By Professor Lina Yao

Conference Papers

Yao L; Sheng QZ; Ruan W; Gu T; Li X; Falkner N; Yang Z, 2015, 'RF-Care: Device-Free Posture Recognition for Elderly People Using A Passive RFID Tag Array', in Proceedings of the 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, ACM, presented at 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, 22 July 2015 - 24 July 2015, http://dx.doi.org/10.4108/eai.22-7-2015.2260064

Yao L; Xie X; Zhang Q; Yang LT; Zomaya AY; Jin H, 2015, 'Advances in services computing: 9th Asia-Pacific services computing conference, APSCC 2015 Bangkok, Thailand, December 7-9, 2015 proceedings', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), http://dx.doi.org/10.1007/978-3-319-26979-5

Shemshadi A; Yao L; Qin Y; Sheng QZ; Zhang Y, 2015, 'ECS: A Framework for diversified and relevant search in the Internet of things', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 448 - 462, http://dx.doi.org/10.1007/978-3-319-26190-4_30

Yao L; Sheng QZ; Ruan W; Gu T; Li X; Falkner NJG; Yang Z, 2015, 'RF-care: Device-free posture recognition for elderly people using a passive RFID tag array', in Proceedings of the 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015, pp. 110 - 119, http://dx.doi.org/10.4108/icst.mobiquitous.2015.260064

Ruan W; Yao L; Sheng QZ; Falkner NJG; Li X; Gu T, 2015, 'TagFall: Towards Unobstructive Fine-Grained Fall Detection based on UHF Passive RFID Tags', in Proceedings of the 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015, http://dx.doi.org/10.4108/eai.22-7-2015.2260072

Wang S; Nie F; Chang X; Yao L; Li X; Sheng QZ, 2015, 'Unsupervised feature analysis with class margin optimization', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 383 - 398, http://dx.doi.org/10.1007/978-3-319-23528-8_24

Yao L; Ruan W; Sheng QZ; Li X; Falkner NJG, 2014, 'Exploring tag-free RFID-based passive localization and tracking via learning-based probabilistic approaches', in CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management, pp. 1799 - 1802, http://dx.doi.org/10.1145/2661829.2661873

Yao L; Sheng QZ; Ngu AHH; Gao B, 2014, 'Keeping you in the loop: Enabling web-based things management in the Internet of Things', in CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management, pp. 2027 - 2029, http://dx.doi.org/10.1145/2661829.2661838

Yao L; Sheng QZ; Ngu AHH; Ashman H; Li X, 2014, 'Exploring recommendations in Internet of Things', in SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 855 - 858, http://dx.doi.org/10.1145/2600428.2609458

Ngu AHH; Ma J; Sheng QZ; Yao L; Julian S, 2014, 'ServiceXplorer: A similarity-based Web service search engine', in SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1251 - 1252, http://dx.doi.org/10.1145/2600428.2611179

Ruan W; Yao L; Sheng QZ; Falkner NJG; Li X, 2014, 'TagTrack: Device-free localization and tracking using passive RFID tags', in MobiQuitous 2014 - 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, pp. 80 - 89, http://dx.doi.org/10.4108/icst.mobiquitous.2014.258004

Yao L; Sheng QZ; Falkner NJG; Ngu AHH, 2014, 'ThingsNavi: Finding most-related things via multi-dimensional modeling of human-thing interactions', in MobiQuitous 2014 - 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, pp. 20 - 29, http://dx.doi.org/10.4108/icst.mobiquitous.2014.258007

Yao L; Sheng QZ; Gao BJ; Ngu AHH; Li X, 2013, 'A model for discovering correlations of ubiquitous things', in Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 1253 - 1258, http://dx.doi.org/10.1109/ICDM.2013.87

Yao L; Sheng QZ, 2013, 'Correlation discovery in web of things', in WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web, pp. 215 - 216, http://dx.doi.org/10.1145/2487788.2487898

Yao L; Mathew SS; Ruta M, 2013, 'Preface', in Procedia Computer Science, pp. 1129, http://dx.doi.org/10.1016/j.procs.2013.06.159

Yao L; Sheng QZ; Segev A; Yu J, 2013, 'Recommending web services via combining collaborative filtering with content-based features', in Proceedings - IEEE 20th International Conference on Web Services, ICWS 2013, pp. 42 - 49, http://dx.doi.org/10.1109/ICWS.2013.16

Yao L; Sheng QZ, 2012, 'A tag-centric discriminative model for web objects classification', in ACM International Conference Proceeding Series, pp. 2247 - 2250, http://dx.doi.org/10.1145/2396761.2398612

Yao L; Sheng QZ, 2012, 'Exploiting latent relevance for relational learning of ubiquitous things', in ACM International Conference Proceeding Series, pp. 1547 - 1551, http://dx.doi.org/10.1145/2396761.2398470

Maamar Z; Faci N; Sheng QZ; Yao L, 2012, 'Towards a user-centric social approach to web services composition, execution, and monitoring', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 72 - 86, http://dx.doi.org/10.1007/978-3-642-35063-4_6

Yao L, 2012, 'A propagation model for integrating web of things and social networks', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 233 - 238, http://dx.doi.org/10.1007/978-3-642-31875-7_28

Wu Y; Sheng QZ; Ranasinghe D; Yao L, 2012, 'PeerTrack: A platform for tracking and tracing objects in large-scale traceability networks', in ACM International Conference Proceeding Series, pp. 586 - 589, http://dx.doi.org/10.1145/2247596.2247672

