Select Publications
Preprints
, 2018, A Survey on Expert Recommendation in Community Question Answering, http://arxiv.org/abs/1807.05540v1
, 2018, GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest, http://dx.doi.org/10.48550/arxiv.1806.08079
, 2018, Opinion Fraud Detection via Neural Autoencoder Decision Forest, http://dx.doi.org/10.48550/arxiv.1805.03379
, 2018, NeuRec: On Nonlinear Transformation for Personalized Ranking, http://arxiv.org/abs/1805.03002v3
, 2018, Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity, http://dx.doi.org/10.48550/arxiv.1805.00789
, 2017, MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network, http://dx.doi.org/10.48550/arxiv.1711.06149
, 2017, Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals, http://dx.doi.org/10.48550/arxiv.1709.08820
, 2017, Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis, http://dx.doi.org/10.48550/arxiv.1709.09077
, 2017, Deep Learning based Recommender System: A Survey and New Perspectives, http://dx.doi.org/10.48550/arxiv.1707.07435
, 2017, AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders, http://dx.doi.org/10.48550/arxiv.1704.00551
, 2017, Intent Recognition in Smart Living Through Deep Recurrent Neural Networks, http://dx.doi.org/10.48550/arxiv.1702.06830
, 2016, Searching for the Internet of Things on the Web: Where It Is and What It Looks Like, http://dx.doi.org/10.48550/arxiv.1607.06884
, 2016, Uncovering Locally Discriminative Structure for Feature Analysis, http://dx.doi.org/10.48550/arxiv.1607.02559
, 2015, Unveiling Contextual Similarity of Things via Mining Human-Thing Interactions in the Internet of Things, http://dx.doi.org/10.48550/arxiv.1512.08493
, 2015, Up in the Air: When Homes Meet the Web of Things, http://dx.doi.org/10.48550/arxiv.1512.06257
, 2015, Unsupervised Feature Analysis with Class Margin Optimization, http://dx.doi.org/10.48550/arxiv.1506.01330