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Ying Li
Researcher at Xidian University
Publications - 4
Citations - 48
Ying Li is an academic researcher from Xidian University. The author has contributed to research in topics: Deep learning & Feature learning. The author has an hindex of 3, co-authored 3 publications receiving 25 citations.
Papers
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Journal ArticleDOI
Convolutional neural network learning for generic data classification
TL;DR: This paper proposes to enable CNN for learning from generic data to improve classification accuracy, and proposes to convert each instance of the original dataset into a synthetic matrix/image format.
Journal ArticleDOI
Dynamic Index Construction with Deep Reinforcement Learning
TL;DR: The Neural Index Search (NIS) framework as mentioned in this paper uses reinforcement learning to find a near optimal combination plan over existing index structures, together with the required configuration parameters associated with each index structure in the plan.
Journal ArticleDOI
Generalizing Long Short-Term Memory Network for Deep Learning from Generic Data
Huimei Han,Xingquan Zhu,Ying Li +2 more
TL;DR: The theme is to explore feature correlation in the original data and convert each instance into a synthetic sentence format by using a two-gram probabilistic language model to generalize LSTM to generic machine-learning tasks where data used for training do not have explicit temporal or sequential correlation.
Proceedings ArticleDOI
EDLT: Enabling Deep Learning for Generic Data Classification
Huimei Han,Xingquan Zhu,Ying Li +2 more
TL;DR: This paper proposes to enable deep learning for generic machine learning tasks by converting each instance of the original dataset into a synthetic matrix format to take the full advantage of the feature learning power of deep learning methods.