Wen Yao

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
Optimizing Latent Variables in Integrating Transfer and Query Based Attack Framework.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2025

Gradient-based sparse voxel attacks on point cloud object detection.
Pattern Recognit., 2025

2024
Rapidly Evolving Soft Robots via Action Inheritance.
IEEE Trans. Evol. Comput., December, 2024

Integrated Satellite-Terrestrial Network Framework for Next Generation Smart Grid.
IEEE Trans. Smart Grid, September, 2024

Social Behavior Analysis in Exclusive Enterprise Social Networks by FastHAND.
ACM Trans. Knowl. Discov. Data, July, 2024

Adversarial attacks in computer vision: a survey.
J. Membr. Comput., June, 2024

Combined classification and regression inverse kinematics modeling for overall shape prediction of soft manipulators.
Adv. Robotics, June, 2024

Offline Data-Driven Multiobjective Optimization Evolutionary Algorithm Based on Generative Adversarial Network.
IEEE Trans. Evol. Comput., April, 2024

Multi-Objective Optimization of Dynamic Communication Network for Multi-UAVs System.
IEEE Trans. Veh. Technol., March, 2024

Surrogate-Assisted Environmental Selection for Fast Hypervolume-Based Many-Objective Optimization.
IEEE Trans. Evol. Comput., February, 2024

Spatiotemporal Distributions of the Thunderstorm and Lightning Structures over the Qinghai-Tibet Plateau.
Remote. Sens., February, 2024

Efficient search of comprehensively robust neural architectures via multi-fidelity evaluation.
Pattern Recognit., February, 2024

Algorithms for Bayesian network modeling and reliability inference of complex multistate systems with common cause failure.
Reliab. Eng. Syst. Saf., January, 2024

Contrastive enhancement using latent prototype for few-shot segmentation.
Digit. Signal Process., January, 2024

Improving Transferability of Universal Adversarial Perturbation With Feature Disruption.
IEEE Trans. Image Process., 2024

Bridge the Spatial Semantic Gap: Multiattention Shape Adaptive Network for Infrared Target Segmentation.
IEEE Trans. Instrum. Meas., 2024

HyperDID: Hyperspectral Intrinsic Image Decomposition With Deep Feature Embedding.
IEEE Trans. Geosci. Remote. Sens., 2024

Deep Intrinsic Decomposition With Adversarial Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

Learnable quantile polynomial chaos expansion: An uncertainty quantification method for interval reliability analysis.
Reliab. Eng. Syst. Saf., 2024

AdvOps: Decoupling adversarial examples.
Pattern Recognit., 2024

An invisible, robust copyright protection method for DNN-generated content.
Neural Networks, 2024

Adversarial Infrared Curves: An attack on infrared pedestrian detectors in the physical world.
Neural Networks, 2024

Adversarial infrared blocks: A multi-view black-box attack to thermal infrared detectors in physical world.
Neural Networks, 2024

Multi-objective evolutionary search of variable-length composite semantic perturbations.
Inf. Sci., 2024

FTESO-adaptive neural network based safety control for a quadrotor UAV under multiple disturbances: algorithm and experiments.
Ind. Robot, 2024

Adversarial patch-based false positive creation attacks against aerial imagery object detectors.
Neurocomputing, 2024

A hybrid method based on proper orthogonal decomposition and deep neural networks for flow and heat field reconstruction.
Expert Syst. Appl., 2024

A hybrid Monte Carlo quantile EMD-LSTM method for satellite in-orbit temperature prediction and data uncertainty quantification.
Expert Syst. Appl., 2024

Structural rearrangement of the network system from an efficiency perspective: A silver lining of profit improvement.
Eur. J. Oper. Res., 2024

Black-box adversarial patch attacks using differential evolution against aerial imagery object detectors.
Eng. Appl. Artif. Intell., 2024

A novel PoI temperature prediction method for heat source system based on graph convolutional networks.
Eng. Appl. Artif. Intell., 2024

A physics-driven sensor placement optimization methodology for temperature field reconstruction.
CoRR, 2024

Improving the Transferability of Adversarial Examples by Feature Augmentation.
CoRR, 2024

Universal Multi-view Black-box Attack against Object Detectors via Layout Optimization.
CoRR, 2024

Structural Knowledge-Driven Meta-Learning for Task Offloading in Vehicular Networks with Integrated Communications, Sensing and Computing.
CoRR, 2024

