Search Results for author: Jiaxu Cui

Found 5 papers, 4 papers with code

Learning Continuous Network Emerging Dynamics from Scarce Observations via Data-Adaptive Stochastic Processes

1 code implementation25 Oct 2023 Jiaxu Cui, Bingyi Sun, Jiming Liu, Bo Yang

Learning network dynamics from the empirical structure and spatio-temporal observation data is crucial to revealing the interaction mechanisms of complex networks in a wide range of domains.

Computational Efficiency

Deep Bayesian Optimization on Attributed Graphs

3 code implementations31 May 2019 Jiaxu Cui, Bo Yang, Xia Hu

Attributed graphs, which contain rich contextual features beyond just network structure, are ubiquitous and have been observed to benefit various network analytics applications.

Bayesian Optimization Gaussian Processes

Deep Neural Architecture Search with Deep Graph Bayesian Optimization

2 code implementations14 May 2019 Lizheng Ma, Jiaxu Cui, Bo Yang

Based on the new surrogate, we then develop a graph Bayesian optimization framework to address the challenging task of deep neural architecture search.

Bayesian Optimization Gaussian Processes +1

Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification Tasks

1 code implementation6 May 2019 Chunxu Zhang, Jiaxu Cui, Bo Yang

Although we can benefit a lot from DA, designing appropriate DA policies requires a lot of expert experience and time consumption, and the evaluation of searching the optimal policies is costly.

Bayesian Optimization General Classification +5

Graph Bayesian Optimization: Algorithms, Evaluations and Applications

no code implementations3 May 2018 Jiaxu Cui, Bo Yang

Network structure optimization is a fundamental task in complex network analysis.

Bayesian Optimization

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