By Professor Lina Yao

Conference Papers

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 Companion Proceedings of the ACM on Web Conference 2025, ACM, pp. 2377 - 2380, presented at WWW '25: The ACM Web Conference 2025, 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, ACM, pp. 158 - 171, presented at SenSys '25: 23rd ACM Conference on Embedded Networked Sensor Systems, 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; 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

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

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

Zhang Y; Hara T; Yao L, 2023, 'Biased or Debiased: Polarization-aware Embedding Learning from Social Media Knowledge Graph', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN54540.2023.10191992

Li Y; Liu Z; Jha S; Yao L, 2023, 'Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning', in Proceedings of the IEEE International Conference on Computer Vision, pp. 1782 - 1791, http://dx.doi.org/10.1109/ICCV51070.2023.00171

Du J; Ye Z; Guo B; Yu Z; Yao L, 2023, 'Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation', in Proceedings IEEE International Conference on Data Mining Icdm, pp. 81 - 90, http://dx.doi.org/10.1109/ICDM58522.2023.00017

Yang C; Wang X; Yao L; Long G; Xu G, 2023, 'From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 19 - 33, http://dx.doi.org/10.1007/978-3-031-46661-8_2

Han M; Wang Y; Li Z; Yao L; Chang X; Qiao Y, 2023, 'HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation', in Proceedings of the IEEE International Conference on Computer Vision, pp. 13368 - 13377, http://dx.doi.org/10.1109/ICCV51070.2023.01234

Weng Y; Han M; He H; Li M; Yao L; Chang X; Zhuang B, 2023, 'Mask Propagation for Efficient Video Semantic Segmentation', in Advances in Neural Information Processing Systems

Zhou G; Yao L; Xu X; Wang C; Zhu L, 2023, 'Meta-learning for Estimating Multiple Treatment Effects with Imbalance', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 886 - 895, http://dx.doi.org/10.1007/978-981-99-7254-8_69

Jha S; Zhao H; Gong D; Yao L, 2023, 'NPCL: Neural Processes for Uncertainty-Aware Continual Learning', in Advances in Neural Information Processing Systems

Yang S; Yao L; Wang C; Xu X; Zhu L, 2023, 'Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems', in Proceedings IEEE International Conference on Data Mining Icdm, pp. 1481 - 1486, http://dx.doi.org/10.1109/ICDM58522.2023.00195

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