Two-dimensional materials for future information technology: status and prospects.
Sci. China Inf. Sci., 2024

A multi-objective particle swarm optimization based on local ideal points.
Appl. Soft Comput., 2024

Solving spatiotemporal partial differential equations with Physics-informed Graph Neural Network.
Appl. Soft Comput., 2024

Time-varying group formation tracking for nonlinear multi-agent systems under switching topologies.
Appl. Intell., 2024

Implicitly physics-informed multi-fidelity physical field data fusion method based on Taylor modal decomposition.
Adv. Eng. Informatics, 2024

Hybrid digital twin for satellite temperature field perception and attitude control.
Adv. Eng. Informatics, 2024

HeteroMorpheus: Universal Control Based on Morphological Heterogeneity Modeling.
Proceedings of the International Joint Conference on Neural Networks, 2024

PapMOT: Exploring Adversarial Patch Attack Against Multiple Object Tracking.
Proceedings of the Computer Vision - ECCV 2024, 2024

Distributed time-varying group formation tracking for multi-UAV systems subject to switching directed topologies.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

The Constrained Niching Differential Evolution Algorithm for Satellite Layout Optimization Design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Empirical Study on Averaging-based Noise-Tolerant Methods for Expensive Combinatorial Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

QRPatch: A Deceptive Texture-Based Black-Box Adversarial Attacks with Genetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Parameterized coefficient fine-tuning-based polynomial chaos expansion method for sphere-biconic reentry vehicle reliability analysis and design.
Reliab. Eng. Syst. Saf., December, 2023

Significant Location Accuracy Changes Resulting from Lightning Detection Networks Deployed on Inclined Terrains.
Remote. Sens., December, 2023

Ground Experiment of Safe Proximity Control for Complex-Shaped Spacecraft.
IEEE Trans. Ind. Electron., November, 2023

Bayesian physics-informed extreme learning machine for forward and inverse PDE problems with noisy data.
Neurocomputing, September, 2023

A multi-objective memetic algorithm for automatic adversarial attack optimization design.
Neurocomputing, August, 2023

Reliability analysis of heat source layout temperature field prediction considering uncertainty in deep neural network surrogate models.
Qual. Reliab. Eng. Int., July, 2023

Adversarial patch attacks against aerial imagery object detectors.
Neurocomputing, June, 2023

A machine learning surrogate modeling benchmark for temperature field reconstruction of heat source systems.
Sci. China Inf. Sci., May, 2023

Gain measurement and payoff allocation for the internal resource sharing based on DEA approach.
J. Oper. Res. Soc., April, 2023

Bidirectional Data-Driven Trajectory Prediction for Intelligent Maritime Traffic.
IEEE Trans. Intell. Transp. Syst., February, 2023

Sow Farrowing Early Warning and Supervision for Embedded Board Implementations.
Sensors, January, 2023

InTEn-LOAM: Intensity and Temporal Enhanced LiDAR Odometry and Mapping.
Remote. Sens., January, 2023

Natural Weather-Style Black-Box Adversarial Attacks Against Optical Aerial Detectors.
IEEE Trans. Geosci. Remote. Sens., 2023

Deep adaptive arbitrary polynomial chaos expansion: A mini-data-driven semi-supervised method for uncertainty quantification.
Reliab. Eng. Syst. Saf., 2023

Adaptive momentum variance for attention-guided sparse adversarial attacks.
Pattern Recognit., 2023

Differential evolution based dual adversarial camouflage: Fooling human eyes and object detectors.
Neural Networks, 2023

A CNN with noise inclined module and denoise framework for hyperspectral image classification.
IET Image Process., 2023

Physics-informed convolutional neural networks for temperature field prediction of heat source layout without labeled data.
Eng. Appl. Artif. Intell., 2023

Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network.
Eng. Appl. Artif. Intell., 2023

Joint deep reversible regression model and physics-informed unsupervised learning for temperature field reconstruction.
Eng. Appl. Artif. Intell., 2023

Universal Perturbation-based Secret Key-Controlled Data Hiding.
CoRR, 2023

Adversarial Examples in the Physical World: A Survey.
CoRR, 2023

MultiScale Spectral-Spatial Convolutional Transformer for Hyperspectral Image Classification.
CoRR, 2023

Deep Intrinsic Decomposition with Adversarial Learning for Hyperspectral Image Classification.
CoRR, 2023

Training Latency Minimization for Model-Splitting Allowed Federated Edge Learning.
CoRR, 2023

