Professor Lina Yao

Professor Lina Yao

Conjoint Professor

PhD - University of Adelaide. 2014

 

Engineering
Computer Science and Engineering

Prof. Lina Yao is currently a Senior Principal Research Scientist and Science Lead at CSIRO's Data61, and Conjoint Full Professor at UNSW. Prior to that, she is a 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.

Up to date information can be found at her personal website - https://www.linayao.com/

  • Books | 2021
    Zhang X; Yao L, 2021, Deep Learning for EEG-Based Brain–Computer Interfaces: Representations, Algorithms and Applications, http://dx.doi.org/10.1142/q0282
    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
    Li Z; Wang X; Yao L; Chen Y; Xu G; Lim EP, 2022, 'Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction', in , pp. 616 - 629, http://dx.doi.org/10.1007/978-3-031-20891-1_44
    Book Chapters | 2022
    Zhang S; Tay Y; Yao L; Sun A; Zhang C, 2022, 'Deep Learning for Recommender Systems', in Recommender Systems Handbook: Third Edition, pp. 173 - 210, http://dx.doi.org/10.1007/978-1-0716-2197-4_5
    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, 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, 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, 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, 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, Elsevier, 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, Elsevier, pp. 275 - 303, http://dx.doi.org/10.1016/b978-0-12-809764-9.00013-5
  • Journal articles | 2024
    Cao Y; Yao L; Pan L; Sheng QZ; Chang X, 2024, 'Guided Image-to-Image Translation by Discriminator-Generator Communication', IEEE Transactions on Multimedia, 26, pp. 1528 - 1538, http://dx.doi.org/10.1109/TMM.2023.3282869
    Journal articles | 2024
    Chen X; Wang S; McAuley J; Jannach D; Yao L, 2024, 'On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems', ACM Transactions on Information Systems, http://dx.doi.org/10.1145/3661996
    Journal articles | 2024
    Fang XS; Wang X; Sheng QZ; Yao L, 2024, 'Generalizing truth discovery by incorporating multi-truth features', Computing, 106, pp. 1557 - 1583, http://dx.doi.org/10.1007/s00607-024-01288-9
    Journal articles | 2024
    Huang J; Ma B; Wang M; Zhou X; Yao L; Wang S; Qi L; Chen Y, 2024, 'Incentive Mechanism Design of Federated Learning for Recommendation Systems in MEC', IEEE Transactions on Consumer Electronics, 70, pp. 2596 - 2607, http://dx.doi.org/10.1109/TCE.2023.3342187
    Journal articles | 2024
    Li N; Guo B; Liu Y; Ding Y; Yao L; Fan X; Yu Z, 2024, 'Hierarchical Constrained Variational Autoencoder for interaction-sparse recommendations', Information Processing and Management, 61, http://dx.doi.org/10.1016/j.ipm.2024.103641
    Journal articles | 2024
    Li Z; Chen Y; Wang X; Yao L; Xu G, 2024, 'Multi-view GCN for loan default risk prediction', Neural Computing and Applications, http://dx.doi.org/10.1007/s00521-024-09695-x
    Journal articles | 2024
    Liu Y; Cui G; Luo J; Chang X; Yao L, 2024, 'Two-stream Multi-level Dynamic Point Transformer for Two-person Interaction Recognition', ACM Transactions on Multimedia Computing, Communications and Applications, 20, http://dx.doi.org/10.1145/3639470
    Journal articles | 2024
    Liu Y; Li B; Wang X; Sammut C; Yao L, 2024, 'Attention-Aware Social Graph Transformer Networks for Stochastic Trajectory Prediction', IEEE Transactions on Knowledge and Data Engineering, http://dx.doi.org/10.1109/TKDE.2024.3390765
    Journal articles | 2024
    Liu Y; Ye Z; Wang R; Li B; Sheng QZ; Yao L, 2024, 'Uncertainty-aware pedestrian trajectory prediction via distributional diffusion', Knowledge-Based Systems, 296, http://dx.doi.org/10.1016/j.knosys.2024.111862
    Journal articles | 2024
    Liu Z; Li Y; Yao L; Chang X; Fang W; Wu X; Saddik AE, 2024, 'Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning', IEEE Transactions on Pattern Analysis and Machine Intelligence, 46, pp. 543 - 560, http://dx.doi.org/10.1109/TPAMI.2023.3323012
    Journal articles | 2024
    Liu Z; Li Y; Yao L; Mcauley J; Dixon S, 2024, 'Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning', IEEE Transactions on Neural Networks and Learning Systems, 35, pp. 657 - 669, http://dx.doi.org/10.1109/TNNLS.2022.3176282
    Journal articles | 2024
    Xu E; Zhao K; Yu Z; Zhang Y; Guo B; Yao L, 2024, 'Limits of predictability in top-N recommendation', Information Processing and Management, 61, http://dx.doi.org/10.1016/j.ipm.2024.103731
    Journal articles | 2024
    Yang C; Wang X; Yao L; Long G; Xu G, 2024, 'Dyformer: A dynamic transformer-based architecture for multivariate time series classification', Information Sciences, 656, http://dx.doi.org/10.1016/j.ins.2023.119881
    Journal articles | 2024
    Ye Z; Yao L; Zhang Y; Gustin S, 2024, 'Self-supervised cross-modal visual retrieval from brain activities', Pattern Recognition, 145, http://dx.doi.org/10.1016/j.patcog.2023.109915
    Journal articles | 2023
    Altulyan M; Yao L; Kanhere S; Huang C, 2023, 'A blockchain framework data integrity enhanced recommender system', Computational Intelligence, 39, pp. 104 - 120, http://dx.doi.org/10.1111/coin.12548
    Journal articles | 2023
    Chen X; Wang S; Qi L; Li Y; Yao L, 2023, 'Intrinsically motivated reinforcement learning based recommendation with counterfactual data augmentation', World Wide Web, 26, pp. 3253 - 3274, http://dx.doi.org/10.1007/s11280-023-01187-7
    Journal articles | 2023
    Chen X; Yao L; McAuley J; Zhou G; Wang X, 2023, 'Deep reinforcement learning in recommender systems: A survey and new perspectives', Knowledge-Based Systems, 264, http://dx.doi.org/10.1016/j.knosys.2023.110335
    Journal articles | 2023
    Chen X; Yao L; Wang X; Sun A; Sheng QZ, 2023, 'Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 9878 - 9889, http://dx.doi.org/10.1109/TKDE.2022.3186920
    Journal articles | 2023
    Dong M; Yao L; Wang X; Benatallah B; Zhang S; Sheng QZ, 2023, 'Gradient Boosted Neural Decision Forest', IEEE Transactions on Services Computing, 16, pp. 330 - 342, http://dx.doi.org/10.1109/TSC.2021.3133673
    Journal articles | 2023
    Dong M; Yao L; Wang X; Xu X; Zhu L, 2023, 'Adversarial dual autoencoders for trust-aware recommendation', Neural Computing and Applications, 35, pp. 13065 - 13075, http://dx.doi.org/10.1007/s00521-021-05722-3
    Journal articles | 2023
    Li C; Bai L; Yao L; Waller ST; Liu W, 2023, 'A bibliometric analysis and review on reinforcement learning for transportation applications', Transportmetrica B, 11, http://dx.doi.org/10.1080/21680566.2023.2179461
