By Professor Lina Yao

Preprints

Chen X; Yao L; Sun A; Wang X; Xu X; Zhu L, 2020, Generative Inverse Deep Reinforcement Learning for Online Recommendation, http://dx.doi.org/10.48550/arxiv.2011.02248

Bai L; Yao L; Li C; Wang X; Wang C, 2020, Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting, http://dx.doi.org/10.48550/arxiv.2007.02842

Zhang X; Yao L; Wang X; Monaghan J; Mcalpine D; Zhang Y, 2020, A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent Advances and New Frontiers, http://dx.doi.org/10.48550/arxiv.1905.04149

Li C; Bai L; Liu W; Yao L; Waller ST, 2020, Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network, http://dx.doi.org/10.48550/arxiv.2009.05777

Liu Z; Wang X; Yao L; An J; Bai L; Lim E-P, 2020, Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding, http://dx.doi.org/10.48550/arxiv.2007.06842

Altulyan M; Yao L; Wang X; Huang C; Kanhere SS; Sheng QZ, 2020, Recommender Systems for the Internet of Things: A Survey, http://dx.doi.org/10.48550/arxiv.2007.06758

Liu Z; Yao L; Bai L; Wang X; Wang C, 2020, Spectrum-Guided Adversarial Disparity Learning, http://dx.doi.org/10.48550/arxiv.2007.06831

Zhang X; Yao L; Huang C; Kanhere SS; Zhang D; Zhang Y, 2020, Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding, http://dx.doi.org/10.48550/arxiv.1810.02223

Chen X; Yao L; Zhou T; Dong J; Zhang Y, 2020, Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images, http://dx.doi.org/10.48550/arxiv.2006.13276

Wang X; Yao L; Wang X; Nie F, 2020, NP-PROV: Neural Processes with Position-Relevant-Only Variances, http://dx.doi.org/10.48550/arxiv.2007.00767

Cao Y; Chen X; Yao L; Wang X; Zhang WE, 2020, Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems, http://dx.doi.org/10.48550/arxiv.2006.07934

Liu Z; Li Y; Yao L; Wang X; Nie F, 2020, Agglomerative Neural Networks for Multi-view Clustering, http://dx.doi.org/10.48550/arxiv.2005.05556

Tran DH; Sheng QZ; Zhang WE; Hamad SA; Zaib M; Tran NH; Yao L; Khoa NLD, 2020, Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems, http://dx.doi.org/10.48550/arxiv.2004.13245

Zhang C; Song Y; Yao L; Cai W, 2020, Shape-Oriented Convolution Neural Network for Point Cloud Analysis, http://dx.doi.org/10.48550/arxiv.2004.09411

Liu Z; Yao L; Wang X; Bai L; An J, 2020, Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction, http://dx.doi.org/10.48550/arxiv.2004.08581

Chen X; Huang C; Yao L; Wang X; Liu W; Zhang W, 2020, Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation, http://dx.doi.org/10.48550/arxiv.2004.08068

Chen X; Yao L; Zhang Y, 2020, Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images, http://dx.doi.org/10.48550/arxiv.2004.05645

Zhang X; Chen X; Yao L; Ge C; Dong M, 2020, Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning, http://dx.doi.org/10.48550/arxiv.1907.13359

Zhang X; Chen X; Dong M; Liu H; Ge C; Yao L, 2020, Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals, http://dx.doi.org/10.48550/arxiv.1907.13351

Xu W; Zhang X; Yao L; Xue W; Wei B, 2020, A Multi-view CNN-based Acoustic Classification System for Automatic Animal Species Identification, http://dx.doi.org/10.48550/arxiv.2002.09821

Gao C; He X; Gan D; Chen X; Feng F; Li Y; Chua T-S; Yao L; Song Y; Jin D, 2020, Learning to Recommend with Multiple Cascading Behaviors, http://dx.doi.org/10.48550/arxiv.1809.08161

Zhang X; Yao L; Dong M; Liu Z; Zhang Y; Li Y, 2020, Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection, http://dx.doi.org/10.48550/arxiv.1909.10868

Li Y; Long G; Shen T; Zhou T; Yao L; Huo H; Jiang J, 2019, Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction, http://dx.doi.org/10.48550/arxiv.1911.11899

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

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