Xilu Wang

According to our database, Xilu Wang authored at least 22 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

Jiaxi Li, Lu Yin, Li Shen, Jinjin Xu, Liwu Xu, Tianjin Huang, Wenwu Wang, Shiwei Liu, Xilu Wang

CoRR, August, 2025

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

Jinjin Xu, Xilu Wang, Liwu Xu, Yuzhe Yang, Xiang Li, Fanyi Wang, Yanchun Xie, Yi-Jie Huang, Yaqian Li, Yunfan Hu

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

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

Jiaxi Li, Xilu Wang, Yunfan Hu

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

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

Peng Liao, Xilu Wang, Yaochu Jin, Chaoli Sun, Wenli Du

Proceedings of the IEEE Congress on Evolutionary Computation, 2025

Efficient Federated Bayesian Optimization with Symbolic Regression Model.

Xilu Wang, Kaifeng Yang, Peng Liao, Mengxuan Zhang, Yaochu Jin

Proceedings of the IEEE Congress on Evolutionary Computation, 2025

2024

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

Yaochu Jin, Xilu Wang, Hemant K. Singh, Tinkle Chugh, Alma Rahat

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

Federated Many-Task Bayesian Optimization.

Hangyu Zhu, Xilu Wang, Yaochu Jin

IEEE Trans. Evol. Comput., August, 2024

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

Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer

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

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

Jiaxi Li, Lu Yin, Xilu Wang

CoRR, 2024

Evolutionary Complex-Valued CNN for PolSAR Image Classification.

Mengxuan Zhang, Jingyuan Shi, Long Liu, Xilu Wang, Licheng Jiao

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.

Peng Liao, Xilu Wang, Yaochu Jin, Wenli Du

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Xiangyu Wang, Xilu Wang, Yaochu Jin, Ulrich Rückert

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

Recent Advances in Bayesian Optimization.

Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer

ACM Comput. Surv., 2023

Federated Bayesian Optimization for Privacy-Preserving Neural Architecture Search.

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.

Dan Guo, Xilu Wang, Kailai Gao, Yaochu Jin, Jinliang Ding, Tianyou Chai

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

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

Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer

Evol. Comput., 2022

2021

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

Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer, Richard Allmendinger

Knowl. Based Syst., 2021

2020

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

Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer

Inf. Sci., 2020

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

Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer

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

2019

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

Xilu Wang, Yongjun Sun, Huaxi Gu

IEICE Trans. Inf. Syst., 2019

2018

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

Xilu Wang, Yongjun Sun, Huaxi Gu, Zujun Liu

IEICE Electron. Express, 2018

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

Yongjun Sun, Xilu Wang, Yahuan Chen, Zujun Liu

Expert Syst. Appl., 2018