    Journal articles | 2023
    Li H; Feng CM; Xu Y; Zhou T; Yao L; Chang X, 2023, 'Zero-Shot Camouflaged Object Detection', IEEE Transactions on Image Processing, 32, pp. 5126 - 5137, http://dx.doi.org/10.1109/TIP.2023.3308295
    Journal articles | 2023
    Li Y; Liu Z; Chang X; McAuley J; Yao L, 2023, 'Diversity-Boosted Generalization-Specialization Balancing for Zero-Shot Learning', IEEE Transactions on Multimedia, 25, pp. 8372 - 8382, http://dx.doi.org/10.1109/TMM.2023.3236211
    Journal articles | 2023
    Li Y; Liu Z; Yao L; Chang X, 2023, 'Attribute-Modulated Generative Meta Learning for Zero-Shot Learning', IEEE Transactions on Multimedia, 25, pp. 1600 - 1610, http://dx.doi.org/10.1109/TMM.2021.3139211
    Journal articles | 2023
    Li Y; Liu Z; Yao L; Monaghan JJM; McAlpine D, 2023, 'Disentangled and Side-Aware Unsupervised Domain Adaptation for Cross-Dataset Subjective Tinnitus Diagnosis', IEEE Journal of Biomedical and Health Informatics, 27, pp. 538 - 549, http://dx.doi.org/10.1109/JBHI.2022.3225089
    Journal articles | 2023
    Li Z; Xu P; Chang X; Yang L; Zhang Y; Yao L; Chen X, 2023, 'When Object Detection Meets Knowledge Distillation: A Survey', IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, pp. 10555 - 10579, http://dx.doi.org/10.1109/TPAMI.2023.3257546
    Journal articles | 2023
    Lou H; Ye Z; Yao L; Zhang Y, 2023, 'Less Is More: Brain Functional Connectivity Empowered Generalizable Intention Classification With Task-Relevant Channel Selection', IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, pp. 1888 - 1899, http://dx.doi.org/10.1109/TNSRE.2023.3252610
    Journal articles | 2023
    MacIntyre CR; Chen X; Kunasekaran M; Quigley A; Lim S; Stone H; Paik HY; Yao L; Heslop D; Wei W; Sarmiento I; Gurdasani D, 2023, 'Artificial intelligence in public health: the potential of epidemic early warning systems', Journal of International Medical Research, 51, http://dx.doi.org/10.1177/03000605231159335
    Journal articles | 2023
    Tao Y; Wang C; Yao L; Li W; Yu Y, 2023, 'Item trend learning for sequential recommendation system using gated graph neural network', Neural Computing and Applications, 35, pp. 13077 - 13092, http://dx.doi.org/10.1007/s00521-021-05723-2
    Journal articles | 2023
    Wang C; Chi CH; Yao L; Liew AWC; Shen H, 2023, 'Interdependence analysis on heterogeneous data via behavior interior dimensions', Knowledge-Based Systems, 279, http://dx.doi.org/10.1016/j.knosys.2023.110893
    Journal articles | 2023
    Wang S; Chen X; McAuley J; Cripps S; Yao L, 2023, 'Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning-Based Recommendation', IEEE Transactions on Neural Networks and Learning Systems, http://dx.doi.org/10.1109/TNNLS.2023.3329808
    Journal articles | 2023
    Wang X; Yao L; Wang X; Paik HY; Wang S, 2023, 'Uncertainty Estimation With Neural Processes for Meta-Continual Learning', IEEE Transactions on Neural Networks and Learning Systems, 34, pp. 6887 - 6897, http://dx.doi.org/10.1109/TNNLS.2022.3215633
    Journal articles | 2023
    Xiao Y; Xing Z; Liu AX; Bai L; Pei Q; Yao L, 2023, 'Cure-GNN: A Robust Curvature-Enhanced Graph Neural Network Against Adversarial Attacks', IEEE Transactions on Dependable and Secure Computing, 20, pp. 4214 - 4229, http://dx.doi.org/10.1109/TDSC.2022.3211955
    Journal articles | 2023
    Xu E; Yu Z; Li N; Cui H; Yao L; Guo B, 2023, 'Quantifying predictability of sequential recommendation via logical constraints', Frontiers of Computer Science, 17, http://dx.doi.org/10.1007/s11704-022-2223-1
    Journal articles | 2023
    Xu E; Yu Z; Sun Z; Guo B; Yao L, 2023, 'Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity', ACM Transactions on Intelligent Systems and Technology, 14, http://dx.doi.org/10.1145/3574157
    Journal articles | 2023
    Yang C; Wang X; Yao L; Long G; Jiang J; Xu G, 2023, 'Attentional Gated Res2Net for Multivariate Time Series Classification', Neural Processing Letters, 55, pp. 1371 - 1395, http://dx.doi.org/10.1007/s11063-022-10944-0
    Journal articles | 2023
    Zhang L; Chang X; Liu J; Luo M; Li Z; Yao L; Hauptmann A, 2023, 'TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection', IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, pp. 3848 - 3861, http://dx.doi.org/10.1109/TPAMI.2022.3183586
    Journal articles | 2022
    Altulyan M; Yao L; Wang X; Huang C; Kanhere SS; Sheng QZ, 2022, 'A Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions', Computer Journal, 65, pp. 2098 - 2132, http://dx.doi.org/10.1093/comjnl/bxab049
    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, 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, 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, 249, http://dx.doi.org/10.1016/j.knosys.2022.108954
    Journal articles | 2022
    Huang C; Yao L; Wang X; Sheng QZ; Dustdar S; Wang Z; Xu X, 2022, 'Intent-Aware Interactive Internet of Things for Enhanced Collaborative Ambient Intelligence', IEEE Internet Computing, 26, pp. 68 - 75, http://dx.doi.org/10.1109/MIC.2021.3099599
    Journal articles | 2022
    Li N; Guo B; Liu Y; Ding Y; Xu E; Yao L; Yu Z, 2022, 'Transfer how much: a fine-grained measure of the knowledge transferability of user behavior sequences in social network', Data Mining and Knowledge Discovery, 36, pp. 2214 - 2236, http://dx.doi.org/10.1007/s10618-022-00857-w
    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, 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, 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, 32, pp. 5175 - 5186, http://dx.doi.org/10.1109/TCSVT.2022.3147902
    Journal articles | 2022
    Liu Y; Yao L; Li B; Sammut C; Chang X, 2022, 'Interpolation graph convolutional network for 3D point cloud analysis', International Journal of Intelligent Systems, 37, pp. 12283 - 12304, http://dx.doi.org/10.1002/int.23087
    Journal articles | 2022
    Liu Z; Li Y; Yao L; Lucas M; Monaghan JJM; Zhang Y, 2022, 'Side-Aware Meta-Learning for Cross-Dataset Listener Diagnosis With Subjective Tinnitus', IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, pp. 2352 - 2361, http://dx.doi.org/10.1109/TNSRE.2022.3201158
    Journal articles | 2022
    Liu Z; Li Y; Yao L; Wang X; Nie F, 2022, 'Agglomerative Neural Networks for Multiview Clustering', IEEE Transactions on Neural Networks and Learning Systems, 33, pp. 2842 - 2852, http://dx.doi.org/10.1109/TNNLS.2020.3045932
    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, 235, http://dx.doi.org/10.1016/j.knosys.2021.107665
    Journal articles | 2022
