Wenli Du

According to our database1, Wenli Du authored at least 67 papers between 2005 and 2021.

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



In proceedings 
PhD thesis 


On csauthors.net:


Intelligent Time-Scale Operator-Splitting Integration for Chemical Reaction Systems.
IEEE Trans. Neural Networks Learn. Syst., 2021

FLDNet: Frame-Level Distilling Neural Network for EEG Emotion Recognition.
IEEE J. Biomed. Health Informatics, 2021

A Novel Integrated Approach to Characterization of Petroleum Naphtha Properties From Near-Infrared Spectroscopy.
IEEE Trans. Instrum. Meas., 2021

A Circular Target Feature Detection Framework Based on DCNN for Industrial Applications.
IEEE Trans. Ind. Informatics, 2021

Entropy-based hybrid sampling ensemble learning for imbalanced data.
Int. J. Intell. Syst., 2021

Optical-flow-based framework to boost video object detection performance with object enhancement.
Expert Syst. Appl., 2021

A Federated Data-Driven Evolutionary Algorithm for Expensive Multi/Many-objective Optimization.
CoRR, 2021

A Federated Data-Driven Evolutionary Algorithm.
CoRR, 2021

Steady-state target calculation integrating economic optimization for constrained model predictive control.
Comput. Chem. Eng., 2021

Refinery production planning optimization under crude oil quality uncertainty.
Comput. Chem. Eng., 2021

Bee-foraging learning particle swarm optimization.
Appl. Soft Comput., 2021

Drug-Target Interaction Prediction Based on Multi-Similarity Fusion and Sparse Dual-Graph Regularized Matrix Factorization.
IEEE Access, 2021

Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization.
Proceedings of the Image and Graphics - 11th International Conference, 2021

Secure Communication Based on Quantized Synchronization of Chaotic Neural Networks Under an Event-Triggered Strategy.
IEEE Trans. Neural Networks Learn. Syst., 2020

Near-Infrared Wavelength-Selection Method Based on Joint Mutual Information and Weighted Bootstrap Sampling.
IEEE Trans. Ind. Informatics, 2020

Geometric Structural Ensemble Learning for Imbalanced Problems.
IEEE Trans. Cybern., 2020

Multiple Partial Empirical Kernel Learning with Instance Weighting and Boundary Fitting.
Neural Networks, 2020

Efficient matrixized classification learning with separated solution process.
Neural Comput. Appl., 2020

Multi-matrices entropy discriminant ensemble learning for imbalanced problem.
Neural Comput. Appl., 2020

NearCount: Selecting critical instances based on the cited counts of nearest neighbors.
Knowl. Based Syst., 2020

Entropy and gravitation based dynamic radius nearest neighbor classification for imbalanced problem.
Knowl. Based Syst., 2020

Fireworks explosion based artificial bee colony for numerical optimization.
Knowl. Based Syst., 2020

Multiple Universum Empirical Kernel Learning.
Eng. Appl. Artif. Intell., 2020

Ternary Compression for Communication-Efficient Federated Learning.
CoRR, 2020

Data-driven robust optimization for crude oil blending under uncertainty.
Comput. Chem. Eng., 2020

An Interval Type-2 Fuzzy Controller Based on Data-Driven Parameters Extraction for Cement Calciner Process.
IEEE Access, 2020

Autonomous Control Strategy for Microgrid Operating Modes Smooth Transition.
IEEE Access, 2020

A Fast Multi-Objective Particle Swarm Optimization Algorithm Based on a New Archive Updating Mechanism.
IEEE Access, 2020

Factored Trace Lasso Based Linear Regression Methods: Optimizations and Applications.
Proceedings of the Cognitive Systems and Signal Processing - 5th International Conference, 2020

Distributed State-of-Charge Balance Control With Event-Triggered Signal Transmissions for Multiple Energy Storage Systems in Smart Grid.
IEEE Trans. Syst. Man Cybern. Syst., 2019

High-Dimensional Robust Multi-Objective Optimization for Order Scheduling: A Decision Variable Classification Approach.
IEEE Trans. Ind. Informatics, 2019

Guest Editorial: Special Issue on Computational Intelligence in Data-Driven Optimization.
IEEE Trans. Emerg. Top. Comput. Intell., 2019

