Xingchen Wan
Xingchen Wan
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BOiLS: Bayesian Optimisation for Logic Synthesis
Design, Automation and Test in Europe (DATE), 2022
Antoine Grosnit
,
Cedric Malherbe
,
Rasul Tutunov
,
Xingchen Wan
,
Jun Wang
,
Haitham Bou Ammar
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Approximate Neural Architecture Search via Operation Distribution Learning
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022
Xingchen Wan
,
Binxin Ru
,
Pedro M. Esperança
,
Fabio M. Carlucci
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Adversarial Attacks on Graph Classifiers via Bayesian Optimisation
Neural Information Processing Systems (NeurIPS), 2021
Xingchen Wan
,
Henry Kenlay
,
Binxin Ru
,
Arno Blaas
,
Michael Osborne
,
Xiaowen Dong
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OpenReview
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Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces
State-of-the-art Bayesian optimization in high-dimensional and non-continuous spaces (ICML 2021)
Xingchen Wan
,
Vu Nguyen
,
Huong Ha
,
Binxin Ru
,
Cong Lu
,
Michael Osborne
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Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels
Performant and efficient NAS method combining BO and graph kernels (ICLR 2021)
Binxin Ru
,
Xingchen Wan
,
Xiaowen Dong
,
Michael Osborne
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OpenReview
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