Associate Professor Lina Yao
Associate Professor

Associate Professor Lina Yao

PhD - University of Adelaide. 2014

 

Engineering
Computer Science and Engineering

A/Prof. Lina Yao is Scientia Associate Professor and Acting Associate Head of School (Research) in the School of Computer Science and Engineering. She is leading the research group Data Dynamics Lab (D2 Lab) founded in 2016. We strive for developing generalizable and explainable data-efficient data mining, machine learning and deep learning algorithms—as well as designing systems and interfaces—to enable novel ways of human-machine interactions, including an improved understanding of challenges such as robustness, trust, explainability and resilience that improve human-autonomy partnership.

Her research area is in Few-Shot Learning, Zero-Shot Learning, Deep Reinforcement Learning, Meta-Learning, Neural Process, Self-supervised Learning, Graph Neural Networks and their applications in a broad range of applications in Recommender Systems, Computer Vision, Brain-Computer Interface, Biomedical Image Analysis, Intelligent Transportation System, and Internet of Things. She maintains a strong international research collaboration with world-leading universities such as Stanford University, Tsinghua University, UCSD, TU Wien etc. She is serving as Associate Editor for ACM Transactions on Sensor Networks (ACM TOSN), Knowledge-based Systems (KNOSYS) and Section of Recommender Systems of Frontiers in Big Data. She has over 200 peer-reviewed publications both in international leading conferences and journals including NeurIPS, SIGKDD, WWW, SIGIR, ICDM, CVPR, UbiComp, AAAI, IJCAI etc.

