Lina Yao

Associate Professor
Journal articles
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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
2021
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
2021
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
2021
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
2021
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
2021
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
2021
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
2021
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
2021
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
2021
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
2021
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
2020
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
2020
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
2020
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
2020
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
2020
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
2020
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
2020
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
2020
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
2020
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
2020
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
2020
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
2020
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
2020
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
2020
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
2020
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
2020
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
2020
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
2020
Chen X; Huang C; Yao L; Wang X; Liu W; Zhang W, 2020, 'Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation', arXiv preprint arXiv:2004.08068
2020
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
2020
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
2020
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',
2019
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, vol. 27, pp. 2247 - 2253, http://dx.doi.org/10.1109/TNSRE.2019.2943362
2019
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
2019
Chen K; Yao L; Zhang D; Guo B; Yu Z, 2019, 'Multi-agent attentional activity recognition',
2019
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
2019
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
2019
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
2019
Zhang S; Yao L; Sun A; Tay Y, 2019, 'Deep learning based recommender system: A survey and new perspectives', ACM Computing Surveys, vol. 52, http://dx.doi.org/10.1145/3285029
2019
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, vol. 12, pp. 247 - 261, http://dx.doi.org/10.1109/TSC.2016.2612663
2019
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
2019
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
2019
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, vol. 88, pp. 595 - 603, http://dx.doi.org/10.1016/j.patcog.2018.12.010
2019
Yao L; Wang X; Sheng QZ; Dustdar S; Zhang S, 2019, 'Recommendations on the Internet of Things: Requirements, Challenges, and Directions', IEEE Internet Computing, vol. 23, pp. 46 - 54, http://dx.doi.org/10.1109/MIC.2019.2909607
2019
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
2019
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
2019
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, vol. 6, pp. 2084 - 2092, http://dx.doi.org/10.1109/JIOT.2018.2877786
2019
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
2019
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, vol. 104, pp. 78 - 96, http://dx.doi.org/10.1016/j.jnca.2017.12.010
2018
Yao L; Sheng QZ; Wang X; Wang S; Li X; Wang S, 2018, 'Collaborative text categorization via exploiting sparse coefficients', World Wide Web, vol. 21, pp. 373 - 394, http://dx.doi.org/10.1007/s11280-017-0460-2
2018
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, vol. 18, http://dx.doi.org/10.1145/3134438
2018
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, vol. 17, pp. 293 - 306, http://dx.doi.org/10.1109/TMC.2017.2706282
2018
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, vol. 33, pp. 625 - 653, http://dx.doi.org/10.1007/s11390-018-1845-0
2018
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, vol. 100, pp. 369 - 385, http://dx.doi.org/10.1007/s00607-018-0603-z
2018
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, vol. 79, pp. 107 - 116, http://dx.doi.org/10.1016/j.jbi.2018.01.009
2018
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, http://dx.doi.org/10.1109/TSC.2018.2803171
2018
Dong M; Yao L; Wang X; Benatallah B; Huang C; Ning X, 2018, 'Opinion fraud detection via neural autoencoder decision forest', Pattern Recognition Letters, http://dx.doi.org/10.1016/j.patrec.2018.07.013
2018
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, http://dx.doi.org/10.1016/j.patrec.2018.07.028
2018
Salama U; Yao L; Paik HY, 2018, 'An internet of things based multi-level privacy-preserving access control for smart living', Informatics, vol. 5, http://dx.doi.org/10.3390/informatics5020023
2018
Zhang Y; Xhafa F; Ruiz C; Yao L, 2018, 'Special issue editorial: Wearable sensor signal processing for smart health', Smart Health, vol. 5-6, pp. 1 - 3, http://dx.doi.org/10.1016/j.smhl.2018.03.004
2018
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, vol. 18, http://dx.doi.org/10.1145/3155806
2018
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, vol. 8, http://dx.doi.org/10.1145/3035967
2017
Zhang WE; Sheng QZ; Qin Y; Taylor K; Yao L, 2017, 'Learning-based SPARQL query performance modeling and prediction', World Wide Web, vol. 21, pp. 1 - 21, http://dx.doi.org/10.1007/s11280-017-0498-1
2017
