Grid, 2019
Advanced Secondary Voltage Recovery Control for Multiple HESSs in a Droop-Controlled DC Microgrid.
IEEE Trans. Smart Grid, 2019
Resilient Wide-Area Damping Control Using GrHDP to Tolerate Communication Failures.
IEEE Trans. Smart Grid, 2019
Editorial: Booming of Neural Networks and Learning Systems.
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IEEE Trans. Neural Networks Learn. Syst., 2019
CGAN-MBL for Reliability Assessment With Imbalanced Transmission Gear Data.
IEEE Trans. Instrum. Meas., 2019
A Novel UKF-RBF Method Based on Adaptive Noise Factor for Fault Diagnosis in Pumping Unit.
IEEE Trans. Ind. Informatics, 2019
Neuro-Optimal Tracking Control for Continuous Stirred Tank Reactor With Input Constraints.
IEEE Trans. Ind. Informatics, 2019
Cooperative Deterministic Learning-Based Formation Control for a Group of Nonlinear Uncertain Mechanical Systems.
IEEE Trans. Ind. Informatics, 2019
Event-Triggered Globalized Dual Heuristic Programming and Its Application to Networked Control Systems.
IEEE Trans. Ind. Informatics, 2019
A Hierarchical Deep Domain Adaptation Approach for Fault Diagnosis of Power Plant Thermal System.
IEEE Trans. Ind. Informatics, 2019
A Novel Framework for Gear Safety Factor Prediction.
IEEE Trans. Ind. Informatics, 2019
An Event-Driven ADR Approach for Residential Energy Resources in Microgrids With Uncertainties.
IEEE Trans. Ind. Electron., 2019
A Novel Generative Model With Bounded-GAN for Reliability Classification of Gear Safety.
IEEE Trans. Ind. Electron., 2019
Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox.
IEEE Trans. Ind. Electron., 2019
Consensus-Based Distributed Control for Photovoltaic-Battery Units in a DC Microgrid.
IEEE Trans. Ind. Electron., 2019
ar-MOEA: A Novel Preference-Based Dominance Relation for Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2019
Data-Driven Distributed Output Consensus Control for Partially Observable Multiagent Systems.
IEEE Trans. Cybern., 2019
Functional Nonlinear Model Predictive Control Based on Adaptive Dynamic Programming.
IEEE Trans. Cybern., 2019
Adaptive Critic Designs for Event-Triggered Robust Control of Nonlinear Systems With Unknown Dynamics.
IEEE Trans. Cybern., 2019
AnswerNet: Learning to Answer Questions.
IEEE Trans. Big Data, 2019
Emotion-Semantic-Enhanced Neural Network.
IEEE ACM Trans. Audio Speech Lang. Process., 2019
Deep associative neural network for associative memory based on unsupervised representation learning.
Neural Networks, 2019
Distributive Dynamic Spectrum Access Through Deep Reinforcement Learning: A Reservoir Computing-Based Approach.
IEEE Internet Things J., 2019
Event-triggered differentially private average consensus for multi-agent network.
IEEE CAA J. Autom. Sinica, 2019
Nucleus Neural Network for Super Robust Learning.
CoRR, 2019
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2019
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2019
An Evolutionary Computation Approach for Smart Grid Cascading Failure Vulnerability Analysis.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Dynamic Power Sharing and Autonomous Voltage Regulation in Islanded DC Microgrids.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019
Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming.
Proceedings of the International Joint Conference on Neural Networks, 2019
Synthetic-to-Real Domain Adaptation for Object Instance Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2019
Adversarial Domain Adaptation via Category Transfer.
Proceedings of the International Joint Conference on Neural Networks, 2019
Imbalanced Learning for Cooperative Spectrum Sensing in Cognitive Radio Networks.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Optimization of Merging Pedestrian Flows Based on Adaptive Dynamic Programming.
Proceedings of the 2019 American Control Conference, 2019
2018
Growth and Success - Looking Forward to 2018 and Beyond.
IEEE Trans. Neural Networks Learn. 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 Process., 2018
Operating Parameters Optimization for the Aluminum Electrolysis Process Using an Improved Quantum-Behaved Particle Swarm Algorithm.
IEEE Trans. Ind. Informatics, 2018
Intelligent Optimal Control With Critic Learning for a Nonlinear Overhead Crane System.
IEEE Trans. Ind. Informatics, 2018
Adaptive Dynamic Programming for Robust Regulation and Its Application to Power Systems.
IEEE Trans. Ind. Electron., 2018
Dynamic Behavior of Terminal Sliding Mode Control.
IEEE Trans. Ind. Electron., 2018
Distributed Cooperative Control and Stability Analysis of Multiple DC Electric Springs in a DC Microgrid.
IEEE Trans. Ind. Electron., 2018
Model-Free Adaptive Control for Unknown Nonlinear Zero-Sum Differential Game.
