By Professor Lina Yao

Journal articles

Zhang Y; Xhafa F; Ruiz C; Yao L, 2018, 'Special issue editorial: Wearable sensor signal processing for smart health', Smart Health, 5-6, pp. 1 - 3, http://dx.doi.org/10.1016/j.smhl.2018.03.004

Wang X; Huang C; Yao L; Benatallah B; Dong M, 2018, 'A Survey on Expert Recommendation in Community Question Answering', Journal of Computer Science and Technology, 33, pp. 625 - 653, http://dx.doi.org/10.1007/s11390-018-1845-0

Yao L; Wang X; Sheng QZ; Benatallah B; Huang C, 2018, 'Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations', IEEE Transactions on Services Computing

Dong M; Yao L; Wang X; Benatallah B; Huang C; Ning X, 2018, 'Opinion fraud detection via neural autoencoder decision forest', Pattern Recognition Letters

Ning X; Yao L; Wang X; Benatallah B; Dong M; Zhang S, 2018, 'Rating prediction via generative convolutional neural networks based regression', Pattern Recognition Letters

Shemshadi A; Sheng QZ; Qin Y; Sun A; Zhang WE; Yao L, 2017, 'Searching for the internet of things: where it is and what it looks like', Personal and Ubiquitous Computing, 21, pp. 1097 - 1112, http://dx.doi.org/10.1007/s00779-017-1034-0

Zhang WE; Sheng QZ; Qin Y; Taylor K; Yao L, 2017, 'Learning-based SPARQL query performance modeling and prediction', World Wide Web, pp. 1 - 21, http://dx.doi.org/10.1007/s11280-017-0498-1

Qin Y; Sheng QZ; Falkner NJG; Yao L; Parkinson S, 2017, 'Efficient computation of distance labeling for decremental updates in large dynamic graphs', World Wide Web, 20, pp. 915 - 937, http://dx.doi.org/10.1007/s11280-016-0421-1

Yao L; Sheng QZ; Ngu AHH; Li X; Benattalah B, 2017, 'Unveiling correlations via mining human-thing interactions in the web of things', ACM Transactions on Intelligent Systems and Technology, 8, http://dx.doi.org/10.1145/3035967

Wang S; Li X; Chang X; Yao L; Sheng QZ; Long G, 2017, 'Learning multiple diagnosis codes for ICU patients with local disease correlation mining', ACM Transactions on Knowledge Discovery from Data, 11, http://dx.doi.org/10.1145/3003729

Wang S; Chang XJ; Li X; Long G; Yao L; Sheng QZ, 2016, 'Diagnosis Code Assignment Using Sparsity-Based Disease Correlation Embedding', IEEE Transactions on Knowledge and Data Engineering, 28, pp. 3191 - 3202, http://dx.doi.org/10.1109/TKDE.2016.2605687

Yao L; Sheng QZ; Ngu AHH; Gao BJ; Li X; Wang S, 2016, 'Multi-label classification via learning a unified object-label graph with sparse representation', World Wide Web, 19, pp. 1125 - 1149, http://dx.doi.org/10.1007/s11280-015-0376-7

Yao L; Sheng QZ; Ngu AHH; Li X, 2016, 'Things of interest recommendation by leveraging heterogeneous relations in the internet of things', ACM Transactions on Internet Technology, 16, http://dx.doi.org/10.1145/2837024

Noor TH; Sheng QZ; Yao L; Dustdar S; Ngu AHH, 2016, 'CloudArmor: Supporting Reputation-Based Trust Management for Cloud Services', IEEE Transactions on Parallel and Distributed Systems, 27, pp. 367 - 380, http://dx.doi.org/10.1109/TPDS.2015.2408613

Sheng QZ; Vasilakos AV; Yu Q; Yao L, 2015, 'Guest Editorial: Big Data Analytics and the Web', IEEE Transactions on Big Data, 1, pp. 123 - 124, http://dx.doi.org/10.1109/tbdata.2016.2518778

Yao L; Sheng QZ; Dustdar S, 2015, 'Web-based management of the internet of things', IEEE Internet Computing, 19, pp. 60 - 67, http://dx.doi.org/10.1109/MIC.2015.77

