By Professor Lina Yao

Conference Papers

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

Han M; Zhang DJ; Wang Y; Yan R; Yao L; Chang X; Qiao Y, 2022, 'Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 2980 - 2989, http://dx.doi.org/10.1109/CVPR52688.2022.00300

Chen X; Yao L; Chang X; Wang S, 2022, 'Empowerment-driven Policy Gradient Learning with Counterfactual Augmentation in Recommender Systems', in Proceedings IEEE International Conference on Data Mining Icdm, pp. 885 - 890, http://dx.doi.org/10.1109/ICDM54844.2022.00102

Alhosaini H; Wang X; Yao L; Yang Z; Hussain F; Lim EP, 2022, 'Harnessing Confidence for Report Aggregation in Crowdsourcing Environments', in Proceedings 2022 IEEE International Conference on Services Computing Scc 2022, pp. 305 - 314, http://dx.doi.org/10.1109/SCC55611.2022.00051

Pan L; Yao L; Zhang W; Wang X, 2022, 'Mitigating Multi-class Unintended Demographic Bias in Text Classification with Adversarial Learning', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 386 - 394, http://dx.doi.org/10.1007/978-3-031-20891-1_27

Li C; Bai L; Liu W; Yao L; Waller ST, 2022, 'UNSUPERVISED KNOWLEDGE ADAPTATION FOR PASSENGER DEMAND FORECASTING', in Proceedings of the 26th International Conference of Hong Kong Society for Transportation Studies Hksts 2022, pp. 500 - 508

Chen X; Yao L; Sun A; Wang X; Xu X; Zhu L, 2021, 'Generative Inverse Deep Reinforcement Learning for Online Recommendation', in International Conference on Information and Knowledge Management Proceedings, pp. 201 - 210, http://dx.doi.org/10.1145/3459637.3482347

Jia H; Liu J; Wu Y; Bednarz T; Yao L; Hu W, 2021, 'Condor: Mobile golf swing tracking via sensor fusion using conditional generative adversarial networks', in International Conference on Embedded Wireless Systems and Networks, Netherlands, presented at International Conference on Embedded Wireless Systems and Networks, EWSN 2021, Netherlands, 17 February 2021, https://dl.acm.org/doi/10.5555/3451271.3451275

Wang B; Chen S; Yao L; Wang Q, 2021, 'ChainSim: A P2P Blockchain Simulation Framework', in Communications in Computer and Information Science, pp. 1 - 16, http://dx.doi.org/10.1007/978-981-33-6478-3_1

Altulayan MS; Huang C; Yao L; Wang X; Kanhere S, 2021, 'Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 37 - 49, http://dx.doi.org/10.1007/978-3-030-69377-0_4

Salama U; Chen X; Yao L; Paik HY; Wang X, 2021, 'Deep Multi-view Spatio-Temporal Network for Urban Crime Prediction', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 50 - 61, http://dx.doi.org/10.1007/978-3-030-69377-0_5

Wang X; Yao L; Wang X; Paik HY; Wang S, 2021, 'Global Convolutional Neural Processes', in Proceedings IEEE International Conference on Data Mining Icdm, pp. 699 - 708, http://dx.doi.org/10.1109/ICDM51629.2021.00081

Yue L; Tian D; Jiang J; Yao L; Chen W; Zhao X, 2021, 'Intention Recognition from Spatio-Temporal Representation of EEG Signals', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 1 - 12, http://dx.doi.org/10.1007/978-3-030-69377-0_1

Dong M; Yao L; Wang X; Xu X; Zhu L, 2021, 'MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning', in Proceedings IEEE International Conference on Data Mining Icdm, pp. 101 - 110, http://dx.doi.org/10.1109/ICDM51629.2021.00020

Liu Z; Li Y; Yao L; Wang X; Long G, 2021, 'Task Aligned Generative Meta-learning for Zero-shot Learning', in 35th Aaai Conference on Artificial Intelligence Aaai 2021, pp. 8723 - 8731, http://dx.doi.org/10.1609/aaai.v35i10.17057

Li Z; Yao L, 2021, 'Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 4749 - 4758, http://dx.doi.org/10.1109/CVPR46437.2021.00472

Huang C; Yao L, 2020, 'Active Object Estimation for Human-Robot Collaborative Tasks', Online / Bangkok, Thailand, presented at The 27th International Conference on Neural Information Processing, Online / Bangkok, Thailand, 18 November 2020 - 22 November 2020, http://dx.doi.org/10.1007/978-3-030-63833-7_63

Yuan F; Yao L; Benatallah B, 2020, 'Exploring Missing Interactions: A Convolutional Generative Adversarial Network for Collaborative Filtering', in International Conference on Information and Knowledge Management Proceedings, pp. 1773 - 1782, http://dx.doi.org/10.1145/3340531.3411917

Li C; Bai L; Liu W; Yao L; Waller ST, 2020, 'Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network', in International Conference on Information and Knowledge Management Proceedings, pp. 715 - 724, http://dx.doi.org/10.1145/3340531.3411965

Li Y; Liu Z; Yao L; He Z, 2020, 'Non-local Self-attentive Autoencoder for Genetic Functionality Prediction', in International Conference on Information and Knowledge Management Proceedings, pp. 2117 - 2120, http://dx.doi.org/10.1145/3340531.3412084

Li Z; Chang X; Yao L; Pan S; Zongyuan G; Zhang H, 2020, 'Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 297 - 305, http://dx.doi.org/10.1145/3394486.3403072

Dong M; Yuan F; Yao L; Xu X; Zhu L, 2020, 'MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 688 - 697, http://dx.doi.org/10.1145/3394486.3403113

Liu Z; Yao L; Bai L; Wang X; Wang C, 2020, 'Spectrum-Guided Adversarial Disparity Learning', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 114 - 124, http://dx.doi.org/10.1145/3394486.3403054

Cao Y; Chen X; Yao L; Wang X; Zhang WE, 2020, 'Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems', in SIGIR 2020 Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1669 - 1672, http://dx.doi.org/10.1145/3397271.3401196

Liu Z; Yao L; Wang X; Bai L; An J, 2020, 'Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207111

Tao Y; Wang C; Yao L; Li W; Yu Y, 2020, 'TRec: Sequential Recommender Based on Latent Item Trend Information', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207708

Zhang L; Wang X; Yao L; Zheng F, 2020, 'Zero-Shot Object Detection with Textual Descriptions Using Convolutional Neural Networks', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207417

Bai L; Yao L; Li C; Wang X; Wang C, 2020, 'Adaptive graph convolutional recurrent network for traffic forecasting', in Advances in Neural Information Processing Systems

Wang X; Yao L; Liu W; Li C; Bai L; Waller ST, 2020, 'Mobility Irregularity Detection with Smart Transit Card Data', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 541 - 552, http://dx.doi.org/10.1007/978-3-030-47426-3_42

Wang W; Wang M; Wang S; Long G; Yao L; Qi G; Chen Y, 2020, 'One-shot learning for long-tail visual relation detection', in Aaai 2020 34th Aaai Conference on Artificial Intelligence, pp. 12225 - 12232

Bai L; Yao L; Wang X; Kanhere SS; Xiao Y, 2020, 'Prototype Similarity Learning for Activity Recognition', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 649 - 661, http://dx.doi.org/10.1007/978-3-030-47426-3_50

Li Y; Long G; Shen T; Zhou T; Yao L; Huo H; Jiang J, 2020, 'Self-attention enhanced selective gate with entity-aware embedding for distantly supervised relation extraction', in Aaai 2020 34th Aaai Conference on Artificial Intelligence, pp. 8269 - 8276

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