Tran NK; Sheng QZ; Babar MA; Yao L, 2017, 'Searching the Web of Things: State of the art, challenges, and solutions', ACM Computing Surveys, vol. 50, http://dx.doi.org/10.1145/3092695
2017
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, vol. 20, pp. 915 - 937, http://dx.doi.org/10.1007/s11280-016-0421-1
2017
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, vol. 21, pp. 1097 - 1112, http://dx.doi.org/10.1007/s00779-017-1034-0
2017
Wang S; Li X; Chang X; Yao L; Sheng QZ; Long G, 2017, 'Learning multiple diagnosis codes for ICU patients with local disease correlation mining', ACM Transactions on Knowledge Discovery from Data, vol. 11, http://dx.doi.org/10.1145/3003729
2017
Yao L; Sheng QZ; Ngu AHH; Gao BJ; Li X; Wang S, 2016, 'Multi-label classification via learning a unified object-label graph with sparse representation', World Wide Web, vol. 19, pp. 1125 - 1149, http://dx.doi.org/10.1007/s11280-015-0376-7
2016
Noor TH; Sheng QZ; Yao L; Dustdar S; Ngu AHH, 2016, 'CloudArmor: Supporting Reputation-Based Trust Management for Cloud Services', IEEE Transactions on Parallel and Distributed Systems, vol. 27, pp. 367 - 380, http://dx.doi.org/10.1109/TPDS.2015.2408613
2016
Wang S; Chang XJ; Li X; Long G; Yao L; Sheng QZ, 2016, 'Diagnosis Code Assignment Using Sparsity-Based Disease Correlation Embedding', IEEE Transactions on Knowledge and Data Engineering, vol. 28, pp. 3191 - 3202, http://dx.doi.org/10.1109/TKDE.2016.2605687
2016
Yao L; Sheng QZ; Ngu AHH; Li X, 2016, 'Things of interest recommendation by leveraging heterogeneous relations in the internet of things', ACM Transactions on Internet Technology, vol. 16, http://dx.doi.org/10.1145/2837024
2016
Zeng R; Sheng QZ; Yao L, 2015, 'A simulation method for social networks', Social Network Analysis and Mining, vol. 5, pp. 1 - 14, http://dx.doi.org/10.1007/s13278-015-0246-4
2015
Yao L; Sheng QZ; Ngu AHH; Yu J; Segev A, 2015, 'Unified collaborative and content-based web service recommendation', IEEE Transactions on Services Computing, vol. 8, pp. 453 - 466, http://dx.doi.org/10.1109/TSC.2014.2355842
2015
Yao L; Sheng QZ; Dustdar S, 2015, 'Web-based management of the internet of things', IEEE Internet Computing, vol. 19, pp. 60 - 67, http://dx.doi.org/10.1109/MIC.2015.77
2015
Maamar Z; Faci N; Boukadi K; Sheng QZ; Yao L, 2014, 'Commitments to regulate social web services operation', IEEE Transactions on Services Computing, vol. 7, pp. 154 - 167, http://dx.doi.org/10.1109/TSC.2013.29
2014
Sheng QZ; Maamar Z; Yao L; Szabo C; Bourne S, 2014, 'Behavior modeling and automated verification of Web services', Information Sciences, vol. 258, pp. 416 - 433, http://dx.doi.org/10.1016/j.ins.2012.09.016
2014
Ma J; Sheng QZ; Yao L; Xu Y; Shemshadi A, 2014, 'Keyword search over web documents based on earth mover’s distance', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8786, pp. 256 - 265, http://dx.doi.org/10.1007/978-3-319-11749-2_20
2014
Yahyaoui H; Mourad A; Almulla M; Yao L; Sheng QZ, 2012, 'A synergy between context-aware policies and AOP to achieve highly adaptable Web services', Service Oriented Computing and Applications, vol. 6, pp. 379 - 392, http://dx.doi.org/10.1007/s11761-012-0113-3
2012
Zhang X; Yao L; Huang C; Gu T; Yang Z; Liu Y, 'DeepKey: A Multimodal Biometric Authentication System via Deep Decoding Gaits and Brainwaves', ACM Transactions on Intelligent Systems and Technology (TIST)
Altulyan M; Yao L; Wang X; Huang C; Kanhere SS; Sheng QZ, 'Recommender Systems for the Internet of Things: A Survey', , http://arxiv.org/abs/2007.06758v1
Conference Papers
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Wang B; Chen S; Yao L; Wang Q, 2021, 'ChainSim: A P2P Blockchain Simulation Framework', in Communications in Computer and Information Science, pp. 1 - 16, http://dx.doi.org/10.1007/978-981-33-6478-3_1
2021
Salama U; Chen X; Yao L; Paik HY; Wang X, 2021, 'Deep Multi-view Spatio-Temporal Network for Urban Crime Prediction', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 50 - 61, http://dx.doi.org/10.1007/978-3-030-69377-0_5
2021
Yue L; Tian D; Jiang J; Yao L; Chen W; Zhao X, 2021, 'Intention Recognition from Spatio-Temporal Representation of EEG Signals', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 1 - 12, http://dx.doi.org/10.1007/978-3-030-69377-0_1
2021
Altulayan MS; Huang C; Yao L; Wang X; Kanhere S, 2021, 'Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 37 - 49, http://dx.doi.org/10.1007/978-3-030-69377-0_4
2021
Li Z; Chang X; Yao L; Pan S; Zongyuan G; Zhang H, 2020, 'Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 297 - 305, http://dx.doi.org/10.1145/3394486.3403072
2020
Liu Z; Yao L; Bai L; Wang X; Wang C, 2020, 'Spectrum-Guided Adversarial Disparity Learning', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 114 - 124, http://dx.doi.org/10.1145/3394486.3403054
2020
Cao Y; Chen X; Yao L; Wang X; Zhang WE, 2020, 'Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems', in SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1669 - 1672, http://dx.doi.org/10.1145/3397271.3401196
2020
Dong M; Yuan F; Yao L; Xu X; Zhu L, 2020, 'MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 688 - 697, http://dx.doi.org/10.1145/3394486.3403113
2020
Bai L; Yao L; Wang X; Kanhere SS; Xiao Y, 2020, 'Prototype Similarity Learning for Activity Recognition', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 649 - 661, http://dx.doi.org/10.1007/978-3-030-47426-3_50
2020
Wang X; Yao L; Liu W; Li C; Bai L; Waller ST, 2020, 'Mobility Irregularity Detection with Smart Transit Card Data', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 541 - 552, http://dx.doi.org/10.1007/978-3-030-47426-3_42
2020
Zhang L; Wang X; Yao L; Wu L; Zheng F, 2020, 'Zero-shot object detection via learning an embedding from semantic space to visual space', in IJCAI International Joint Conference on Artificial Intelligence, pp. 906 - 912
2020
