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Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition
Kaixuan Chen, Lina Yao, Tao Gu +3
Multimodal features play a key role in wearable sensor based Human Activity Recognition (HAR). Selecting the most salient features adaptively is a promising way to maximize the eff…
MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network
Xiang Zhang, Lina Yao, Salil S. Kanhere +3
Person identification technology recognizes individuals by exploiting their unique, measurable physiological and behavioral characteristics. However, the state-of-the-art person id…
Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis
Xiang Zhang, Lina Yao, Dalin Zhang +3
An electroencephalography (EEG) based brain activity recognition is a fundamental field of study for a number of significant applications such as intention prediction, appliance co…
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals
Xiang Zhang, Lina Yao, Quan Z. Sheng +3
An electroencephalography (EEG) based Brain Computer Interface (BCI) enables people to communicate with the outside world by interpreting the EEG signals of their brains to interac…
Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface
Dalin Zhang, Lina Yao, Xiang Zhang +3
Brain-Computer Interface (BCI) is a system empowering humans to communicate with or control the outside world with exclusively brain intentions. Electroencephalography (EEG) based…
Deep Learning based Recommender System: A Survey and New Perspectives
Shuai Zhang, Lina Yao, Aixin Sun +1
With the ever-growing volume of online information, recommender systems have been an effective strategy to overcome such information overload. The utility of recommender systems ca…
Hybrid Collaborative Recommendation via Semi-AutoEncoder
Shuai Zhang, Lina Yao, Xiwei Xu +2
In this paper, we present a novel structure, Semi-AutoEncoder, based on AutoEncoder. We generalize it into a hybrid collaborative filtering model for rating prediction as well as p…
DeepKey: An EEG and Gait Based Dual-Authentication System
Xiang Zhang, Lina Yao, Chaoran Huang +3
Biometric authentication involves various technologies to identify individuals by exploiting their unique, measurable physiological and behavioral characteristics. However, traditi…
AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders
Shuai Zhang, Lina Yao, Xiwei Xu
Collaborative filtering (CF) has been successfully used to provide users with personalized products and services. However, dealing with the increasing sparseness of user-item matri…
Dynamic Intention-Aware Recommendation System
Shuai Zhang, Lina Yao
Recommender systems have been actively and extensively studied over past decades. In the meanwhile, the boom of Big Data is driving fundamental changes in the development of recomm…
Intent Recognition in Smart Living Through Deep Recurrent Neural Networks
Xiang Zhang, Lina Yao, Chaoran Huang +2
Electroencephalography (EEG) signal based intent recognition has recently attracted much attention in both academia and industries, due to helping the elderly or motor-disabled peo…