A Plug-and-Play Defensive Perturbation for Copyright Protection of DNN-based Applications.
CoRR, 2023

Multi-fidelity prediction of fluid flow and temperature field based on transfer learning using Fourier Neural Operator.
CoRR, 2023

Uncertainty Guided Ensemble Self-Training for Semi-Supervised Global Field Reconstruction.
CoRR, 2023

RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator.
CoRR, 2023

Bayesian evolutionary optimization for crafting high-quality adversarial examples with limited query budget.
Appl. Soft Comput., 2023

Distributions-free Martingales Test Distributions-shift.
Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

A Unified Framework of Deep Neural Networks and Gappy Proper Orthogonal Decomposition for Global Field Reconstruction.
Proceedings of the International Joint Conference on Neural Networks, 2023

Swarm Behavior Recognition: Martingales Protected Paradigm.
Proceedings of the International Joint Conference on Neural Networks, 2023

Conformal Prediction Enhanced SVMs for Swarm Behavior Classification.
Proceedings of the International Joint Conference on Neural Networks, 2023

Research on Fine-grained Classification of Scene Images Fused with Multimodality.
Proceedings of the 15th International Conference on Machine Learning and Computing, 2023

RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Method for Flow Field Reconstruction based on Fourier Neural Operator Network.
Proceedings of the 9th International Conference on Computing and Artificial Intelligence, 2023

IK-MLP-based Control for a Pneumatic Soft Manipulator.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

Knowledge-Driven Resource Allocation for Efficient Task Offloading in Connected Autonomous Vehicles.
Proceedings of the IEEE Global Communications Conference, 2023

Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Event-Triggered Fault Detection Filtering of Fuzzy-Model-Based Systems With Prescribed Performance.
IEEE Trans. Fuzzy Syst., 2022

Event-Triggered Sliding-Mode Control of Networked Fuzzy Systems With Strict Dissipativity.
IEEE Trans. Fuzzy Syst., 2022

Disjunctive Fuzzy Neural Networks: A New Splitting-Based Approach to Designing a T-S Fuzzy Model.
IEEE Trans. Fuzzy Syst., 2022

A Surrogate-Assisted Evolutionary Feature Selection Algorithm With Parallel Random Grouping for High-Dimensional Classification.
IEEE Trans. Evol. Comput., 2022

An Approximated Gradient Sign Method Using Differential Evolution for Black-Box Adversarial Attack.
IEEE Trans. Evol. Comput., 2022

Deep Kernel-Based Optimal Control Prediction in Aerospace Missions.
IEEE Trans. Aerosp. Electron. Syst., 2022

Efficient Informative Path Planning via Normalized Utility in Unknown Environments Exploration.
Sensors, 2022

Consistency regularization-based deep polynomial chaos neural network method for reliability analysis.
Reliab. Eng. Syst. Saf., 2022

Characteristics of Regions with High-Density Initiation of Flashes in Mesoscale Convective Systems.
Remote. Sens., 2022

Spatiotemporal Correlation between Artificially Triggered and Adjacent Natural Lightning Flashes.
Remote. Sens., 2022

Thunderstorm Activity over the Qinghai-Tibet Plateau Indicated by the Combined Data of the FY-2E Geostationary Satellite and WWLLN.
Remote. Sens., 2022

A novel meta-learning initialization method for physics-informed neural networks.
Neural Comput. Appl., 2022

LIRBase: a comprehensive database of long inverted repeats in eukaryotic genomes.
Nucleic Acids Res., 2022

DEA game for internal cooperation between an upper-level process and multiple lower-level processes.
J. Oper. Res. Soc., 2022

Heterogeneous big data fusion in distributed networking systems for anomaly detection and localisation.
Int. J. Secur. Networks, 2022

Self-adaptive loss balanced Physics-informed neural networks.
Neurocomputing, 2022

Temperature field inversion of heat-source systems via physics-informed neural networks.
Eng. Appl. Artif. Intell., 2022

RBF-MGN: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network.
CoRR, 2022

Robust Regression with Highly Corrupted Data via Physics Informed Neural Networks.
CoRR, 2022

A Survey on Physical Adversarial Attack in Computer Vision.
CoRR, 2022

Physics-informed MTA-UNet: Prediction of Thermal Stress and Thermal Deformation of Satellites.
CoRR, 2022

A Multi-objective Memetic Algorithm for Auto Adversarial Attack Optimization Design.
CoRR, 2022