Personal website - https://www.linayao.com/

  • Books | 2017
    Sheng QZ; Qin Y; Yao L; Benatallah B, 2017, Managing the Web of Things: Linking the Real World to the Web
    Books | 2017
    Sheng QZ; Qin Y; Yao L; Benatallah B, 2017, Preface, http://dx.doi.org/10.1016/B978-0-12-809764-9.00026-3
    Books | 2015
    Yao L; Xie X; Zhang Q; Yang LT; Zomaya AY; Jin H, 2015, Preface
  • Book Chapters | 2022
    Altulyan MS; Huang C; Yao L; Wang X; Kanhere S, 2022, 'Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment', in Lecture Notes in Computer Science, Springer International Publishing, pp. 393 - 404, http://dx.doi.org/10.1007/978-3-030-97546-3_32
    Book Chapters | 2021
    Barukh MC; Zamanirad S; Baez M; Beheshti A; Benatallah B; Casati F; Yao L; Sheng QZ; Schiliro F, 2021, 'Cognitive Augmentation in Processes', in Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future, pp. 123 - 137, http://dx.doi.org/10.1007/978-3-030-73203-5_10
    Book Chapters | 2021
    Chen X; Yao L; Zhang Y, 2021, 'RAU: An Interpretable Automatic Infection Diagnosis of COVID-19 Pneumonia with Residual Attention U-Net', in Web Information Systems Engineering – WISE 2021, Springer International Publishing, pp. 122 - 136, http://dx.doi.org/10.1007/978-3-030-91560-5_9
    Book Chapters | 2021
    Fang Z; Qu M; Zhang S; Zhang J; Yuan Y; Yao L; Chen S, 2021, 'HFM++: An Enhanced Holographic Factorization Machine for Recommendation', in Data Mining, Springer Singapore, pp. 72 - 85, http://dx.doi.org/10.1007/978-981-16-8531-6_6
    Book Chapters | 2021
    Wang X; Yao L; Wang X; Nie F; Benatallah B, 2021, 'NP-PROV: Neural Processes with Position-Relevant-Only Variances', in Web Information Systems Engineering – WISE 2021, Springer International Publishing, pp. 129 - 142, http://dx.doi.org/10.1007/978-3-030-90888-1_11
    Book Chapters | 2019
    Zhang S; Yao L; Sun A; Guo G; Xu X; Zhu L, 2019, 'Deep neural networks meet recommender systems', in Khalid O; Khan SU; Zomaya AY (ed.), Big Data Recommender Systems: Application Paradigms, INST ENGINEERING TECH-IET, pp. 9 - 33, http://dx.doi.org/10.1049/PBPC035G_ch2
    Book Chapters | 2018
    Fang XS; Sheng QZ; Wang X; Barhamgi M; Yao L; Ngu AHH, 2018, 'Correction to: SourceVote: Fusing Multi-valued Data via Inter-source Agreements', in Conceptual Modeling, Springer International Publishing, pp. E1 - E1, http://dx.doi.org/10.1007/978-3-319-69904-2_40
    Book Chapters | 2017
    Sheng QZ; Qin Y; Yao L; Benatallah B, 2017, 'Preface', in Managing the Web of Things, pp. xvii - xviii, http://dx.doi.org/10.1016/b978-0-12-809764-9.00026-3
    Book Chapters | 2017
    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
    Book Chapters | 2017
    Yao L; Sheng QZ; Ngu AHH; Li X; Benatallah B; Wang X, 2017, 'Chapter 10 Building Entity Graphs for the Web of Things Management', in Managing the Web of Things, pp. 275 - 303, http://dx.doi.org/10.1016/b978-0-12-809764-9.00013-5
  • Journal articles | 2022
    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, vol. 157, pp. 112 - 118, http://dx.doi.org/10.1016/j.patrec.2022.03.022
    Journal articles | 2022
    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, vol. 21, pp. 252 - 263, http://dx.doi.org/10.1109/TMC.2020.3005240
    Journal articles | 2022
    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, vol. 249, pp. 108954 - 108954, http://dx.doi.org/10.1016/j.knosys.2022.108954
    Journal articles | 2022
    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, vol. 25, pp. 49 - 72, http://dx.doi.org/10.1007/s11280-021-00964-6
    Journal articles | 2022
    Li Q; Yu Z; Yao L; Guo B, 2022, 'RLTIR: Activity-Based Interactive Person Identification via Reinforcement Learning Tree', IEEE Internet of Things Journal, vol. 9, pp. 4464 - 4475, http://dx.doi.org/10.1109/JIOT.2021.3104024
    Journal articles | 2022
    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, pp. 1 - 1, http://dx.doi.org/10.1109/TCSVT.2022.3147902
    Journal articles | 2022
    Liu Z; Li Y; Yao L; McAuley J; Dixon S, 2022, 'Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning', IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, http://dx.doi.org/10.1109/TNNLS.2022.3176282
    Journal articles | 2022
    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, vol. 235, http://dx.doi.org/10.1016/j.knosys.2021.107665
    Journal articles | 2022
    Salama U; Yao L; Paik HY, 2022, 'A Multilevel Collective Framework for Internet of Things Digital Forensic Investigation', Computer, vol. 55, pp. 44 - 53, http://dx.doi.org/10.1109/MC.2021.3095492
    Journal articles | 2022
    Wang S; Cao Y; Chen X; Yao L; Wang X; Sheng QZ, 2022, 'Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems.', Front Big Data, vol. 5, pp. 822783, http://dx.doi.org/10.3389/fdata.2022.822783
    Journal articles | 2022
    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, http://dx.doi.org/10.1109/JIOT.2022.3151400
    Journal articles | 2022
    Zhang L; Chang X; Liu J; Luo M; Li Z; Yao L; Hauptmann A, 2022, 'TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection.', IEEE Trans Pattern Anal Mach Intell, vol. PP, http://dx.doi.org/10.1109/TPAMI.2022.3183586
    Journal articles | 2021
    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, vol. 13, pp. 305 - 305, http://dx.doi.org/10.3390/fi13120305
    Journal articles | 2021
    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
    Journal articles | 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
    Journal articles | 2021
    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
    Journal articles | 2021
    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
    Journal articles | 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
    Journal articles | 2021
    Dong M; Yao L; Wang X; Benatallah B; Zhang S; Sheng QZ, 2021, 'Gradient Boosted Neural Decision Forest', IEEE Transactions on Services Computing, pp. 1 - 1, http://dx.doi.org/10.1109/TSC.2021.3133673
    Journal articles | 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
    Journal articles | 2021
    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
    Journal articles | 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
    Journal articles | 2021
    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
    Journal articles | 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
    Journal articles | 2021
    Li Y; Liu Z; Yao L; Chang X, 2021, 'Attribute-Modulated Generative Meta Learning for Zero-shot Learning', IEEE Transactions on Multimedia, http://dx.doi.org/10.1109/TMM.2021.3139211
    Journal articles | 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
    Journal articles | 2021
    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
    Journal articles | 2021
