Binxin Ru

Binxin Ru

University of Oxford

H-index: 13

Europe-United Kingdom

About Binxin Ru

Binxin Ru, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Machine Learning, AutoML, Bayesian Optimisation, Neural Architecture Search, Adversarial Attacks.

His recent articles reflect a diverse array of research interests and contributions to the field:

Construction of hierarchical neural architecture search spaces based on context-free grammars

Bayesian Optimisation of Functions on Graphs

Large model emulation by knowledge distillation based nas

Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS “Cold-Start”

Bayesian Quadrature for Neural Ensemble Search

Neural architecture search: Insights from 1000 papers

Towards discovering neural architectures from scratch

Bayesian generational population-based training

Binxin Ru Information

University

Position

DPhil Student

Citations(all)

715

Citations(since 2020)

705

Cited By

97

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

15

i10Index(since 2020)

15

Email

University Profile Page

Google Scholar

Binxin Ru Skills & Research Interests

Machine Learning

AutoML

Bayesian Optimisation

Neural Architecture Search

Adversarial Attacks

Top articles of Binxin Ru

Construction of hierarchical neural architecture search spaces based on context-free grammars

Advances in Neural Information Processing Systems

2024/2/13

Bayesian Optimisation of Functions on Graphs

Advances in Neural Information Processing Systems

2024/2/13

Large model emulation by knowledge distillation based nas

2023/7/27

Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS “Cold-Start”

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

Bayesian Quadrature for Neural Ensemble Search

arXiv preprint arXiv:2303.08874

2023/3/15

Neural architecture search: Insights from 1000 papers

arXiv preprint arXiv:2301.08727

2023/1/20

Towards discovering neural architectures from scratch

2022/9/29

Bayesian generational population-based training

2022/9/19

Learning to identify top elo ratings: A dueling bandits approach

Proceedings of the AAAI Conference on Artificial Intelligence

2022/6/28

Maximum Entropy Approach to Massive Graph Spectrum Learning with Applications

Algorithms

2022/6/15

On redundancy and diversity in cell-based neural architecture search

arXiv preprint arXiv:2203.08887

2022/3/16

Xingchen Wan
Xingchen Wan

H-Index: 2

Binxin Ru
Binxin Ru

H-Index: 6

Approximate neural architecture search via operation distribution learning

2022

Xingchen Wan
Xingchen Wan

H-Index: 2

Binxin Ru
Binxin Ru

H-Index: 6

DARTS without a validation set: Optimizing the marginal likelihood

arXiv preprint arXiv:2112.13023

2021/12/24

Adversarial attacks on graph classifiers via bayesian optimisation

Advances in Neural Information Processing Systems

2021/12/6

How powerful are performance predictors in neural architecture search?

Advances in Neural Information Processing Systems

2021/12/6

AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family

arXiv preprint arXiv:2111.03555

2021/11/5

Binxin Ru
Binxin Ru

H-Index: 6

Dha: End-to-end joint optimization of data augmentation policy, hyper-parameter and architecture

Transactions on Machine Learning Research

2022/10/21

Attacking Graph Classification via Bayesian Optimisation

2021/6/18

Think global and act local: Bayesian optimisation over high-dimensional categorical and mixed search spaces

International Conference on Machine Learning (ICML)

2021/12/14

Speedy Performance Estimation for Neural Architecture Search

Advances in Neural Information Processing Systems, 2021

2021

See List of Professors in Binxin Ru University(University of Oxford)

Co-Authors

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