Huang C; Yao L, 2020, 'Active Object Estimation for Human-Robot Collaborative Tasks', Online / Bangkok, Thailand, presented at The 27th International Conference on Neural Information Processing, Online / Bangkok, Thailand, 18 November 2020 - 22 November 2020, http://dx.doi.org/10.1007/978-3-030-63833-7_63
2020
Li Y; Liu Z; Yao L; He Z, 2020, 'Non-local Self-attentive Autoencoder for Genetic Functionality Prediction', in International Conference on Information and Knowledge Management, Proceedings, pp. 2117 - 2120, http://dx.doi.org/10.1145/3340531.3412084
2020
Yuan F; Yao L; Benatallah B, 2020, 'Exploring Missing Interactions: A Convolutional Generative Adversarial Network for Collaborative Filtering', in International Conference on Information and Knowledge Management, Proceedings, pp. 1773 - 1782, http://dx.doi.org/10.1145/3340531.3411917
2020
Li C; Bai L; Liu W; Yao L; Waller ST, 2020, 'Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network', in International Conference on Information and Knowledge Management, Proceedings, ACM, pp. 715 - 724, presented at CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, http://dx.doi.org/10.1145/3340531.3411965
2020
Tao Y; Wang C; Yao L; Li W; Yu Y, 2020, 'TRec: Sequential Recommender Based on Latent Item Trend Information', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207708
2020
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', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207111
2020
Zhang L; Wang X; Yao L; Zheng F, 2020, 'Zero-Shot Object Detection with Textual Descriptions Using Convolutional Neural Networks', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207417
2020
Zhang X; Yao L; Wang X; Zhang W; Zhang S; Liu Y, 2019, 'Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN', in 2019 IEEE International Conference on Data Mining (ICDM), IEEE, pp. 896 - 905, IEEE
2019
Li C; Bai L; Liu W; Yao L; Waller S, 2019, 'Passenger Demographic Attributes Prediction for Human-Centered Public Transport', in Gedeon T; Wong K; Lee M (eds.), International Conference on Neural Information Processing, Springer, Cham, Sydney, Australia, pp. 486 - 494, presented at International Conference on Neural Information Processing, Sydney, Australia, 12 December 2019 - 15 December 2019, http://dx.doi.org/10.1007/978-3-030-36808-1_53
2019
Yuan F; Yao L; Benatallah B, 2019, 'DARec: deep domain adaptation for cross-domain recommendation via transferring rating patterns', in IJCAI-19, Macao, China, pp. 4227 - 4233, presented at 28th International Joint Conference on Artificial Intelligence, August 10-16 2019, Macao, China, Macao, China, 10 August 2019 - 16 August 2019, http://dx.doi.org/10.24963/ijcai.2019/587
2019
Chen K; Yao L; Zhang D; Guo B; Yu Z, 2019, 'Multi-agent attentional activity recognition', in IJCAI International Joint Conference on Artificial Intelligence, Macao, China, pp. 1344 - 1350, presented at Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19) - August 10-16 2019, Macao, China, Macao, China, 10 August 2019 - 16 August 2019
2019
Chen X; Huang C; Zhang X; Wang X; Liu W; Yao L, 2019, 'Expert2Vec: Distributed Expert Representation Learning in Question Answering Community', in International Conference on Advanced Data Mining and Applications, Springer, pp. 288 - 301, presented at ADMA, Springer, 21 November 2019 - 23 November 2019, http://dx.doi.org/10.1007/978-3-030-35231-8_21
2019
Bai L; Yao L; Kanhere SS; Wang X; Sheng QZ, 2019, 'StG2seq: Spatial-temporal graph to sequence model for multi-step passenger demand forecasting', in IJCAI International Joint Conference on Artificial Intelligence, Macao, China, pp. 1981 - 1987, presented at Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019, Macao, China, 10 August 2019 - 16 August 2019
2019
Zhang S; Yao L; Tran LV; Zhang A; Tay Y, 2019, 'Quaternion collaborative filtering for recommendation', in IJCAI International Joint Conference on Artificial Intelligence, Macao, China, pp. 4313 - 4319, presented at 28th International Joint Conference on Artificial Intelligence - IJCAI-19 – August 10-16 2019, Macao, China, Macao, China, 10 August 2019 - 16 August 2019
2019
Bai L; Wang X; Yao L; Liu W; Kanhere SS; Yang Z, 2019, 'Spatio-temporal graph convolutional and recurrent networks for citywide passenger demand prediction', in International Conference on Information and Knowledge Management, Proceedings, pp. 2293 - 2296, http://dx.doi.org/10.1145/3357384.3358097
2019
Jia H; Wu Y; Liu J; Yao L; Hu W, 2019, 'Mobile golf swing tracking using deep learning with data fusion: Poster abstract', in SenSys 2019 - Proceedings of the 17th Conference on Embedded Networked Sensor Systems, pp. 422 - 423, http://dx.doi.org/10.1145/3356250.3361968
2019
Zhang X; Chen X; Yao L; Ge C; Dong M, 2019, 'Deep neural network hyperparameter optimization with orthogonal array tuning', in Communications in Computer and Information Science, pp. 287 - 295, http://dx.doi.org/10.1007/978-3-030-36808-1_31
2019
Chen K; Yao L; Zhang D; Chang X; Long G; Wang S, 2019, 'Distributionally robust semi-supervised learning for people-centric sensing', in 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, pp. 3321 - 3328
2019
Li Z; Yao L; Zhang X; Wang X; Kanhere S; Zhang H, 2019, 'Zero-shot object detection with textual descriptions', in 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, pp. 8690 - 8697
2019
Tay Y; Zhang S; Anh TL; Hui SC; Yao L; Tran DQV, 2019, 'Holographic Factorization Machines for Recommendation', in THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE, Honolulu, HI, pp. 5143 - 5150, presented at 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, Honolulu, HI, 27 January 2019 - 01 February 2019, http://dx.doi.org/10.1609/aaai.v33i01.33015143
2019
