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

Rong D; Yao L; Zheng Y; Yu S; Xu X; Liu M; Wang Z, 2025, 'LLM Enhanced Representation for Cold Start Service Recommendation', in , pp. 153 - 167, http://dx.doi.org/10.1007/978-981-96-0805-8_12

Haghighi V; Shabani N; Soltani B; Yao L; Sheng QZ; Yang J; Beheshti A, 2025, 'Robust Graph Learning Against Camouflaged Malicious Actors', in , pp. 146 - 161, http://dx.doi.org/10.1007/978-981-96-0567-5_12

Zhang S; Zhang A; Yao L, 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

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 Lecture Notes in Computer Science, 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

Wang S; Chen X; Yao L, 2025, 'Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning-Based Recommendation Systems', ACM Transactions on Intelligent Systems and Technology, 16, pp. 1 - 20, http://dx.doi.org/10.1145/3719208

Li Z; Lee JH; Yao L; Ostwald MJ, 2025, 'Impact of built environments on human perception: A systematic review of physiological measures and machine learning', Journal of Building Engineering, 104, http://dx.doi.org/10.1016/j.jobe.2025.112319

Wang H; Guo B; Zeng Y; Chen M; Ding Y; Zhang Y; Yao L; Yu Z, 2025, 'Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review', ACM Transactions on Information Systems, 43, pp. 1 - 59, http://dx.doi.org/10.1145/3715098

Zhang Y; Wang Y; Sheng QZ; Yao L; Chen H; Wang K; Mahmood A; Zhang WE; Zaib M; Sagar S; Zhao R, 2025, 'Deep learning meets bibliometrics: A survey of citation function classification', Journal of Informetrics, 19, http://dx.doi.org/10.1016/j.joi.2024.101608

Zhao H; Lou H; Yao L; Zhang Y, 2025, 'Diffusion transformer-augmented fMRI functional connectivity for enhanced autism spectrum disorder diagnosis', Journal of Neural Engineering, 22, http://dx.doi.org/10.1088/1741-2552/adb07a

Li Q; Cao Y; Wang Q; Yao L; Yu Z; Cui J, 2025, 'FedHMIR: Unified Framework for Federated Human-Machine Synergy in Personalization-Generalization Balancing Identity Recognition', IEEE Transactions on Mobile Computing, http://dx.doi.org/10.1109/TMC.2025.3549925

Zhou G; Han Z; Chen S; Huang B; Zhu L; Liu T; Yao L; Zhang K, 2025, 'HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization', IEEE Transactions on Multimedia, 27, pp. 1142 - 1152, http://dx.doi.org/10.1109/TMM.2024.3521719

Li Q; Wang Z; Xia H; Li G; Cao Y; Yao L; Xu G, 2025, 'HOT-GAN: Hilbert Optimal Transport for Generative Adversarial Network', IEEE Transactions on Neural Networks and Learning Systems, 36, pp. 4371 - 4384, http://dx.doi.org/10.1109/TNNLS.2024.3370617

Wang S; Chen X; McAuley J; Cripps S; Yao L, 2025, 'Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning-Based Recommendation', IEEE Transactions on Neural Networks and Learning Systems, 36, pp. 1044 - 1055, http://dx.doi.org/10.1109/TNNLS.2023.3329808

Yao L; Mcauley J; Wang X; Jannach D, 2024, 'Special Issue on Responsible Recommender Systems Part 2', ACM Transactions on Intelligent Systems and Technology, 16, http://dx.doi.org/10.1145/3689367

Huang H; Chang X; Yao L, 2024, 'Accelerating one-shot neural architecture search via constructing a sparse search space', Knowledge-Based Systems, 305, http://dx.doi.org/10.1016/j.knosys.2024.112620

Li Z; Yang C; Chen Y; Wang X; Chen H; Xu G; Yao L; Sheng M, 2024, 'Graph and Sequential Neural Networks in Session-based Recommendation: A Survey', ACM Computing Surveys, 57, http://dx.doi.org/10.1145/3696413

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, 42, http://dx.doi.org/10.1145/3661996

Lou H; Ye Z; Yao L, 2024, 'Transferrable Subject-Independent Feature Representation for Discriminating EEG-Based Brain Signals', Guidance, Navigation and Control, 4, http://dx.doi.org/10.1142/S273748072441005X

Yao L; Mcauley J; Wang X; Jannach D, 2024, 'Special Issue on Responsible Recommender Systems Part 1', ACM Transactions on Intelligent Systems and Technology, 15, http://dx.doi.org/10.1145/3663528

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

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

Li Z; Chen Y; Wang X; Yao L; Xu G, 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

Xu X; Wu F; Bilal M; Xia X; Dou W; Yao L; Zhong W, 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

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

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

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

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, 36, pp. 5633 - 5646, http://dx.doi.org/10.1109/TKDE.2024.3390765

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

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