Reliability Analysis of Complex Multi-State System Based on Universal Generating Function and Bayesian Network.
CoRR, 2022

Heat Source Layout Optimization Using Automatic Deep Learning Surrogate Model and Multimodal Neighborhood Search Algorithm.
CoRR, 2022

RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks.
CoRR, 2022

Algorithms for Bayesian network modeling and reliability inference of complex multistate systems: Part II-Dependent systems.
CoRR, 2022

Parameterized Consistency Learning-based Deep Polynomial Chaos Neural Network Method for Reliability Analysis in Aerospace Engineering.
CoRR, 2022

A physics and data co-driven surrogate modeling approach for temperature field prediction on irregular geometric domain.
CoRR, 2022

Semi-supervision semantic segmentation with uncertainty-guided self cross supervision.
CoRR, 2022

Searching for Robust Neural Architectures via Comprehensive and Reliable Evaluation.
CoRR, 2022

Physics-Informed Deep Monte Carlo Quantile Regression method for Interval Multilevel Bayesian Network-based Satellite Heat Reliability Analysis.
CoRR, 2022

A deep learning method based on patchwise training for reconstructing temperature field.
CoRR, 2022

Cooperative performance evaluation among homogeneous parallel decision making units with coalition structures.
Comput. Ind. Eng., 2022

Improving carbon emission performance of thermal power plants in China: An environmental benchmark selection approach.
Comput. Ind. Eng., 2022

Development of interactive biological web applications with R/Shiny.
Briefings Bioinform., 2022

Adaptive hybrid impedance control for dual-arm cooperative manipulation with object uncertainties.
Autom., 2022

A surrogate-assisted evolutionary algorithm with hypervolume triggered fidelity adjustment for noisy multiobjective integer programming.
Appl. Soft Comput., 2022

LightNet+: A dual-source lightning forecasting network with bi-direction spatiotemporal transformation.
Appl. Intell., 2022

Deep Learning Based Thermal Stress and Deformation Analysis of Satellites.
Proceedings of the Modern Management based on Big Data III, 2022

A Streaming End-to-End Speech Recognition Approach Based on WeNet for Tibetan Amdo Dialect.
Proceedings of the 5th International Conference on Machine Learning and Natural Language Processing, 2022

Understanding Negative Calibration from Entropy Perspective.
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

Improve Calibration Robustness of Temperature Scaling by Penalizing Output Entropy.
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction.
Proceedings of the International Joint Conference on Neural Networks, 2022

Semi-supervised Semantic Segmentation with Uncertainty-Guided Self Cross Supervision.
Proceedings of the Computer Vision - ACCV 2022, 2022

FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Application of Ensemble Empirical Mode Decomposition in Low-Frequency Lightning Electric Field Signal Analysis and Lightning Location.
IEEE Trans. Geosci. Remote. Sens., 2021

Event-Triggered Fuzzy Control for Nonlinear Systems via Sliding Mode Approach.
IEEE Trans. Fuzzy Syst., 2021

Fault Detection Filter Design for Nonlinear Singular Systems With Markovian Jump Parameters.
IEEE Syst. J., 2021

Evaluation of Deep Learning Segmentation Models for Detection of Pine Wilt Disease in Unmanned Aerial Vehicle Images.
Remote. Sens., 2021

TFRD: A Benchmark Dataset for Research on Temperature Field Reconstruction of Heat-Source Systems.
CoRR, 2021

Mini-data-driven Deep Arbitrary Polynomial Chaos Expansion for Uncertainty Quantification.
CoRR, 2021

Randomized ReLU Activation for Uncertainty Estimation of Deep Neural Networks.
CoRR, 2021

IDRLnet: A Physics-Informed Neural Network Library.
CoRR, 2021

Physics-Informed Deep Reversible Regression Model for Temperature Field Reconstruction of Heat-Source Systems.
CoRR, 2021

A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout.
CoRR, 2021

A Near-Field-Focused Reflectarray for Highly Efficient Wireless Power Transfer Application: An NFF Reflectarray for Highly Efficient WPT.
Proceedings of the ICCBN 2021: 9th International Conference on Communications and Broadband Networking, Shanghai, China, 25 February, 2021, 2021

SFLU: Synchronization-Free Sparse LU Factorization for Fast Circuit Simulation on GPUs.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

