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Journal articles

Lo SK; Xu X; Staples M; Yao L, 2020, 'Reliability analysis for blockchain oracles', Computers and Electrical Engineering, 83, http://dx.doi.org/10.1016/j.compeleceng.2020.106582

Guo B; Xie X; Yao L; Li Y; Hu X, 2020, 'Correction to: Special issue on recommender system (CCF Transactions on Pervasive Computing and Interaction, (2019), 1, 4, (237-239), 10.1007/s42486-019-00024-z)', CCF Transactions on Pervasive Computing and Interaction, 2, pp. 78, http://dx.doi.org/10.1007/s42486-019-00025-y

Zhang Y; Haghighi PD; Burstein F; Yap LW; Cheng W; Yao L; Cicuttini F, 2020, 'Electronic skin wearable sensors for detecting lumbar–pelvic movements', Sensors (Switzerland), 20, http://dx.doi.org/10.3390/s20051510

Zhang S; Yao L; Wu B; Xu X; Zhang X; Zhu L, 2020, 'Unraveling Metric Vector Spaces with Factorization for Recommendation', IEEE Transactions on Industrial Informatics, 16, pp. 732 - 742, http://dx.doi.org/10.1109/TII.2019.2947112

Li Z; Yao L; Wang S; Kanhere S; Li X; Zhang H, 2020, 'Adaptive two-dimensional embedded image clustering', AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, pp. 4796 - 4803

Xu W; Zhang X; Yao L; Xue W; Wei B, 2020, 'A Multi-view CNN-based Acoustic Classification System for Automatic Animal Species Identification', Ad Hoc Networks, pp. 102115 - 102115

Altulyan M; Yao L; Kanhere SS; Wang X; Huang C, 2020, 'A unified framework for data integrity protection in people-centric smart cities', Multimedia Tools and Applications, 79, pp. 4989 - 5002

Zhang X; Yao L; Dong M; Liu Z; Zhang Y; Li Y, 2020, 'Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection', IEEE Journal of Biomedical and Health Informatics

Xiao Y; Pei Q; Yao L; Yu S; Bai L; Wang X, 2020, 'An enhanced probabilistic fairness-aware group recommendation by incorporating social activeness', Journal of Network and Computer Applications, pp. 102579 - 102579

Liu H; Yao L; Zheng Q; Luo M; Zhao H; Lyu Y, 2020, 'Dual-stream generative adversarial networks for distributionally robust zero-shot learning', Information Sciences, 519, pp. 407 - 422

Li C; Bai L; Liu W; Yao L; Waller ST, 2020, 'Graph Neural Network for Robust Public Transit Demand Prediction', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 1 - 13, http://dx.doi.org/10.1109/tits.2020.3041234

Zhang D; Chen K; Jian D; Yao L, 2020, 'Motor Imagery Classification via Temporal Attention Cues of Graph Embedded EEG Signals', IEEE Journal of Biomedical and Health Informatics, pp. 1 - 1, http://dx.doi.org/10.1109/JBHI.2020.2967128

Huang C; Yao L; Wang X; Benatallah B; Zhang X, 2020, 'Software expert discovery via knowledge domain embeddings in a collaborative network', Pattern Recognition Letters, 130, pp. 46 - 53, http://dx.doi.org/10.1016/j.patrec.2018.10.030

Guo B; Xie X; Yao L; Li Y; Mascolo C; Hu X, 2019, 'Special issue on recommender system', CCF Transactions on Pervasive Computing and Interaction, 1, pp. 237 - 239, http://dx.doi.org/10.1007/s42486-019-00024-z

Ning X; Yao L; Benatallah B; Zhang Y; Sheng QZ; Kanhere SS, 2019, 'Source-aware crisis-relevant tweet identification and key information summarization', ACM Transactions on Internet Technology, 19, http://dx.doi.org/10.1145/3300229

Chen G; Zhu Y; Wiedmann T; Yao L; Xu L; Wang Y, 2019, 'Urban-rural disparities of household energy requirements and influence factors in China: Classification tree models', Applied Energy, 250, pp. 1321 - 1335, http://dx.doi.org/10.1016/j.apenergy.2019.04.170

