By Professor Lina Yao

Conference Papers

Liu R; Li M; Zhao S; Chen L; Chang X; Yao L, 2024, 'In-Context Learning for Zero-shot Medical Report Generation', in Proceedings of the 32nd ACM International Conference on Multimedia, ACM, pp. 8721 - 8730, presented at MM '24: The 32nd ACM International Conference on Multimedia, 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 Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, ACM, pp. 2900 - 2909, presented at CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management, 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 Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, ACM, pp. 2108 - 2117, presented at CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management, 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 Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, ACM, pp. 2390 - 2399, presented at CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management, 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

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; 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

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

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

Soltani B; Haghighi V; Mahmood A; Sheng QZ; Yao L, 2022, 'A survey on participant selection for federated learning in mobile networks', in Proceedings of the 17th ACM Workshop on Mobility in the Evolving Internet Architecture, MobiArch 2022, pp. 19 - 24, http://dx.doi.org/10.1145/3556548.3559633

Li J; Yao L; Li B; Wang X; Sammut C, 2022, 'Multi-agent Transformer Networks for Multimodal Human Activity Recognition', in International Conference on Information and Knowledge Management, Proceedings, pp. 1135 - 1145, http://dx.doi.org/10.1145/3511808.3557402

Liu Y; Yao L; Li B; Wang X; Sammut C, 2022, 'Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios', in International Conference on Information and Knowledge Management, Proceedings, pp. 1339 - 1349, http://dx.doi.org/10.1145/3511808.3557455

Du J; Yao L; Wang X; Guo B; Yu Z, 2022, 'Hierarchical Task-aware Multi-Head Attention Network', in SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1933 - 1937, http://dx.doi.org/10.1145/3477495.3531781

Chen X; Yao L; McAuley J; Guan W; Chang X; Wang X, 2022, 'Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation', in SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1316 - 1325, http://dx.doi.org/10.1145/3477495.3532015

Du J; Ye Z; Yao L; Guo B; Yu Z, 2022, 'Socially-aware Dual Contrastive Learning for Cold-Start Recommendation', in SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1927 - 1932, http://dx.doi.org/10.1145/3477495.3531780

Yang C; Wang X; Yao L; Jiang J; Xu G, 2022, 'An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 3 - 14, http://dx.doi.org/10.1007/978-3-030-97546-3_1

Yang C; Wang X; Yao L; Long G; Jiang J; Xu G, 2022, 'ATTENTIONAL GATED RES2NET FOR MULTIVARIATE TIME SERIES CLASSIFICATION', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 3308 - 3312, http://dx.doi.org/10.1007/s11063-022-10944-0

Alhosaini H; Wang X; Yao L; Chen Y; Xu G, 2022, 'Caching Hierarchical Skylines for Efficient Service Composition on Service Graphs', in Proceedings - 2022 IEEE International Conference on Services Computing, SCC 2022, pp. 1 - 9, http://dx.doi.org/10.1109/SCC55611.2022.00015

Ye Z; Yao L, 2022, 'Contrastive Conditional Neural Processes', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 9677 - 9686, http://dx.doi.org/10.1109/CVPR52688.2022.00946

Wang X; Yao L; Rekik I; Zhang Y, 2022, 'Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 221 - 230, http://dx.doi.org/10.1007/978-3-031-16431-6_21

Li X; Yao L, 2022, 'Contrastive Individual Treatment Effects Estimation', in Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 1053 - 1058, http://dx.doi.org/10.1109/ICDM54844.2022.00130

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