    Pelech T; Yao L; Saydam S, 2022, 'Planning lunar In-Situ Resource Utilisation with a reinforcement learning agent', Acta Astronautica, 201, pp. 401 - 419, http://dx.doi.org/10.1016/j.actaastro.2022.09.040
    Journal articles | 2022
    Salama U; Yao L; Paik HY, 2022, 'A Multilevel Collective Framework for Internet of Things Digital Forensic Investigation', Computer, 55, pp. 44 - 53, http://dx.doi.org/10.1109/MC.2021.3095492
    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', Frontiers in Big Data, 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, 9, pp. 16386 - 16401, http://dx.doi.org/10.1109/JIOT.2022.3151400
    Journal articles | 2022
    Zhang D; Yao L; Chen K; Yang Z; Gao X; Liu Y, 2022, 'Preventing Sensitive Information Leakage from Mobile Sensor Signals via Integrative Transformation', IEEE Transactions on Mobile Computing, 21, pp. 4517 - 4528, http://dx.doi.org/10.1109/TMC.2021.3078086
    Journal articles | 2022
    Zhang T; Rabhi F; Behnaz A; Chen X; Paik HY; Yao L; MacIntyre CR, 2022, 'Use of automated machine learning for an outbreak risk prediction tool', Informatics in Medicine Unlocked, 34, http://dx.doi.org/10.1016/j.imu.2022.101121
    Journal articles | 2022
    Zhu Y; Lian B; Wang Y; Miller C; Bales C; Fletcher J; Yao L; Waite TD, 2022, 'Machine learning modelling of a membrane capacitive deionization (MCDI) system for prediction of long-term system performance and optimization of process control parameters in remote brackish water desalination', Water Research, 227, http://dx.doi.org/10.1016/j.watres.2022.119349
    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, 13, http://dx.doi.org/10.3390/fi13120305
    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, 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, 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, 54, 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, 113, http://dx.doi.org/10.1016/j.patcog.2021.107826
    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, 15, http://dx.doi.org/10.1145/3446982
    Journal articles | 2021
    Li C; Bai L; Liu W; Yao L; Travis Waller S; Waller ST, 2021, 'Urban mobility analytics: A deep spatial–temporal product neural network for traveler attributes inference', Transportation Research Part C: Emerging Technologies, 124, pp. 102921, http://dx.doi.org/10.1016/j.trc.2020.102921
    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, 131, pp. 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, 124, http://dx.doi.org/10.1016/j.tre.2020.102921
    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, 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, 10, pp. 142 - 162, http://dx.doi.org/10.1049/bme2.12009
    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, 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, 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, 234, http://dx.doi.org/10.1016/j.knosys.2021.107595
    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, 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, 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, 79, pp. 4989 - 5002
    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, 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, 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, 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, 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, 130, pp. 46 - 53, http://dx.doi.org/10.1016/j.patrec.2018.10.030
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    Jiao Y; Zhou T; Yao L; Zhou G; Wang X; Zhang Y, 2020, 'Multi-View Multi-Scale Optimization of Feature Representation for EEG Classification Improvement', IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28, pp. 2589 - 2597, http://dx.doi.org/10.1109/TNSRE.2020.3040984
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    Li C; Bai L; Liu W; Yao L; Waller ST, 2020, 'Graph Neural Network for Robust Public Transit Demand Prediction', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 1 - 13, http://dx.doi.org/10.1109/tits.2020.3041234
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    Li Z; Yao L; Wang S; Kanhere S; Li X; Zhang H, 2020, 'Adaptive two-dimensional embedded image clustering', AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, pp. 4796 - 4803
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    Liu H; Yao L; Zheng Q; Luo M; Zhao H; Lyu Y, 2020, 'Dual-stream generative adversarial networks for distributionally robust zero-shot learning', Information Sciences, 519, pp. 407 - 422
    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, 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, 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, 158, http://dx.doi.org/10.1016/j.eswa.2020.113561
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    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, 35, pp. 7 - 17, http://dx.doi.org/10.1109/MIS.2020.2988925
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    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; Han J; Zhang Y; Xu D, 2020, 'Synthesizing Supervision for Learning Deep Saliency Network without Human Annotation', IEEE Transactions on Pattern Analysis and Machine Intelligence, 42, pp. 1755 - 1769, http://dx.doi.org/10.1109/TPAMI.2019.2900649
    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, 16, pp. 732 - 742, http://dx.doi.org/10.1109/TII.2019.2947112
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    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), 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, 250, pp. 1321 - 1335, http://dx.doi.org/10.1016/j.apenergy.2019.04.170
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    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
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    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
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    Guo B; Xie X; Yao L; Li Y; Mascolo C; Hu X, 2019, 'Special issue on recommender system', CCF Transactions on Pervasive Computing and Interaction, 1, pp. 237 - 239, http://dx.doi.org/10.1007/s42486-019-00024-z
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    Li Z; Yao L; Chang X; Zhan K; Sun J; Zhang H, 2019, 'Zero-shot event detection via event-adaptive concept relevance mining', Pattern Recognition, 88, pp. 595 - 603, http://dx.doi.org/10.1016/j.patcog.2018.12.010
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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',
    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, 6, pp. 7319 - 7333, http://dx.doi.org/10.1109/JIOT.2019.2916143
