By Professor Lina Yao

Preprints

Gao C; He X; Gan D; Chen X; Feng F; Li Y; Chua T-S; Yao L; Song Y; Jin D, 2018, Learning to Recommend with Multiple Cascading Behaviors, http://dx.doi.org/10.48550/arxiv.1809.08161

Yuan F; Yao L; Benatallah B, 2018, Adversarial Collaborative Auto-encoder for Top-N Recommendation, http://dx.doi.org/10.48550/arxiv.1808.05361

Huang C; Yao L; Wang X; Benatallah B; Zhang S; Dong M, 2018, Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships, http://dx.doi.org/10.48550/arxiv.1808.01092

Wang X; Huang C; Yao L; Benatallah B; Dong M, 2018, A Survey on Expert Recommendation in Community Question Answering, http://dx.doi.org/10.48550/arxiv.1807.05540

Dong M; Yao L; Wang X; Benatallah B; Zhang S, 2018, GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest, http://dx.doi.org/10.48550/arxiv.1806.08079

Dong M; Yao L; Wang X; Benatallah B; Huang C; Ning X, 2018, Opinion Fraud Detection via Neural Autoencoder Decision Forest, http://dx.doi.org/10.48550/arxiv.1805.03379

Zhang X; Yao L; Zhang S; Kanhere SS; Sheng QZ; Liu Y, 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

Zhang X; Yao L; Kanhere SS; Liu Y; Gu T; Chen K, 2017, MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network, http://dx.doi.org/10.48550/arxiv.1711.06149

Zhang X; Yao L; Sheng QZ; Kanhere SS; Gu T; Zhang D, 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

Zhang X; Yao L; Zhang D; Wang X; Sheng QZ; Gu T, 2017, Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis, http://dx.doi.org/10.48550/arxiv.1709.09077

Zhang S; Yao L; Sun A; Tay Y, 2017, Deep Learning based Recommender System: A Survey and New Perspectives, http://dx.doi.org/10.48550/arxiv.1707.07435

Zhang S; Yao L; Xu X, 2017, AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders, http://dx.doi.org/10.48550/arxiv.1704.00551

Zhang X; Yao L; Huang C; Sheng QZ; Wang X, 2017, Intent Recognition in Smart Living Through Deep Recurrent Neural Networks, http://dx.doi.org/10.48550/arxiv.1702.06830

Shemshadi A; Sheng QZ; Zhang WE; Sun A; Qin Y; Yao L, 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

Wang S; Nie F; Chang X; Li X; Sheng QZ; Yao L, 2016, Uncovering Locally Discriminative Structure for Feature Analysis, http://dx.doi.org/10.48550/arxiv.1607.02559

Yao L; Sheng QZ; Ngu AHH; Li X; Benatallah B, 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

Yao L; Sheng QZ; Benatallah B; Dustdar S; Wang X; Shemshadi A; Ngu AHH, 2015, Up in the Air: When Homes Meet the Web of Things, http://dx.doi.org/10.48550/arxiv.1512.06257

Wang S; Nie F; Chang X; Yao L; Li X; Sheng QZ, 2015, Unsupervised Feature Analysis with Class Margin Optimization, http://dx.doi.org/10.48550/arxiv.1506.01330

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