IEEE Trans. Cybern., 2018
Formation Learning Control of Multiple Autonomous Underwater Vehicles With Heterogeneous Nonlinear Uncertain Dynamics.
IEEE Trans. Cybern., 2018
Data-Driven Finite-Horizon Approximate Optimal Control for Discrete-Time Nonlinear Systems Using Iterative HDP Approach.
IEEE Trans. Cybern., 2018
Learning to Navigate Through Complex Dynamic Environment With Modular Deep Reinforcement Learning.
IEEE Trans. Games, 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
Learning Without External Reward [Research Frontier].
IEEE Comput. Intell. Mag., 2018
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. 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
MILE: A minimally interactive learning framework for visual data analysis.
Proceedings of the IEEE 8th Annual Computing and Communication Workshop and Conference, 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. Syst. Man Cybern. Syst., 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 Networks Learn. Syst., 2017
Manifold-Based Reinforcement Learning via Locally Linear Reconstruction.
IEEE Trans. Neural Networks Learn. Syst., 2017
Air-Breathing Hypersonic Vehicle Tracking Control Based on Adaptive Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2017
Editorial: A Successful Year and Looking Forward to 2017 and Beyond.
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IEEE Trans. Neural Networks Learn. Syst., 2017
Event-Triggered Adaptive Dynamic Programming for Continuous-Time Systems With Control Constraints.
IEEE Trans. Neural Networks Learn. Syst., 2017
Adaptive Event-Triggered Control Based on Heuristic Dynamic Programming for Nonlinear Discrete-Time Systems.
IEEE Trans. Neural Networks Learn. Syst., 2017
Stacked Multilevel-Denoising Autoencoders: A New Representation Learning Approach for Wind Turbine Gearbox Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2017
A Finger Vein Image-Based Personal Identification System With Self-Adaptive Illuminance Control.
IEEE Trans. Instrum. Meas., 2017
Incorporating Intelligence in Fog Computing for Big Data Analysis in Smart Cities.
IEEE Trans. Ind. Informatics, 2017
Q-Learning-Based Vulnerability Analysis of Smart Grid Against Sequential Topology Attacks.
IEEE Trans. Inf. Forensics Secur., 2017
Event-Triggered Optimal Control for Partially Unknown Constrained-Input Systems via Adaptive Dynamic Programming.
IEEE Trans. Ind. Electron., 2017
A Novel Framework for Fault Diagnosis Using Kernel Partial Least Squares Based on an Optimal Preference Matrix.
IEEE Trans. Ind. Electron., 2017
Event-Driven Nonlinear Discounted Optimal Regulation Involving a Power System Application.
IEEE Trans. Ind. Electron., 2017
Intelligent Critic Control With Disturbance Attenuation for Affine Dynamics Including an Application to a Microgrid System.
IEEE Trans. Ind. Electron., 2017
Improved Sliding Mode Design for Load Frequency Control of Power System Integrated an Adaptive Learning Strategy.
IEEE Trans. Ind. Electron., 2017
Gr-GDHP: A New Architecture for Globalized Dual Heuristic Dynamic Programming.
IEEE Trans. Cybern., 2017
An Event-Triggered ADP Control Approach for Continuous-Time System With Unknown Internal States.
IEEE Trans. Cybern., 2017
Adaptive Critic Nonlinear Robust Control: A Survey.
IEEE Trans. Cybern., 2017
Improving the Critic Learning for Event-Based Nonlinear H<sub>∞</sub> Control Design.
IEEE Trans. Cybern., 2017
Data-Driven Tracking Control With Adaptive Dynamic Programming for a Class of Continuous-Time Nonlinear Systems.
IEEE Trans. Cybern., 2017
GIR-based ensemble sampling approaches for imbalanced learning.
Pattern Recognit., 2017
A local density-based approach for outlier detection.
Neurocomputing, 2017
A chance constrained optimal reserve scheduling approach for economic dispatch considering wind penetration.
IEEE CAA J. Autom. Sinica, 2017
Guest editorial for special issue on control and optimization in renewable energy systems.
IEEE CAA J. Autom. Sinica, 2017
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2017
Novel iterative neural dynamic programming for data-based approximate optimal control design.
Autom., 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
Online energy flow control for residential microgrids with URGs: An event-driven approach.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
Sampled-data-based tracking for heterogeneous nonlinear second-order multiagent systems.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 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 Process., 2016
A Theoretical Foundation of Goal Representation Heuristic Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2016
Adaptive Modulation for DFIG and STATCOM With High-Voltage Direct Current Transmission.
IEEE Trans. Neural Networks Learn. Syst., 2016
Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond.
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IEEE Trans. Neural Networks Learn. 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. Ind. Electron., 2016
Multi-Objective Bacterial Foraging Optimization Algorithm Based on Parallel Cell Entropy for Aluminum Electrolysis Production Process.