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    Ma L; Pei Q; Xiang Y; Yao L; Yu S, 2019, 'A reliable reputation computation framework for online items in E-commerce', Journal of Network and Computer Applications, 134, pp. 13 - 25, http://dx.doi.org/10.1016/j.jnca.2019.02.002
    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, 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, 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, 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, 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, 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, 26, pp. 715 - 719, http://dx.doi.org/10.1109/LSP.2019.2906824
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    Zhang D; Yao L; Chen K; Wang S; Haghighi PD; Sullivan C, 2019, 'A Graph-Based Hierarchical Attention Model for Movement Intention Detection from EEG Signals', IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27, pp. 2247 - 2253, http://dx.doi.org/10.1109/TNSRE.2019.2943362
    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, 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, 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
    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
    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, 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, 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, 33, pp. 625 - 653, http://dx.doi.org/10.1007/s11390-018-1845-0
    Journal articles | 2018
    Yao L; Sheng QZ; Benatallah B; Dustdar S; Wang X; Shemshadi A; Kanhere SS, 2018, 'WITS: an IoT-endowed computational framework for activity recognition in personalized smart homes', Computing, 100, pp. 369 - 385, http://dx.doi.org/10.1007/s00607-018-0603-z
    Journal articles | 2018
    Yao L; Sheng QZ; Li X; Gu T; Tan M; Wang X; Wang S; Ruan W, 2018, 'Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength', IEEE Transactions on Mobile Computing, 17, pp. 293 - 306, http://dx.doi.org/10.1109/TMC.2017.2706282
    Journal articles | 2018
    Yao L; Sheng QZ; Wang X; Wang S; Li X; Wang S, 2018, 'Collaborative text categorization via exploiting sparse coefficients', World Wide Web, 21, pp. 373 - 394, http://dx.doi.org/10.1007/s11280-017-0460-2
    Journal articles | 2018
    Yao L; Sheng QZ; Wang X; Zhang WE; Qin Y, 2018, 'Collaborative location recommendation by integrating multi-dimensional contextual information', ACM Transactions on Internet Technology, 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
    Journal articles | 2018
    Zhang WE; Sheng QZ; Yao L; Taylor K; Shemshadi A; Qin Y, 2018, 'A learning-based framework for improving querying on web interfaces of curated knowledge bases', ACM Transactions on Internet Technology, 18, http://dx.doi.org/10.1145/3155806
    Journal articles | 2018
    Zhang X; Yao L; Kanhere SS; Liu Y; Gu T; Chen K, 2018, 'MindID', Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2, pp. 1 - 23, http://dx.doi.org/10.1145/3264959
    Journal articles | 2018
    Zhang Y; Xhafa F; Ruiz C; Yao L, 2018, 'Special issue editorial: Wearable sensor signal processing for smart health', Smart Health, 5-6, pp. 1 - 3, http://dx.doi.org/10.1016/j.smhl.2018.03.004
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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, 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, 20, pp. 915 - 937, http://dx.doi.org/10.1007/s11280-016-0421-1
    Journal articles | 2017
    Shemshadi A; Sheng QZ; Qin Y; Sun A; Zhang WE; Yao L, 2017, 'Searching for the internet of things: where it is and what it looks like', Personal and Ubiquitous Computing, 21, pp. 1097 - 1112, http://dx.doi.org/10.1007/s00779-017-1034-0
    Journal articles | 2017
    Tran NK; Sheng QZ; Babar MA; Yao L, 2017, 'Searching the Web of Things: State of the art, challenges, and solutions', ACM Computing Surveys, 50, http://dx.doi.org/10.1145/3092695
    Journal articles | 2017
    Wang S; Li X; Chang X; Yao L; Sheng QZ; Long G, 2017, 'Learning multiple diagnosis codes for ICU patients with local disease correlation mining', ACM Transactions on Knowledge Discovery from Data, 11, http://dx.doi.org/10.1145/3003729
    Journal articles | 2017
    Yao L; Sheng QZ; Ngu AHH; Li X; Benattalah B, 2017, 'Unveiling correlations via mining human-thing interactions in the web of things', ACM Transactions on Intelligent Systems and Technology, 8, http://dx.doi.org/10.1145/3035967
    Journal articles | 2017
    Zhang WE; Sheng QZ; Qin Y; Taylor K; Yao L, 2017, 'Learning-based SPARQL query performance modeling and prediction', World Wide Web, pp. 1 - 21, http://dx.doi.org/10.1007/s11280-017-0498-1
    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, 27, pp. 367 - 380, http://dx.doi.org/10.1109/TPDS.2015.2408613
    Journal articles | 2016
    Wang S; Chang XJ; Li X; Long G; Yao L; Sheng QZ, 2016, 'Diagnosis Code Assignment Using Sparsity-Based Disease Correlation Embedding', IEEE Transactions on Knowledge and Data Engineering, 28, pp. 3191 - 3202, http://dx.doi.org/10.1109/TKDE.2016.2605687
    Journal articles | 2016
    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, 19, pp. 1125 - 1149, http://dx.doi.org/10.1007/s11280-015-0376-7
    Journal articles | 2016
    Yao L; Sheng QZ; Ngu AHH; Li X, 2016, 'Things of interest recommendation by leveraging heterogeneous relations in the internet of things', ACM Transactions on Internet Technology, 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, 1, pp. 123 - 124, http://dx.doi.org/10.1109/tbdata.2016.2518778
    Journal articles | 2015
    Yao L; Sheng QZ; Dustdar S, 2015, 'Web-based management of the internet of things', IEEE Internet Computing, 19, pp. 60 - 67, http://dx.doi.org/10.1109/MIC.2015.77
    Journal articles | 2015
    Yao L; Sheng QZ; Ngu AHH; Yu J; Segev A, 2015, 'Unified collaborative and content-based web service recommendation', IEEE Transactions on Services Computing, 8, pp. 453 - 466, http://dx.doi.org/10.1109/TSC.2014.2355842
    Journal articles | 2015
    Zeng R; Sheng QZ; Yao L, 2015, 'A simulation method for social networks', Social Network Analysis and Mining, 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), 8786 LNCS, pp. 256 - 265, http://dx.doi.org/10.1007/978-3-319-11749-2_20
    Journal articles | 2014
    Maamar Z; Faci N; Boukadi K; Sheng QZ; Yao L, 2014, 'Commitments to regulate social web services operation', IEEE Transactions on Services Computing, 7, pp. 154 - 167, http://dx.doi.org/10.1109/TSC.2013.29
    Journal articles | 2014
