By Professor Lina Yao

Conference Papers

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

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; Xiong Y; Li X; Xia Y; Wang R; Wang Y; Yu T; Kim S; Rossi R; Yao L; Shang J; McAuley J, 2025, 'Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent', in Emnlp 2025 2025 Conference on Empirical Methods in Natural Language Processing Findings of Emnlp 2025, pp. 2282 - 2295, http://dx.doi.org/10.18653/v1/2025.findings-emnlp.123

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

Xia Y; Shen Y; Wu J; Yu T; Kim S; Rossi RA; Yao L; McAuley J, 2025, 'SAND: Boosting LLM Agents with Self-Taught Action Deliberation', in Emnlp 2025 2025 Conference on Empirical Methods in Natural Language Processing Proceedings of the Conference, pp. 3062 - 3077, http://dx.doi.org/10.18653/v1/2025.emnlp-main.152

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

Zhang X; Liu D; Liu H; Zhang Q; Meng H; Garcia LP; Chng ES; Yao L, 2024, 'Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model', in Emnlp 2024 2024 Conference on Empirical Methods in Natural Language Processing Proceedings of the Conference, pp. 159 - 171, http://dx.doi.org/10.18653/v1/2024.emnlp-main.9

Haghighi V; Soltani B; Shabani N; Wu J; Zhang Y; Yao L; Sheng QZ; Yang J, 2024, 'TROPICAL: Transformer-Based Hypergraph Learning for Camouflaged Fraudster Detection', in Proceedings IEEE International Conference on Data Mining Icdm, pp. 121 - 130, http://dx.doi.org/10.1109/ICDM59182.2024.00019

Wu Y; Yao J; Han B; Yao L; Liu T, 2024, 'Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning', in Proceedings of Machine Learning Research, pp. 53928 - 53943

Zhang Q; Guo B; Yao L; Wang H; Zhang Y; Yu Z, 2023, 'ALDA: An Adaptive Layout Design Assistant for Diverse Posters throughout the Design Process', in Mm 2023 Proceedings of the 31st ACM International Conference on Multimedia, pp. 9405 - 9407, http://dx.doi.org/10.1145/3581783.3612677

Zhou G; Huang C; Chen X; Xu X; Wang C; Zhu L; Yao L, 2023, 'Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems', in International Conference on Information and Knowledge Management Proceedings, pp. 3564 - 3573, http://dx.doi.org/10.1145/3583780.3614823

Ye Z; Du J; Liu Y; Zhang Y; Yao L, 2023, 'NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes', in International Conference on Information and Knowledge Management Proceedings, pp. 5123 - 5127, http://dx.doi.org/10.1145/3583780.3614749

Ye X; Li Y; Yao L, 2023, 'DREAM: Decoupled Representation via Extraction Attention Module and Supervised Contrastive Learning for Cross-Domain Sequential Recommender', in Proceedings of the 17th ACM Conference on Recommender Systems Recsys 2023, pp. 479 - 490, http://dx.doi.org/10.1145/3604915.3608780

Wang S; Chen X; Jannach D; Yao L, 2023, 'Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning', in SIGIR 2023 Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1599 - 1608, http://dx.doi.org/10.1145/3539618.3591648

Wang S; Chen X; Sheng QZ; Zhang Y; Yao L, 2023, 'Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation', in SIGIR 2023 Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1874 - 1878, http://dx.doi.org/10.1145/3539618.3591961

Huang C; Wang S; Wang X; Yao L, 2023, 'Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation', in SIGIR 2023 Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 99 - 109, http://dx.doi.org/10.1145/3539618.3591672

Wang H; Gao C; Wu Y; Jin D; Yao L; Li Y, 2023, 'PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning', in Proceedings of the 37th Aaai Conference on Artificial Intelligence Aaai 2023, pp. 14539 - 14547, http://dx.doi.org/10.1609/aaai.v37i12.26700

Huang C; Wang S; Wang X; Yao L, 2023, 'Modeling Temporal Positive and Negative Excitation for Sequential Recommendation', in ACM Web Conference 2023 Proceedings of the World Wide Web Conference Www 2023, pp. 1252 - 1263, http://dx.doi.org/10.1145/3543507.3583463

Li Z; Wang X; Yang C; Yao L; McAuley J; Xu G, 2023, 'Exploiting Explicit and Implicit Item relationships for Session-based Recommendation', in Wsdm 2023 Proceedings of the 16th ACM International Conference on Web Search and Data Mining, pp. 553 - 561, http://dx.doi.org/10.1145/3539597.3570432

Du J; Ye Z; Guo B; Yu Z; Yao L, 2023, 'IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation', in Wsdm 2023 Proceedings of the 16th ACM International Conference on Web Search and Data Mining, pp. 481 - 489, http://dx.doi.org/10.1145/3539597.3570373

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