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Xingchen Wan
Xingchen Wan
University of Oxford; Google
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels
B Ru*, X Wan*, X Dong, M Osborne
International Conference on Learning Representations (ICLR) 9, 2021
732021
Sentiment Correlation in Financial News Networks and Associated Market Movements
X Wan*, J Yang*, S Marinov, JP Calliess, S Zohren, X Dong
Scientific Reports 11 (3062), 2021
342021
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces
X Wan, V Nguyen, H Ha, B Ru, C Lu, MA Osborne
International Conference on Machine Learning (ICML) 38, 10663-10674, 2021
242021
Deep Curvature Suite
D Granziol, X Wan, T Garipov
arXiv preprint arXiv:1912.09656, 2019
15*2019
Iterate Averaging in the Quest for Best Test Error
D Granziol, N Baskerville, X Wan, S Albanie, S Roberts
arXiv preprint arXiv:2003.01247, 2020
14*2020
On Redundancy and Diversity in Cell-based Neural Architecture Search
X Wan, B Ru, PM Esperança, Z Li
International Conference on Learning Representations (ICLR) 10, 2022
112022
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation
X Wan, H Kenlay, B Ru, A Blaas, M Osborne, X Dong
Advances in Neural Information Processing Systems (NeurIPS) 34, 2021
9*2021
BOiLS: Bayesian Optimisation for Logic Synthesis
A Grosnit*, C Malherbe*, R Tutunov, X Wan, J Wang, HB Ammar
Design, Automation & Test in Europe Conference (DATE) 25, 2022
82022
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
S Daulton, X Wan, D Eriksson, M Balandat, MA Osborne, E Bakshy
Advances in Neural Information Processing Systems (NeurIPS) 35, 2022
62022
Bayesian Generational Population-Based Training
X Wan, C Lu, J Parker-Holder, PJ Ball, V Nguyen, B Ru, M Osborne
International Conference on Automated Machine Learning (AutoML-Conf) 1, 14/1-27, 2022
62022
AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning
H Zhou*, X Wan*, I Vulić, A Korhonen
arXiv preprint arXiv:2301.12132, 2023
4*2023
Approximate Neural Architecture Search via Operation Distribution Learning
X Wan, B Ru, PM Esperança, FM Carlucci
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2377-2386, 2022
42022
Explaining the Adaptive Generalisation Gap
D Granziol, N Baskerville, X Wan, S Albanie, S Roberts
arXiv preprint arXiv:2011.08181, 2020
32020
Better Zero-Shot Reasoning with Self-Adaptive Prompting
X Wan, R Sun, H Dai, SO Arik, T Pfister
Findings of the Association for Computational Linguistics (ACL) 61, 2023
12023
Universal Self-Adaptive Prompting
X Wan, R Sun, H Nakhost, H Dai, JM Eisenschlos, SO Arik, T Pfister
arXiv preprint arXiv:2305.14926, 2023
2023
SimSC: A Simple Framework for Semantic Correspondence with Temperature Learning
X Li, K Han, X Wan, VA Prisacariu
arXiv preprint arXiv:2305.02385, 2023
2023
Bayesian Quadrature for Neural Ensemble Search
S Hamid, X Wan, M Jørgensen, B Ru, M Osborne
arXiv preprint arXiv:2303.08874, 2023
2023
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