Area of research
Artificial Intelligence · Computational Theory and Mathematics
Research interest
Research interests include Metaheuristic Optimization Algorithms Research, Advanced Multi-Objective Optimization Algorithms, Evolutionary Algorithms and Applications, and Stochastic Gradient Optimization Techniques.
A sinomenine derivative alleviates bone destruction in collagen-induced arthritis mice by suppressing mitochondrial dysfunction and oxidative stress via the NRF2/HO-1/NQO1 signaling pathway
Transformer-Based Intelligent Prediction Model for Multimodal Multi-Objective Optimization
Data-Driven Evolutionary Algorithm Based on Inductive Graph Neural Networks for Multimodal Multiobjective Optimization
A Decentralized Federated Learning Framework via Committee Mechanism With Convergence Guarantee
Kernelized multi-view subspace clustering via auto-weighted graph learning
Constrained Multiobjective Optimization: Test Problem Construction and Performance Evaluations
Joint representation learning for multi-view subspace clustering
Learning Task Relationships in Evolutionary Multitasking for Multiobjective Continuous Optimization
One-step Kernel Multi-view Subspace Clustering
Evolutionary Many-Objective Optimization Based on Dynamical Decomposition