Research on Recommender System Based on Curiosity Guided Identity Modification.
Proceedings of the AIAM 2021: 3rd International Conference on Artificial Intelligence and Advanced Manufacture, Manchester, United Kingdom, October 23, 2021

2020
Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using Semi-Supervised Learning.
IEEE Trans. Intell. Transp. Syst., 2020

Multisource Selective Transfer Framework in Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput., 2020

Event-Triggered Fuzzy Control of Repeated Scalar Nonlinear Systems and its Application to Chua's Circuit System.
IEEE Trans. Circuits Syst., 2020

Algorithms for Bayesian network modeling and reliability inference of complex multistate systems: Part I - Independent systems.
Reliab. Eng. Syst. Saf., 2020

An iterative information integration method for multi-level system reliability analysis based on Bayesian Melding Method.
Reliab. Eng. Syst. Saf., 2020

A Novel Method for Broiler Abnormal Sound Detection Using WMFCC and HMM.
J. Sensors, 2020

MicroRNAs Are Involved in Maize Immunity Against <i>Fusarium verticillioides</i> Ear Rot.
Genom. Proteom. Bioinform., 2020

Accelerating Physics-Informed Neural Network Training with Prior Dictionaries.
CoRR, 2020

High-accuracy, high-resolution downwash flow field measurements of an unmanned helicopter for precision agriculture.
Comput. Electron. Agric., 2020

Fuzzy Linear regression based on approximate Bayesian computation.
Appl. Soft Comput., 2020

Parametric Reconstruction Method for the Long Time-Series Return-Stroke Current of Triggered Lightning Based on the Particle Swarm Optimization Algorithm.
IEEE Access, 2020

A Heterogeneous Spatiotemporal Network for Lightning Prediction.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Dissipativity-Based Fuzzy Control of Nonlinear Systems via an Event-Triggered Mechanism.
IEEE Trans. Syst. Man Cybern. Syst., 2019

On-Road Vehicle Tracking Using Part-Based Particle Filter.
IEEE Trans. Intell. Transp. Syst., 2019

Event-Triggered Fuzzy Filtering for Nonlinear Dynamic Systems via Reduced-Order Approach.
IEEE Trans. Fuzzy Syst., 2019

Improved compression inference algorithm for reliability analysis of complex multistate satellite system based on multilevel Bayesian network.
Reliab. Eng. Syst. Saf., 2019

A common-weight DEA model for multi-criteria ABC inventory classification with quantitative and qualitative criteria.
RAIRO Oper. Res., 2019

Profit inefficiency decomposition in a serial-structure system with resource sharing.
J. Oper. Res. Soc., 2019

shinyChromosome: An R/Shiny Application for Interactive Creation of Non-circular Plots of Whole Genomes.
Genom. Proteom. Bioinform., 2019

A new spray deposition pattern measurement system based on spectral analysis of a fluorescent tracer.
Comput. Electron. Agric., 2019

ECOGEMS: efficient compression and retrieve of SNP data of 2058 rice accessions with integer sparse matrices.
Bioinform., 2019

Complex Satellite Lifetime Optimization Based on Bayesian Network Reliability Compression Inference Algorithm.
IEEE Access, 2019

Satellite System Design Optimization Based on Bayesian Melding of Multi-Level Multi-Source Lifetime Information.
IEEE Access, 2019

Attention-Based Dual-Source Spatiotemporal Neural Network for Lightning Forecast.
IEEE Access, 2019

LightNet: A Dual Spatiotemporal Encoder Network Model for Lightning Prediction.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Supervised Learning for Semantic Segmentation of 3D LiDAR Data.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Learning Scene Adaptive Covariance Error Model of LiDAR Scan Matching for Fusion Based Localization.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Off-Road Drivable Area Extraction Using 3D LiDAR Data.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Camera and LiDAR Fusion for On-road Vehicle Tracking with Reinforcement Learning.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

2018
Selection of Six Sigma project with interval data: common weight DEA model.
Kybernetes, 2018

超密集网络中子信道和功率分配研究 (Study of Sub-channel and Power Allocation in Ultra-dense Networks).
计算机科学, 2018

An automatic ear base temperature extraction method for top view piglet thermal image.
Comput. Electron. Agric., 2018

shinyCircos: an R/Shiny application for interactive creation of Circos plot.
Bioinform., 2018

Fast Accessibility Evaluation of the Main-Belt Asteroids Manned Exploration Mission Based on a Learning Method.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Multistate Satellite System Reliability Optimization Based on Improved Compression Inference Algorithm and Bayesian Network.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Satellite Lifetime Optimization Based on Discrete Cross Entropy Method.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