Zhang S; Tay Y; Yao L; Liu Q, 2019, 'Quaternion knowledge graph embeddings', in Advances in Neural Information Processing Systems, Vancouver, Canada, pp. 2731 - 2741, presented at 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, Dec 10-12, 2019, Vancouver, Canada, 10 December 2019 - 12 December 2019
2019
Dong M; Yao L; Wang X; Benatallah B; Huang C, 2019, 'Similarity-Aware Deep Attentive Model for Clickbait Detection', in Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, pp. 56 - 69, presented at PAKDD, Springer, 14 April 2019 - 17 April 2019, http://dx.doi.org/10.1007/978-3-030-16145-3_5
2019
Altulyan MS; Huang C; Yao L; Wang X; Kanhere S; Cao Y, 2019, 'Reminder Care System: An Activity-Aware Cross-Device Recommendation System', in International Conference on Advanced Data Mining and Applications, Springer, pp. 207 - 220, presented at ADMA, Springer, 21 November 2019 - 23 November 2019, http://dx.doi.org/10.1007/978-3-030-35231-8_15
2019
Yuan F; Yao L; Benatallah B, 2019, 'DARec: Deep domain adaptation for cross-domain recommendation via transferring rating patterns', in IJCAI International Joint Conference on Artificial Intelligence, Macao, China, pp. 4227 - 4233, presented at 28th International Joint Conference on Artificial Intelligence IJCAI-19, Macao, China, 10 August 2019
2019
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', in IJCAI International Joint Conference on Artificial Intelligence, Macao, China, pp. 3015 - 3022, presented at 28th International Joint Conference on Artificial Intelligence - IJCAI-19 – August 10-16 2019, Macao, China, Macao, China, 10 August 2019 - 16 August 2019
2019
Zhang X; Yao L; Yuan F, 2019, 'Adversarial variational embedding for robust semi-supervised learning', in Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 139 - 147, http://dx.doi.org/10.1145/3292500.3330966
2019
Zhang D; Chen K; Jian D; Yao L; Wang S; Li P, 2019, 'Learning attentional temporal cues of brainwaves with spatial embedding for motion intent detection', in Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 1450 - 1455, http://dx.doi.org/10.1109/ICDM.2019.00189
2019
Wang M; Shen H; Wang S; Yao L; Jiang Y; Qi G; Chen Y, 2019, 'Learning to hash for efficient search over incomplete knowledge graphs', in Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 1360 - 1365, http://dx.doi.org/10.1109/ICDM.2019.00174
2019
Bai L; Yao L; Kanhere SS; Yang Z; Chu J; Wang X, 2019, 'Passenger demand forecasting with multi-task convolutional recurrent neural networks', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Macau, China, pp. 29 - 42, presented at 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, proceedings, Macau, China, 14 April 2019 - 17 April 2019, http://dx.doi.org/10.1007/978-3-030-16145-3_3
2019
Dong M; Yao L; Wang X; Benatallah B; Zhang X; Sheng QZ, 2019, 'Dual-stream Self-Attentive Random Forest for False Information Detection', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN.2019.8851765
2019
Bai L; Yao L; Kanhere SS; Wang X; Yang Z, 2019, 'Automatic Device Classification from Network Traffic Streams of Internet of Things', in Proceedings - Conference on Local Computer Networks, LCN, pp. 597 - 605, http://dx.doi.org/10.1109/LCN.2018.8638232
2019
Lin X; Buyya R; Yang L; Tari Z; Choo KKR; Vlassov V; Yao L; Yin H; Wang W, 2019, 'Message from the BDCloud 2018 Chairs', in Proceedings - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018, pp. XXIX - XXX, http://dx.doi.org/10.1109/BDCloud.2018.00009
2019
Yuan F; Yao L; Benatallah B, 2019, 'Adversarial collaborative neural network for robust recommendation', in SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1065 - 1068, http://dx.doi.org/10.1145/3331184.3331321
2019
Zhang S; Tay Y; Yao L; Wu B; Sun A, 2019, 'Deeprec: An open-source toolkit for deep learning based recommendation', in IJCAI International Joint Conference on Artificial Intelligence, Macao, China, pp. 6581 - 6583, presented at 28th International Joint Conference on Artificial Intelligence IJCAI-19, Macao, China, 10 August 2019
2019
Yuan F; Yao L; Benatallah B, 2019, 'Adversarial Collaborative Auto-encoder for Top-N Recommendation', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN.2019.8851902
2019
Zhang X; Yao L; Wang X; Zhang W; Zhang S; Liu Y, 2019, 'Know your mind: Adaptive cognitive activity recognition with reinforced CNN', in Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 896 - 905, http://dx.doi.org/10.1109/ICDM.2019.00100
2019
Zhang D; Yao L; Chen K; Long G; Wang S, 2019, 'Collective protection: Preventing sensitive inferences via integrative transformation', in Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 1498 - 1503, http://dx.doi.org/10.1109/ICDM.2019.00197
2019
Chen K; Yao L; Wang X; Zhang D; Gu T; Yu Z; Yang Z, 2018, 'Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN.2018.8489767
2018
Dong M; Yao L; Wang X; Benatallah B; Sheng QZ; Huang H, 2018, 'DUAL: A Deep Unified Attention Model with Latent Relation Representations for Fake News Detection', in Hacid H; Cellary W; Wang H; Paik H-Y; Zhou R (eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, Cham, Dubai, United Arab Emirates, pp. 199 - 209, presented at International Conference on Web Information Systems Engineering : WISE 2018, Dubai, United Arab Emirates, 12 November 2018 - 15 November 2018, http://dx.doi.org/10.1007/978-3-030-02922-7_14
2018
Zhang D; Yao L; Wang S; Chen K; Yang Z; Benatallah B, 2018, 'Fuzzy integral optimization with deep Q-network for EEG-based intention recognition', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 156 - 168, http://dx.doi.org/10.1007/978-3-319-93034-3_13
2018
Pessoa MAO; Pisching MA; Yao L; Junqueira F; Miyagi PE; Benatallah B, 2018, 'Industry 4.0, how to integrate legacy devices: A cloud IoT approach', in Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, pp. 2902 - 2907, http://dx.doi.org/10.1109/IECON.2018.8592774
2018
