By Professor Lina Yao

Preprints

Zhang S; Tay Y; Yao L; Liu Q, 2019, Quaternion Knowledge Graph Embeddings, http://dx.doi.org/10.48550/arxiv.1904.10281

Zhang X; Yao L; Wang X; Zhang W; Zhang S; Liu Y, 2019, Know Your Mind: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks, http://dx.doi.org/10.48550/arxiv.1802.03996

Zhang S; Yao L; Sun A; Tay Y, 2019, Deep Learning based Recommender System: A Survey and New Perspectives, http://dx.doi.org/10.48550/arxiv.1707.07435

Zhang S; Yao L; Tran LV; Zhang A; Tay Y, 2019, Quaternion Collaborative Filtering for Recommendation, http://dx.doi.org/10.48550/arxiv.1906.02594

Liu L; Zhou T; Long G; Jiang J; Yao L; Zhang C, 2019, Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph, http://dx.doi.org/10.48550/arxiv.1905.04042

Yuan F; Yao L; Benatallah B, 2019, DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns, http://dx.doi.org/10.48550/arxiv.1905.10760

Zhang S; Tay Y; Yao L; Wu B; Sun A, 2019, DeepRec: An Open-source Toolkit for Deep Learning based Recommendation, http://dx.doi.org/10.48550/arxiv.1905.10536

Bai L; Yao L; Kanhere SS; Wang X; Sheng QZ, 2019, STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting, http://dx.doi.org/10.48550/arxiv.1905.10069

Zhang X; Yao L; Yuan F, 2019, Adversarial Variational Embedding for Robust Semi-supervised Learning, http://dx.doi.org/10.48550/arxiv.1905.02361

Bai L; Yao L; Kanhere SS; Wang X; Yang Z, 2018, Automatic Device Classification from Network Traffic Streams of Internet of Things, http://dx.doi.org/10.48550/arxiv.1812.09882

Tran NK; Sheng QZ; Babar MA; Yao L; Zhang WE; Dustdar S, 2018, Internet of Things Search Engine: Concepts, Classification, and Open Issues, http://dx.doi.org/10.48550/arxiv.1812.02930

Huang C; Yao L; Wang X; Benatallah B; Zhang X, 2018, Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network, http://dx.doi.org/10.48550/arxiv.1810.11305

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 S; Tay Y; Yao L; Sun A, 2018, Next Item Recommendation with Self-Attention, http://dx.doi.org/10.48550/arxiv.1808.06414

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

Zhang S; Yao L; Sun A; Wang S; Long G; Dong M, 2018, NeuRec: On Nonlinear Transformation for Personalized Ranking, http://dx.doi.org/10.48550/arxiv.1805.03002

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

Zhang S; Yao L; Tay Y; Xu X; Zhang X; Zhu L, 2018, Metric Factorization: Recommendation beyond Matrix Factorization, http://dx.doi.org/10.48550/arxiv.1802.04606

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; 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; Xu X; Wang S; Zhu L, 2017, Hybrid Collaborative Recommendation via Semi-AutoEncoder, http://dx.doi.org/10.48550/arxiv.1706.04453

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

Yao L; Sheng QZ; Ngu AHH; Li X; Benatallah B, 2017, 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, 2017, Up in the Air: When Homes Meet the Web of Things, http://dx.doi.org/10.48550/arxiv.1512.06257

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 S; Yao L, 2017, Dynamic Intention-Aware Recommendation System, http://dx.doi.org/10.48550/arxiv.1703.03112

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

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

Chen H; Lin Y; Fu M; Yao L; Sheng QZ, A Survey on Reinforcement Learning Methods for UAV Systems, http://dx.doi.org/10.36227/techrxiv.172893546.67426756/v2

Chen H; Lin Y; Fu M; Yao L; Sheng QZ, A Survey on Reinforcement Learning Methods for UAV Systems, http://dx.doi.org/10.36227/techrxiv.172893546.67426756/v1

Wang X; Zhao K; Yao L; Fonzo GA; Satterthwaite TD; Rekik I; Zhang Y, Delineating Transdiagnostic Subtypes in Neurodevelopmental Disorders via Contrastive Graph Machine Learning of Brain Connectivity Patterns, http://dx.doi.org/10.1101/2024.02.29.582790

Li Z; Chen Y; Wang X; Yao L; Xu G, Multi-view GCN for Loan Default Risk Prediction, http://dx.doi.org/10.21203/rs.3.rs-2754272/v1

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