Select Publications

Preprints

Li C; Bai L; Liu W; Yao L; Waller ST, 2022, Unsupervised Knowledge Adaptation for Passenger Demand Forecasting, http://dx.doi.org/10.48550/arxiv.2206.04053

Li Y; Liu Z; Yao L; Monaghan JJM; McAlpine D, 2022, Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis, http://dx.doi.org/10.48550/arxiv.2205.03230

Li Y; Liu Z; Yao L; Lucas M; Monaghan JJM; Zhang Y, 2022, Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus, http://dx.doi.org/10.48550/arxiv.2205.03231

Wang S; Cao Y; Chen X; Yao L; Wang X; Sheng QZ, 2021, Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems, http://dx.doi.org/10.48550/arxiv.2112.00973

Chen X; Yao L; Wang X; Sun A; Zhang W; Sheng QZ, 2021, Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference, http://dx.doi.org/10.48550/arxiv.2105.00822

Bouguettaya A; Sheng QZ; Benatallah B; Neiat AG; Mistry S; Ghose A; Nepal S; Yao L, 2021, An Internet of Things Service Roadmap, http://dx.doi.org/10.48550/arxiv.2103.03043

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

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

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

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

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

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

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; Huang C; Kanhere SS; Zhang D; Zhang Y, 2018, Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding, http://dx.doi.org/10.48550/arxiv.1810.02223

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 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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