By Professor Lina Yao

Conference Papers

Ye X; Huang C; Huang H; Wang S; Yao L, 2026, 'DPGFlow: Decoupled Preference Guided Flow Matching for Cross Domain Sequential Recommendation', Association for Computing Machinery (ACM), pp. 192 - 200, presented at Proceedings of the 20th ACM Conference on Recommender Systems, http://dx.doi.org/10.1145/3773078.3831749

Li X; Yang S; Xu Z; Xia F; Sheng QZ; Yao L, 2026, 'Causal Abstraction Learning for Multi-Modal Grounded Planning', Association for Computing Machinery (ACM), pp. 2790 - 2801, presented at Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2, http://dx.doi.org/10.1145/3770855.3817995

Wang R; Wu J; Xia Y; Yu T; Rossi RA; McAuley J; Yao L, 2026, 'DICE: Dynamic In-Context Example Selection in LLM Agents via Efficient Knowledge Transfer', Association for Computing Machinery (ACM), pp. 4999 - 5010, presented at Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2, http://dx.doi.org/10.1145/3770855.3818028

Jiang W; Liu Y; Gao E; Abbasnejad E; Yao L; Shi JQ, 2026, 'Learning Latent Dynamical Causal Processes for Single-Cell Perturbation Prediction', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 11177 - 11188, http://dx.doi.org/10.1145/3770855.3818868

Chen X; Wang S; Yao L, 2026, 'Advantage-Conditioned Flow Policy for Offline Reinforcement Learning in Recommendation', in SIGIR 2026 Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 179 - 189, http://dx.doi.org/10.1145/3805712.3809626

Gao T; Huang C; Wang Z; Liu C; Zeng K; Yao L, 2026, 'Factorized Latent Reasoning for LLM-based Recommendation', in SIGIR 2026 Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 392 - 402, http://dx.doi.org/10.1145/3805712.3809559

Yin H; Yuan W; Zhang Y; Mackenzie J; Nguyen QVH; Zhao WX; Li Y; Yao L, 2026, 'LLM-UP: SIGIR 2026 Workshop on LLM-powered User Profiling for Search and Recommendation', in SIGIR 2026 Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 5398 - 5401, http://dx.doi.org/10.1145/3805712.3808652

Wang X; Wang Z; Huang C; Sheng QZ; Yao L, 2026, 'MEG-RAG: Quantifying Multi-modal Evidence Grounding for Evidence Selection in RAG', in SIGIR 2026 Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 4250 - 4255, http://dx.doi.org/10.1145/3805712.3809947

Wang X; Wang Z; Huang C; Liu C; Zeng K; Sheng QZ; Yao L, 2026, 'Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG', in SIGIR 2026 Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1880 - 1891, http://dx.doi.org/10.1145/3805712.3809692

Wang C; Fan H; Yang H; Karimi S; Yao L; Yang Y, 2026, 'RegionSLM: Region-aware Question Answering on Document Screenshots', in SIGIR 2026 Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1789 - 1799, http://dx.doi.org/10.1145/3805712.3809603

Zhang K; Tang J; Su D; Liu S; Mcauley J; Yao L; Cao Q; Feng Y; Sun F, 2026, 'The 2nd Workshop on Human-Centered Recommender Systems', in Www Companion 2026 Companion Proceedings of the ACM Web Conference 2026, pp. 636 - 639, http://dx.doi.org/10.1145/3774905.3794659

Yang S; Hu Z; Li X; Wang C; Yu T; Xu X; Zhu L; Yao L, 2026, 'DrunkAgent: Stealthy Memory Corruption in LLM-Powered Recommender Agents', in Www 2026 Proceedings of the ACM Web Conference 2026, pp. 6853 - 6864, http://dx.doi.org/10.1145/3774904.3792688

Ye X; Huang C; Huang H; Yao L, 2026, 'Gaussian Mixture Flow Matching with Domain Alignment for Multi-Domain Sequential Recommendation', in Www 2026 Proceedings of the ACM Web Conference 2026, pp. 6159 - 6170, http://dx.doi.org/10.1145/3774904.3792279

Jiao S; Xiao X; Wei Y; Qi S; Huang C; Sheng QZ; Yao L, 2026, 'PruneRAG: Confidence-Guided Query Decomposition Trees for Efficient Retrieval-Augmented Generation', in Www 2026 Proceedings of the ACM Web Conference 2026, pp. 1923 - 1934, http://dx.doi.org/10.1145/3774904.3792103

