2024
A teacher-student deep learning strategy for extreme low resolution unsafe action recognition in construction projects.
Adv. Eng. Informatics, 2024
Generalizing knowledge enabled fast-adaptive optimization for advanced machining systems.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
2023
Partial Consistency for Stabilizing Undiscounted Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., December, 2023
A compatible detector based on improved YOLOv5 for hydropower device detection in AR inspection system.
Expert Syst. Appl., September, 2023
Elite and dynamic opposite learning enhanced sine cosine algorithm for application to plat-fin heat exchangers design problem.
Neural Comput. Appl., June, 2023
Graph-based deep learning model for knowledge base completion in constraint management of construction projects.
Comput. Aided Civ. Infrastructure Eng., April, 2023
A novel dynamic opposite learning enhanced Jaya optimization method for high efficiency plate-fin heat exchanger design optimization.
Eng. Appl. Artif. Intell., March, 2023
MMFSL: A Novel Multimodal Few-Shot Learning Framework for Fault Diagnosis of Industrial Bearings.
IEEE Trans. Instrum. Meas., 2023
Knowledge graph-enabled adaptive work packaging approach in modular construction.
Knowl. Based Syst., 2023
Imitation Learning of Diverse Expert Behaviors for Advanced Machining System Optimizations.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
An Improved Bare Bone Multi-Objective Particle Swarm Optimization Algorithm for Solving Stochastic Wind-Solar-Small Hydro Power Dispatch Problems.
Proceedings of the 15th International Conference on Machine Learning and Computing, 2023
Fast Counterfactual Inference for History-Based Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Energy-balanced path optimization of UAV-assisted wireless power and information system.
Wirel. Networks, 2022
Distributed Fusion Estimation for Stochastic Uncertain Systems With Network-Induced Complexity and Multiple Noise.
IEEE Trans. Cybern., 2022
Structured Context Enhancement Network for Mouse Pose Estimation.
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IEEE Trans. Circuits Syst. Video Technol., 2022
A Dynamic Opposite Learning-Assisted Grey Wolf Optimizer.
Symmetry, 2022
Multi-system genetic algorithm for complex system optimization.
Soft Comput., 2022
A twofold infill criterion-driven heterogeneous ensemble surrogate-assisted evolutionary algorithm for computationally expensive problems.
Knowl. Based Syst., 2022
Dynamic opposite learning enhanced dragonfly algorithm for solving large-scale flexible job shop scheduling problem.
Knowl. Based Syst., 2022
Improving teaching-learning-based-optimization algorithm by a distance-fitness learning strategy.
Knowl. Based Syst., 2022
An improved teaching-learning-based optimization algorithm with a modified learner phase and a new mutation-restarting phase.
Knowl. Based Syst., 2022
A parallel deep learning algorithm with applications in process monitoring and fault prediction.
Comput. Electr. Eng., 2022
A comprehensive review on deep learning approaches in wind forecasting applications.
CAAI Trans. Intell. Technol., 2022
Primitive-contrastive network: data-efficient self-supervised learning from robot demonstration videos.
Appl. Intell., 2022
Biologically Plausible Variational Policy Gradient with Spiking Recurrent Winner-Take-All Networks.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
Diabetic Retinopathy Diagnosis Using Multichannel Generative Adversarial Network With Semisupervision.
IEEE Trans Autom. Sci. Eng., 2021
An enhanced teaching-learning-based optimization algorithm with self-adaptive and learning operators and its search bias towards origin.
Swarm Evol. Comput., 2021
Corrigendum to "Dynamic opposite learning enhanced teaching-learning-based optimization" [Knowl.-Based Syst. 188 (2020) 104966].
Knowl. Based Syst., 2021
An improved antlion optimizer with dynamic random walk and dynamic opposite learning.
Knowl. Based Syst., 2021
An enhanced differential evolution algorithm with a new oppositional-mutual learning strategy.
Neurocomputing, 2021
Sparrow Search Algorithm for Solving Flexible Jobshop Scheduling Problem.
Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021
2020
Automotive Battery Equalizers Based on Joint Switched-Capacitor and Buck-Boost Converters.
IEEE Trans. Veh. Technol., 2020
Dynamic opposite learning enhanced teaching-learning-based optimization.
Knowl. Based Syst., 2020
Biogeography-based learning particle swarm optimization for combined heat and power economic dispatch problem.
Knowl. Based Syst., 2020
Method to improve convergence performance of iterative learning control systems with bounded noise.
J. Frankl. Inst., 2020
A novel competitive swarm optimized RBF neural network model for short-term solar power generation forecasting.
Neurocomputing, 2020
A novel deep neural network based approach for sparse code multiple access.
Neurocomputing, 2020
A Modified Social Spider Optimization for Economic Dispatch with Valve-Point Effects.
Complex., 2020
Multisystem Optimization for an Integrated Production Scheduling with Resource Saving Problem in Textile Printing and Dyeing.
Complex., 2020
Improving the Performance of Whale Optimization Algorithm through OpenCL-Based FPGA Accelerator.
Complex., 2020
A Sparse Learning Machine for Real-Time SOC Estimation of Li-ion Batteries.
IEEE Access, 2020
Low Carbon Multi-Objective Unit Commitment Integrating Renewable Generations.
IEEE Access, 2020
Coil Design for Wireless Vehicle-to-Vehicle Charging Systems.