Yao L; Sheng QZ; Ngu AHH; Yu J; Segev A, 2015, 'Unified collaborative and content-based web service recommendation', IEEE Transactions on Services Computing, 8, pp. 453 - 466, http://dx.doi.org/10.1109/TSC.2014.2355842

Zeng R; Sheng QZ; Yao L, 2015, 'A simulation method for social networks', Social Network Analysis and Mining, 5, pp. 1 - 14, http://dx.doi.org/10.1007/s13278-015-0246-4

Sheng QZ; Maamar Z; Yao L; Szabo C; Bourne S, 2014, 'Behavior modeling and automated verification of Web services', Information Sciences, 258, pp. 416 - 433, http://dx.doi.org/10.1016/j.ins.2012.09.016

Maamar Z; Faci N; Boukadi K; Sheng QZ; Yao L, 2014, 'Commitments to regulate social web services operation', IEEE Transactions on Services Computing, 7, pp. 154 - 167, http://dx.doi.org/10.1109/TSC.2013.29

Ma J; Sheng QZ; Yao L; Xu Y; Shemshadi A, 2014, 'Keyword search over web documents based on earth mover’s distance', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8786 LNCS, pp. 256 - 265, http://dx.doi.org/10.1007/978-3-319-11749-2_20

Yahyaoui H; Mourad A; Almulla M; Yao L; Sheng QZ, 2012, 'A synergy between context-aware policies and AOP to achieve highly adaptable Web services', Service Oriented Computing and Applications, 6, pp. 379 - 392, http://dx.doi.org/10.1007/s11761-012-0113-3

Zhang X; Yao L; Huang C; Gu T; Yang Z; Liu Y, 'DeepKey: A Multimodal Biometric Authentication System via Deep Decoding Gaits and Brainwaves', ACM Transactions on Intelligent Systems and Technology (TIST)

Conference Papers

Liu R; Li M; Zhao S; Chen L; Chang X; Yao L, 2024, 'In-Context Learning for Zero-shot Medical Report Generation', in Proceedings of the 32nd ACM International Conference on Multimedia, ACM, pp. 8721 - 8730, presented at MM '24: The 32nd ACM International Conference on Multimedia, http://dx.doi.org/10.1145/3664647.3680760

Yang S; Wang C; Xu X; Zhu L; Yao L, 2024, 'Attacking Visually-aware Recommender Systems with Transferable and Imperceptible Adversarial Styles', in Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, ACM, pp. 2900 - 2909, presented at CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management, http://dx.doi.org/10.1145/3627673.3679828

Soltani B; Haghighi V; Zhou Y; Sheng QZ; Yao L, 2024, 'DFLStar: A Decentralized Federated Learning Framework with Self-Knowledge Distillation and Participant Selection', in Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, ACM, pp. 2108 - 2117, presented at CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management, http://dx.doi.org/10.1145/3627673.3679853

Wang S; Chen X; Yao L, 2024, 'On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems', in Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, ACM, pp. 2390 - 2399, presented at CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management, http://dx.doi.org/10.1145/3627673.3679674

Chen X; Wang S; Yao L, 2024, 'Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 376 - 384, http://dx.doi.org/10.1145/3637528.3671750

Li X; Gong M; Yao L, 2024, 'Self-Distilled Disentangled Learning for Counterfactual Prediction', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1667 - 1678, http://dx.doi.org/10.1145/3637528.3671782

Dixon S; Yao L; Davidson R, 2024, 'Modality aware contrastive learning for multimodal human activity recognition', in Concurrency and Computation: Practice and Experience, http://dx.doi.org/10.1002/cpe.8020

Du J; Ye Z; Guo B; Yu Z; Yao L, 2024, 'Identifiability of Cross-Domain Recommendation via Causal Subspace Disentanglement', in SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 2091 - 2101, http://dx.doi.org/10.1145/3626772.3657758

Huang H; Chang X; Hu W; Yao L, 2024, 'MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment', in WWW 2024 - Proceedings of the ACM Web Conference, pp. 2965 - 2975, http://dx.doi.org/10.1145/3589334.3645538

Li X; Yao L, 2024, 'Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation', in Proceedings of the AAAI Conference on Artificial Intelligence, pp. 13664 - 13672, http://dx.doi.org/10.1609/aaai.v38i12.29271

