By Professor Lina Yao

Conference Papers

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, 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

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', European Alliance for Innovation n.o., pp. 120 - 129, presented at Proceedings of the 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, http://dx.doi.org/10.4108/eai.22-7-2015.2260064

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, 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

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

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

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

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; 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

Lu H; Zhao C; Xue M; Yao L; Moore K; Gong D, 2026, Take Only What You Need: Rank Minimization as an Implicit Forgetting Regularizer in Continual Learning, http://dx.doi.org/10.48550/arxiv.2412.01004

Yao Y; Zhang J; Wu J; Huang C; Xia Y; Yu T; Zhang R; Kim S; Rossi R; Li A; Yao L; McAuley J; Chen Y; Joe-Wong C, 2026, Federated Large Language Models: Current Progress and Future Directions, http://dx.doi.org/10.48550/arxiv.2409.15723

Jiang S; Kong T; Qi Y; Zhang H; Yao L; Sheng QZ; Liu Q; Yang M-H, 2026, Teaching Prompts to Coordinate: Hierarchical Layer-Grouped Prompt Tuning for Continual Learning, http://dx.doi.org/10.48550/arxiv.2511.12090

Mundada G; Huang Z; Surana R; Yu S; Zhang JY; Li X; Yu T; Yao L; Shang J; McAuley J; Wu J, 2026, WS-GRPO: Weakly-Supervised Group-Relative Policy Optimization for Rollout-Efficient Reasoning, http://dx.doi.org/10.48550/arxiv.2602.17025

Jiang S; Feng X; Qi Y; Zhang H; Hang R; Liu Q; Yao L; Sheng QZ; Yang M-H, 2026, Unlocking Prototype Potential: An Efficient Tuning Framework for Few-Shot Class-Incremental Learning, http://dx.doi.org/10.48550/arxiv.2602.05271

Huang C; Chen X; Huang H; Sheng QZ; Yao L, 2026, Generative Chain of Behavior for User Trajectory Prediction, http://dx.doi.org/10.48550/arxiv.2601.18213

Wu J; Xiong Y; Li X; Xia Y; Wang R; Wang Y; Yu T; Kim S; Rossi RA; Yao L; Shang J; McAuley J, 2026, Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent, http://dx.doi.org/10.48550/arxiv.2502.11740

Jiao S; Xiao X; Wei Y; Qi S; Huang C; Sheng QZM; Yao L, 2026, PruneRAG: Confidence-Guided Query Decomposition Trees for Efficient Retrieval-Augmented Generation, http://dx.doi.org/10.48550/arxiv.2601.11024

Zhou G; Han Z; Chen S; Huang B; Zhu L; Liu T; Yao L; Zhang K, 2026, HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization, http://dx.doi.org/10.48550/arxiv.2401.09716

Lu H; Zhang X; Moore K; Xue J; Yao L; Hengel AVD; Gong D, 2025, Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors, http://dx.doi.org/10.48550/arxiv.2505.20680

Yang S; Hu Z; Li X; Wang C; Yu T; Xu X; Zhu L; Yao L, 2025, DrunkAgent: Stealthy Memory Corruption in LLM-Powered Recommender Agents, http://dx.doi.org/10.48550/arxiv.2503.23804

Lou H; Paik H-Y; Hu W; Yao L, 2025, ParaStyleTTS: Toward Efficient and Robust Paralinguistic Style Control for Expressive Text-to-Speech Generation, http://dx.doi.org/10.48550/arxiv.2510.18308

Chen X; Wang S; Yao L, 2025, Energy-Guided Diffusion Sampling for Long-Term User Behavior Prediction in Reinforcement Learning-based Recommendation, http://dx.doi.org/10.48550/arxiv.2510.12815

Chen X; Wang S; Yao L, 2025, Maximum In-Support Return Modeling for Dynamic Recommendation with Language Model Prior, http://dx.doi.org/10.48550/arxiv.2510.12816

Wang X; Hu X; Huang C; Zeng Z; Nie G; Sheng QZ; Yao L, 2025, Self-Supervised Cross-Modal Learning for Image-to-Point Cloud Registration, http://dx.doi.org/10.48550/arxiv.2509.15882

Yang L; Zhang WE; Sheng QZ; Yao L; Chen W; Shakeri A, 2025, MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning, http://dx.doi.org/10.48550/arxiv.2505.06911

Li X; Wang R; Gao E; Gong M; Yao L, 2025, Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation, http://dx.doi.org/10.48550/arxiv.2507.19882

Li Z; Yang C; Chen Y; Wang X; Chen H; Xu G; Yao L; Sheng QZ, 2025, Graph and Sequential Neural Networks in Session-based Recommendation: A Survey, http://dx.doi.org/10.48550/arxiv.2408.14851

Chen X; Wang S; Yu T; Yao L, 2025, Diffusion Policies for Risk-Averse Behavior Modeling in Offline Reinforcement Learning, http://dx.doi.org/10.48550/arxiv.2403.17646

Wang R; Wang Z; Huang C; Wang R; Yu T; Yao L; Lui JCS; Zhou D, 2025, Federated In-Context Learning: Iterative Refinement for Improved Answer Quality, http://dx.doi.org/10.48550/arxiv.2506.07440

Huang C; Huang H; Yu T; Xie K; Wu J; Zhang S; Mcauley J; Jannach D; Yao L, 2025, A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms, http://dx.doi.org/10.48550/arxiv.2504.16420

Lou H; Paik H-Y; Li S; Hu W; Yao L, 2025, Generalized Multilingual Text-to-Speech Generation with Language-Aware Style Adaptation, http://dx.doi.org/10.48550/arxiv.2504.08274

Chua J; Wang C; Yao L, 2025, Superhuman Game AI Disclosure: Expertise and Context Moderate Effects on Trust and Fairness, http://dx.doi.org/10.48550/arxiv.2503.15514

Wang H; Lu H; Yao L; Gong D, 2025, Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning, http://dx.doi.org/10.48550/arxiv.2403.18886

Huang C; Wu J; Xia Y; Yu Z; Wang R; Yu T; Zhang R; Rossi RA; Kveton B; Zhou D; McAuley J; Yao L, 2025, Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models, http://dx.doi.org/10.48550/arxiv.2503.16734

Zhou G; Xie S; Hao G-Y; Chen S; Huang B; Xu X; Wang C; Zhu L; Yao L; Zhang K, 2025, Emerging Synergies in Causality and Deep Generative Models: A Survey, http://dx.doi.org/10.48550/arxiv.2301.12351

Cao Y; Sheng QZ; McAuley J; Yao L, 2025, Reinforcement Learning for Generative AI: A Survey, http://dx.doi.org/10.48550/arxiv.2308.14328

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