Zhile Yang

According to our database1, Zhile Yang authored at least 65 papers between 2012 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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

Distributed Fusion Estimation for Stochastic Uncertain Systems with Network-Induced Complexity and Multiple Noise.
CoRR, 2020

Structured Context Enhancement Network for Mouse Pose Estimation.
CoRR, 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

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

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

A Novel Deep Neural Network Based Approach for Sparse Code Multiple Access.
CoRR, 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


  Loading...