Select Publications
Books
2021, Deep Learning for EEG-Based Brain–Computer Interfaces: Representations, Algorithms and Applications, http://dx.doi.org/10.1142/q0282
,2017, Managing the Web of Things: Linking the Real World to the Web
,2017, Preface, http://dx.doi.org/10.1016/B978-0-12-809764-9.00026-3
,2015, Preface
,Book Chapters
2023, 'Recommender Systems', in Machine Learning for Data Science Handbook: Data Mining and Knowledge Discovery Handbook, Third Edition, pp. 637 - 658, http://dx.doi.org/10.1007/978-3-031-24628-9_28
,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
,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
,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
,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
,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
,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
,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
,2018, 'Correction to: SourceVote: Fusing Multi-valued Data via Inter-source Agreements', in Lecture Notes in Computer Science, Springer International Publishing, pp. E1 - E1, http://dx.doi.org/10.1007/978-3-319-69904-2_40
,2017, 'Building Entity Graphs for the Web of Things Management', in Managing the Web of Things: Linking the Real World to the Web, Elsevier, pp. 275 - 303, http://dx.doi.org/10.1016/B978-0-12-809764-9.00013-5
,2017, '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
,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
2024, 'On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems', ACM Transactions on Information Systems, 42, pp. 1 - 26, http://dx.doi.org/10.1145/3661996
,2024, 'Graph and Sequential Neural Networks in Session-based Recommendation: A Survey', ACM Computing Surveys, http://dx.doi.org/10.1145/3696413
,2024, 'Special Issue on Responsible Recommender Systems Part 1', ACM Transactions on Intelligent Systems and Technology, 15, http://dx.doi.org/10.1145/3663528
,2024, 'Uncertainty-aware pedestrian trajectory prediction via distributional diffusion', Knowledge-Based Systems, 296, http://dx.doi.org/10.1016/j.knosys.2024.111862
,2024, 'Limits of predictability in top-N recommendation', Information Processing and Management, 61, http://dx.doi.org/10.1016/j.ipm.2024.103731
,2024, 'Multi-view GCN for loan default risk prediction', Neural Computing and Applications, 36, pp. 12149 - 12162, http://dx.doi.org/10.1007/s00521-024-09695-x
,2024, 'XRL-SHAP-Cache: an explainable reinforcement learning approach for intelligent edge service caching in content delivery networks', Science China Information Sciences, 67, http://dx.doi.org/10.1007/s11432-023-3987-y
,2024, 'Generalizing truth discovery by incorporating multi-truth features', Computing, 106, pp. 1557 - 1583, http://dx.doi.org/10.1007/s00607-024-01288-9
,2024, 'Hierarchical Constrained Variational Autoencoder for interaction-sparse recommendations', Information Processing and Management, 61, http://dx.doi.org/10.1016/j.ipm.2024.103641
,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
,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
,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
,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
,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
,2024, 'HOT-GAN: Hilbert Optimal Transport for Generative Adversarial Network', IEEE Transactions on Neural Networks and Learning Systems, http://dx.doi.org/10.1109/TNNLS.2024.3370617
,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
,2024, 'Self-supervised cross-modal visual retrieval from brain activities', Pattern Recognition, 145, http://dx.doi.org/10.1016/j.patcog.2023.109915
,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
,2024, 'Transferrable Subject-Independent Feature Representation for Discriminating EEG-Based Brain Signals', Guidance, Navigation and Control, http://dx.doi.org/10.1142/S273748072441005X
,2023, 'Interdependence analysis on heterogeneous data via behavior interior dimensions', Knowledge-Based Systems, 279, http://dx.doi.org/10.1016/j.knosys.2023.110893
,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
,2023, 'Quantifying predictability of sequential recommendation via logical constraints', Frontiers of Computer Science, 17, http://dx.doi.org/10.1007/s11704-022-2223-1
,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
,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
,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
,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
,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
,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
,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
,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
,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
,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
,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
,2023, 'A blockchain framework data integrity enhanced recommender system', Computational Intelligence, 39, pp. 104 - 120, http://dx.doi.org/10.1111/coin.12548
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