Chu J; Qian K; Wang X; Yao L; Xiao F; Li J; Miao X; Yang Z, 2018, 'Passenger demand prediction with cellular footprints', in 2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018, pp. 1 - 9, http://dx.doi.org/10.1109/SAHCN.2018.8397114
2018
Chen W; Wang S; Long G; Yao L; Sheng QZ; Li X, 2018, 'Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit', in Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 917 - 922, http://dx.doi.org/10.1109/ICDM.2018.00111
2018
Li Z; Yao L; Nie F; Zhang D; Xu M, 2018, 'Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification', in 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, AAAI Conference on Artificial Intelligence, pp. 7081 - 7088, presented at AAAI Conference on Artificial Intelligence, https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16808
2018
Pan S; Hu R; Long G; Jiang J; Yao L; Zhang C, 2018, 'Adversarially Regularized Graph Autoencoder for Graph Embedding', in Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI-18, International Joint Conferences on Artificial Intelligence Organization, pp. 2609 - 2615, http://dx.doi.org/10.24963/ijcai.2018/362
2018
Zhang D; Yao L; Zhang X; Wang S; Chen W; Boots R; Benatallah B, 2018, 'Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface', in 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, AAAI Conference on Artificial Intelligence, Hilton New Orleans Riverside, USA, pp. 1703 - 1710, presented at Thirty-Second AAAI Conference on Artificial Intelligence, Hilton New Orleans Riverside, USA, 02 February 2018 - 02 February 2018, https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16107
2018
Zhang S; Yao L; Sun A; Wang S; Long G; Dong M, 2018, 'NeuRec: On Nonlinear Transformation for Personalized Ranking', in Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI-18, International Joint Conferences on Artificial Intelligence Organization, pp. 3669 - 3675, http://dx.doi.org/10.24963/ijcai.2018/510
2018
Zhang X; Yao L; Sheng QZ; Kanhere SS; Gu T; Zhang D, 2018, 'Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals', in 2018 IEEE International Conference on Pervasive Computing and Communications, PerCom 2018, http://dx.doi.org/10.1109/PERCOM.2018.8444575
2018
Chen W; Wang S; Zhang X; Yao L; Yue L; Qian B; Li X, 2018, 'EEG-based motion intention recognition via multi-task RNNs', in Pedreschi D; Ester M (ed.), SIAM International Conference on Data Mining, SDM 2018, Society for Industrial and Applied Mathematics, San Diego, CA, pp. 279 - 287, presented at 2018 SIAM International Conference on Data Mining, SDM 2018,, San Diego, CA, 03 May 2018 - 05 May 2018, http://dx.doi.org/10.1137/1.9781611975321.32
2018
Zhang X; Yao L; Huang C; Wang S; Tan M; Long G; Wang C, 2018, 'Multi-modality Sensor Data Classification with Selective Attention', in the 27th International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, pp. 3111 - 3117, http://dx.doi.org/10.24963/ijcai.2018/432
2018
Zhang S; Yao L; Ning X; Huang C; Xu X; Ou S, 2018, 'Coupled Linear and Deep Nonlinear Method for Meetup Service Recommendation', in International Conference on Web Services, Springer, pp. 246 - 260, Springer, http://dx.doi.org/10.1007/978-3-319-94289-6_16
2018
Huang C; Yao L; Wang X; Benatallah B; Zhang S; Dong M, 2018, 'Expert recommendation via tensor factorization with regularizing hierarchical topical relationships', in International Conference on Service-Oriented Computing, Springer, Cham, pp. 373 - 387, Springer, Cham, http://dx.doi.org/10.1007/978-3-030-03596-9_27
2018
Wang B; Chen S; Yao L; Liu B; Xu X; Zhu L, 2018, 'A simulation approach for studying behavior and quality of blockchain networks', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Seattle, WA, USA, pp. 18 - 31, presented at International Conference on Blockchain, ICBC 2018, Seattle, WA, USA, 25 June 2018 - 30 June 2018, http://dx.doi.org/10.1007/978-3-319-94478-4_2
2018
Ning X; Yao L; Wang X; Benatallah B; Zhang S; Zhang X, 2018, 'Data-augmented regression with generative convolutional network', in Hacid H; Cellary W; Wang H; Paik H-Y; Zhou R (eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, Cham, Dubai, United Arab Emirates, pp. 301 - 311, presented at International Conference on Web Information Systems Engineering : WISE 2018, Dubai, United Arab Emirates, 12 November 2018 - 15 November 2018, http://dx.doi.org/10.1007/978-3-030-02925-8_21
2018
Zhang D; Chen K; Yao L; Wang S, 2018, 'Ready for use: Subject-independent movement intention recognition via a convolutional attention model', in International Conference on Information and Knowledge Management, Proceedings, ACM, Torino, Italy, pp. 1763 - 1766, presented at 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), Torino, Italy, 22 October 2018 - 26 October 2018, http://dx.doi.org/10.1145/3269206.3269259
2018
Boroujeni FR; Wang S; Li Z; West N; Stantic B; Yao L; Long G, 2018, 'Trace Ratio Optimization With Feature Correlation Mining for Multiclass Discriminant Analysis', in 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, AAAI Conference on Artificial Intelligence, pp. 2746 - 2753, presented at AAAI Conference on Artificial Intelligence, https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17259
2018
Zhang Y; Yao L, 2018, 'Mining POI alias from microblog conversations', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 425 - 436, http://dx.doi.org/10.1007/978-3-319-93034-3_34
2018
Fang XS; Sheng QZ; Wang X; Barhamgi M; Yao L; Ngu AHH, 2017, 'SourceVote: Fusing multi-valued data via inter-source agreements', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Valencia, Spain, pp. 164 - 172, presented at International Conference on Conceptual Modeling, Valencia, Spain, 06 November 2017 - 09 November 2017, http://dx.doi.org/10.1007/978-3-319-69904-2_13
2017