Li Y; Liu Z; Chen H; Yao L, 2024, 'Context-Based and Diversity-Driven Specificity in Compositional Zero-Shot Learning', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 17037 - 17046, http://dx.doi.org/10.1109/CVPR52733.2024.01612

Zhang Z; Yu T; Zhao H; Xie K; Yao L; Li S, 2024, 'EXPLORING SOFT PROMPT INITIALIZATION STRATEGY FOR FEW-SHOT CONTINUAL TEXT CLASSIFICATION', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 12106 - 12110, http://dx.doi.org/10.1109/ICASSP48485.2024.10448063

Zhang Y; Yao L; Hara T, 2024, 'Integrating Social Environment in Machine Learning Model for Debiased Recommendation', in Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, pp. 219 - 230, http://dx.doi.org/10.1007/978-3-031-63992-0_14

Lu H; Gong D; Wang S; Xue J; Yao L; Moore K, 2024, 'LEARNING WITH MIXTURE OF PROTOTYPES FOR OUT-OF-DISTRIBUTION DETECTION', in 12th International Conference on Learning Representations, ICLR 2024

Yan C; Chang X; Li Z; Yao L; Luo M; Zheng Q, 2024, 'MASKED DISTILLATION ADVANCES SELF-SUPERVISED TRANSFORMER ARCHITECTURE SEARCH', in 12th International Conference on Learning Representations, ICLR 2024

Liu Y; Li B; Sammut C; Yao L, 2024, 'Multi-level Attention Network with Weather Suppression for All-Weather Action Detection in UAV Rescue Scenarios', in Communications in Computer and Information Science, pp. 540 - 557, http://dx.doi.org/10.1007/978-981-99-8138-0_43

Wang R; Yu T; Zhang R; Kim S; Rossi R; Zhao H; Wu J; Mitra S; Yao L; Henao R, 2024, 'Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning', in Findings of the Association for Computational Linguistics: NAACL 2024 - Findings, pp. 4597 - 4612

Wu Y; Yao J; Han B; Yao L; Liu T, 2024, 'Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning', in Proceedings of Machine Learning Research, pp. 53928 - 53943

Zhang Q; Guo B; Yao L; Wang H; Zhang Y; Yu Z, 2023, 'ALDA: An Adaptive Layout Design Assistant for Diverse Posters throughout the Design Process', in MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia, pp. 9405 - 9407, http://dx.doi.org/10.1145/3581783.3612677

Zhou G; Huang C; Chen X; Xu X; Wang C; Zhu L; Yao L, 2023, 'Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems', in International Conference on Information and Knowledge Management, Proceedings, pp. 3564 - 3573, http://dx.doi.org/10.1145/3583780.3614823

Ye Z; Du J; Liu Y; Zhang Y; Yao L, 2023, 'NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes', in International Conference on Information and Knowledge Management, Proceedings, pp. 5123 - 5127, http://dx.doi.org/10.1145/3583780.3614749

Ye X; Li Y; Yao L, 2023, 'DREAM: Decoupled Representation via Extraction Attention Module and Supervised Contrastive Learning for Cross-Domain Sequential Recommender', in Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, pp. 479 - 490, http://dx.doi.org/10.1145/3604915.3608780

Wang S; Chen X; Jannach D; Yao L, 2023, 'Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning', in SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1599 - 1608, http://dx.doi.org/10.1145/3539618.3591648

Wang S; Chen X; Sheng QZ; Zhang Y; Yao L, 2023, 'Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation', in SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1874 - 1878, http://dx.doi.org/10.1145/3539618.3591961

Huang C; Wang S; Wang X; Yao L, 2023, 'Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation', in SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 99 - 109, http://dx.doi.org/10.1145/3539618.3591672

Wang H; Gao C; Wu Y; Jin D; Yao L; Li Y, 2023, 'PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning', in Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, pp. 14539 - 14547

Huang C; Wang S; Wang X; Yao L, 2023, 'Modeling Temporal Positive and Negative Excitation for Sequential Recommendation', in ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023, pp. 1252 - 1263, http://dx.doi.org/10.1145/3543507.3583463

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