    Shah SW; Kanhere SS; Zhang J; Yao L, 2021, 'VID: Human identification through vein patterns captured from commodity depth cameras', IET Biometrics, vol. 10, pp. 142 - 162, http://dx.doi.org/10.1049/bme2.12009
    Journal articles | 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
    Journal articles | 2021
    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
    Journal articles | 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
    Journal articles | 2021
    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, vol. 234, http://dx.doi.org/10.1016/j.knosys.2021.107595
    Journal articles | 2021
    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
    Journal articles | 2021
    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
    Journal articles | 2021
    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
    Journal articles | 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
    Journal articles | 2020
    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
    Journal articles | 2020
    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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 2020
    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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 2020
    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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 2019
    Chen K; Yao L; Zhang D; Guo B; Yu Z, 2019, 'Multi-agent attentional activity recognition',
    Journal articles | 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
    Journal articles | 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
    Journal articles | 2019
    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
    Journal articles | 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
    Journal articles | 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',
    Journal articles | 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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 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
    Journal articles | 2018
    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
    Journal articles | 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
    Journal articles | 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
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    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
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    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
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    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
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    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
    Journal articles | 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
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    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
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    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, vol. 2, pp. 1 - 23, http://dx.doi.org/10.1145/3264959
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    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
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    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
    Journal articles | 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
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    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
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    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
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    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
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    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
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    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
    Journal articles | 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
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    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
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    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
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    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
    Journal articles | 2015
    Sheng QZ; Vasilakos AV; Yu Q; Yao L, 2015, 'Guest Editorial: Big Data Analytics and the Web', IEEE Transactions on Big Data, vol. 1, pp. 123 - 124, http://dx.doi.org/10.1109/tbdata.2016.2518778
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    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
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    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
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    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
    Journal articles | 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 LNCS, pp. 256 - 265, http://dx.doi.org/10.1007/978-3-319-11749-2_20
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    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
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    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
    Journal articles | 2012
    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
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    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)
  • Preprints | 2022
    Li C; Bai L; Liu W; Yao L; Waller ST, 2022, Unsupervised Knowledge Adaptation for Passenger Demand Forecasting
    Preprints | 2022
    Li Y; Liu Z; Yao L; Lucas M; Monaghan JJM; Zhang Y, 2022, Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus
    Preprints | 2022
    Liu Z; Li Y; Yao L; Monaghan JJM; McAlpine D, 2022, Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis
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    Yang C; Wang X; Yao L; Jiang J; Xu G, 2022, 'An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 3 - 14, http://dx.doi.org/10.1007/978-3-030-97546-3_1
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    Zhou G; Yao L; Xu X; Wang C; Zhu L, 2022, 'Cycle-Balanced Representation Learning For Counterfactual Inference', in Proceedings of the 2022 SIAM International Conference on Data Mining, SDM 2022, pp. 442 - 450
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    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
    Preprints | 2021
    Bouguettaya A; Sheng QZ; Benatallah B; Neiat AG; Mistry S; Ghose A; Nepal S; Yao L, 2021, An Internet of Things Service Roadmap
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    Chen X; Yao L; Sun A; Wang X; Xu X; Zhu L, 2021, 'Generative Inverse Deep Reinforcement Learning for Online Recommendation', in International Conference on Information and Knowledge Management, Proceedings, pp. 201 - 210, http://dx.doi.org/10.1145/3459637.3482347