    Sheng QZ; Maamar Z; Yao L; Szabo C; Bourne S, 2014, 'Behavior modeling and automated verification of Web services', Information Sciences, 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, 6, pp. 379 - 392, http://dx.doi.org/10.1007/s11761-012-0113-3
    Journal articles |
    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)
  • Conference Papers | 2024
    Dixon S; Yao L; Davidson R, 2024, 'Modality aware contrastive learning for multimodal human activity recognition', in Concurrency and Computation: Practice and Experience, http://dx.doi.org/10.1002/cpe.8020
    Conference Papers | 2024
    Huang H; Chang X; Hu W; Yao L, 2024, 'MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment', in WWW 2024 - Proceedings of the ACM Web Conference, pp. 2965 - 2975, http://dx.doi.org/10.1145/3589334.3645538
    Conference Papers | 2024
    Liu Y; Li B; Sammut C; Yao L, 2024, 'Multi-level Attention Network with Weather Suppression for All-Weather Action Detection in UAV Rescue Scenarios', in Communications in Computer and Information Science, pp. 540 - 557, http://dx.doi.org/10.1007/978-981-99-8138-0_43
    Preprints | 2024
    Liu Y; Sheng QZ; Yao L, 2024, Modeling Pedestrian Intrinsic Uncertainty for Multimodal Stochastic Trajectory Prediction via Energy Plan Denoising,
    Preprints | 2023
    Cao Y; Yao L; Pan L; Sheng QZ; Chang X, 2023, Guided Image-to-Image Translation by Discriminator-Generator Communication, , http://dx.doi.org/10.48550/arxiv.2303.03598
    Preprints | 2023
    Chen X; Wang S; McAuley J; Jannach D; Yao L, 2023, On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems, , http://dx.doi.org/10.48550/arxiv.2308.11336
    Conference Papers | 2023
    Du J; Ye Z; Guo B; Yu Z; Yao L, 2023, 'Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation', in Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 81 - 90, http://dx.doi.org/10.1109/ICDM58522.2023.00017
    Conference Papers | 2023
    Du J; Ye Z; Guo B; Yu Z; Yao L, 2023, 'IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation', in WSDM 2023 - Proceedings of the 16th ACM International Conference on Web Search and Data Mining, pp. 481 - 489, http://dx.doi.org/10.1145/3539597.3570373
    Conference Papers | 2023
    Han M; Wang Y; Li Z; Yao L; Chang X; Qiao Y, 2023, 'HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation', in Proceedings of the IEEE International Conference on Computer Vision, pp. 13368 - 13377, http://dx.doi.org/10.1109/ICCV51070.2023.01234
    Conference Papers | 2023
    Huang C; Wang S; Wang X; Yao L, 2023, 'Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation', in SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 99 - 109, http://dx.doi.org/10.1145/3539618.3591672
    Conference Papers | 2023
    Huang C; Wang S; Wang X; Yao L, 2023, 'Modeling Temporal Positive and Negative Excitation for Sequential Recommendation', in ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023, pp. 1252 - 1263, http://dx.doi.org/10.1145/3543507.3583463
    Conference Papers | 2023
    Jha S; Zhao H; Gong D; Yao L, 2023, 'NPCL: Neural Processes for Uncertainty-Aware Continual Learning', in Advances in Neural Information Processing Systems
    Conference Papers | 2023
    Li Y; Liu Z; Jha S; Yao L, 2023, 'Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning', in Proceedings of the IEEE International Conference on Computer Vision, pp. 1782 - 1791, http://dx.doi.org/10.1109/ICCV51070.2023.00171
    Preprints | 2023
    Li Z; Chen Y; Wang X; Yao L; Xu G, 2023, Multi-view GCN for Loan Default Risk Prediction, , http://dx.doi.org/10.21203/rs.3.rs-2754272/v1
    Conference Papers | 2023
    Li Z; Wang X; Yang C; Yao L; McAuley J; Xu G, 2023, 'Exploiting Explicit and Implicit Item relationships for Session-based Recommendation', in WSDM 2023 - Proceedings of the 16th ACM International Conference on Web Search and Data Mining, pp. 553 - 561, http://dx.doi.org/10.1145/3539597.3570432
    Preprints | 2023
    Liu Y; Cui G; Luo J; Yao L; Chang X, 2023, Two-stream Multi-level Dynamic Point Transformer for Two-person Interaction Recognition, , http://dx.doi.org/10.48550/arxiv.2307.11973
    Preprints | 2023
    Liu Y; Ye Z; Li B; Yao L, 2023, Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion, , http://dx.doi.org/10.48550/arxiv.2303.08367
    Conference Papers | 2023
    Wang H; Gao C; Wu Y; Jin D; Yao L; Li Y, 2023, 'PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning', in Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, pp. 14539 - 14547
    Conference Papers | 2023
    Wang S; Chen X; Jannach D; Yao L, 2023, 'Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning', in SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1599 - 1608, http://dx.doi.org/10.1145/3539618.3591648
    Preprints | 2023
    Wang S; Chen X; Jannach D; Yao L, 2023, Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning, , http://dx.doi.org/10.48550/arxiv.2304.07920
    Conference Papers | 2023
    Wang S; Chen X; Sheng QZ; Zhang Y; Yao L, 2023, 'Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation', in SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1874 - 1878, http://dx.doi.org/10.1145/3539618.3591961
    Preprints | 2023
    Wang S; Chen X; Sheng QZ; Zhang Y; Yao L, 2023, Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation, , http://dx.doi.org/10.48550/arxiv.2304.07922
    Conference Papers | 2023
    Weng Y; Han M; He H; Li M; Yao L; Chang X; Zhuang B, 2023, 'Mask Propagation for Efficient Video Semantic Segmentation', in Advances in Neural Information Processing Systems
    Conference Papers | 2023
    Yang C; Wang X; Yao L; Long G; Xu G, 2023, 'From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 19 - 33, http://dx.doi.org/10.1007/978-3-031-46661-8_2
    Conference Papers | 2023
    Yang S; Yao L; Wang C; Xu X; Zhu L, 2023, 'Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems', in Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 1481 - 1486, http://dx.doi.org/10.1109/ICDM58522.2023.00195
    Conference Papers | 2023
    Ye X; Li Y; Yao L, 2023, 'DREAM: Decoupled Representation via Extraction Attention Module and Supervised Contrastive Learning for Cross-Domain Sequential Recommender', in Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, pp. 479 - 490, http://dx.doi.org/10.1145/3604915.3608780
    Conference Papers | 2023
    Ye Z; Du J; Liu Y; Zhang Y; Yao L, 2023, 'NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes', in International Conference on Information and Knowledge Management, Proceedings, pp. 5123 - 5127, http://dx.doi.org/10.1145/3583780.3614749
    Conference Papers | 2023
