Area of research
Artificial Intelligence · Computational Theory and Mathematics
Research interest
Research interests include Computer science, Artificial intelligence, Evolutionary algorithm, Spiking neural network, Multi-objective optimization, and Mathematical optimization.
Efficient and robust temporal processing with neural oscillations modulated spiking neural networks
Traffic Signal Timing Optimization: From Evolution to Adaptation
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling
A Hybrid Neural Coding Approach for Pattern Recognition With Spiking Neural Networks
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks
Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural Networks
A two-phase framework of locating the reference point for decomposition-based constrained multi-objective evolutionary algorithms
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition
A Mixture-of-Experts Prediction Framework for Evolutionary Dynamic Multiobjective Optimization
A Cost-Sensitive Deep Belief Network for Imbalanced Classification
A Spiking Neural Network Framework for Robust Sound Classification
Spike Timing or Rate? Neurons Learn to Make Decisions for Both Through Threshold-Driven Plasticity
A Generic Deep-Learning-Based Approach for Automated Surface Inspection
A New Differential Evolution Algorithm for Minimax Optimization in Robust Design
Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics
Multiobjective Multifactorial Optimization in Evolutionary Multitasking
Evolutionary Cluster-Based Synthetic Oversampling Ensemble (ECO-Ensemble) for Imbalance Learning
Surrogate-Assisted Genetic Programming With Simplified Models for Automated Design of Dispatching Rules
Solving Multiobjective Optimization Problems in Unknown Dynamic Environments: An Inverse Modeling Approach
A Benchmark Test Suite for Dynamic Evolutionary Multiobjective Optimization
How the Brain Formulates Memory: A Spatio-Temporal Model Research Frontier
Multiple Exponential Recombination for Differential Evolution
Training cost-sensitive Deep Belief Networks on imbalance data problems
Evolutionary Dynamic Multiobjective Optimization Via Kalman Filter Prediction
Adaptive Cross-Generation Differential Evolution Operators for Multiobjective Optimization
A Spiking Neural Network System for Robust Sequence Recognition
Multimodal Degradation Prognostics Based on Switching Kalman Filter Ensemble
IEEE Transactions on Evolutionary Computation publication information
IEEE Transactions on Evolutionary Computation publication information
IEEE Transactions on Evolutionary Computation publication information