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    Chen X; Yao L; Wang X; Sun A; Zhang W; Sheng QZ, 2021, Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference
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    Dong M; Yao L; Wang X; Xu X; Zhu L, 2021, 'MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning', in Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE, pp. 101 - 110, presented at 2021 IEEE International Conference on Data Mining (ICDM), 07 December 2021 - 10 December 2021, http://dx.doi.org/10.1109/ICDM51629.2021.00020
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    Jia H; Liu J; Wu Y; Bednarz T; Yao L; Hu W, 2021, 'Condor: Mobile golf swing tracking via sensor fusion using conditional generative adversarial networks', in International Conference on Embedded Wireless Systems and Networks
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    Li Z; Yao L, 2021, 'Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, pp. 4749 - 4758, presented at 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 20 June 2021 - 25 June 2021, http://dx.doi.org/10.1109/CVPR46437.2021.00472
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    Liu Z; Li Y; Yao L; Wang X; Long G, 2021, 'Task Aligned Generative Meta-learning for Zero-shot Learning', in 35th AAAI Conference on Artificial Intelligence, AAAI 2021, pp. 8723 - 8731
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    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
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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
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    Wang X; Yao L; Wang X; Paik HY; Wang S, 2021, 'Global Convolutional Neural Processes', in Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE, pp. 699 - 708, presented at 2021 IEEE International Conference on Data Mining (ICDM), 07 December 2021 - 10 December 2021, http://dx.doi.org/10.1109/ICDM51629.2021.00081
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    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
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    Altulyan M; Yao L; Wang X; Huang C; Kanhere SS; Sheng QZ, 2020, Recommender Systems for the Internet of Things: A Survey
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    Bai L; Yao L; Li C; Wang X; Wang C, 2020, 'Adaptive graph convolutional recurrent network for traffic forecasting', in Larochelle H; Ranzato M; Hadsell R; Balcan MF; Lin H (eds.), Advances in Neural Information Processing Systems, NEURAL INFORMATION PROCESSING SYSTEMS (NIPS), ELECTR NETWORK, presented at 34th Conference on Neural Information Processing Systems (NeurIPS), ELECTR NETWORK, 06 December 2020 - 12 December 2020, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000627697000037&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
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    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
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    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
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    Chen X; Huang C; Yao L; Wang X; Liu W; Zhang W, 2020, 'Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation', in arXiv preprint arXiv:2004.08068
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    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
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    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
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    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
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    Li C; Bai L; Liu W; Yao L; Waller ST, 2020, Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network
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    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
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    Li Y; Long G; Shen T; Zhou T; Yao L; Huo H; Jiang J, 2020, 'Self-attention enhanced selective gate with entity-aware embedding for distantly supervised relation extraction', in AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, pp. 8269 - 8276
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    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
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    Liu Z; Li Y; Yao L; Wang X; Nie F, 2020, Agglomerative Neural Networks for Multi-view Clustering
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    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
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    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
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    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
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    Wang W; Wang M; Wang S; Long G; Yao L; Qi G; Chen Y, 2020, 'One-shot learning for long-tail visual relation detection', in AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, pp. 12225 - 12232
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    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
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    Wang X; Yao L; Wang X; Nie F, 2020, NP-PROV: Neural Processes with Position-Relevant-Only Variances
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    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
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    Zhang C; Song Y; Yao L; Cai W, 2020, 'Shape-oriented convolution neural network for point cloud analysis', in AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, pp. 12773 - 12780
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    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
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    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
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    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
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    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
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    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
    Preprints | 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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    Li Z; Liu W; Chang X; Yao L; Prakash M; Zhang H, 2019, 'Domain-Aware Unsupervised Cross-dataset Person Re-identification', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 406 - 420, http://dx.doi.org/10.1007/978-3-030-35231-8_29
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
    Conference Papers | 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
    Preprints | 2019
    Yuan F; Yao L; Benatallah B, 2019, DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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 2019 IEEE International Conference on Data Mining (ICDM), IEEE, pp. 896 - 905, IEEE
