By Professor Lina Yao

Journal articles

Wu B; Zhong L; Yao L; Ye Y, 2022, 'EAGCN: An Efficient Adaptive Graph Convolutional Network for Item Recommendation in Social Internet of Things', IEEE Internet of Things Journal, 9, pp. 16386 - 16401, http://dx.doi.org/10.1109/JIOT.2022.3151400

Dong M; Yuan F; Yao L; Wang X; Xu X; Zhu L, 2022, 'A survey for trust-aware recommender systems: A deep learning perspective', Knowledge-Based Systems, 249, http://dx.doi.org/10.1016/j.knosys.2022.108954

Altulyan M; Yao L; Wang X; Huang C; Kanhere SS; Sheng QZ, 2022, 'A Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions', Computer Journal, 65, pp. 2098 - 2132, http://dx.doi.org/10.1093/comjnl/bxab049

Li Y; Liu Z; Yao L; Wang X; McAuley J; Chang X, 2022, 'An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning', IEEE Transactions on Circuits and Systems for Video Technology, 32, pp. 5175 - 5186, http://dx.doi.org/10.1109/TCSVT.2022.3147902

Liu Z; Li Y; Yao L; Wang X; Nie F, 2022, 'Agglomerative Neural Networks for Multiview Clustering', IEEE Transactions on Neural Networks and Learning Systems, 33, pp. 2842 - 2852, http://dx.doi.org/10.1109/TNNLS.2020.3045932

Chen K; Zhang D; Yao L; Guo B; Yu Z; Liu Y, 2022, 'Deep learning for sensor-based human activity recognition: Overview, challenges, and opportunities', ACM Computing Surveys, 54, http://dx.doi.org/10.1145/3447744

Wang S; Cao Y; Chen X; Yao L; Wang X; Sheng QZ, 2022, 'Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems', Frontiers in Big Data, 5, http://dx.doi.org/10.3389/fdata.2022.822783

Chen X; Li Y; Yao L; Adeli E; Zhang Y; Wang X, 2022, 'Generative adversarial U-Net for domain-free few-shot medical diagnosis', Pattern Recognition Letters, 157, pp. 112 - 118, http://dx.doi.org/10.1016/j.patrec.2022.03.022

Li Q; Yu Z; Yao L; Guo B, 2022, 'RLTIR: Activity-Based Interactive Person Identification via Reinforcement Learning Tree', IEEE Internet of Things Journal, 9, pp. 4464 - 4475, http://dx.doi.org/10.1109/JIOT.2021.3104024

Salama U; Yao L; Paik HY, 2022, 'A Multilevel Collective Framework for Internet of Things Digital Forensic Investigation', Computer, 55, pp. 44 - 53, http://dx.doi.org/10.1109/MC.2021.3095492

Liu Z; Wang X; Li Y; Yao L; An J; Bai L; Lim EP, 2022, 'Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding', Knowledge-Based Systems, 235, http://dx.doi.org/10.1016/j.knosys.2021.107665

Li N; Guo B; Liu Y; Yao L; Liu J; Yu Z, 2022, 'AskMe: joint individual-level and community-level behavior interaction for question recommendation', World Wide Web, 25, pp. 49 - 72, http://dx.doi.org/10.1007/s11280-021-00964-6

Huang C; Yao L; Wang X; Sheng QZ; Dustdar S; Wang Z; Xu X, 2022, 'Intent-Aware Interactive Internet of Things for Enhanced Collaborative Ambient Intelligence', IEEE Internet Computing, 26, pp. 68 - 75, http://dx.doi.org/10.1109/MIC.2021.3099599

Chu J; Wang X; Qian K; Yao L; Xiao F; Li J; Yang Z, 2022, 'Passenger Demand Prediction with Cellular Footprints', IEEE Transactions on Mobile Computing, 21, pp. 252 - 263, http://dx.doi.org/10.1109/TMC.2020.3005240