    Zhang Q; Guo B; Yao L; Wang H; Zhang Y; Yu Z, 2023, 'ALDA: An Adaptive Layout Design Assistant for Diverse Posters throughout the Design Process', in MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia, pp. 9405 - 9407, http://dx.doi.org/10.1145/3581783.3612677
    Conference Papers | 2023
    Zhang Y; Hara T; Yao L, 2023, 'Biased or Debiased: Polarization-aware Embedding Learning from Social Media Knowledge Graph', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN54540.2023.10191992
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    Preprints | 2019
    Yuan F; Yao L; Benatallah B, 2019, DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns, , http://dx.doi.org/10.48550/arxiv.1905.10760
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    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
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    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
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    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
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    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
    Preprints | 2019
    Zhang X; Chen X; Dong M; Liu H; Ge C; Yao L, 2019, Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals, , http://dx.doi.org/10.48550/arxiv.1907.13351
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    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
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    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
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    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
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    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
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    Zhang X; Yao L; Yuan F, 2019, Adversarial Variational Embedding for Robust Semi-supervised Learning, , http://dx.doi.org/10.48550/arxiv.1905.02361
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    Bai L; Yao L; Kanhere SS; Wang X; Yang Z, 2018, '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; Wang X; Yang Z, 2018, 'Automatic Device Classification from Network Traffic Streams of Internet of Things', in Cherkaoui S; Andersson K; AlTurjman F (eds.), PROCEEDINGS OF THE 2018 IEEE 43RD CONFERENCE ON LOCAL COMPUTER NETWORKS (LCN), IEEE COMPUTER SOC, IL, Chicago, pp. 597 - 605, presented at 43rd IEEE Conference on Local Computer Networks (LCN), IL, Chicago, 01 October 2018 - 04 October 2018, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000717452300078&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
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    Bai L; Yao L; Kanhere SS; Wang X; Yang Z, 2018, Automatic Device Classification from Network Traffic Streams of Internet of Things, , http://dx.doi.org/10.48550/arxiv.1812.09882
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    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', presented at AAAI Conference on Artificial Intelligence, https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17259
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    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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    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), IEEE, HONG KONG, Hong Kong, pp. 163 - 171, presented at 15th IEEE Annual International Conference on Sensing, Communication, and Networking (SECON), HONG KONG, Hong Kong, 11 June 2018 - 13 June 2018, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000468651200019&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
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    Dong M; Yao L; Wang X; Benatallah B; Huang C; Ning X, 2018, Opinion Fraud Detection via Neural Autoencoder Decision Forest, , http://dx.doi.org/10.48550/arxiv.1805.03379
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    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
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    Dong M; Yao L; Wang X; Benatallah B; Zhang S, 2018, GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest, , http://dx.doi.org/10.48550/arxiv.1806.08079
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    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, , http://dx.doi.org/10.48550/arxiv.1809.08161
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    Huang C; Yao L; Wang X; Benatallah B; Zhang S; Dong M, 2018, 'Expert recommendation via tensor factorization with regularizing hierarchical topical relationships', in Pahl C; Vukovic M; Yin J; Yu Q (eds.), International Conference on Service-Oriented Computing, Springer Nature, Springer, Cham, pp. 373 - 387, presented at 16th International Conference on Service-Oriented Computing (ICSOC), Springer, Cham, 12 November 2018 - 15 November 2018, http://dx.doi.org/10.1007/978-3-030-03596-9_27
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    Huang C; Yao L; Wang X; Benatallah B; Zhang S; Dong M, 2018, Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships, , http://dx.doi.org/10.48550/arxiv.1808.01092
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    Huang C; Yao L; Wang X; Benatallah B; Zhang X, 2018, Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network, , http://dx.doi.org/10.48550/arxiv.1810.11305
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    Li Z; Yao L; Nie F; Zhang D; Xu M, 2018, 'Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification', presented at AAAI Conference on Artificial Intelligence, https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16808
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    Lin X; Buyya R; Yang L; Tari Z; Choo KKR; Vlassov V; Yao L; Yin H; Wang W, 2018, '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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    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, NY, New York City, pp. 19 - 28, presented at 15th EAI International Conference on Mobile and Ubiquitous Systems - Computing, Networking and Services (Mobiquitous), NY, New York City, 05 November 2018 - 07 November 2018, http://dx.doi.org/10.1145/3286978.3286991
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    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
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    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
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    Tran NK; Sheng QZ; Babar MA; Yao L; Zhang WE; Dustdar S, 2018, Internet of Things Search Engine: Concepts, Classification, and Open Issues, , http://dx.doi.org/10.48550/arxiv.1812.02930
