Xilu Wang

35 papers A 2B 7Journal 25Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Large-Scale Expensive Optimization Algorithm With a Multiview Synthetic Sampling.
IEEE Trans. Evol. Comput.
Kaili Zhao, Xilu Wang, Chaoli Sun, Yaochu Jin
2026 J jnl
Evolutionary Channel Pruning for Style-Based Generative Adversarial Networks.
Int. J. Neural Syst.
Yixia Zhang, Ferrante Neri, Xilu Wang, Pengcheng Jiang, Yu Xue
2026 J jnl
FBCCNet: a Bayesian perspective of federated learning with crowdsourced annotations on client side.
Complex Intell. Syst.
Hangyu Zhu, Xilu Wang, Yaochu Jin
2025 A conf
CLIP Brings Better Features to Visual Aesthetics Learners.
ICME
Liwu Xu, Jinjin Xu, Yuzhe Yang, Xilu Wang, Yi-Jie Huang, Yaqian Li
2025 J jnl
DP-FSAEA: Differential Privacy for Federated Surrogate-Assisted Evolutionary Algorithms.
IEEE Trans. Evol. Comput.
Yuping Yan, Xilu Wang, Péter Ligeti, Yaochu Jin
2025 J jnl
Distilling Ensemble Surrogates for Federated Data-Driven Many-Task Optimization.
IEEE Trans. Evol. Comput.
Xilu Wang, Yaochu Jin
2025 B conf
Efficient Federated Bayesian Optimization with Symbolic Regression Model.
CEC
Xilu Wang, Kaifeng Yang, Peng Liao, Mengxuan Zhang, Yaochu Jin
2025 J jnl
Efficient Large-Scale Expensive Optimization via Surrogate-Assisted Subproblem Selection.
IEEE Trans. Evol. Comput.
Kaili Zhao, Xilu Wang, Chaoli Sun, Yaochu Jin, Asad Hayat
2025 J jnl
LOST: Low-rank and Sparse Pre-training for Large Language Models.
CoRR
Jiaxi Li, Lu Yin, Li Shen, Jinjin Xu, Liwu Xu, Tianjin Huang, Wenwu Wang, Shiwei Liu, Xilu Wang
2025 B conf
Reproducibility Companion Paper: Learning Differentiable Particle Filter on the Fly.
ICMR
Jiaxi Li, Xilu Wang, Yunfan Hu
2025 B conf
Reproducibility Companion Paper: u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model.
ICMR
Jinjin Xu, Xilu Wang, Liwu Xu, Yuzhe Yang, Xiang Li, Fanyi Wang, Yanchun Xie, Yi-Jie Huang, Yaqian Li, Yunfan Hu
2025 B conf
Surrogate-Assisted Evolutionary Neural Architecture Search with Architecture Knowledge Transfer.
CEC
Peng Liao, Xilu Wang, Yaochu Jin, Chaoli Sun, Wenli Du
2025 J jnl
Surrogate-assisted large-scale expensive optimization enhanced by local exploitation.
Complex Intell. Syst.
Kaili Zhao, Xilu Wang, Chaoli Sun, Wazir Zada Khan
2025 J jnl
Towards fairness-aware multi-objective optimization.
Complex Intell. Syst.
Guo Yu, Lianbo Ma, Xilu Wang, Wei Du, Wenli Du, Yaochu Jin
2024 B conf
A Graph Neural Network Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization.
CEC
Xiangyu Wang, Xilu Wang, Yaochu Jin, Ulrich Rückert
2024 J jnl
Alleviating Search Bias in Bayesian Evolutionary Optimization With Many Heterogeneous Objectives.
IEEE Trans. Syst. Man Cybern. Syst.
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2024 B conf
Evolutionary Complex-Valued CNN for PolSAR Image Classification.
IJCNN
Mengxuan Zhang, Jingyuan Shi, Long Liu, Xilu Wang, Licheng Jiao
2024 J jnl
Federated Many-Task Bayesian Optimization.
IEEE Trans. Evol. Comput.
Hangyu Zhu, Xilu Wang, Yaochu Jin
2024 J jnl
Introduction to the Special Issue on Data-Driven Evolutionary Computation.
ACM Trans. Evol. Learn. Optim.
Yaochu Jin, Xilu Wang, Hemant K. Singh, Tinkle Chugh, Alma Rahat
2024 J jnl
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets.
CoRR
Peng Liao, Xilu Wang, Yaochu Jin, Wenli Du
2024 — conf
MO-EMT-NAS: Multi-objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets.
ECCV (70)
Peng Liao, Xilu Wang, Yaochu Jin, Wenli Du
2024 J jnl
OWLed: Outlier-weighed Layerwise Pruning for Efficient Autonomous Driving Framework.
CoRR
Jiaxi Li, Lu Yin, Xilu Wang
2023 B conf
Federated Bayesian Optimization for Privacy-Preserving Neural Architecture Search.
CEC
Shiqing Liu, Xilu Wang, Yaochu Jin
2023 J jnl
Recent Advances in Bayesian Optimization.
ACM Comput. Surv.
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2022 J jnl
Alleviating Search Bias in Bayesian Evolutionary Optimization with Many Heterogeneous Objectives.
CoRR
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2022 J jnl
Evolutionary Optimization of High-Dimensional Multiobjective and Many-Objective Expensive Problems Assisted by a Dropout Neural Network.
IEEE Trans. Syst. Man Cybern. Syst.
Dan Guo, Xilu Wang, Kailai Gao, Yaochu Jin, Jinliang Ding, Tianyou Chai
2022 J jnl
Recent Advances in Bayesian Optimization.
CoRR
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2022 J jnl
Transfer Learning Based Co-Surrogate Assisted Evolutionary Bi-Objective Optimization for Objectives with Non-Uniform Evaluation Times.
Evol. Comput.
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2021 J jnl
Transfer Learning Based Co-surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Non-uniform Evaluation Times.
CoRR
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2021 J jnl
Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times.
Knowl. Based Syst.
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer, Richard Allmendinger
2020 J jnl
An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization.
Inf. Sci.
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2020 A conf
Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times.
GECCO
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2019 J jnl
BMM: A Binary Metaheuristic Mapping Algorithm for Mesh-Based Network-on-Chip.
IEICE Trans. Inf. Syst.
Xilu Wang, Yongjun Sun, Huaxi Gu
2018 J jnl
A modified whale optimization algorithm for large-scale global optimization problems.
Expert Syst. Appl.
Yongjun Sun, Xilu Wang, Yahuan Chen, Zujun Liu
2018 J jnl
WOAGA: A new metaheuristic mapping algorithm for large-scale mesh-based NoC.
IEICE Electron. Express
Xilu Wang, Yongjun Sun, Huaxi Gu, Zujun Liu