Area of research
Artificial Intelligence · Computational Theory and Mathematics
Research interest
Research interests include Advanced Multi-Objective Optimization Algorithms, Metaheuristic Optimization Algorithms Research, Evolutionary Algorithms and Applications, and Optimal Experimental Design Methods.
A Systematic Survey on Large Language Models for Algorithm Design
PMGDA: A Preference-Based Multiple Gradient Descent Algorithm
Leader–Follower Disagreement Minimization in Social Networks
Instance-Conditioned Adaptation for Large-Scale Generalization of Neural Routing Solver
Mining Association Patterns From Neighborhood Insight
A neighborhood-based momentum approach to accelerate convergence in multi-objective optimization
Adapting MOEA/D to CMA-ES for Dealing with Ill-Conditioned Multiobjective Problems
Surrogate Model-Assisted Optimization for Ultrawideband Bidirectional Absorptive Common-Mode Filter Design
EvolCAF: Automatic Cost-Aware Acquisition Function Design Using Large Language Models
A Permutation-Invariant and Variable-Dimension Data-Driven Evolutionary Algorithm for Indoor Antenna Layout Optimization
Multi-Objective Kernel Ridge Regression-Assisted Subproblem Co-Optimization for Expensive Multi-Objective Binary Optimization
Top-K-Aware Set Optimization for Component-Sharing Multiobjective Optimization
CAN: A Curvature-Aware Nesterov Optimizer for Fast Elastic Simulation With Topological Changes
Commonality Feature Representation Learning for Unsupervised Multimodal Change Detection
A Bi-Learning Evolutionary Algorithm for Transportation-Constrained and Distributed Energy-Efficient Flexible Scheduling
Trajectory Planning for UAV Swarm Tracking Moving Target Based on an Improved Model Predictive Control Fusion Algorithm
Large Language Model for Multiobjective Evolutionary Optimization
RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
Machine Learning-Assisted Multiobjective Evolutionary Algorithm for Routing and Packing
Adaptive Multi/Many-Objective Transformation for Constrained Optimization
Community Opinion Maximization in Social Networks
Solving Multiobjective Combinatorial Optimization via Learning to Improve Method
Micro Many-Objective Evolutionary Algorithm With Knowledge Transfer
Dealing With Structure Constraints in Evolutionary Pareto Set Learning
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume
Inhibition of CDK5 signaling mediated inflammation in macrophages promotes cutaneous wound healing
Efficient Greedy Decremental Hypervolume Subset Selection Using Space Partition Tree
Rethinking Supervised Learning-Based Neural Combinatorial Optimization for Routing Problem
Parametric Pareto Set Learning: Amortizing Multi-Objective Optimization With Parameters