84 citations · 99 across the 6 of their papers we have counts for
6 papers
Efficient Online Decision Tree Learning with Active Feature Acquisition
Arman Rahbar, Ziyu Ye, Yuxin Chen +1
Constructing decision trees online is a classical machine learning problem. Existing works often assume that features are readily available for each incoming data point. However, i…
Towards provably efficient quantum algorithms for large-scale machine-learning models
Junyu Liu, Minzhao Liu, Jin-Peng Liu +5
Large machine learning models are revolutionary technologies of artificial intelligence whose bottlenecks include huge computational expenses, power, and time used both in the pre-…
Deep Auto-encoder with Neural Response
Xuming Ran, Jie Zhang, Ziyuan Ye +4
Artificial neural network (ANN) is a versatile tool to study the neural representation in the ventral visual stream, and the knowledge in neuroscience in return inspires ANN models…
Understanding the Effect of Bias in Deep Anomaly Detection
Ziyu Ye, Yuxin Chen, Haitao Zheng
Anomaly detection presents a unique challenge in machine learning, due to the scarcity of labeled anomaly data. Recent work attempts to mitigate such problems by augmenting trainin…
A Neural Network Detector for Spectrum Sensing under Uncertainties
Ziyu Ye, Qihang Peng, Kelly Levick +4
Spectrum sensing is of critical importance in any cognitive radio system. When the primary user's signal has uncertain parameters, the likelihood ratio test, which is the theoretic…
Comparison of Neural Network Architectures for Spectrum Sensing
Ziyu Ye, Andrew Gilman, Qihang Peng +3
Different neural network (NN) architectures have different advantages. Convolutional neural networks (CNNs) achieved enormous success in computer vision, while recurrent neural net…