Qingfu Zhang

papers

587

total citations

papers (21)

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

ICML 2024arXiv

196

citations

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

NEURIPS 2023arXiv

150

citations

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

ICCV 2021arXiv

citations

Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems

ICLR 2025

citations

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

ICLR 2025arXiv

citations

Destroy and Repair Using Hyper-Graphs for Routing

AAAI 2025arXiv

citations

Multiobjective Lipschitz Bandits under Lexicographic Ordering

AAAI 2024

citations

Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples

ICML 2024arXiv

citations

Learning to Insert for Constructive Neural Vehicle Routing Solver

NEURIPS 2025arXiv

citations

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

AAAI 2025arXiv

citations

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

ICML 2024

citations

Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits

AAAI 2024

citations

Expected Hypervolume Improvement Is a Particular Hypervolume Improvement

AAAI 2025

citations

Hypervolume Maximization: A Geometric View of Pareto Set Learning

NEURIPS 2023

citations

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

CVPR 2025arXiv

citations

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

AAAI 2025

citations

Learning Multi-Task Sparse Representation Based on Fisher Information

AAAI 2024

citations

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

NEURIPS 2023

citations

Qingfu Zhang

papers (21)

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

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

Pareto Set Learning for Expensive Multi-Objective Optimization

Multi-Objective Evolution of Heuristic Using Large Language Model

Smooth Tchebycheff Scalarization for Multi-Objective Optimization

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

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

Multiobjective Lipschitz Bandits under Lexicographic Ordering

Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples

Learning to Insert for Constructive Neural Vehicle Routing Solver

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

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

Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits

Expected Hypervolume Improvement Is a Particular Hypervolume Improvement

Hypervolume Maximization: A Geometric View of Pareto Set Learning

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

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

Learning Multi-Task Sparse Representation Based on Fisher Information

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

papers (21)

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

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

Pareto Set Learning for Expensive Multi-Objective Optimization

Multi-Objective Evolution of Heuristic Using Large Language Model

Smooth Tchebycheff Scalarization for Multi-Objective Optimization

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

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

Multiobjective Lipschitz Bandits under Lexicographic Ordering

Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples

Learning to Insert for Constructive Neural Vehicle Routing Solver

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

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

Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits

Expected Hypervolume Improvement Is a Particular Hypervolume Improvement

Hypervolume Maximization: A Geometric View of Pareto Set Learning

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

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

Learning Multi-Task Sparse Representation Based on Fisher Information

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