Li X; Yao L; Chen W, 2022, 'Preface', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13726 LNAI, pp. v - vi

Li X; Yao L; Chen W, 2022, 'Preface', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13725 LNAI, pp. v - vi

Fernández P; Medjahed B; Piattini M; Cortés AR; Yao L, 2022, 'Preface', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13740 LNCS, pp. v - vi

Liu Z; Li Y; Yao L; Lucas M; Monaghan JJM; Zhang Y, 2022, 'Side-Aware Meta-Learning for Cross-Dataset Listener Diagnosis With Subjective Tinnitus', IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, pp. 2352 - 2361, http://dx.doi.org/10.1109/TNSRE.2022.3201158

Zhang T; Rabhi F; Behnaz A; Chen X; Paik HY; Yao L; MacIntyre CR, 2022, 'Use of automated machine learning for an outbreak risk prediction tool', Informatics in Medicine Unlocked, 34, http://dx.doi.org/10.1016/j.imu.2022.101121

Xu Y; Yin Y; Wang J; Wei J; Liu J; Yao L; Zhang W, 2021, 'Unsupervised Cross-View Feature Selection on incomplete data[Formula presented]', Knowledge-Based Systems, 234, http://dx.doi.org/10.1016/j.knosys.2021.107595

Altulyan M; Yao L; Huang C; Wang X; Kanhere SS, 2021, 'Context-induced activity monitoring for on-demand things-of-interest recommendation in an ambient intelligent environment', Future Internet, 13, http://dx.doi.org/10.3390/fi13120305

Li C; Bai L; Liu W; Yao L; Waller ST, 2021, 'A multi-task memory network with knowledge adaptation for multimodal demand forecasting', Transportation Research Part C: Emerging Technologies, 131, pp. 103352, http://dx.doi.org/10.1016/j.trc.2021.103352

Wang M; Chen W; Wang S; Jiang Y; Yao L; Qi G, 2021, 'Efficient search over incomplete knowledge graphs in binarized embedding space', Future Generation Computer Systems, 123, pp. 24 - 34, http://dx.doi.org/10.1016/j.future.2021.04.006

Bouguettaya A; Sheng QZ; Benatallah B; Neiat AG; Mistry S; Ghose A; Nepal S; Yao L, 2021, 'An internet of things service roadmap', Communications of the ACM, 64, pp. 86 - 95, http://dx.doi.org/10.1145/3464960

Bai L; Yao L; Wang X; Li C; Zhang X, 2021, 'Deep spatial–temporal sequence modeling for multi-step passenger demand prediction', Future Generation Computer Systems, 121, pp. 25 - 34, http://dx.doi.org/10.1016/j.future.2021.03.003

Guo B; Ding Y; Yao L; Liang Y; Yu Z, 2021, 'The Future of False Information Detection on Social Media: New Perspectives and Trends', ACM Computing Surveys, 53, http://dx.doi.org/10.1145/3393880

Zhang X; Yao L; Wang X; Monaghan J; Mcalpine D; Zhang Y, 2021, 'A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers', Journal of Neural Engineering, 18, http://dx.doi.org/10.1088/1741-2552/abc902

Hao S; Guo B; Wang H; Liang Y; Yao L; Wang Q; Yu Z, 2021, 'DeepDepict: Enabling Information Rich, Personalized Product Description GenerationWith the Deep Multiple Pointer Generator Network', ACM Transactions on Knowledge Discovery from Data, 15, http://dx.doi.org/10.1145/3446982

Chen X; Yao L; Zhou T; Dong J; Zhang Y, 2021, 'Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images', Pattern Recognition, 113, http://dx.doi.org/10.1016/j.patcog.2021.107826

Xiao Y; Pei Q; Xiao T; Yao L; Liu H, 2021, 'MutualRec: Joint friend and item recommendations with mutualistic attentional graph neural networks', Journal of Network and Computer Applications, 177, http://dx.doi.org/10.1016/j.jnca.2020.102954

