By Professor Lina Yao

Conference Papers

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

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/10.1109/ICASSP43922.2022.9747189

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

Zhou G; Yao L; Xu X; Wang C; Zhu L, 2022, 'Cycle-Balanced Representation Learning For Counterfactual Inference', in Proceedings of the 2022 SIAM International Conference on Data Mining Sdm 2022, pp. 442 - 450

Altulyan MS; Huang C; Yao L; Wang X; Kanhere S, 2022, 'Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 393 - 404, http://dx.doi.org/10.1007/978-3-030-97546-3_32

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