Xilu Wang

Orcid: 0000-0002-0926-4454

Affiliations:

University of Surrey, School of Computer Science and Electronic Engineering, Guildford, UK
Bielefeld University, Faculty of Technology, Bielefeld, Germany (former)

According to our database¹, Xilu Wang authored at least 34 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

ELAS: Efficient Pre-Training of Low-Rank Large Language Models via 2:4 Activation Sparsity.

[BibT_eX]

[DOI]

CoRR, May, 2026

A Large-Scale Expensive Optimization Algorithm With a Multiview Synthetic Sampling.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., April, 2026

Evolutionary Channel Pruning for Style-Based Generative Adversarial Networks.

[BibT_eX]

[DOI]

Int. J. Neural Syst., February, 2026

FBCCNet: a Bayesian perspective of federated learning with crowdsourced annotations on client side.

[BibT_eX]

[DOI]

Hangyu Zhu

Xilu Wang

Yaochu Jin

Complex Intell. Syst., 2026

Automatic design of federated PolSAR image classification network via evolutionary neural architecture search.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2026

2025

DP-FSAEA: Differential Privacy for Federated Surrogate-Assisted Evolutionary Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., December, 2025

Distilling Ensemble Surrogates for Federated Data-Driven Many-Task Optimization.

[BibT_eX]

[DOI]

Xilu Wang

Yaochu Jin

IEEE Trans. Evol. Comput., December, 2025

Efficient Large-Scale Expensive Optimization via Surrogate-Assisted Subproblem Selection.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., October, 2025

LOST: Low-rank and Sparse Pre-training for Large Language Models.

[BibT_eX]

[DOI]

CoRR, August, 2025

Surrogate-assisted large-scale expensive optimization enhanced by local exploitation.

[BibT_eX]

[DOI]

Complex Intell. Syst., 2025

Towards fairness-aware multi-objective optimization.

[BibT_eX]

[DOI]

Complex Intell. Syst., 2025

Reproducibility Companion Paper: u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model.

[BibT_eX]

[DOI]

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Reproducibility Companion Paper: Learning Differentiable Particle Filter on the Fly.

[BibT_eX]

[DOI]

Jiaxi Li

Xilu Wang

Yunfan Hu

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

CLIP Brings Better Features to Visual Aesthetics Learners.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Neural Architecture Search Driven by Locally Guided Diffusion for Personalized Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Surrogate-Assisted Evolutionary Neural Architecture Search with Architecture Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2025

Efficient Federated Bayesian Optimization with Symbolic Regression Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2025

2024

Introduction to the Special Issue on Data-Driven Evolutionary Computation.

[BibT_eX]

[DOI]

ACM Trans. Evol. Learn. Optim., December, 2024

Federated Many-Task Bayesian Optimization.

[BibT_eX]

[DOI]

Hangyu Zhu

Xilu Wang

Yaochu Jin

IEEE Trans. Evol. Comput., August, 2024

Alleviating Search Bias in Bayesian Evolutionary Optimization With Many Heterogeneous Objectives.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., January, 2024

OWLed: Outlier-weighed Layerwise Pruning for Efficient Autonomous Driving Framework.

[BibT_eX]

[DOI]

Jiaxi Li

Lu Yin

Xilu Wang

CoRR, 2024

Evolutionary Complex-Valued CNN for PolSAR Image Classification.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

MO-EMT-NAS: Multi-objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

A Graph Neural Network Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

Recent Advances in Bayesian Optimization.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2023

Federated Bayesian Optimization for Privacy-Preserving Neural Architecture Search.

[BibT_eX]

[DOI]

Shiqing Liu

Xilu Wang

Yaochu Jin

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022

Evolutionary Optimization of High-Dimensional Multiobjective and Many-Objective Expensive Problems Assisted by a Dropout Neural Network.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2022

Transfer Learning Based Co-Surrogate Assisted Evolutionary Bi-Objective Optimization for Objectives with Non-Uniform Evaluation Times.

[BibT_eX]

[DOI]

Evol. Comput., 2022

2021

Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

2020

An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times.

[BibT_eX]

[DOI]

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

BMM: A Binary Metaheuristic Mapping Algorithm for Mesh-Based Network-on-Chip.

[BibT_eX]

[DOI]

Xilu Wang

Yongjun Sun

Huaxi Gu

IEICE Trans. Inf. Syst., 2019

2018

WOAGA: A new metaheuristic mapping algorithm for large-scale mesh-based NoC.

[BibT_eX]

[DOI]

IEICE Electron. Express, 2018

A modified whale optimization algorithm for large-scale global optimization problems.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2018

Xilu Wang

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