Ning X; Yao L; Wang X; Benatallah B, 2017, 'Calling for response: Automatically distinguishing situation-aware tweets during crises', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Singapore, pp. 195 - 208, presented at 13th International Conference, ADMA 2017, Singapore, 05 November 2017 - 06 November 2017, http://dx.doi.org/10.1007/978-3-319-69179-4_14
2017
Zhang X; Yao L; Zhang D; Wang X; Sheng QZ; Gu T, 2017, 'Multi-person brain activity recognition via comprehensive EEG signal analysis', in ACM International Conference Proceeding Series, pp. 28 - 37, http://dx.doi.org/10.1145/3144457.3144477
2017
Ngu A; Wu Y; Zare H; Polican A; Yarbrough B; Yao L, 2017, 'Fall detection using smartwatch sensor data with accessor architecture', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Hong Kong, China, pp. 81 - 93, presented at International Conference, ICSH 2017, Hong Kong, China, 26 June 2017 - 27 June 2017, http://dx.doi.org/10.1007/978-3-319-67964-8_8
2017
Zhang S; Yao L; Xu X; Wang S; Zhu L, 2017, 'Hybrid collaborative recommendation via Semi-AutoEncoder', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Guangzhou, China, pp. 185 - 193, presented at 24th International Conference, ICONIP 2017, Guangzhou, China, 14 November 2017 - 18 November 2017, http://dx.doi.org/10.1007/978-3-319-70087-8_20
2017
Huang C; Yao L; Wang X; Benatallah B; Sheng QZ, 2017, 'Expert as a Service: Software Expert Recommendation via Knowledge Domain Embeddings in Stack Overflow', in Web Services (ICWS), 2017 IEEE The 24th International Conference on, Honolulu, HI, USA, pp. 317 - 324, presented at 2017 IEEE International Conference on Web Services (ICWS), Honolulu, HI, USA, 25 June 2017 - 30 June 2017, http://dx.doi.org/10.1109/ICWS.2017.122
2017
Li C; He R; Yao L; Tao C, 2017, 'Gait optimization for multiple humanoid robots based on parallel multi-swarm particle swarm algorithm', in ACM International Conference Proceeding Series, pp. 11 - 19, http://dx.doi.org/10.1145/3144457.3144466
2017
Zhang X; Yao L; Huang C; Sheng QZ; Wang X, 2017, 'Intent recognition in smart living through deep recurrent neural networks', in International Conference on Neural Information Processing, Springer, pp. 748 - 758, presented at 24th International Conference, ICONIP 2017, Springer, 14 November 2017 - 18 November 2017, http://dx.doi.org/10.1007/978-3-319-70096-0_76
2017
Salama U; Yao L; Wang X; Paik HY; Beheshti A, 2017, 'Multi-Level Privacy-Preserving Access Control as a Service for Personal Healthcare Monitoring', in Proceedings - 2017 IEEE 24th International Conference on Web Services, ICWS 2017, Honolulu, HI, USA, pp. 878 - 881, presented at 2017 IEEE International Conference on Web Services (ICWS), Honolulu, HI, USA, 25 June 2017 - 30 June 2017, http://dx.doi.org/10.1109/ICWS.2017.111
2017
Tran NK; Sheng QZ; Babar MA; Yao L, 2017, 'A Kernel-based approach to developing adaptable and reusable sensor retrieval systems for the web of things', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Puschino, Russia, pp. 315 - 329, presented at Web Information Systems Engineering – WISE 2017 - 18th International Conference, Puschino, Russia, 07 October 2017 - 11 October 2017, http://dx.doi.org/10.1007/978-3-319-68783-4_22
2017
Triguero I; He Q; Yao L, 2017, 'Message from the IEEE BigDataSE 2017 Program Chairs', in Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017, Sydney, NSW, Australia, pp. xxvii - xxvii, presented at 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, NSW, Australia, 01 August 2017 - 04 August 2017, http://dx.doi.org/10.1109/Trustcom/BigDataSE/ICESS.2017.195
2017
Qi G; Yao L; Uzunov AV, 2017, 'Fault detection and localization in distributed systems using recurrent convolutional neural networks', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Singapore, pp. 33 - 48, presented at 13th International Conference, ADMA 2017, Singapore, 05 November 2017 - 06 November 2017, http://dx.doi.org/10.1007/978-3-319-69179-4_3
2017
Xu P; Ruan W; Sheng QZ; Gu T; Yao L, 2017, 'Interpolating the missing values for multi-dimensional spatial-temporal sensor data: A tensor SVD approach', in ACM International Conference Proceeding Series, pp. 442 - 451, http://dx.doi.org/10.1145/3144457.3144474
2017
Zhang S; Yao L; Xu X, 2017, 'Autosvd++: An efiicient hybrid collaborative filtering model via contractive auto-encoders', in SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, pp. 957 - 960, presented at SIGIR '17 Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, 07 August 2017 - 11 August 2017, http://dx.doi.org/10.1145/3077136.3080689
2017
Ruan W; Sheng QZ; Yao L; Yang L; Gu T, 2016, 'HOI-Loc: Towards unobstructive human localization with probabilistic multi-sensor fusion', in 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016, IEEE, Sydney, NSW, Australia, presented at 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), Sydney, NSW, Australia, 14 March 2016 - 18 March 2016, http://dx.doi.org/10.1109/PERCOMW.2016.7457055
2016
Wang X; Sheng QZ; Yao L; Li X; Fang XS; Xu X; Benatallah B, 2016, 'Empowering truth discovery with multi-truth prediction', in International Conference on Information and Knowledge Management, Proceedings, pp. 881 - 890, http://dx.doi.org/10.1145/2983323.2983767
2016
Ruan W; Sheng QZ; Yao L; Tran NK; Yang YC, 2016, 'PreventDark: Automatically detecting and preventing problematic use of smartphones in darkness', in 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016, IEEE, Sydney, NSW, Australia, presented at 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops, Sydney, NSW, Australia, 14 March 2016 - 18 March 2016, http://dx.doi.org/10.1109/PERCOMW.2016.7457071
2016
Yao L; Nie F; Sheng QZ; Gu T; Li X; Wang S, 2016, 'Learning from less for better: Semi-supervised activity recognition via shared structure discovery', in UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Heidelberg, Germany, pp. 13 - 24, presented at 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Heidelberg, Germany, 12 September 2016 - 16 September 2017, http://dx.doi.org/10.1145/2971648.2971701