The Hybrid Algorithms Based on Differential Evolution for Satellite Layout Optimization Design.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
On-Road Vehicle Trajectory Collection and Scene-Based Lane Change Analysis: Part II.
IEEE Trans. Intell. Transp. Syst., 2017

Cloud Type Classification of Total-Sky Images Using Duplex Norm-Bounded Sparse Coding.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

2016
Ensemble of surrogates based on error classification by unsupervised learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Application of multi-objective alliance algorithm to multidisciplinary design optimization under uncertainty.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
RiceVarMap: a comprehensive database of rice genomic variations.
Nucleic Acids Res., 2015

A hybrid method based on extreme learning machine and k-nearest neighbor for cloud classification of ground-based visible cloud image.
Neurocomputing, 2015

Development of Nitrogen Parameter Detector for Orchard Monitoring Based on Spectroscopy.
Intell. Autom. Soft Comput., 2015

2014
A semantic authorization model for pervasive healthcare.
J. Netw. Comput. Appl., 2014

Automatic lane change data extraction from car data sequence.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2013
An enhanced unified uncertainty analysis approach based on first order reliability method with single-level optimization.
Reliab. Eng. Syst. Saf., 2013

Flexible Process Compliance with Semantic Constraints Using Mixed-Integer Programming.
INFORMS J. Comput., 2013

CONFlexFlow: Integrating Flexible clinical pathways into clinical decision support systems using context and rules.
Decis. Support Syst., 2013

Lane change trajectory prediction by using recorded human driving data.
Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

Vehicle trajectory prediction based on motion model and maneuver recognition.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Tell Me What I Don't Know-Making the Most of Social Health Forums.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2013

2012
Concurrent Subspace Width Optimization Method for RBF Neural Network Modeling.
IEEE Trans. Neural Networks Learn. Syst., 2012

The Adoption and Implementation of RFID Technologies in Healthcare: A Literature Review.
J. Medical Syst., 2012

Design and management of flexible process variants using templates and rules.
Comput. Ind., 2012

Governance Framework for IT Transformation Projects in Outsourcing.
Proceedings of the 2012 Annual SRII Global Conference, San Jose, CA, USA, July 24-27, 2012, 2012

Omni-directional detection and tracking of on-road vehicles using multiple horizontal laser scanners.
Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012

Learning lane change trajectories from on-road driving data.
Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012

Integrating clinical pathways into CDSS using context and rules: a case study in heart disease.
Proceedings of the ACM International Health Informatics Symposium, 2012

A Context-Aware framework for patient Navigation and Engagement (CANE).
Proceedings of the 8th International Conference on Collaborative Computing: Networking, 2012

Towards a Formal Process-driven Framework for Streamlining Patient-centric Care.
Proceedings of the CAiSE'12 Forum at the 24<sup>th</sup> International Conference on Advanced Information Systems Engineering (CAiSE), 2012

Modeling and Configuration of Process Variants for On-Boarding Customers to IT Outsourcing.
Proceedings of the 2012 IEEE Ninth International Conference on Services Computing, 2012

2011
Leveraging complex event processing for smart hospitals using RFID.
J. Netw. Comput. Appl., 2011

2010
Ontology-Driven Event Detection and Indexing in Smart Spaces.
Proceedings of the 4th IEEE International Conference on Semantic Computing (ICSC 2010), 2010

Ensuring Compliance with Semantic Constraints in Process Adaptation with Rule-Based Event Processing.
Proceedings of the Semantic Web Rules - International Symposium, 2010

Euclidean distance and second derivative based widths optimization of radial basis function neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
A gradient-based sequential radial basis function neural network modeling method.
Neural Comput. Appl., 2009

Process Materialization Using Templates and Rules to Design Flexible Process Models.
Proceedings of the Rule Interchange and Applications, International Symposium, 2009

A Sequential Radial Basis Function Neural Network Modeling Method Based on Partial Cross Validation Error Estimation.
Proceedings of the Fifth International Conference on Natural Computation, 2009

RFID Privacy Concerns: A Conceptual Analysis in the Healthcare Sector.
Proceedings of the 15th Americas Conference on Information Systems, 2009

2006
Inductive Charging with Multiple Charger Nodes in Wireless Sensor Networks.
Proceedings of the Advanced Web and Network Technologies, and Applications, 2006


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