Liu Y; Guo B; Li N; Zhang J; Chen J; Zhang D; Liu Y; Yu Z; Zhang S; Yao L, 2019, 'DeepStore: An Interaction-Aware WideDeep Model for Store Site Recommendation with Attentional Spatial Embeddings', IEEE Internet of Things Journal, 6, pp. 7319 - 7333, http://dx.doi.org/10.1109/JIOT.2019.2916143

Tran NK; Sheng QZ; Ali Babar M; Yao L; Zhang WE; Dustdar S, 2019, 'Internet of things search engine', Communications of the ACM, 62, pp. 66 - 73, http://dx.doi.org/10.1145/3284763

Yu Z; Xu E; Du H; Guo B; Yao L, 2019, 'Inferring user profile attributes from multidimensional mobile phone sensory data', IEEE Internet of Things Journal, 6, pp. 5152 - 5162, http://dx.doi.org/10.1109/JIOT.2019.2897334

Ma L; Pei Q; Xiang Y; Yao L; Yu S, 2019, 'A reliable reputation computation framework for online items in E-commerce', Journal of Network and Computer Applications, 134, pp. 13 - 25, http://dx.doi.org/10.1016/j.jnca.2019.02.002

Zhang D; Yao L; Chen K; Monaghan J, 2019, 'A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis', IEEE Signal Processing Letters, 26, pp. 715 - 719, http://dx.doi.org/10.1109/LSP.2019.2906824

Yao L; Wang X; Sheng QZ; Dustdar S; Zhang S, 2019, 'Recommendations on the Internet of Things: Requirements, Challenges, and Directions', IEEE Internet Computing, 23, pp. 46 - 54, http://dx.doi.org/10.1109/MIC.2019.2909607

Zhang X; Yao L; Zhang S; Kanhere S; Sheng M; Liu Y, 2019, 'Internet of things meets brain-computer interface: A unified deep learning framework for enabling human-thing cognitive interactivity', IEEE Internet of Things Journal, 6, pp. 2084 - 2092, http://dx.doi.org/10.1109/JIOT.2018.2877786

Li Z; Yao L; Chang X; Zhan K; Sun J; Zhang H, 2019, 'Zero-shot event detection via event-adaptive concept relevance mining', Pattern Recognition, 88, pp. 595 - 603, http://dx.doi.org/10.1016/j.patcog.2018.12.010

Wang X; Xu X; Sheng QZ; Wang Z; Yao L, 2019, 'Novel artificial bee colony algorithms for QoS-aware service selection', IEEE Transactions on Services Computing, 12, pp. 247 - 261, http://dx.doi.org/10.1109/TSC.2016.2612663

Zhang S; Yao L; Sun A; Tay Y, 2019, 'Deep learning based recommender system: A survey and new perspectives', ACM Computing Surveys, 52, http://dx.doi.org/10.1145/3285029

Zhang D; Yao L; Chen K; Wang S; Haghighi PD; Sullivan C, 2019, 'A Graph-Based Hierarchical Attention Model for Movement Intention Detection from EEG Signals', IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27, pp. 2247 - 2253, http://dx.doi.org/10.1109/TNSRE.2019.2943362

Chen K; Yao L; Zhang D; Wang X; Chang X; Nie F, 2019, 'A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition', IEEE Transactions on Neural Networks and Learning Systems, pp. 1 - 10, http://dx.doi.org/10.1109/TNNLS.2019.2927224

Gao C; He X; Gan D; Chen X; Feng F; Li Y; Chua T; Yao L; Song Y; Jin D, 2019, 'Learning to Recommend with Multiple Cascading Behaviors', IEEE Transactions on Knowledge and Data Engineering, pp. 1 - 1, http://dx.doi.org/10.1109/TKDE.2019.2958808

Chen K; Yao L; Zhang D; Guo B; Yu Z, 2019, 'Multi-agent attentional activity recognition',

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',

Zhang X; Yao L; Kanhere SS; Liu Y; Gu T; Chen K, 2018, 'MindID', Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2, pp. 1 - 23, http://dx.doi.org/10.1145/3264959

Salama U; Yao L; Paik HY, 2018, 'An internet of things based multi-level privacy-preserving access control for smart living', Informatics, 5, http://dx.doi.org/10.3390/informatics5020023