Zheng Z; Wang H; Yao L, 2012, 'An Artificial Bee Colony Optimization algorithm for multicast routing', in International Conference on Advanced Communication Technology, ICACT, pp. 168 - 172

Yao L; Sheng QZ, 2011, 'Particle filtering based availability prediction for web services', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 566 - 573, http://dx.doi.org/10.1007/978-3-642-25535-9_42

Pan S; Hu R; Long G; Jiang J; Yao L; Zhang C, 'Adversarially Regularized Graph Autoencoder for Graph Embedding', in Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI-18, International Joint Conferences on Artificial Intelligence Organization, pp. 2609 - 2615, http://dx.doi.org/10.24963/ijcai.2018/362

Preprints

Liu Y; Sheng QZ; Yao L, 2024, Modeling Pedestrian Intrinsic Uncertainty for Multimodal Stochastic Trajectory Prediction via Energy Plan Denoising, http://dx.doi.org/10.48550/arxiv.2405.07164

Chen X; Wang S; McAuley J; Jannach D; Yao L, 2023, On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems, http://dx.doi.org/10.48550/arxiv.2308.11336

Liu Y; Cui G; Luo J; Chang X; Yao L, 2023, Two-stream Multi-level Dynamic Point Transformer for Two-person Interaction Recognition, http://dx.doi.org/10.48550/arxiv.2307.11973

Wang S; Chen X; Jannach D; Yao L, 2023, Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning, http://dx.doi.org/10.48550/arxiv.2304.07920

Wang S; Chen X; Sheng QZ; Zhang Y; Yao L, 2023, Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation, http://dx.doi.org/10.48550/arxiv.2304.07922

Li Z; Chen Y; Wang X; Yao L; Xu G, 2023, Multi-view GCN for Loan Default Risk Prediction, http://dx.doi.org/10.21203/rs.3.rs-2754272/v1

Liu Y; Ye Z; Wang R; Li B; Sheng QZ; Yao L, 2023, Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion, http://dx.doi.org/10.48550/arxiv.2303.08367

Cao Y; Yao L; Pan L; Sheng QZ; Chang X, 2023, Guided Image-to-Image Translation by Discriminator-Generator Communication, http://dx.doi.org/10.48550/arxiv.2303.03598

Li C; Bai L; Yao L; Waller ST; Liu W, 2022, A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications, http://dx.doi.org/10.48550/arxiv.2210.14524

Chen X; Wang S; Yao L; Qi L; Li Y, 2022, Intrinsically Motivated Reinforcement Learning based Recommendation with Counterfactual Data Augmentation, http://dx.doi.org/10.48550/arxiv.2209.08228

Wang S; Chen X; Yao L; Cripps S; McAuley J, 2022, Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning based Recommendation, http://dx.doi.org/10.48550/arxiv.2208.05142

Soltani B; Haghighi V; Mahmood A; Sheng QZ; Yao L, 2022, A Survey on Participant Selection for Federated Learning in Mobile Networks, http://dx.doi.org/10.48550/arxiv.2207.03681

Li C; Bai L; Liu W; Yao L; Waller ST, 2022, Unsupervised Knowledge Adaptation for Passenger Demand Forecasting, http://dx.doi.org/10.48550/arxiv.2206.04053

Li Y; Liu Z; Yao L; Monaghan JJM; McAlpine D, 2022, Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis, http://dx.doi.org/10.48550/arxiv.2205.03230

Li Y; Liu Z; Yao L; Lucas M; Monaghan JJM; Zhang Y, 2022, Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus, http://dx.doi.org/10.48550/arxiv.2205.03231

Wang S; Cao Y; Chen X; Yao L; Wang X; Sheng QZ, 2021, Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems, http://dx.doi.org/10.48550/arxiv.2112.00973

Liu Z; Li Y; Yao L; McAuley J; Dixon S, 2021, Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning, http://arxiv.org/abs/2112.00410v1

Chen X; Yao L; Wang X; McAuley J, 2021, Locality-Sensitive Experience Replay for Online Recommendation, http://dx.doi.org/10.48550/arxiv.2110.10850

Chen X; Yao L; Wang X; Sun A; Zhang W; Sheng QZ, 2021, Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference, http://dx.doi.org/10.48550/arxiv.2105.00822

Bouguettaya A; Sheng QZ; Benatallah B; Neiat AG; Mistry S; Ghose A; Nepal S; Yao L, 2021, An Internet of Things Service Roadmap, http://dx.doi.org/10.48550/arxiv.2103.03043

Li C; Bai L; Liu W; Yao L; Waller ST, 2020, Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network, http://dx.doi.org/10.48550/arxiv.2009.05777

Liu Z; Yao L; Bai L; Wang X; Wang C, 2020, Spectrum-Guided Adversarial Disparity Learning, http://dx.doi.org/10.1145/3394486.3403054

Altulyan M; Yao L; Wang X; Huang C; Kanhere SS; Sheng QZ, 2020, Recommender Systems for the Internet of Things: A Survey, http://dx.doi.org/10.48550/arxiv.2007.06758

Wang X; Yao L; Wang X; Nie F, 2020, NP-PROV: Neural Processes with Position-Relevant-Only Variances, http://dx.doi.org/10.48550/arxiv.2007.00767

Cao Y; Chen X; Yao L; Wang X; Zhang WE, 2020, Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems, http://dx.doi.org/10.48550/arxiv.2006.07934

Liu Z; Li Y; Yao L; Wang X; Nie F, 2020, Agglomerative Neural Networks for Multi-view Clustering, http://arxiv.org/abs/2005.05556v1

Back to profile page