2016
Zhang WE; Sheng QZ; Taylor K; Qin Y; Yao L, 2016, 'Learning-based SPARQL query performance prediction', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 313 - 327, http://dx.doi.org/10.1007/978-3-319-48740-3_23
2016
Ruan W; Chea L; Sheng QZ; Yao L, 2016, 'Recognizing daily living activity using embedded sensors in smartphones: A data-driven approach', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Gold Coast, QLD, Australia, pp. 250 - 265, presented at ADMA: 12th International Conference on Advanced Data Mining and Applications, Gold Coast, QLD, Australia, 12 December 2016 - 15 December 2016, http://dx.doi.org/10.1007/978-3-319-49586-6_17
2016
Alfazi A; Sheng QZ; Zhang WE; Yao L; Noor TH, 2016, 'Identification as a service: Large-scale cloud service discovery over the world wide web', in Proceedings - 2016 IEEE International Congress on Big Data, BigData Congress 2016, pp. 485 - 492, http://dx.doi.org/10.1109/BigDataCongress.2016.74
2016
Qin Y; Yao L; Sheng QZ, 2016, 'Approximate semantic matching over linked data streams', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Porto, Portugal, pp. 37 - 51, presented at DEXA 2016, Porto, Portugal, 05 September 2016 - 08 September 2016, http://dx.doi.org/10.1007/978-3-319-44406-2_5
2016
Ruan W; Sheng QZ; Yao L; Gu T; Ruta M; Shangguan L, 2016, 'Device-free indoor localization and tracking through Human-Object Interactions', in WoWMoM 2016 - 17th International Symposium on a World of Wireless, Mobile and Multimedia Networks, http://dx.doi.org/10.1109/WoWMoM.2016.7523524
2016
Zhang WE; Tan M; Sheng QZ; Yao L; Shi Q, 2016, 'Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold', in CIKM'16: PROCEEDINGS OF THE 2016 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, ASSOC COMPUTING MACHINERY, IUPUI, Indianapolis, IN, pp. 1743 - 1752, presented at 25th ACM International Conference on Information and Knowledge Management (CIKM), IUPUI, Indianapolis, IN, 24 October 2016 - 28 October 2016, http://dx.doi.org/10.1145/'2983323.2983761
2016
Yao L; Benatallah B; Wang X; Tran NK; Lu Q, 2016, 'Context as a service: Realizing internet of things-aware processes for the independent living of the elderly', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), SPRINGER INT PUBLISHING AG, Banff, CANADA, pp. 763 - 779, presented at 14th International Conference on Service-Oriented Computing (ICSOC), Banff, CANADA, 10 October 2016 - 13 October 2016, http://dx.doi.org/10.1007/978-3-319-46295-0_54
2016
Yao L; Sheng QZ; Li X; Wang S; Gu T; Ruan W; Zou W, 2016, 'Freedom: Online activity recognition via dictionary-based sparse representation of RFID sensing data', in Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 1087 - 1092, http://dx.doi.org/10.1109/ICDM.2015.102
2016
Zhang WE; Sheng QZ; Qin Y; Yao L; Shemshadi A; Taylor K, 2016, 'SECF: Improving SPARQL Querying performance with proactive fetching and Caching', in Proceedings of the ACM Symposium on Applied Computing, pp. 362 - 367, http://dx.doi.org/10.1145/2851613.2851846
2016
Wang X; Sheng QZ; Yao L; Li X; Fang XS; Xu X; Benatallah B, 2016, 'Truth discovery via exploiting implications from multi-source data', in International Conference on Information and Knowledge Management, Proceedings, ASSOC COMPUTING MACHINERY, IUPUI, Indianapolis, IN, pp. 861 - 870, presented at 25th ACM International Conference on Information and Knowledge Management (CIKM), IUPUI, Indianapolis, IN, 24 October 2016 - 28 October 2016, http://dx.doi.org/10.1145/2983323.2983791
2016
Wang S; Nie F; Chang X; Li X; Sheng QZ; Yao L, 2016, 'Uncovering locally discriminative structure for feature analysis', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 281 - 295, http://dx.doi.org/10.1007/978-3-319-46128-1_18
2016
Yao L; Sheng QZ; Ruan W; Li X; Wang S; Yang Z, 2016, 'Unobtrusive posture recognition via online learning of multi-dimensional RFID received signal strength', in Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS, pp. 116 - 123, http://dx.doi.org/10.1109/ICPADS.2015.23
2016
Zhang WE; Tan M; Sheng QZ; Yao L; Shi Q, 2016, 'Efficient orthogonal non-negative matrix factorization over stiefel manifold', in International Conference on Information and Knowledge Management, Proceedings, Indianapolis, Indiana, USA, pp. 1743 - 1752, presented at 25th ACM International on Conference on Information and Knowledge Management, Indianapolis, Indiana, USA, 24 October 2016 - 28 October 2016, http://dx.doi.org/10.1145/2983323.2983761
2016
Madi BMA; Sheng QZ; Yao L; Qin Y; Wang X, 2016, 'PLMwsp: Probabilistic latent model for web service QoS prediction', in Proceedings - 2016 IEEE International Conference on Web Services, ICWS 2016, San Francisco, CA, USA, pp. 623 - 630, presented at 2016 IEEE International Conference on Web Services (ICWS), San Francisco, CA, USA, 27 June 2016 - 02 July 2016, http://dx.doi.org/10.1109/ICWS.2016.86
2016
Wang X; Sheng QZ; Fang XS; Yao L; Xu X; Li X, 2015, 'An integrated Bayesian approach for effective multi-truth discovery', in International Conference on Information and Knowledge Management, Proceedings, pp. 493 - 502, http://dx.doi.org/10.1145/2806416.2806443
2015
Shemshadi A; Yao L; Qin Y; Sheng QZ; Zhang Y, 2015, 'ECS: A Framework for diversified and relevant search in the Internet of things', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 448 - 462, http://dx.doi.org/10.1007/978-3-319-26190-4_30
2015
Yao L; Wang X; Sheng QZ; Ruan W; Zhang W, 2015, 'Service Recommendation for Mashup Composition with Implicit Correlation Regularization', in Proceedings - 2015 IEEE International Conference on Web Services, ICWS 2015, pp. 217 - 224, http://dx.doi.org/10.1109/ICWS.2015.38
2015
Wang X; Sheng QZ; Fang XS; Li X; Xu X; Yao L, 2015, 'Approximate truth discovery via problem scale reduction', in International Conference on Information and Knowledge Management, Proceedings, pp. 503 - 512, http://dx.doi.org/10.1145/2806416.2806444