Yao L; Sheng QZ; Benatallah B; Dustdar S; Wang X; Shemshadi A; Kanhere SS, 2018, 'WITS: an IoT-endowed computational framework for activity recognition in personalized smart homes', Computing, 100, pp. 369 - 385, http://dx.doi.org/10.1007/s00607-018-0603-z

Zhang Z; Zhang Y; Yao L; Song H; Kos A, 2018, 'A sensor-based wrist pulse signal processing and lung cancer recognition', Journal of Biomedical Informatics, 79, pp. 107 - 116, http://dx.doi.org/10.1016/j.jbi.2018.01.009

Yao L; Sheng QZ; Wang X; Wang S; Li X; Wang S, 2018, 'Collaborative text categorization via exploiting sparse coefficients', World Wide Web, 21, pp. 373 - 394, http://dx.doi.org/10.1007/s11280-017-0460-2

Ruan W; Sheng QZ; Yao L; Li X; Falkner NJG; Yang L, 2018, 'Device-free human localization and tracking with UHF passive RFID tags: A data-driven approach', Journal of Network and Computer Applications, 104, pp. 78 - 96, http://dx.doi.org/10.1016/j.jnca.2017.12.010

Zhang WE; Sheng QZ; Yao L; Taylor K; Shemshadi A; Qin Y, 2018, 'A learning-based framework for improving querying on web interfaces of curated knowledge bases', ACM Transactions on Internet Technology, 18, http://dx.doi.org/10.1145/3155806

Yao L; Sheng QZ; Wang X; Zhang WE; Qin Y, 2018, 'Collaborative location recommendation by integrating multi-dimensional contextual information', ACM Transactions on Internet Technology, 18, http://dx.doi.org/10.1145/3134438

Yao L; Sheng QZ; Li X; Gu T; Tan M; Wang X; Wang S; Ruan W, 2018, 'Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength', IEEE Transactions on Mobile Computing, 17, pp. 293 - 306, http://dx.doi.org/10.1109/TMC.2017.2706282

Zhang Y; Xhafa F; Ruiz C; Yao L, 2018, 'Special issue editorial: Wearable sensor signal processing for smart health', Smart Health, 5-6, pp. 1 - 3, http://dx.doi.org/10.1016/j.smhl.2018.03.004

Wang X; Huang C; Yao L; Benatallah B; Dong M, 2018, 'A Survey on Expert Recommendation in Community Question Answering', Journal of Computer Science and Technology, 33, pp. 625 - 653, http://dx.doi.org/10.1007/s11390-018-1845-0

Yao L; Wang X; Sheng QZ; Benatallah B; Huang C, 2018, 'Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations', IEEE Transactions on Services Computing

Dong M; Yao L; Wang X; Benatallah B; Huang C; Ning X, 2018, 'Opinion fraud detection via neural autoencoder decision forest', Pattern Recognition Letters

Ning X; Yao L; Wang X; Benatallah B; Dong M; Zhang S, 2018, 'Rating prediction via generative convolutional neural networks based regression', Pattern Recognition Letters

Shemshadi A; Sheng QZ; Qin Y; Sun A; Zhang WE; Yao L, 2017, 'Searching for the internet of things: where it is and what it looks like', Personal and Ubiquitous Computing, 21, pp. 1097 - 1112, http://dx.doi.org/10.1007/s00779-017-1034-0

Zhang WE; Sheng QZ; Qin Y; Taylor K; Yao L, 2017, 'Learning-based SPARQL query performance modeling and prediction', World Wide Web, pp. 1 - 21, http://dx.doi.org/10.1007/s11280-017-0498-1

Qin Y; Sheng QZ; Falkner NJG; Yao L; Parkinson S, 2017, 'Efficient computation of distance labeling for decremental updates in large dynamic graphs', World Wide Web, 20, pp. 915 - 937, http://dx.doi.org/10.1007/s11280-016-0421-1

Tran NK; Sheng QZ; Babar MA; Yao L, 2017, 'Searching the Web of Things: State of the art, challenges, and solutions', ACM Computing Surveys, 50, http://dx.doi.org/10.1145/3092695

Yao L; Sheng QZ; Ngu AHH; Li X; Benattalah B, 2017, 'Unveiling correlations via mining human-thing interactions in the web of things', ACM Transactions on Intelligent Systems and Technology, 8, http://dx.doi.org/10.1145/3035967


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