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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, ACM, pp. 19 - 24, presented at ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, 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, ACM, pp. 1933 - 1937, presented at SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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
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, IEEE, pp. 2980 - 2989, presented at 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 18 June 2022 - 24 June 2022, http://dx.doi.org/10.1109/CVPR52688.2022.00300
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, IEEE, pp. 1 - 9, presented at 2022 IEEE International Conference on Services Computing (SCC), 10 July 2022 - 16 July 2022, http://dx.doi.org/10.1109/SCC55611.2022.00015
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, IEEE, pp. 305 - 314, presented at 2022 IEEE International Conference on Services Computing (SCC), 10 July 2022 - 16 July 2022, http://dx.doi.org/10.1109/SCC55611.2022.00051
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
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
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), Springer International Publishing, pp. 393 - 404, http://dx.doi.org/10.1007/978-3-030-97546-3_32
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
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
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, IEEE, pp. 4749 - 4758, presented at 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 20 June 2021 - 25 June 2021, http://dx.doi.org/10.1109/CVPR46437.2021.00472
Wang X; Yao L; Wang X; Paik HY; Wang S, 2021, 'Global Convolutional Neural Processes', in Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE, pp. 699 - 708, presented at 2021 IEEE International Conference on Data Mining (ICDM), 07 December 2021 - 10 December 2021, http://dx.doi.org/10.1109/ICDM51629.2021.00081
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, IEEE, pp. 101 - 110, presented at 2021 IEEE International Conference on Data Mining (ICDM), 07 December 2021 - 10 December 2021, http://dx.doi.org/10.1109/ICDM51629.2021.00020
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
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
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
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
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
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, ACM, pp. 715 - 724, presented at CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 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 Larochelle H; Ranzato M; Hadsell R; Balcan MF; Lin H (eds.), Advances in Neural Information Processing Systems, NEURAL INFORMATION PROCESSING SYSTEMS (NIPS), ELECTR NETWORK, presented at 34th Conference on Neural Information Processing Systems (NeurIPS), ELECTR NETWORK, 06 December 2020 - 12 December 2020, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000627697000037&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
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
Zhang C; Song Y; Yao L; Cai W, 2020, 'Shape-oriented convolution neural network for point cloud analysis', in AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, pp. 12773 - 12780
Zhang L; Wang X; Yao L; Wu L; Zheng F, 2020, 'Zero-shot object detection via learning an embedding from semantic space to visual space', in IJCAI International Joint Conference on Artificial Intelligence, pp. 906 - 912
Chen X; Huang C; Yao L; Wang X; Liu W; Zhang W, 2020, 'Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation', in arXiv preprint arXiv:2004.08068
Li C; Bai L; Liu W; Yao L; Waller S, 2019, 'Passenger Demographic Attributes Prediction for Human-Centered Public Transport', in Gedeon T; Wong K; Lee M (eds.), International Conference on Neural Information Processing, Springer, Cham, Sydney, Australia, pp. 486 - 494, presented at International Conference on Neural Information Processing, Sydney, Australia, 12 December 2019 - 15 December 2019, http://dx.doi.org/10.1007/978-3-030-36808-1_53
Zhang S; Tay Y; Yao L; Liu Q, 2019, 'Quaternion knowledge graph embeddings', in Advances in Neural Information Processing Systems, Vancouver, Canada, pp. 2731 - 2741, presented at 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, Dec 10-12, 2019, Vancouver, Canada, 10 December 2019 - 12 December 2019
Chen X; Huang C; Zhang X; Wang X; Liu W; Yao L, 2019, 'Expert2Vec: Distributed Expert Representation Learning in Question Answering Community', in International Conference on Advanced Data Mining and Applications, Springer, pp. 288 - 301, presented at ADMA, Springer, 21 November 2019 - 23 November 2019, http://dx.doi.org/10.1007/978-3-030-35231-8_21
Altulyan MS; Huang C; Yao L; Wang X; Kanhere S; Cao Y, 2019, 'Reminder Care System: An Activity-Aware Cross-Device Recommendation System', in International Conference on Advanced Data Mining and Applications, Springer, pp. 207 - 220, presented at ADMA, Springer, 21 November 2019 - 23 November 2019, http://dx.doi.org/10.1007/978-3-030-35231-8_15
Jia H; Wu Y; Liu J; Yao L; Hu W, 2019, 'Mobile golf swing tracking using deep learning with data fusion: Poster abstract', in SenSys 2019 - Proceedings of the 17th Conference on Embedded Networked Sensor Systems, pp. 422 - 423, http://dx.doi.org/10.1145/3356250.3361968