By Professor Lina Yao

Journal articles

Yan C; Chang X; Zhang W; Li Z; Yao L; Luo M; Tian F, 2026, 'Self-supervised transformer architecture search via multi-level masked information fusion', Information Fusion, 126, http://dx.doi.org/10.1016/j.inffus.2025.103640

Yao L; McAuley J; Zhang Y; Zhang K, 2025, 'Introduction to the Special Issue on Causality Representation Learning in LLMs-Driven Recommender Systems', ACM Transactions on Information Systems, 43, pp. 1 - 3, http://dx.doi.org/10.1145/3747838

Li J; Yao L; Li B; Sammut C, 2025, 'Distilled mid-fusion transformer networks for multi-modal human activity recognition', Knowledge Based Systems, 327, http://dx.doi.org/10.1016/j.knosys.2025.114160

Haghighi V; Soltani B; Shabani N; Wu J; Zhang Y; Yao L; Yang J; Sheng QZ, 2025, 'Beyond pairwise relationships: a transformer-based hypergraph learning approach for fraud detection', Knowledge and Information Systems, 67, pp. 7987 - 8022, http://dx.doi.org/10.1007/s10115-025-02476-5

Wang R; Yu T; Li M; Cao Y; Liu Y; Yao L, 2025, 'Learning Causality-Aware Exploration with Transformers for Goal-Oriented Navigation', ACM Transactions on Intelligent Systems and Technology, http://dx.doi.org/10.1145/3748659

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

Yang C; Chen Y; Li Z; Wang X; Shi K; Yao L; Xu G; Guo Z, 2025, 'Deep multimodal learning for time series analysis in social computing: a survey', International Journal of Multimedia Information Retrieval, 14, http://dx.doi.org/10.1007/s13735-025-00363-x

Li M; Liu R; Shi G; Han M; Li C; Yao L; Chang X; Chen L, 2025, 'Mitigating Data Redundancy to Revitalize Transformer-based Long-Term Time Series Forecasting System', ACM Transactions on Intelligent Systems and Technology, http://dx.doi.org/10.1145/3735651

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, http://dx.doi.org/10.1145/3719208

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, 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

Kong L; Hu X; Qi L; Xu X; Zhang Y; Yao L; Zhang X, 2025, 'Deep Learning to Hash for Time-aware QoS Prediction Based on VQ-VAE', IEEE Transactions on Services Computing, http://dx.doi.org/10.1109/TSC.2025.3592409

Zhang Q; Guo B; Yao L; Qiao X; Wang H; Zhang Y; Yu Z, 2025, 'Design Graph Guided Element Importance-Aware Layout Generation With Multimodality Cascade Transformer', IEEE Transactions on Human Machine Systems, http://dx.doi.org/10.1109/THMS.2025.3590785

Zhang Y; Hara T; Yao L, 2025, 'Disentangling Political Bias in Social Media Data Through Multitask Embedding Learning', IEEE Transactions on Computational Social Systems, http://dx.doi.org/10.1109/TCSS.2025.3576342

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, 24, pp. 7406 - 7422, 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

Li C; Bai L; Yao L; Waller ST; Liu W, 2025, 'Knowledge adaptation with model sharing for passenger demand forecasting', Transportmetrica A Transport Science, http://dx.doi.org/10.1080/23249935.2025.2499862

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

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

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