By Professor Lina Yao

Conference Papers

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; 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

Chen X; Wang S; Yu T; Yao L, 2025, 'Diffusion Policies for Risk-Averse Behavior Modeling in Offline Reinforcement Learning', in 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, pp. 567 - 574, 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/iros60139.2025.11245819

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 PROCEEDINGS OF THE 23RD ACM CONFERENCE ON EMBEDDED NETWORKED SENSOR SYSTEMS, SENSYS 2025, ASSOC COMPUTING MACHINERY, CA, Irvine, pp. 158 - 171, presented at 23rd Conference on Embedded Networked Sensor Systems-SENSYS, CA, Irvine, 06 May 2025 - 09 May 2025, 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; 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

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

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

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

Jha S; Yang S; Ishii M; Zhao M; Simon C; Mirza MJ; Gong D; Yao L; Takahashi S; Mitsufuji Y, 2025, 'MINING YOUR OWN SECRETS: DIFFUSION CLASSIFIER SCORES FOR CONTINUAL PERSONALIZATION OF TEXT-TO-IMAGE DIFFUSION MODELS', in 13th International Conference on Learning Representations Iclr 2025, pp. 43139 - 43168

Wu J; Li X; Wang R; Xia Y; Xiong Y; Wang J; Yu T; Chen X; Kveton B; Yao L; Shang J; McAuley J, 2025, 'OCEAN: OFFLINE CHAIN-OF-THOUGHT EVALUATION AND ALIGNMENT IN LARGE LANGUAGE MODELS', in 13th International Conference on Learning Representations Iclr 2025, pp. 74542 - 74561

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

Wang H; Lu H; Yao L; Gong D, 2025, 'Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 10087 - 10098, http://dx.doi.org/10.1109/CVPR52734.2025.00943

Han M; Yang L; Chang X; Yao L; Wang H, 2025, 'SHOT2STORY: A NEW BENCHMARK FOR COMPREHENSIVE UNDERSTANDING OF MULTI-SHOT VIDEOS', in 13th International Conference on Learning Representations Iclr 2025, pp. 37387 - 37399

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

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

Jha S; Gong D; Yao L, 2024, 'CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models', in Advances in Neural Information Processing Systems

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; Wang R; Cao Y; Sheng QZ; Yao L, 2024, 'Multi-agent Traffic Prediction via Denoised Endpoint Distribution', in IEEE International Conference on Intelligent Robots and Systems, pp. 13648 - 13655, http://dx.doi.org/10.1109/IROS58592.2024.10802142

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, http://dx.doi.org/10.18653/v1/2024.findings-naacl.286

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