Multi-objective differential evolution with dynamic hybrid constraint handling mechanism.
Soft Comput., 2019

自动驾驶场景中增强深度学习的时空特征提取方法 (Spatio-temporal Features Extraction of Traffic Based on Deep Neural Network).
计算机科学, 2019

Tree-based space partition and merging ensemble learning framework for imbalanced problems.
Inf. Sci., 2019

An adaptive decomposition-based evolutionary algorithm for many-objective optimization.
Inf. Sci., 2019

Multiple Empirical Kernel Learning with Majority Projection for imbalanced problems.
Appl. Soft Comput., 2019

Multi-view learning with fisher kernel and bi-bagging for imbalanced problem.
Appl. Intell., 2019

Integration of Regional Demand Management and Signals Control for Urban Traffic Networks.
IEEE Access, 2019

Just-in-time learning for cement free lime prediction with empirical mode decomposition and database monitoring index.
Proceedings of the 12th Asian Control Conference, 2019

Data-Driven Dynamic Modeling of the Acetylene Hydrogenation Process based on Nonlinear Slow Feature Analysis.
Proceedings of the 12th Asian Control Conference, 2019

A Just-in-Time Learning Based Monitoring and Classification Method for Hyper/Hypocalcemia Diagnosis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Genetic mechanism-enhanced standard particle swarm optimization 2011.
Soft Comput., 2018

Teaching-Learning-Based Optimization with Learning Enthusiasm Mechanism and Its Application in Chemical Engineering.
J. Appl. Math., 2018

Detecting the correlation between mobile learning behavior and personal characteristics among elementary school students.
Interact. Learn. Environ., 2018

An Improved Particle Swarm Optimization with Biogeography-Based Learning Strategy for Economic Dispatch Problems.
Complex., 2018

A Two-Level Optimization Framework for Cyclic Scheduling of Ethylene Cracking Furnace System.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Multiagent Systems on Multilayer Networks: Synchronization Analysis and Network Design.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Dual RBFNNs-Based Model-Free Adaptive Control With Aspen HYSYS Simulation.
IEEE Trans. Neural Networks Learn. Syst., 2017

Multimode Process Monitoring and Fault Detection: A Sparse Modeling and Dictionary Learning Method.
IEEE Trans. Ind. Electron., 2017

Biogeography-based learning particle swarm optimization.
Soft Comput., 2017

An online performance monitoring using statistics pattern based kernel independent component analysis for non-Gaussian process.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Three L-SHADE based algorithms on mixed-variables optimization problems.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Biogeography-based optimization with covariance matrix based migration.
Appl. Soft Comput., 2016

Monitoring for Nonlinear Multiple Modes Process Based on LL-SVDD-MRDA.
IEEE Trans Autom. Sci. Eng., 2014

Dynamic Optimization of Industrial Processes With Nonuniform Discretization-Based Control Vector Parameterization.
IEEE Trans Autom. Sci. Eng., 2014

Synchronization analysis of heterogeneous dynamical networks.
Neurocomputing, 2013

Process monitoring with global probability boundary-based on Gaussian mixture model.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

A hybrid method for identifying T-S fuzzy models.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

A hybrid genetic algorithm with the Baldwin effect.
Inf. Sci., 2010

Identification and control of nonlinear systems by a time-delay recurrent neural network.
Neurocomputing, 2009

An Intelligent Hybrid Algorithm for Job-Shop Scheduling Based on Particle Swarm Optimization and Artificial Immune System.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

A Dissimilation Particle Swarm Optimization-Based Elman Network and Applications for Identifying and Controlling Ultrasonic Motors.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

Speed Identification of Ultrasonic Motors Based on Evolutionary Elman Network.
Proceedings of the Third International Conference on Natural Computation, 2007

A Novel Time-Delay Recurrent Neural Network and Application for Identifying and Controlling Nonlinear Systems.
Proceedings of the Third International Conference on Natural Computation, 2007

A Hybrid Algorithm Based on Particle Swarm Optimization and Simulated Annealing for Job Shop Scheduling.
Proceedings of the Third International Conference on Natural Computation, 2007

Optimization of PTA Crystallization Process Based on Fuzzy GMDH Networks and Differential Evolutionary Algorithm.
Proceedings of the Advances in Natural Computation, First International Conference, 2005