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Journal articles

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, vol. 131, pp. 103352 - 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, vol. 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, vol. 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, vol. 121, pp. 25 - 34, http://dx.doi.org/10.1016/j.future.2021.03.003

Chen K; Zhang D; Yao L; Guo B; Yu Z; Liu Y, 2021, 'Deep learning for sensor-based human activity recognition: Overview, challenges, and opportunities', ACM Computing Surveys, vol. 54, pp. 1 - 40, http://dx.doi.org/10.1145/3447744

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, vol. 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, vol. 15, http://dx.doi.org/10.1145/3446982

Altulyan M; Yao L; Wang X; Huang C; Kanhere SS; Sheng QZ, 2021, 'A Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions', The Computer Journal, http://dx.doi.org/10.1093/comjnl/bxab049

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, vol. 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, vol. 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, vol. 124, http://dx.doi.org/10.1016/j.tre.2020.102921

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

Dong M; Yao L; Wang X; Xu X; Zhu L, 2021, 'Adversarial dual autoencoders for trust-aware recommendation', Neural Computing and Applications, http://dx.doi.org/10.1007/s00521-021-05722-3

Liu Z; Li Y; Yao L; Wang X; Nie F, 2021, 'Agglomerative Neural Networks for Multiview Clustering', IEEE Transactions on Neural Networks and Learning Systems, http://dx.doi.org/10.1109/TNNLS.2020.3045932

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, vol. 29, pp. 1452 - 1461, http://dx.doi.org/10.1109/TNSRE.2021.3095298

Tao Y; Wang C; Yao L; Li W; Yu Y, 2021, 'Item trend learning for sequential recommendation system using gated graph neural network', Neural Computing and Applications, http://dx.doi.org/10.1007/s00521-021-05723-2

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, vol. 9, pp. 62241 - 62254, http://dx.doi.org/10.1109/ACCESS.2021.3074755

Zhang D; Yao L; Chen K; Yang Z; Gao X; Liu Y, 2021, 'Preventing Sensitive Information Leakage from Mobile Sensor Signals via IntegrativeTransformation', IEEE Transactions on Mobile Computing, pp. 1 - 1, http://dx.doi.org/10.1109/TMC.2021.3078086

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

Li Q; Yu Z; Yao L; Guo B, 2021, 'RLTIR: Activity-based Interactive Person Identification via Reinforcement Learning Tree', IEEE Internet of Things Journal, pp. 1 - 1, http://dx.doi.org/10.1109/jiot.2021.3104024

Liu H; Zheng Q; Luo M; Chang X; Yan C; Yao L, 2020, 'Memory transformation networks for weakly supervised visual classification', Knowledge-Based Systems, vol. 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, vol. 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, vol. 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, vol. 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, vol. 35, pp. 7 - 17, http://dx.doi.org/10.1109/MIS.2020.2988925

Guo B; Ding Y; Yao L; Liang Y; Yu Z, 2020, 'The Future of False Information Detection on Social Media: New Perspectives and Trends', ACM Computing Surveys, vol. 53, http://dx.doi.org/10.1145/3393880

Zhang D; Yao L; Chen K; Wang S; Chang X; Liu Y, 2020, 'Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition', IEEE Transactions on Cybernetics, vol. 50, pp. 3033 - 3044, http://dx.doi.org/10.1109/TCYB.2019.2905157

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, vol. 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, vol. 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, vol. 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), vol. 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, vol. 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, vol. 34, pp. 4796 - 4803, http://dx.doi.org/10.1609/aaai.v34i04.5914

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, vol. 79, pp. 4989 - 5002, http://dx.doi.org/10.1007/s11042-019-7182-7

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, vol. 519, pp. 407 - 422, http://dx.doi.org/10.1016/j.ins.2020.01.025

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, 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

Chu J; Wang X; Qian K; Yao L; Xiao F; Li J; Yang Z, 2020, 'Passenger Demand Prediction with Cellular Footprints', IEEE Transactions on Mobile Computing, pp. 1 - 1, http://dx.doi.org/10.1109/tmc.2020.3005240

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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 26, pp. 715 - 719, http://dx.doi.org/10.1109/LSP.2019.2906824


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