Huang H; Huang C; Yu T; Chang X; Hu W; McAuley J; Yao L, 2026, 'Dual Conditional Diffusion for Sequential Recommendation', in Wsdm 2026 Proceedings of the 19th ACM International Conference on Web Search and Data Mining, pp. 206 - 216, http://dx.doi.org/10.1145/3773966.3777926

Meng K; Xu X; Xiang H; Chen P; Cui G; Zhang X; Qi L; Yao L; Dou W, 2026, 'Collaborative Assurance of on-Device Model Inference Services in AIoT Environment', in Proceedings of the IEEE International Conference on Web Services Icws, pp. 168 - 178, http://dx.doi.org/10.1109/ICWS72778.2026.00034

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', in Lecture Notes in Computer Science, pp. 203 - 221, http://dx.doi.org/10.1007/978-981-92-1468-6_12

Chua J; Wang C; Zhu L; Yao L, 2026, 'Guardrail Guided Policy Optimisation: Learning Disentangled Safety Constraints', in Lecture Notes in Computer Science, pp. 414 - 425, http://dx.doi.org/10.1007/978-981-95-4972-6_32

Lou H; Paik HY; Hu W; Yao L, 2026, 'ParaMETA: Towards Learning Disentangled Paralinguistic Speaking Styles Representations from Speech', in Proceedings of the Aaai Conference on Artificial Intelligence, pp. 32311 - 32319, http://dx.doi.org/10.1609/aaai.v40i38.40505

Lou H; Paik HY; Suleiman B; Hu W; Yao L, 2025, 'Achoio: A Skill-Aware Evaluation Management System for Text-To-Speech Research', in Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management, pp. 6668 - 6672, http://dx.doi.org/10.1145/3746252.3761492

He E; Hao Y; Zhang Y; Yin G; Yao L, 2025, 'Addressing the Distortion of Community Representations in Anomaly Detection on Attributed Networks', in Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management, pp. 813 - 822, http://dx.doi.org/10.1145/3746252.3761418

Pan L; Cao Y; Huang C; Zhang W; Yao L, 2025, 'Eliminating Sentiment Bias in Recommender Systems by Counterfactual Inference', in Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management, pp. 5079 - 5083, http://dx.doi.org/10.1145/3746252.3760923

Chen X; Wang S; Yao L, 2025, 'Energy-Guided Diffusion Sampling for Long-Term User Behavior Prediction in Reinforcement Learning-based Recommendation', in Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management, pp. 322 - 331, http://dx.doi.org/10.1145/3746252.3761076

Huang H; Chang X; Yao L, 2025, 'Flexiffusion: Training-Free Segment-Wise Neural Architecture Search for Efficient Diffusion Models', in Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management, pp. 949 - 959, http://dx.doi.org/10.1145/3746252.3761406

Chen X; Wang S; Yao L, 2025, 'Maximum In-Support Return Modeling for Dynamic Recommendation with Language Model Prior', in Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management, pp. 332 - 341, http://dx.doi.org/10.1145/3746252.3761336

Yang L; Zhang WE; Sheng QZ; Yao L; Chen W; Shakeri A, 2025, 'MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning', in Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management, pp. 3783 - 3793, http://dx.doi.org/10.1145/3746252.3761140

Lou H; Paik HY; Hu W; Yao L, 2025, 'ParaStyleTTS: Toward Efficient and Robust Paralinguistic Style Control for Expressive Text-to-Speech Generation', in Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management, pp. 1979 - 1988, http://dx.doi.org/10.1145/3746252.3761311

Yuan H; Zhang Y; Sheng QZ; Yao L; Zhou Y; He X; Wang Z, 2025, 'PKGRec: Personal Knowledge Graph Construction and Mining for Federated Recommendation Enhancement', in Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management, pp. 3973 - 3982, http://dx.doi.org/10.1145/3746252.3761301

Li X; Wang R; Gao E; Gong M; Yao L, 2025, 'Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation', in Mm 2025 Proceedings of the 33rd ACM International Conference on Multimedia Co Located with mm 2025, pp. 5208 - 5217, http://dx.doi.org/10.1145/3746027.3755820

Li Y; Yao L; Liu Z, 2025, 'Compositional Zero-Shot Learning with Contextualized Cues and Adaptive Contrastive Training', in Mm 2025 Proceedings of the 33rd ACM International Conference on Multimedia Co Located with mm 2025, pp. 4534 - 4541, http://dx.doi.org/10.1145/3746027.3755492

