Area of research
Artificial Intelligence · Signal Processing
Research interest
Research interests include Computer science, Artificial intelligence, Artificial neural network, Convolutional neural network, Speech recognition, and Benchmark (surveying).
Surface-Electromyography-Based Gesture Recognition by Multi-View Deep Learning
A novel attention-based hybrid CNN-RNN architecture for sEMG-based gesture recognition
A multi-stream convolutional neural network for sEMG-based gesture recognition in muscle-computer interface
Nonrecurrent Neural Structure for Long-Term Dependence
Cause-Effect Knowledge Acquisition and Neural Association Model for Solving A Set of Winograd Schema Problems
Combing Context and Commonsense Knowledge Through Neural Networks for Solving Winograd Schema Problems
NPARC 2016cited by 30position: last
Intra-Topic Variability Normalization based on Linear Projection for Topic Classification
State-Clustering Based Multiple Deep Neural Networks Modeling Approach for Speech Recognition
Investigation of deep neural networks (DNN) for large vocabulary continuous speech recognition: Why DNN surpasses GMMS in acoustic modeling
Investigation on dimensionality reduction of concatenated features with deep neural network for LVCSR systems