    Conference Papers | 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
    Conference Papers | 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
    Preprints | 2018
    Bai L; Yao L; Kanhere SS; Wang X; Yang Z, 2018, Automatic Device Classification from Network Traffic Streams of Internet of Things
    Conference Papers | 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
    Conference Papers | 2018
    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
    Conference Papers | 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
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    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
    Conference Papers | 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
    Preprints | 2018
    Dong M; Yao L; Wang X; Benatallah B; Huang C; Ning X, 2018, Opinion Fraud Detection via Neural Autoencoder Decision Forest
    Conference Papers | 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
    Preprints | 2018
    Gao C; He X; Gan D; Chen X; Feng F; Li Y; Chua T-S; Yao L; Song Y; Jin D, 2018, Learning to Recommend with Multiple Cascading Behaviors
    Conference Papers | 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
    Preprints | 2018
    Huang C; Yao L; Wang X; Benatallah B; Zhang S; Dong M, 2018, Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships
    Preprints | 2018
    Huang C; Yao L; Wang X; Benatallah B; Zhang X, 2018, Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network
    Conference Papers | 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
    Conference Papers | 2018
    Ning X; Yao L; Wang X; Benatallah B; Salim F; Haghighi PD, 2018, 'Predicting Citywide Passenger Demand via Reinforcement Learning from Spatio-Temporal Dynamics', in PROCEEDINGS OF THE 15TH EAI INTERNATIONAL CONFERENCE ON MOBILE AND UBIQUITOUS SYSTEMS: COMPUTING, NETWORKING AND SERVICES (MOBIQUITOUS 2018), ASSOC COMPUTING MACHINERY, New York City, NY, pp. 19 - 28, presented at 15th EAI International Conference on Mobile and Ubiquitous Systems - Computing, Networking and Services (Mobiquitous), New York City, NY, 05 November 2018 - 07 November 2018, http://dx.doi.org/10.1145/3286978.3286991
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Preprints | 2018
    Tran NK; Sheng QZ; Babar MA; Yao L; Zhang WE; Dustdar S, 2018, Internet of Things Search Engine: Concepts, Classification, and Open Issues
    Conference Papers | 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
    Preprints | 2018
    Wang X; Huang C; Yao L; Benatallah B; Dong M, 2018, A Survey on Expert Recommendation in Community Question Answering
    Preprints | 2018
    Yuan F; Yao L; Benatallah B, 2018, Adversarial Collaborative Auto-encoder for Top-N Recommendation
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Preprints | 2018
    Zhang X; Yao L; Huang C; Kanhere SS; Zhang D; Zhang Y, 2018, Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding
    Conference Papers | 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
    Conference Papers | 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
    Preprints | 2018
    Zhang X; Yao L; Zhang S; Kanhere SS; Sheng QZ; Liu Y, 2018, Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity
    Conference Papers | 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
    Conference Papers | 2017
    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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Preprints | 2017
    Zhang X; Yao L; Huang C; Sheng QZ; Wang X, 2017, Intent Recognition in Smart Living Through Deep Recurrent Neural Networks
    Preprints | 2017
    Zhang X; Yao L; Kanhere SS; Liu Y; Gu T; Chen K, 2017, MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network
    Preprints | 2017
    Zhang X; Yao L; Sheng QZ; Kanhere SS; Gu T; Zhang D, 2017, Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals
    Conference Papers | 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
    Preprints | 2017
    Zhang X; Yao L; Zhang D; Wang X; Sheng QZ; Gu T, 2017, Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 2016
    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
    Preprints | 2016
    Shemshadi A; Sheng QZ; Zhang WE; Sun A; Qin Y; Yao L, 2016, Searching for the Internet of Things on the Web: Where It Is and What It Looks Like
    Conference Papers | 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
    Preprints | 2016
    Wang S; Nie F; Chang X; Li X; Sheng QZ; Yao L, 2016, Uncovering Locally Discriminative Structure for Feature Analysis
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 2015
    Ruan W; Yao L; Sheng QZ; Falkner NJG; Li X; Gu T, 2015, 'TagFall: Towards Unobstructive Fine-Grained Fall Detection based on UHF Passive RFID Tags', in Proceedings of the 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015, ACM, presented at 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, 22 July 2015 - 24 July 2015, http://dx.doi.org/10.4108/eai.22-7-2015.2260072
    Conference Papers | 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
    Conference Papers | 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
    Preprints | 2015
    Wang S; Nie F; Chang X; Yao L; Li X; Sheng QZ, 2015, Unsupervised Feature Analysis with Class Margin Optimization
    Conference Papers | 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
    Conference Papers | 2015
    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
    Preprints | 2015
    Yao L; Sheng QZ; Benatallah B; Dustdar S; Wang X; Shemshadi A; Ngu AHH, 2015, Up in the Air: When Homes Meet the Web of Things
    Preprints | 2015
    Yao L; Sheng QZ; Ngu AHH; Li X; Benatallah B, 2015, Unveiling Contextual Similarity of Things via Mining Human-Thing Interactions in the Internet of Things
    Conference Papers | 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
    Conference Papers | 2015
    Yao L; Sheng QZ; Ruan W; Gu T; Li X; Falkner N; Yang Z, 2015, 'RF-Care: Device-Free Posture Recognition for Elderly People Using A Passive RFID Tag Array', in Proceedings of the 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, ACM, presented at 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, 22 July 2015 - 24 July 2015, http://dx.doi.org/10.4108/eai.22-7-2015.2260064
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 2014
    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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 2013
    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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 2012
    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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 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
    Conference Papers | 2011
    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

