By Professor Lina Yao

Journal articles

Gao C; He X; Gan D; Chen X; Feng F; Li Y; Chua T; Yao L; Song Y; Jin D, 2019, 'Learning to Recommend with Multiple Cascading Behaviors', IEEE Transactions on Knowledge and Data Engineering, pp. 1 - 1, http://dx.doi.org/10.1109/TKDE.2019.2958808

Chen K; Yao L; Zhang D; Guo B; Yu Z, 2019, 'Multi-agent attentional activity recognition',

Liu L; Zhou T; Long G; Jiang J; Yao L; Zhang C, 2019, 'Prototype propagation networks (PPN) for weakly-supervised few-shot learning on category graph',

Zhang X; Yao L; Kanhere SS; Liu Y; Gu T; Chen K, 2018, 'MindID', Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2, pp. 1 - 23, http://dx.doi.org/10.1145/3264959

Tran NK; Sheng QZ; Babar MA; Yao L, 2018, 'Searching the Web of Things: State of the art, challenges, and solutions', ACM Computing Surveys, 50, http://dx.doi.org/10.1145/3092695

Salama U; Yao L; Paik HY, 2018, 'An internet of things based multi-level privacy-preserving access control for smart living', Informatics, 5, http://dx.doi.org/10.3390/informatics5020023

Yao L; Sheng QZ; Benatallah B; Dustdar S; Wang X; Shemshadi A; Kanhere SS, 2018, 'WITS: an IoT-endowed computational framework for activity recognition in personalized smart homes', Computing, 100, pp. 369 - 385, http://dx.doi.org/10.1007/s00607-018-0603-z

Zhang Z; Zhang Y; Yao L; Song H; Kos A, 2018, 'A sensor-based wrist pulse signal processing and lung cancer recognition', Journal of Biomedical Informatics, 79, pp. 107 - 116, http://dx.doi.org/10.1016/j.jbi.2018.01.009

Yao L; Sheng QZ; Wang X; Wang S; Li X; Wang S, 2018, 'Collaborative text categorization via exploiting sparse coefficients', World Wide Web, 21, pp. 373 - 394, http://dx.doi.org/10.1007/s11280-017-0460-2

Ruan W; Sheng QZ; Yao L; Li X; Falkner NJG; Yang L, 2018, 'Device-free human localization and tracking with UHF passive RFID tags: A data-driven approach', Journal of Network and Computer Applications, 104, pp. 78 - 96, http://dx.doi.org/10.1016/j.jnca.2017.12.010

Zhang WE; Sheng QZ; Yao L; Taylor K; Shemshadi A; Qin Y, 2018, 'A learning-based framework for improving querying on web interfaces of curated knowledge bases', ACM Transactions on Internet Technology, 18, http://dx.doi.org/10.1145/3155806

Yao L; Sheng QZ; Wang X; Zhang WE; Qin Y, 2018, 'Collaborative location recommendation by integrating multi-dimensional contextual information', ACM Transactions on Internet Technology, 18, http://dx.doi.org/10.1145/3134438

Yao L; Sheng QZ; Li X; Gu T; Tan M; Wang X; Wang S; Ruan W, 2018, 'Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength', IEEE Transactions on Mobile Computing, 17, pp. 293 - 306, http://dx.doi.org/10.1109/TMC.2017.2706282

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

Zhang Y; Wang W; Lin X; Feng F; Yin H; Zhao WX; Yao L; Song Y; He X, 2025, 'The 3rd Workshop on Personal Intelligence with Generative AI', in Companion Proceedings of the ACM on Web Conference 2025, ACM, pp. 2377 - 2380, presented at WWW '25: The ACM Web Conference 2025, http://dx.doi.org/10.1145/3701716.3717524

Hu J; Jia H; Hassan M; Yao L; Kusy B; Hu W, 2025, 'LightLLM: A Versatile Large Language Model for Predictive Light Sensing', in Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, ACM, pp. 158 - 171, presented at SenSys '25: 23rd ACM Conference on Embedded Networked Sensor Systems, http://dx.doi.org/10.1145/3715014.3722067

Wang S; Chen X; Yao L, 2025, 'Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation', in Www 2025 Proceedings of the ACM Web Conference, pp. 402 - 412, http://dx.doi.org/10.1145/3696410.3714562

Zhang Q; Guo B; Yao L; Qiao X; Zhang Y; Yu Z, 2025, 'CollageNoter: Real-Time and Adaptive Collage Layout Design for Screenshot-Based E-Note-Taking', in Proceedings of the Aaai Conference on Artificial Intelligence, pp. 14494 - 14501, http://dx.doi.org/10.1609/aaai.v39i13.33588

Wang R; Li X; Yao L, 2025, 'Deconfounded Causality-Aware Parameter-Efficient Fine-Tuning for Problem-Solving Improvement of LLMs', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 161 - 176, http://dx.doi.org/10.1007/978-981-96-0573-6_12

Huang C; Xia Y; Wang R; Xie K; Yu T; McAuley J; Yao L, 2025, 'Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models', in Proceedings International Conference on Computational Linguistics Coling, pp. 1403 - 1412

Li X; Liu Y; Wang R; Yao L, 2025, 'Regularized Multi-LLMs Collaboration for Enhanced Score-Based Causal Discovery', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 177 - 188, http://dx.doi.org/10.1007/978-981-96-0573-6_13

Lou H; Paik HY; Hu W; Yao L, 2024, 'StyleSpeech: Parameter-efficient Fine Tuning for Pre-trained Controllable Text-to-Speech', in Proceedings of the 6th ACM International Conference on Multimedia in Asia Mmasia 2024, http://dx.doi.org/10.1145/3696409.3700163

Liu R; Li M; Zhao S; Chen L; Chang X; Yao L, 2024, 'In-Context Learning for Zero-shot Medical Report Generation', in Mm 2024 Proceedings of the 32nd ACM International Conference on Multimedia, pp. 8721 - 8730, 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 International Conference on Information and Knowledge Management Proceedings, pp. 2900 - 2909, 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 International Conference on Information and Knowledge Management Proceedings, pp. 2108 - 2117, 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 International Conference on Information and Knowledge Management Proceedings, pp. 2390 - 2399, 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

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