IEEE Trans. Ind. Electron., 2016
Human Mobility Modeling for Robot-Assisted Evacuation in Complex Indoor Environments.
IEEE Trans. Hum. Mach. Syst., 2016
Fuzzy-Based Goal Representation Adaptive Dynamic Programming.
IEEE Trans. Fuzzy Syst., 2016
Near-Optimal Tracking Control of Mobile Robots Via Receding-Horizon Dual Heuristic Programming.
IEEE Trans. Cybern., 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 Syst., 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
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
CIS Publication Spotlight Publication Spotlight.
IEEE Comput. Intell. Mag., 2016
CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2016
Conference Report on 2015 International Joint Conference on Neural Networks (IJCNN 2015) [Conference Reports].
IEEE Comput. Intell. 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 Networks Learn. Syst., 2015
GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2015
Model-Free Dual Heuristic Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2015
Joint Substation-Transmission Line Vulnerability Assessment Against the Smart Grid.
IEEE Trans. Inf. Forensics Secur., 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.
Cogn. Comput., 2015
An Improved SVM-Based Cognitive Diagnosis Algorithm for Operation States of Distribution Grid.
Cogn. Comput., 2015
ENN: Extended Nearest Neighbor Method for Pattern Recognition [Research Frontier].
IEEE Comput. Intell. Mag., 2015
Conference Report for 2014 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014) [Conference Reports].
IEEE Comput. Intell. Mag., 2015
Comparisons of ADABOOST, KNN, SVM and Logistic Regression in Classification of Imbalanced Dataset.
Proceedings of the Soft Computing in Data Science - First International Conference, 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
A Hierarchical Distributed Fog Computing Architecture for Big Data Analysis in Smart Cities.
Proceedings of the ASE BigData & SocialInformatics 2015, 2015
2014
Revealing Cascading Failure Vulnerability in Power Grids Using Risk-Graph.
IEEE Trans. Parallel Distributed Syst., 2014
Optimal Control for Unknown Discrete-Time Nonlinear Markov Jump Systems Using Adaptive Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2014
Resilience Analysis of Power Grids Under the Sequential Attack.
IEEE Trans. Inf. Forensics Secur., 2014
Integrated Security Analysis on Cascading Failure in Complex Networks.
IEEE Trans. Inf. Forensics Secur., 2014
Kernel-Based Approximate Dynamic Programming for Real-Time Online Learning Control: An Experimental Study.
IEEE Trans. Control. Syst. Technol., 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. Appl. Math., 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.
Cogn. Comput., 2014
Intelligence for Embedded Systems: A Methodological Approach [Book Review].
IEEE Comput. Intell. 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 Networks Learn. Syst., 2013
Online Learning Control Using Adaptive Critic Designs With Sparse Kernel Machines.
IEEE Trans. Neural Networks Learn. Syst., 2013
Goal Representation Heuristic Dynamic Programming on Maze Navigation.
IEEE Trans. Neural Networks Learn. Syst., 2013
Adaptive Learning in Tracking Control Based on the Dual Critic Network Design.
IEEE Trans. Neural Networks Learn. Syst., 2013
Multi-Contingency Cascading Analysis of Smart Grid Based on Self-Organizing Map.
IEEE Trans. Inf. Forensics Secur., 2013
Heuristic dynamic programming with internal goal representation.
Soft Comput., 2013
Ensemble learning for wind profile prediction with missing values.
Neural Comput. Appl., 2013
Spatial outlier detection based on iterative self-organizing learning model.
Neurocomputing, 2013
Special Issue Editorial: Computational Intelligence and Applications.
Cogn. Comput., 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 Networks Learn. Syst., 2012
SOMKE: Kernel Density Estimation Over Data Streams by Sequences of Self-Organizing Maps.
IEEE Trans. Neural Networks Learn. 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 Comput. Appl., 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 Comput. Intell. Mag., 2012
A New Web Home for the IEEE CIS [Society Briefs].
IEEE Comput. Intell. 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
Adaptive Learning and Control for MIMO System Based on Adaptive Dynamic Programming.
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.
Evol. Syst., 2011
Special Issue on Computational Intelligence in Smart Grid [Guest Editorial].
IEEE Comput. Intell. Mag., 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.
Int. J. Comput. Biol. Drug Des., 2010
Special Issue Editorial: Advances in Computational Intelligence and Applications.
Cogn. Comput., 2010
Redundancy Estimation and Adaptive Density Control in Wireless Sensor Networks.
Ad Hoc Sens. Wirel. 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
Fuzzy Modeling and Fuzzy Control [Book Review].
IEEE Comput. Intell. Mag., 2008
Special issue on life system modeling and bio-inspired computing for LSMS 2007.
Appl. Math. Comput., 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. Circuits Syst. II Express Briefs, 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