Australia Category-1 Grants:

  • ACARP, Chief Investigator, Risk Based Model for Forecasting Longwall Face Cavity Development, 2022 - 2023
  • ARC Discovery Project, Lead CI, Robust Preference Inference from Spatial-Temporal Interaction Networks, 2021 - 2023
  • ARC Linkage Project, Lead CI, Context and Activity Recognition for Personalised Behaviour Recommendation, 2020 - 2022
  • ARC LIEF, CI, "A Large-Scale Distributed Experimental Facility for the Internet of Things", Australian Research Council Linkage Infrastructure, Equipment and Facilities Project, 2018
  • ARC DECRA Award, Sole CI, "Effective Recommendation for Web of Things", Australian Research Council Discovery Early Career Researcher Award, 2016-2018

Others:

  • EpiWatch – Artificial Intelligence Early-Warning System for Epidemics, CI, Medical Research Future Fund 2021 - 2022
  • Machine learning techniques for self-aware computing, Sole CI, Defence Science and Technology Group, 2021 - 2025
  • Deep learning for objective measure of tinnitus, CI, British Tinnitus Association 2021 - 2024
  • Exploration of Hierarchy of Learning Models in Relation to Goals, Defence Science and Technology Group, 2020-2023
  • Long Range/BAA Project, Sole CI, "Context-aware Intent Prediction for Human-Machine Cooperation Improvement", Office of Naval Research (US Department of Navy), 2019 - 2021
  • Multi-faceted Adaptive Trust Management in Federated/Distributed Data and AI Systems, Lead CI, Collaborative Research Project, Data61, 2019 - 2021

Selected awards:

  • TechVouchers Project - Succession Plus Australia, Co-CI, Automatic and Integrative Business Solution for Valuation Data Warehousing, Department of Industry, New South Wales 2020
  • Cooperative Research Centres Projects, CI, DeepIoT – A New Hybrid Wireless IoT Platform for Underground Mines, 2020 - 2023
  • TechVouchers Project - iKnow Pty Ltd., Sole CI, Customter-centric Interactive Decision Making System, Department of Industry, New South Wales, 2019
  • UNSW-Tsinghua University Collaborative Research Fund, CI, "iAgeWell: A Unified Computational Mobile Solution for Personalised Wellness management in Senior Citizens", 2019 -2020
  • TechVoucher Project, Co-CI, Inkerz Smartpen, Department of Industry, New South Wales, 2019
  • TechVouchers Project - Raiz Pty Ltd., Sole CI, "Collaborative Deep Learning based Personalized Product Recommendation Model", Department of Industry, New South Wales, 2018
  • UNSW-Tsinghua University Collaborative Research Fund, Lead CI, "City Pulse: A Unified Computational Framework for Data-driven, People-centric Smarter City Applications", 2018 - 2019

COMP9727 - Recommender Systems

COMP9321 - Data Service Engineering

UNSW CSE Honour thesis and Master's research project students

Vertically Integrated Project - Data Dynamics