By Professor Lina Yao

Books

Zhang X; Yao L, 2021, Deep Learning for EEG-Based Brain–Computer Interfaces: Representations, Algorithms and Applications, http://dx.doi.org/10.1142/q0282

Sheng QZ; Qin Y; Yao L; Benatallah B, 2017, Managing the Web of Things: Linking the Real World to the Web

Sheng QZ; Qin Y; Yao L; Benatallah B, 2017, Preface, http://dx.doi.org/10.1016/B978-0-12-809764-9.00026-3

Yao L; Xie X; Zhang Q; Yang LT; Zomaya AY; Jin H, 2015, Preface

Book Chapters

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

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

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

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

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

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

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

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

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

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

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

Journal articles

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Huang J; Ma B; Wang M; Zhou X; Yao L; Wang S; Qi L; Chen Y, 2023, 'Incentive Mechanism Design of Federated Learning for Recommendation Systems in MEC', IEEE Transactions on Consumer Electronics, http://dx.doi.org/10.1109/TCE.2023.3342187

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

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

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

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

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

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

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

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

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