Li C; Bai L; Liu W; Yao L; Waller ST, 2021, 'Urban mobility analytics: A deep spatial-temporal product neural network for traveler attributes inference', TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 124, http://dx.doi.org/10.1016/j.tre.2020.102921

Li C; Bai L; Liu W; Yao L; Travis Waller S; Waller ST, 2021, 'Urban mobility analytics: A deep spatial–temporal product neural network for traveler attributes inference', Transportation Research Part C: Emerging Technologies, 124, pp. 102921, http://dx.doi.org/10.1016/j.trc.2020.102921

Shah SW; Kanhere SS; Zhang J; Yao L, 2021, 'VID: Human identification through vein patterns captured from commodity depth cameras', IET Biometrics, 10, pp. 142 - 162, http://dx.doi.org/10.1049/bme2.12009

Liu Z; Yao L; Wang X; Monaghan JJM; Schaette R; He Z; McAlpine D, 2021, 'Generalizable Sample-Efficient Siamese Autoencoder for Tinnitus Diagnosis in Listeners with Subjective Tinnitus', IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29, pp. 1452 - 1461, http://dx.doi.org/10.1109/TNSRE.2021.3095298

Zhang Y; Haghighi PD; Burstein F; Yao L; Cicuttini F, 2021, 'On-Device Lumbar-Pelvic Movement Detection Using Dual-IMU: A DNN-Based Approach', IEEE Access, 9, pp. 62241 - 62254, http://dx.doi.org/10.1109/ACCESS.2021.3074755

Liu H; Zheng Q; Luo M; Chang X; Yan C; Yao L, 2020, 'Memory transformation networks for weakly supervised visual classification', Knowledge-Based Systems, 210, http://dx.doi.org/10.1016/j.knosys.2020.106432

Jiao Y; Zhou T; Yao L; Zhou G; Wang X; Zhang Y, 2020, 'Multi-View Multi-Scale Optimization of Feature Representation for EEG Classification Improvement', IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28, pp. 2589 - 2597, http://dx.doi.org/10.1109/TNSRE.2020.3040984

Xiao Y; Pei Q; Yao L; Wang X, 2020, 'RecRisk: An enhanced recommendation model with multi-facet risk control', Expert Systems with Applications, 158, http://dx.doi.org/10.1016/j.eswa.2020.113561

Chen W; Long G; Yao L; Sheng QZ, 2020, 'AMRNN: attended multi-task recurrent neural networks for dynamic illness severity prediction', World Wide Web, 23, pp. 2753 - 2770, http://dx.doi.org/10.1007/s11280-019-00720-x

Xiao Y; Yao L; Pei Q; Wang X; Yang J; Sheng QZ, 2020, 'MGNN: Mutualistic Graph Neural Network for Joint Friend and Item Recommendation', IEEE Intelligent Systems, 35, pp. 7 - 17, http://dx.doi.org/10.1109/MIS.2020.2988925

Altulyan M; Yao L; Wang X; Huang C; Kanhere SS; Sheng QZ, 2020, 'Recommender Systems for the Internet of Things: A Survey', , http://arxiv.org/abs/2007.06758v1

Zhang D; Han J; Zhang Y; Xu D, 2020, 'Synthesizing Supervision for Learning Deep Saliency Network without Human Annotation', IEEE Transactions on Pattern Analysis and Machine Intelligence, 42, pp. 1755 - 1769, http://dx.doi.org/10.1109/TPAMI.2019.2900649

Bai L; Yao L; Wang X; Kanhere SS; Guo B; Yu Z, 2020, 'Adversarial Multi-view Networks for Activity Recognition', Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4, http://dx.doi.org/10.1145/3397323

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

Zhang S; Yao L; Sun A; Tay Y, 2020, 'Deep learning based recommender system: A survey and new perspectives', ACM Computing Surveys, 52, http://dx.doi.org/10.1145/3285029

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

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