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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j19]Hangyu Zhu, Xilu Wang
, Yaochu Jin:
Federated Many-Task Bayesian Optimization. IEEE Trans. Evol. Comput. 28(4): 980-993 (2024)- [j18]Yaochu Jin, Xilu Wang, Hemant K. Singh, Tinkle Chugh, Alma Rahat:
Introduction to the Special Issue on Data-Driven Evolutionary Computation. ACM Trans. Evol. Learn. Optim. 4(4): 19:1-19:2 (2024) - [j17]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Alleviating Search Bias in Bayesian Evolutionary Optimization With Many Heterogeneous Objectives. IEEE Trans. Syst. Man Cybern. Syst. 54(1): 143-155 (2024) - [c5]Xiangyu Wang, Xilu Wang, Yaochu Jin, Ulrich Rückert:
A Graph Neural Network Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization. CEC 2024: 1-8 - [c4]Peng Liao, Xilu Wang, Yaochu Jin, Wenli Du:
MO-EMT-NAS: Multi-objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets. ECCV (70) 2024: 18-35 - [c3]Mengxuan Zhang, Jingyuan Shi, Long Liu, Xilu Wang, Licheng Jiao:
Evolutionary Complex-Valued CNN for PolSAR Image Classification. IJCNN 2024: 1-8 - [i5]Jiaxi Li, Lu Yin, Xilu Wang:
OWLed: Outlier-weighed Layerwise Pruning for Efficient Autonomous Driving Framework. CoRR abs/2411.07711 (2024) - 2023
- [j16]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Recent Advances in Bayesian Optimization. ACM Comput. Surv. 55(13s): 287:1-287:36 (2023) - [c2]Shiqing Liu, Xilu Wang, Yaochu Jin:
Federated Bayesian Optimization for Privacy-Preserving Neural Architecture Search. CEC 2023: 1-8 - 2022
- [j15]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Transfer Learning Based Co-Surrogate Assisted Evolutionary Bi-Objective Optimization for Objectives with Non-Uniform Evaluation Times. Evol. Comput. 30(2): 221-251 (2022) - [j14]Xilu Wang, Xiaoliang Cheng:
Numerical analysis of a dynamic viscoplastic contact problem. Int. J. Comput. Math. 99(6): 1178-1200 (2022) - [j13]Dan Guo, Xilu Wang, Kailai Gao, Yaochu Jin, Jinliang Ding, Tianyou Chai:
Evolutionary Optimization of High-Dimensional Multiobjective and Many-Objective Expensive Problems Assisted by a Dropout Neural Network. IEEE Trans. Syst. Man Cybern. Syst. 52(4): 2084-2097 (2022) - [i4]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Recent Advances in Bayesian Optimization. CoRR abs/2206.03301 (2022) - [i3]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Alleviating Search Bias in Bayesian Evolutionary Optimization with Many Heterogeneous Objectives. CoRR abs/2208.12217 (2022) - 2021
- [j12]Xiaoliang Cheng, Qinghua Ran, Xilu Wang, Qichang Xiao:
Numerical analysis for a new kind of obstacle problem. Commun. Nonlinear Sci. Numer. Simul. 99: 105810 (2021) - [j11]Xilu Wang, Xiaoliang Cheng:
Numerical analysis of a viscoplastic contact problem with normal compliance, unilateral constraint, memory term and friction. J. Comput. Appl. Math. 397: 113646 (2021) - [j10]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer, Richard Allmendinger:
Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times. Knowl. Based Syst. 227: 107190 (2021) - [i2]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Transfer Learning Based Co-surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Non-uniform Evaluation Times. CoRR abs/2108.13339 (2021) - 2020
- [j9]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization. Inf. Sci. 519: 317-331 (2020) - [c1]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times. GECCO 2020: 587-594 - [i1]Xilu Wang:
Learning pose variations within shape population by constrained mixtures of factor analyzers. CoRR abs/2006.04171 (2020)
2010 – 2019
- 2019
- [j8]Xilu Wang, Yongjun Sun, Huaxi Gu:
BMM: A Binary Metaheuristic Mapping Algorithm for Mesh-Based Network-on-Chip. IEICE Trans. Inf. Syst. 102-D(3): 628-631 (2019) - 2018
- [j7]Xilu Wang, Xiaoping Qian:
Total variance based feature point selection and applications. Comput. Aided Des. 101: 37-56 (2018) - [j6]Yongjun Sun, Xilu Wang, Yahuan Chen, Zujun Liu:
A modified whale optimization algorithm for large-scale global optimization problems. Expert Syst. Appl. 114: 563-577 (2018) - [j5]Xilu Wang, Yongjun Sun, Huaxi Gu, Zujun Liu:
WOAGA: A new metaheuristic mapping algorithm for large-scale mesh-based NoC. IEICE Electron. Express 15(17): 20180738 (2018) - 2017
- [j4]Anda Xiong, Julien Clinton Sprott, Jingxuan Lyu, Xilu Wang:
3D Printing - The Basins of Tristability in the Lorenz System. Int. J. Bifurc. Chaos 27(8): 1750128:1-1750128:5 (2017) - 2016
- [j3]Xilu Wang, Xiaoping Qian:
A statistical atlas based approach to automated subject-specific FE modeling. Comput. Aided Des. 70: 67-77 (2016) - 2014
- [j2]Xilu Wang, Xiaoping Qian:
An optimization approach for constructing trivariate B-spline solids. Comput. Aided Des. 46: 179-191 (2014)
1990 – 1999
- 1999
- [j1]Enmin Feng, Xilu Wang, Xiumei Wang, Hongfei Teng:
An algorithm of global optimization for solving layout problems. Eur. J. Oper. Res. 114(2): 430-436 (1999)
Coauthor Index
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