2015
Wang S; Nie F; Chang X; Yao L; Li X; Sheng QZ, 2015, 'Unsupervised feature analysis with class margin optimization', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 383 - 398, http://dx.doi.org/10.1007/978-3-319-23528-8_24
2015
Yao L; Xie X; Zhang Q; Yang LT; Zomaya AY; Jin H, 2015, 'Advances in services computing: 9th Asia-Pacific services computing conference, APSCC 2015 Bangkok, Thailand, December 7-9, 2015 proceedings', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), http://dx.doi.org/10.1007/978-3-319-26979-5
2015
Yao L; Sheng QZ; Qin Y; Wang X; Shemshadi A; He Q, 2015, 'Context-aware point-of-interest recommendation using Tensor Factorization with social regularization', in SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1007 - 1010, http://dx.doi.org/10.1145/2766462.2767794
2015
Yao L; Sheng QZ; Ruan W; Gu T; Li X; Falkner NJG; Yang Z, 2015, 'RF-care: Device-free posture recognition for elderly people using a passive RFID tag array', in Proceedings of the 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015, pp. 110 - 119, http://dx.doi.org/10.4108/icst.mobiquitous.2015.260064
2015
Yao L; Sheng QZ; Ngu AHH; Ashman H; Li X, 2014, 'Exploring recommendations in Internet of Things', in SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 855 - 858, http://dx.doi.org/10.1145/2600428.2609458
2014
Yao L; Sheng QZ; Falkner NJG; Ngu AHH, 2014, 'ThingsNavi: Finding most-related things via multi-dimensional modeling of human-thing interactions', in MobiQuitous 2014 - 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, pp. 20 - 29, http://dx.doi.org/10.4108/icst.mobiquitous.2014.258007
2014
Ruan W; Yao L; Sheng QZ; Falkner NJG; Li X, 2014, 'TagTrack: Device-free localization and tracking using passive RFID tags', in MobiQuitous 2014 - 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, pp. 80 - 89, http://dx.doi.org/10.4108/icst.mobiquitous.2014.258004
2014
Yao L; Sheng QZ; Ngu AHH; Gao B, 2014, 'Keeping you in the loop: Enabling web-based things management in the Internet of Things', in CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management, pp. 2027 - 2029, http://dx.doi.org/10.1145/2661829.2661838
2014
Ngu AHH; Ma J; Sheng QZ; Yao L; Julian S, 2014, 'ServiceXplorer: A similarity-based Web service search engine', in SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1251 - 1252, http://dx.doi.org/10.1145/2600428.2611179
2014
Yao L; Ruan W; Sheng QZ; Li X; Falkner NJG, 2014, 'Exploring tag-free RFID-based passive localization and tracking via learning-based probabilistic approaches', in CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management, pp. 1799 - 1802, http://dx.doi.org/10.1145/2661829.2661873
2014
Yao L; Sheng QZ, 2013, 'Correlation discovery in web of things', in WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web, pp. 215 - 216, http://dx.doi.org/10.1145/2487788.2487898
2013
Yao L; Mathew SS; Ruta M, 2013, 'Preface', in Procedia Computer Science, pp. 1129, http://dx.doi.org/10.1016/j.procs.2013.06.159
2013
Yao L; Sheng QZ; Gao BJ; Ngu AHH; Li X, 2013, 'A model for discovering correlations of ubiquitous things', in Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 1253 - 1258, http://dx.doi.org/10.1109/ICDM.2013.87
2013
Yao L; Sheng QZ; Segev A; Yu J, 2013, 'Recommending web services via combining collaborative filtering with content-based features', in Proceedings - IEEE 20th International Conference on Web Services, ICWS 2013, pp. 42 - 49, http://dx.doi.org/10.1109/ICWS.2013.16
2013
Maamar Z; Faci N; Sheng QZ; Yao L, 2012, 'Towards a user-centric social approach to web services composition, execution, and monitoring', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 72 - 86, http://dx.doi.org/10.1007/978-3-642-35063-4_6
2012
Zheng Z; Wang H; Yao L, 2012, 'An Artificial Bee Colony Optimization algorithm for multicast routing', in International Conference on Advanced Communication Technology, ICACT, pp. 168 - 172
2012
Yao L, 2012, 'A propagation model for integrating web of things and social networks', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 233 - 238, http://dx.doi.org/10.1007/978-3-642-31875-7_28
2012
Wu Y; Sheng QZ; Ranasinghe D; Yao L, 2012, 'PeerTrack: A platform for tracking and tracing objects in large-scale traceability networks', in ACM International Conference Proceeding Series, pp. 586 - 589, http://dx.doi.org/10.1145/2247596.2247672
2012
Yao L; Sheng QZ, 2012, 'Exploiting latent relevance for relational learning of ubiquitous things', in ACM International Conference Proceeding Series, pp. 1547 - 1551, http://dx.doi.org/10.1145/2396761.2398470
2012
Yao L; Sheng QZ, 2012, 'A tag-centric discriminative model for web objects classification', in ACM International Conference Proceeding Series, pp. 2247 - 2250, http://dx.doi.org/10.1145/2396761.2398612
2012
Yao L; Sheng QZ, 2011, 'Particle filtering based availability prediction for web services', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 566 - 573, http://dx.doi.org/10.1007/978-3-642-25535-9_42
2011
Book Chapters
add
Yao L; Sheng QZ; Ngu AHH; Li X; Benatallah B; Wang X, 2017, 'Building Entity Graphs for the Web of Things Management', in Managing the Web of Things: Linking the Real World to the Web, Elsevier, pp. 275 - 303, http://dx.doi.org/10.1016/B978-0-12-809764-9.00013-5
2017
Books
add
Sheng QZ; Qin Y; Yao L; Benatallah B, 2017, Preface, http://dx.doi.org/10.1016/B978-0-12-809764-9.00026-3
2017
Sheng QZ; Qin Y; Yao L; Benatallah B, 2017, Managing the Web of Things: Linking the Real World to the Web
2017
Yao L; Xie X; Zhang Q; Yang LT; Zomaya AY; Jin H, 2015, Preface
2015

 

 

Machine Learning, Artificial Intelligence, Recommender Systems, Internet of Things, Brain Computer Interface, Human Machine Interactions