By Professor Lina Yao

Conference Papers

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

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

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

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

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

Bai L; Wang X; Yao L; Liu W; Kanhere SS; Yang Z, 2019, 'Spatio-temporal graph convolutional and recurrent networks for citywide passenger demand prediction', in International Conference on Information and Knowledge Management, Proceedings, pp. 2293 - 2296, http://dx.doi.org/10.1145/3357384.3358097

Zhang D; Yao L; Chen K; Long G; Wang S, 2019, 'Collective protection: Preventing sensitive inferences via integrative transformation', in Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 1498 - 1503, http://dx.doi.org/10.1109/ICDM.2019.00197

Zhang X; Yao L; Wang X; Zhang W; Zhang S; Liu Y, 2019, 'Know your mind: Adaptive cognitive activity recognition with reinforced CNN', in Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 896 - 905, http://dx.doi.org/10.1109/ICDM.2019.00100

Zhang D; Chen K; Jian D; Yao L; Wang S; Li P, 2019, 'Learning attentional temporal cues of brainwaves with spatial embedding for motion intent detection', in Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 1450 - 1455, http://dx.doi.org/10.1109/ICDM.2019.00189

Wang M; Shen H; Wang S; Yao L; Jiang Y; Qi G; Chen Y, 2019, 'Learning to hash for efficient search over incomplete knowledge graphs', in Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 1360 - 1365, http://dx.doi.org/10.1109/ICDM.2019.00174

Yuan F; Yao L; Benatallah B, 2019, 'DARec: deep domain adaptation for cross-domain recommendation via transferring rating patterns', in IJCAI-19, Macao, China, pp. 4227 - 4233, presented at 28th International Joint Conference on Artificial Intelligence, August 10-16 2019, Macao, China, Macao, China, 10 August 2019 - 16 August 2019, http://dx.doi.org/10.24963/ijcai.2019/587

Chen K; Yao L; Zhang D; Guo B; Yu Z, 2019, 'Multi-agent attentional activity recognition', in IJCAI International Joint Conference on Artificial Intelligence, Macao, China, pp. 1344 - 1350, presented at Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19) - August 10-16 2019, Macao, China, Macao, China, 10 August 2019 - 16 August 2019

Liu L; Zhou T; Long G; Jiang J; Yao L; Zhang C, 2019, 'Prototype Propagation Networks (PPN) for weakly-supervised few-shot learning on category graph', in IJCAI International Joint Conference on Artificial Intelligence, Macao, China, pp. 3015 - 3022, presented at 28th International Joint Conference on Artificial Intelligence - IJCAI-19 – August 10-16 2019, Macao, China, Macao, China, 10 August 2019 - 16 August 2019

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