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    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
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    Wang X; Huang C; Yao L; Benatallah B; Dong M, 2018, A Survey on Expert Recommendation in Community Question Answering, , http://dx.doi.org/10.48550/arxiv.1807.05540
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    Yuan F; Yao L; Benatallah B, 2018, Adversarial Collaborative Auto-encoder for Top-N Recommendation, , http://dx.doi.org/10.48550/arxiv.1808.05361
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    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
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    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
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    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, Hilton New Orleans Riverside, USA, 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
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    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
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    Zhang S; Yao L; Sun A; Wang S; Long G; Dong M; Wang S, 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, presented at Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 13 July 2018 - 19 July 2018, http://dx.doi.org/10.24963/ijcai.2018/510
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    Zhang X; Yao L; Huang C; Kanhere SS; Zhang D; Zhang Y, 2018, Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding, , http://dx.doi.org/10.48550/arxiv.1810.02223
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    Zhang X; Yao L; Huang C; Wang S; Tan M; Long G; Wang C, 2018, 'Multi-modality Sensor Data Classification with Selective Attention', in Lang J (ed.), the 27th International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, SWEDEN, Stockholm, pp. 3111 - 3117, presented at Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, SWEDEN, Stockholm, 13 July 2018 - 19 July 2018, http://dx.doi.org/10.24963/ijcai.2018/432
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    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), IEEE, GREECE, Athens, pp. 22 - 31, presented at IEEE International Conference on Pervasive Computing and Communications (PerCom), GREECE, Athens, 19 March 2018 - 23 March 2018, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000520087700005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
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    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
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    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, , http://dx.doi.org/10.48550/arxiv.1805.00789
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    Zhang S; Yao L; Sun A; Tay Y, 2017, Deep Learning based Recommender System: A Survey and New Perspectives, , http://dx.doi.org/10.48550/arxiv.1707.07435
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    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
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    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
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    Zhang S; Yao L; Xu X, 2017, AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders, , http://dx.doi.org/10.48550/arxiv.1704.00551
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    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, Springer
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    Zhang X; Yao L; Huang C; Sheng QZ; Wang X, 2017, Intent Recognition in Smart Living Through Deep Recurrent Neural Networks, , http://dx.doi.org/10.48550/arxiv.1702.06830
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    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, , http://dx.doi.org/10.48550/arxiv.1711.06149
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    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, , http://dx.doi.org/10.48550/arxiv.1709.08820
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    Zhang X; Yao L; Zhang D; Wang X; Sheng QZ; Gu T, 2017, 'Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis', in Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, ACM, presented at 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, 07 November 2017 - 10 November 2017, http://dx.doi.org/10.4108/eai.7-11-2017.2273696
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    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
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    Zhang X; Yao L; Zhang D; Wang X; Sheng QZ; Gu T, 2017, Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis, , http://dx.doi.org/10.48550/arxiv.1709.09077
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    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
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    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
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    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
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    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
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    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, , http://dx.doi.org/10.48550/arxiv.1607.06884
    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, , http://dx.doi.org/10.48550/arxiv.1607.02559
    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, IN, IUPUI, Indianapolis, pp. 1743 - 1752, presented at 25th ACM International Conference on Information and Knowledge Management (CIKM), IN, IUPUI, Indianapolis, 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, 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, , http://dx.doi.org/10.48550/arxiv.1506.01330
    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, , http://dx.doi.org/10.48550/arxiv.1512.06257
    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, , http://dx.doi.org/10.48550/arxiv.1512.08493
    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; 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 | 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 | 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; 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
    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
    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
    Conference Papers |
    Pan S; Hu R; Long G; Jiang J; Yao L; Zhang C, '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

