By Professor Lina Yao

Books

Sheng QZ; Liu Y; Yao L, 2026, Harnessing Artificial Intelligence and Pervasive Internet of Things for an Empowered Aging, http://dx.doi.org/10.1007/978-3-032-16502-2

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

Chen X; Wang S; Yao L, 2026, 'Distributional Offline Reinforcement Learning for Recommender Systems', in , pp. 64 - 78, http://dx.doi.org/10.1007/978-981-95-6196-4_5

Cao Y; Liu Y; Wang R; Sheng QZ; Yao L, 2025, 'Improving Efficiency of Unsupervised Skill Discovery by Model Resetting Curriculum', in , pp. 1 - 14, http://dx.doi.org/10.1007/978-981-96-6954-7_1

Wang R; Yao L, 2025, 'Independence Constrained Disentangled Representation Learning from Epistemological Perspective', in , pp. 271 - 285, http://dx.doi.org/10.1007/978-981-96-6576-1_19

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

Lai Z; Li H; Zhang D; Gong D; Yao L; Jensen CS, 2026, 'Impute On-Demand: Adaptive Correlated Time Series Imputation for Changing Environments', IEEE Transactions on Knowledge and Data Engineering, 38, pp. 6701 - 6715, http://dx.doi.org/10.1109/TKDE.2026.3717792

Li M; Liu R; Shi Z; Han M; Yao L; Li Z; Chang X; Pohl KM; Islam MT; Xing L, 2026, 'Advancing In-Context Learning for Efficient and Stable Medical Report Generation', IEEE Transactions on Pattern Analysis and Machine Intelligence, 48, pp. 11183 - 11199, http://dx.doi.org/10.1109/TPAMI.2026.3689780

LI X; Yang S; Haghighi V; Lalooha G; Xu Z; Xia F; Sheng QZ; Yao L, 2026, 'Self-supervised Causal Effects Estimation', ACM Transactions on Intelligent Systems and Technology, http://dx.doi.org/10.1145/3841471

Zhou G; Xie S; Hao GY; Chen S; Huang B; Xu X; Wang C; Zhu L; Yao L; Zhang K, 2026, 'Emerging Synergies in Causality and Deep Generative Models: A Survey', IEEE Transactions on Artificial Intelligence, 7, pp. 3634 - 3652, http://dx.doi.org/10.1109/TAI.2025.3646958

Rong D; Liu M; Zhang Y; Sheng QZ; Yao L; Wang Z; Xu X, 2026, 'STAR: A Sequential Transformer-Based Adaptive Reinforcement Learning Framework for Service Recommendation', IEEE Transactions on Services Computing, 19, pp. 3099 - 3111, http://dx.doi.org/10.1109/TSC.2026.3704136

Wang R; Yu T; Li M; Cao Y; Liu Y; Yao L, 2026, 'Learning Causality-Aware Exploration with Transformers for Goal-Oriented Navigation', ACM Transactions on Intelligent Systems and Technology, 17, http://dx.doi.org/10.1145/3748659

Li M; Liu R; Shi G; Han M; Li C; Yao L; Chang X; Chen L, 2026, 'Mitigating Data Redundancy to Revitalize Transformer-Based Long-Term Time Series Forecasting System', ACM Transactions on Intelligent Systems and Technology, 17, http://dx.doi.org/10.1145/3735651

Haghighi V; Soltani B; Yao L; Wu J; Yang J; Sheng QZ, 2026, 'Beyond Smoothing: A Discriminative Enhanced Aggregation Graph Neural Network for Camouflaged Fraud Detection', ACM Transactions on Knowledge Discovery from Data, 20, http://dx.doi.org/10.1145/3801967

Qi L; Wang S; Sheng VS; Yao L, 2026, 'Introduction to the Special Issue on Deep Reinforcement Learning for Recommender Systems', ACM Transactions on Recommender Systems, 4, pp. 1 - 4, http://dx.doi.org/10.1145/3746129

Luo JJ; Xia J; Pan B; Ham YG; Li X; Shangguan W; Xue W; Wang Y; Mu B; Hong Y; Li H; Zhong X; Dai K; Bai L; Ling F; Boers N; Bretherton C; Chen B; Cho D; Gentine P; Guo Z; Huang X; Kang D; Kim HJ; Kim JH; Lei L; Meng F; Oh SH; Qin B; Shen Z; Sun Q; Tang Y; Tong X; Wan B; Wang L; Wang Y; Wang Y; Wu J; Xiao Y; Yao L; Yang S; Yuan C; Yuan S; Yu T; Zhao M, 2026, 'AI for atmosphere–ocean sciences: advancements, challenges and ways forward', National Science Review, 13, http://dx.doi.org/10.1093/nsr/nwag063

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

Zhang Y; Hara T; Yao L, 2026, 'Disentangling Political Bias in Social Media Data Through Multitask Embedding Learning', IEEE Transactions on Computational Social Systems, 13, pp. 196 - 207, http://dx.doi.org/10.1109/TCSS.2025.3576342

Zhou G; Han Z; Xie S; Chen S; Huang B; Zhu L; Gao X; Yao L; Khan S, 2026, 'From Small to Large: In-Context Learning as a New Paradigm for Domain Generalization', International Journal of Computer Vision, 134, http://dx.doi.org/10.1007/s11263-025-02618-w

Chen H; Lin Y; Fu M; Yao L; Sheng M, 2025, 'A Survey on Reinforcement Learning Methods for UAV Systems', ACM Computing Surveys, 58, http://dx.doi.org/10.1145/3769426

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

Liu Y; Yang J; Sheng QZ; Yao L, 2025, 'Synchronized Trajectory Prediction for Hybrid Multi-agent via Attention-Denoised Endpoint Distribution', ACM Transactions on Autonomous and Adaptive Systems, http://dx.doi.org/10.1145/3768313

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, http://dx.doi.org/10.1145/3747838

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

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

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

Lu H; Zhang X; Xue J; Yao L; Gong D; Van Den Hengel A, 2025, 'Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors', Transactions on Machine Learning Research, 2025, pp. 1 - 27

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, 18, pp. 2726 - 2739, 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, 55, pp. 716 - 725, http://dx.doi.org/10.1109/THMS.2025.3590785

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

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