Select Publications
Preprints
2020, Recommender Systems for the Internet of Things: A Survey, , http://dx.doi.org/10.48550/arxiv.2007.06758
,2020, NP-PROV: Neural Processes with Position-Relevant-Only Variances, , http://dx.doi.org/10.48550/arxiv.2007.00767
,2020, Agglomerative Neural Networks for Multi-view Clustering, , http://arxiv.org/abs/2005.05556v1
,2020, Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems, , http://dx.doi.org/10.48550/arxiv.2004.13245
,2019, DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns, , http://dx.doi.org/10.48550/arxiv.1905.10760
,2019, STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting, , http://dx.doi.org/10.48550/arxiv.1905.10069
,2018, Automatic Device Classification from Network Traffic Streams of Internet of Things, , http://dx.doi.org/10.48550/arxiv.1812.09882
,2018, Internet of Things Search Engine: Concepts, Classification, and Open Issues, , http://dx.doi.org/10.48550/arxiv.1812.02930
,2018, Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network, , http://dx.doi.org/10.48550/arxiv.1810.11305
,2018, Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding, , http://dx.doi.org/10.48550/arxiv.1810.02223
,2018, Learning to Recommend with Multiple Cascading Behaviors, , http://dx.doi.org/10.48550/arxiv.1809.08161
,2018, Adversarial Collaborative Auto-encoder for Top-N Recommendation, , http://dx.doi.org/10.48550/arxiv.1808.05361
,2018, Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships, , http://dx.doi.org/10.48550/arxiv.1808.01092
,2018, A Survey on Expert Recommendation in Community Question Answering, , http://dx.doi.org/10.48550/arxiv.1807.05540
,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, 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, 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
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