Australia Category-1 Grants:

  • ARC Discovery Project, Lead CI, Generalisable and Unbiased Dynamic Recommender Systems, 2023-2026
  • 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:

  • Outstanding Research Contribution Award (formerly named after Chris Wallace), The Computing Research and Education Association of Australasia (CORE) 2023
  • Listed among the World’ Top 2% Scientists in the 2022 list compiled by Stanford University and published at PLOS in the single year category.
  • Educational Excellence and Innovation Group Award, UNSW Faculty of Engineering Excellence Awards 2021
  • Winner of 2021 Australia and New Zealand Women in AI Awards in the category of AI in Cybersecurity, 2021
  • Listed among the World’ Top 2% Scientists in the 2021 list compiled by Stanford University and published at PLOS in the single year category.
  • Academic Excellence, UNSW Faculty of Engineering Excellence Awards, 2020
  • Vice-Chancellor’s Award for Excellence in Higher Degree Research Supervision in the Emerging Supervisor Category 2020, UNSW
  • Listed among the World’ Top 2% Scientists in the 2020 list compiled by Stanford University and published at PLOS in the single year category.
  • Inaugural Vice Chancellor's Women's Research Excellence Award, The University of Adelaide 2015
  • Dean's Commendation for Doctoral Thesis Excellence, The University of Adelaide 2014
  • Google PhD Prize, Google 2012

  • 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

My Research Supervision

Please check my personal website or Data Dynamics website for more information.

My Teaching

COMP9727 - Recommender Systems

COMP9321 - Data Service Engineering

UNSW CSE Honour thesis and Master's research project students

Vertically Integrated Project - Data Dynamics