2024
Variable Weight Combination Model for Lane- Changing Prediction of Human-Driven Vehicle.
IEEE Trans. Intell. Veh., October, 2024
MFMANet: a multispectral pedestrian detection network using multi-resolution RGB feature reuse with multi-scale FIR attentions.
Mach. Vis. Appl., July, 2024
Refined Self-Attention Transformer Model for ECG-Based Arrhythmia Detection.
IEEE Trans. Instrum. Meas., 2024
GT-LSTM: A spatio-temporal ensemble network for traffic flow prediction.
Neural Networks, 2024
A Robust Image Dehazing Model Using Cycle Generative Adversarial Network with an Improved Atmospheric Scatter Model.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
Multispectral pedestrian detection based on UNet and attention mechanism.
Proceedings of the 2024 International Conference on Generative Artificial Intelligence and Information Security, 2024
2023
A Neural Network Based on Spatial Decoupling and Patterns Diverging for Urban Rail Transit Ridership Prediction.
IEEE Trans. Intell. Transp. Syst., December, 2023
2022
Long-Tailed Traffic Sign Detection Using Attentive Fusion and Hierarchical Group Softmax.
IEEE Trans. Intell. Transp. Syst., 2022
A Post-Hoc Interpretable Ensemble Model to Feature Effect Analysis in Warfarin Dose Prediction for Chinese Patients.
IEEE J. Biomed. Health Informatics, 2022
Low-illumination traffic object detection using the saliency region of infrared image masking on infrared-visible fusion image.
J. Electronic Imaging, 2022
A graph-based sensor recommendation model in semantic sensor network.
Int. J. Distributed Sens. Networks, 2022
ECG-based expert-knowledge attention network to tachyarrhythmia recognition.
Biomed. Signal Process. Control., 2022
Quickly Convert Photoplethysmography to Electrocardiogram Signals by a Banded Kernel Ensemble Learning Method for Heart Diseases Detection.
IEEE Access, 2022
Lightweight Image Dehazing Neural Network Model Based on Estimating Medium Transmission Map by Intensity.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022
2021
Dual-attention network with multitask learning for multistep short-term speed prediction on expressways.
Neural Comput. Appl., 2021
Evolutionary synthetic oversampling technique and cocktail ensemble model for warfarin dose prediction with imbalanced data.
Neural Comput. Appl., 2021
Graph-based service recommendation in Social Internet of Things.
Int. J. Distributed Sens. Networks, 2021
GC-Net: Gridding and Clustering for Traffic Object Detection With Roadside LiDAR.
IEEE Intell. Syst., 2021
2020
A cascaded step-temporal attention network for ECG arrhythmia classification.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
An Ensemble Model With Clustering Assumption for Warfarin Dose Prediction in Chinese Patients.
IEEE J. Biomed. Health Informatics, 2019
Evolutionary Ensemble Learning Algorithm to Modeling of Warfarin Dose Prediction for Chinese.
IEEE J. Biomed. Health Informatics, 2019
A multi-population evolution stratagy and its application in low area/power FSM synthesis.
Nat. Comput., 2019
An Efficient Preference-Based Sensor Selection Method in Internet of Things.
IEEE Access, 2019
A Multitask Learning Neural Network for Short-Term Traffic Speed Prediction and Confidence Estimation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019
Evolutionary synthetic minority oversampling technique with random forest for warfarin dose prediction in Chinese patients.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
MPGA: an evolutionary state assignment for dynamic and leakage power reduction in FSM synthesis.
IET Comput. Digit. Tech., 2018
Fuzzy c-mean clustering-based decomposition with GA optimizer for FSM synthesis targeting to low power.
Eng. Appl. Artif. Intell., 2018
"WarfarinSeer": a predictive tool based on SMOTE-random forest to improve warfarin dose prediction in Chinese patients.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
An extrinsic EHW system for the evolutionary optimization and design of sequential circuit.
Proceedings of the 2018 Artificial Intelligence and Cloud Computing Conference, 2018
2017
Salient object detection via color and texture cues.
Neurocomputing, 2017
Swarm ANN/SVR-Based Modeling Method for Warfarin Dose Prediction in Chinese.
Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017
Low-power FSM synthesis using a fuzzy c-mean clustering-based decomposition.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Evolutionary learning-based modeling for warfarin dose prediction in Chinese.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Genetic Fuzzy c-mean clustering-based decomposition for low power FSM synthesis.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
A systematic EHW approach to the evolutionary design of sequential circuits.
Soft Comput., 2016
A projection-based decomposition for the scalability of evolvable hardware.
Soft Comput., 2016
Non-intrusive Traffic Data Collection with Wireless Sensor Networks for Intelligent Transportation Systems.
Ad Hoc Sens. Wirel. Networks, 2016
A genetic algorithm-based multicast tree for routing in pub/sub system.
Proceedings of the 2nd International Conference on Communication and Information Processing, 2016
2015
An Evolutionary Strategy Based State Assignment for Area-Minimization Finite State Machines.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
2014
A projection-based decomposition in EHW method for design of relatively large circuits.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
2013
A module-level three-stage approach to the evolutionary design of sequential logic circuits.
Genet. Program. Evolvable Mach., 2013
A New Dynamic Population Variation in Genetic Programming.
Comput. Informatics, 2013
2012
Using module-level Evolvable Hardware approach in design of sequential logic circuits.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2010
Dynamic Population Variation Genetic Programming with Kalman Operator for Power System Load Modeling.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010