IEEE Access, 2020
Design Optimization of Plate-Fin Heat Exchanger Using Sine Cosine Algorithm.
Proceedings of the Neural Computing for Advanced Applications, 2020
Brain Storm Optimization Algorithms: A Brief Review.
Proceedings of the Neural Computing for Advanced Applications, 2020
Adaptability Preserving Domain Decomposition for Stabilizing Sim2Real Reinforcement Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Multi-objective optimization Model for Flexible Job Shop Scheduling Problem Considering Transportation Constraints: A Comparative Study.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
A parallel whale optimization algorithm and its implementation on FPGA.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Multi-population techniques in nature inspired optimization algorithms: A comprehensive survey.
Swarm Evol. Comput., 2019
Bio-Inspired Learning and Adaptation for Optimization and Control of Complex Systems.
Complex., 2019
A novel binary/real-valued pigeon-inspired optimization for economic/environment unit commitment with renewables and plug-in vehicles.
Sci. China Inf. Sci., 2019
Transferable Environment Model With Disentangled Dynamics.
IEEE Access, 2019
A Novel Big Data Platform for City Power Grid Status Estimation.
Proceedings of the Data Mining and Big Data - 4th International Conference, 2019
A novel multi-objective competitive swarm optimization algorithm for multi-modal multi objective problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Recent Bio-inspired Algorithms for Solving Flexible Job Shop Scheduling Problem: A Comparative Study.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2019
A Novel Grey Wolf Optimization Based Combined Feature Selection Method.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2019
A direct inverse hysteresis model and its application in reluctance actuators.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019
2018
Iterative Learning Identification and Compensation of Space-Periodic Disturbance in PMLSM Systems With Time Delay.
IEEE Trans. Ind. Electron., 2018
Compact real-valued teaching-learning based optimization with the applications to neural network training.
Knowl. Based Syst., 2018
Complex Power System Status Monitoring and Evaluation Using Big Data Platform and Machine Learning Algorithms: A Review and a Case Study.
Complex., 2018
A Fast Hybrid Meta-Heuristic Algorithm for Economic/Environment Unit Commitment with Renewables and Plug-In Electric Vehicles.
Proceedings of the Advances in Swarm Intelligence - 9th International Conference, 2018
A Natural Scene Edge Detection Algorithm Based on Image Fusion.
Proceedings of the 2nd International Conference on Video and Image Processing, 2018
Compact Neural Modeling of Single Flow Zinc-Nickel Batteries Based on Jaya Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
A Novel Binary Jaya Optimization for Economic/Emission Unit Commitment.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Residual Blocks PointNet: A novel faster PointNet framework for segmentation and estimated pose.
Proceedings of the 5th IEEE International Conference on Cloud Computing and Intelligence Systems, 2018
Human localization and tracking system based on multiple depth cameras in VR Scene.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2018
Robust control design for the trajectory tracking of a quadrotor.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2018
2017
Biogeography-Based Optimization: A 10-Year Review.
IEEE Trans. Emerg. Top. Comput. Intell., 2017
A novel parallel-series hybrid meta-heuristic method for solving a hybrid unit commitment problem.
Knowl. Based Syst., 2017
A novel hybrid teaching learning based multi-objective particle swarm optimization.
Neurocomputing, 2017
Forecasting the Acquisition of University Spin-Outs: An RBF Neural Network Approach.
Complex., 2017
A Novel SHLNN Based Robust Control and Tracking Method for Hypersonic Vehicle under Parameter Uncertainty.
Complex., 2017
Teaching-Learning-Feedback-Based Optimization.
Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017
Power system transmission line tripping analysis using a big data platform with 3D visualization.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Heuristic Based Terminal Iterative Learning Control of ISBM Reheating Processes.
Proceedings of the Intelligent Computing, Networked Control, and Their Engineering Applications, 2017
Iterative Learning Identification with Bias Compensation for Stochastic Linear Time-Varying Systems.
Proceedings of the Intelligent Computing, Networked Control, and Their Engineering Applications, 2017
Optimal Battery Charging Strategy Based on Complex System Optimization.
Proceedings of the Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration, 2017
Integral Sliding Mode Based Precision Motion Control for PMLM.
Proceedings of the Intelligent Computing, Networked Control, and Their Engineering Applications, 2017
A Novel RBF Neural Model for Single Flow Zinc Nickel Batteries.
Proceedings of the Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration, 2017
2016
Time series wind power forecasting based on variant Gaussian Process and TLBO.
Neurocomputing, 2016
Biogeography-based optimization for identifying promising compounds in chemical process.
Neurocomputing, 2016
A hybrid meta-heuristic method for unit commitment considering flexible charging and discharging of plug-in electric vehicles.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Battery optimal charging strategy based on a coupled thermoelectric model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
An effective PSO-TLBO algorithm for multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Unit commitment considering multiple charging and discharging scenarios of plug-in electric vehicles.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
A New Compact Teaching-Learning-Based Optimization Method.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014
Battery modelling methods for electric vehicles - A review.
Proceedings of the 13th European Control Conference, 2014
Non-convex dynamic economic/environmental dispatch with plug-in electric vehicle loads.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2014
A new self-learning TLBO algorithm for RBF neural modelling of batteries in electric vehicles.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2012
The Design and Simulation of a Two-Layer Network Protocol for Industrial Wireless Monitoring and Control System.
Proceedings of the AsiaSim 2012, 2012