Wang R; Yu T; Wu J; Liu Y; McAuley J; Yao L, 2025, 'Weakly-supervised VLM-guided Partial Contrastive Learning for Visual Language Navigation', in 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, pp. 15328 - 15335, presented at 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 19 October 2025 - 25 October 2025, http://dx.doi.org/10.1109/iros60139.2025.11247068

Huang C; Wu J; Yu T; McAuley J; Yao L, 2025, 'A Tutorial on Agentic LLM for Recommender Systems', in Recsys2025 Proceedings of the 19th ACM Conference on Recommender Systems, pp. 1417 - 1419, http://dx.doi.org/10.1145/3705328.3748007

Wang C; Fan H; Quan R; Yao L; Yang Y, 2025, 'ProtChatGPT: Towards Understanding Proteins with Hybrid Representation and Large Language Models', in SIGIR 2025 Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1076 - 1086, http://dx.doi.org/10.1145/3726302.3730064

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 Www Companion 2025 Companion Proceedings of the ACM Web Conference 2025, pp. 2377 - 2380, 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 ACM Sensys 2025 23rd ACM Conference on Embedded Networked Sensor Systems in Transactions to Conference Embedded Artificial Intelligence and Sensing Systems, pp. 158 - 171, 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 C; Fan H; Yang H; Karimi S; Yao L; Yang Y, 2025, 'Adapting Text-to-Image Generation with Feature Difference Instruction for Generic Image Restoration', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 23539 - 23550, http://dx.doi.org/10.1109/CVPR52734.2025.02192

Soltani B; Zhou Y; Thabet S; Alhazmi E; Yao L; Sheng QZ, 2025, 'Beyond Parameters: Locally-Guided Knowledge Distillation for Decentralized Federated Learning', in Proceedings IEEE International Conference on Data Mining Icdm, pp. 723 - 732, http://dx.doi.org/10.1109/ICDM65498.2025.00080

Wang R; Liu Y; Cao Y; Yao L, 2025, 'Causality-Aware Transformer Networks for Robotic Navigation', in Communications in Computer and Information Science, pp. 403 - 418, http://dx.doi.org/10.1007/978-981-96-7030-7_28

Li X; Wu J; Yu T; Wang R; Wang Y; Chen X; Gu J; Yao L; McAuley J; Shang J, 2025, 'CoMMIT: Coordinated Multimodal Instruction Tuning', in Emnlp 2025 2025 Conference on Empirical Methods in Natural Language Processing Proceedings of the Conference, pp. 11522 - 11536, http://dx.doi.org/10.18653/v1/2025.emnlp-main.582

Zhou C; Yao L; Li H; Gong M, 2025, 'Counterfactual Implicit Feedback Modeling', in Advances in Neural Information Processing Systems, pp. 15269 - 15292

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

Chen X; Wang S; Yu T; Yao L, 2025, 'Diffusion Policies for Risk-Averse Behavior Modeling in Offline Reinforcement Learning', in IEEE International Conference on Intelligent Robots and Systems, pp. 567 - 574, http://dx.doi.org/10.1109/IROS60139.2025.11245819

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

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', in Proceedings of Machine Learning Research, pp. 64628 - 64654

Nguyen D; Chen J; Wang Y; Wu G; Park N; Hu Z; Lyu H; Wu J; Aponte R; Xia Y; Li X; Shi J; Chen H; Lai VD; Xie Z; Kim S; Zhang R; Yu T; Tanjim M; Ahmed NK; Mathur P; Yoon S; Yao L; Kil J; Kveton B; Nguyen TH; Bui T; Zhou T; Rossi RA; Dernoncourt F, 2025, 'GUI Agents: A Survey', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 22522 - 22538, http://dx.doi.org/10.18653/v1/2025.findings-acl.1158

Xiang Y; Hong Z; Yao L; Wang D; Liu T, 2025, 'Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 30671 - 30681, http://dx.doi.org/10.1109/CVPR52734.2025.02856

Lou H; Paik HY; Haghighi PD; Li S; Hu W; Yao L, 2025, 'LatentSpeech: Latent Diffusion for Text-To-Speech Generation', in IEEE International Workshop on Robot and Human Communication Ro Man, pp. 537 - 543, http://dx.doi.org/10.1109/RO-MAN63969.2025.11217842

Huang H; Huang C; Wu J; Yu T; McAuley J; Yao L, 2025, 'Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction', in Advances in Neural Information Processing Systems, pp. 176871 - 176896

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