Qingfu Zhang

21

Papers

71

Total Citations

Papers (21)

Multi-Objective Evolution of Heuristic Using Large Language Model

Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems

Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization

Destroy and Repair Using Hyper-Graphs for Routing

Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off

Learning to Insert for Constructive Neural Vehicle Routing Solver

Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples

Smooth Tchebycheff Scalarization for Multi-Objective Optimization

Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model

Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning

Semantic-Embedded Unsupervised Spectral Reconstruction From Single RGB Images in the Wild

MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework

Expected Hypervolume Improvement Is a Particular Hypervolume Improvement

Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits

Multiobjective Lipschitz Bandits under Lexicographic Ordering

Learning Multi-Task Sparse Representation Based on Fisher Information

Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits

Pareto Set Learning for Expensive Multi-Objective Optimization

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework

Hypervolume Maximization: A Geometric View of Pareto Set Learning