12 citations · 20 across the 4 of their papers we have counts for
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cs.LG2019★ 1 cited
Efficient Novelty-Driven Neural Architecture Search
Miao Zhang, Huiqi Li, Shirui Pan +2
One-Shot Neural architecture search (NAS) attracts broad attention recently due to its capacity to reduce the computational hours through weight sharing. However, extensive experim…
cs.LG2019★ 7 cited
High Dimensional Bayesian Optimization via Supervised Dimension Reduction
Miao Zhang, Huiqi Li, Steven Su
Bayesian optimization (BO) has been broadly applied to computational expensive problems, but it is still challenging to extend BO to high dimensions. Existing works are usually und…
cs.LG2019★ 12 cited
Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimization
Miao Zhang, Huiqi Li, Juan Lyu +2
This paper investigates lung nodule classification by using deep neural networks (DNNs). Hyperparameter optimization in DNNs is a computationally expensive problem, where evaluatin…