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2021 Conference Publication Global convolutional neural processesWang, Xuesong, Yao, Lina, Wang, Xianzhi, Paik, Hye-Young and Wang, Sen (2021). Global convolutional neural processes. 21st IEEE International Conference on Data Mining (IEEE ICDM), Auckland, New Zealand, 7-10 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDM51629.2021.00081 |
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2021 Conference Publication Self-attention enhanced patient journey understanding in healthcare systemPeng, Xueping, Long, Guodong, Shen, Tao, Wang, Sen and Jiang, Jing (2021). Self-attention enhanced patient journey understanding in healthcare system. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Ghent, Belgium, 14-18 September 2020. Cham, Switzerland: Springer Science and Business Media Deutschland. doi: 10.1007/978-3-030-67664-3_43 |
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2021 Edited Outputs Databases Theory and Applications : 32nd Australasian Database Conference, ADC 2021, Dunedin, New Zealand, January 29 – February 5, 2021, ProceedingsQiao, Miao, Vossen, Gottfried, Wang, Sen and Li, Lei eds. (2021). Databases Theory and Applications : 32nd Australasian Database Conference, ADC 2021, Dunedin, New Zealand, January 29 – February 5, 2021, Proceedings. 32nd Australasian Database Conference, ADC 2021, Dunedin, New Zealand, January 29 – February 5 2021. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-69377-0 |
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2020 Conference Publication BiteNet: bidirectional temporal encoder network to predict medical outcomesPeng, Xueping, Long, Guodong, Shen, Tao, Wang, Sen, Jiang, Jing and Zhang, Chengqi (2020). BiteNet: bidirectional temporal encoder network to predict medical outcomes. IEEE International Conference on Data Mining (ICDM), Sorrento, Italy, 17-20 November 2020. Piscataway, NJ, United States: IEEE. doi: 10.1109/icdm50108.2020.00050 |
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2020 Conference Publication Rethinking generative zero-shot learning: an ensemble learning perspective for recognising visual patchesChen, Zhi, Wang, Sen, Li, Jingjing and Huang, Zi (2020). Rethinking generative zero-shot learning: an ensemble learning perspective for recognising visual patches. MM '20: Proceedings of the 28th ACM International Conference on Multimedia, New York, NY USA, 12-16 October 2020. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3394171.3413813 |
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2020 Conference Publication Memory-Based Network for Scene Graph with Unbalanced RelationsWang, Weitao, Liu, Ruyang, Wang, Meng, Wang, Sen, Chang, Xiaojun and Chen, Yang (2020). Memory-Based Network for Scene Graph with Unbalanced Relations. MM '20: The 28th ACM International Conference on Multimedia, Seattle, WA United States, 12 - 16 October 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3394171.3413507 |
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2020 Journal Article Editorial for application-driven knowledge acquisitionLi, Xue, Wang, Sen and Li, Bohan (2020). Editorial for application-driven knowledge acquisition. World Wide Web, 23 (5), 2649-2651. doi: 10.1007/s11280-020-00827-6 |
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2020 Conference Publication ZSTAD: Zero-Shot Temporal Activity DetectionZhang, Lingling, Chang, Xiaojun, Liu, Jun, Luo, Minnan, Wang, Sen, Ge, Zongyuan and Hauptmann, Alexander (2020). ZSTAD: Zero-Shot Temporal Activity Detection. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA United States, 13-19 June 2020. Piscataway, NJ United States: IEEE. doi: 10.1109/CVPR42600.2020.00096 |
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2020 Conference Publication Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive VariablesZhang, Jiaqi, Wang, Meng, Li, Qinchi, Wang, Sen, Chang, Xiaojun and Wang, Beilun (2020). Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables. Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI-20), Yokohama, Japan, 7 - 15 January 2021. Palo Alto, CA United States: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2020/410 |
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2020 Journal Article Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention RecognitionZhang, Dalin, Yao, Lina, Chen, Kaixuan, Wang, Sen, Chang, Xiaojun and Liu, Yunhao (2020). Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition. IEEE Transactions on Cybernetics, 50 (7) 8698218, 3033-3044. doi: 10.1109/TCYB.2019.2905157 |
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2020 Conference Publication Adaptive two-dimensional embedded image clusteringLi, Zhihui, Yao, Lina, Wang, Sen, Kanhere, Salil, Li, Xue and Zhang, Huaxiang (2020). Adaptive two-dimensional embedded image clustering. The Thirty-Fourth AAAI Conference on Artificial Intelligence, New York, NY, United States, 7-12 February 2020. Palo Alto, CA, United States: AAAI Press. |
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2020 Conference Publication One-Shot Learning for Long-Tail Visual Relation DetectionWang, Weitao, Wang, Meng, Wang, Sen, Long, Guodong, Yao, Lina, Qi, Guilin and Chen, Yang (2020). One-Shot Learning for Long-Tail Visual Relation Detection. 34th AAAI Conference on Artificial Intelligence / 32nd Innovative Applications of Artificial Intelligence Conference / 10th AAAI Symposium on Educational Advances in Artificial Intelligence, New York, NY United States, 7-12 February 2020. Palo Alto, CA United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v34i07.6904 |
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2019 Journal Article A Graph-Based Hierarchical Attention Model for Movement Intention Detection from EEG SignalsZhang, Dalin, Yao, Lina, Chen, Kaixuan, Wang, Sen, Haghighi, Pari Delir and Sullivan, Caley (2019). A Graph-Based Hierarchical Attention Model for Movement Intention Detection from EEG Signals. IEEE Transactions On Neural Systems and Rehabilitation Engineering, 27 (11) 8847648, 2247-2253. doi: 10.1109/TNSRE.2019.2943362 |
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2019 Conference Publication Learning attentional temporal cues of brainwaves with spatial embedding for motion intent detectionZhang, Dalin, Chen, Kaixuan, Jian, Debao, Yao, Lina, Wang, Sen and Li, Po (2019). Learning attentional temporal cues of brainwaves with spatial embedding for motion intent detection. 19th IEEE International Conference on Data Mining (ICDM), Beijing, China, 8-11 November 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDM.2019.00189 |
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2019 Conference Publication Collective protection: Preventing sensitive inferences via integrative transformationZhang, Dalin, Yao, Lina, Chen, Kaixuan, Long, Guodong and Wang, Sen (2019). Collective protection: Preventing sensitive inferences via integrative transformation. 19th IEEE International Conference on Data Mining (ICDM), Beijing, China, 8-11 November 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDM.2019.00197 |
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2019 Conference Publication Learning to hash for efficient search over incomplete knowledge graphsWang, Meng, Shen, Haomin, Wang, Sen, Yao, Lina, Jiang, Yinlin, Qi, Guilin and Chen, Yang (2019). Learning to hash for efficient search over incomplete knowledge graphs. 19th IEEE International Conference on Data Mining (ICDM), Beijing, China, 8-11 November 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDM.2019.00174 |
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2019 Conference Publication Temporal self-attention network for medical concept embeddingPeng, Xueping, Long, Guodong, Shen, Tao, Wang, Sen, Jiang, Jing and Blumenstein, Michael (2019). Temporal self-attention network for medical concept embedding. 19th IEEE International Conference on Data Mining (ICDM), Beijing, China, 8-11 November 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDM.2019.00060 |
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2019 Conference Publication Distributionally Robust Semi-Supervised Learning for People-Centric SensingChen, Kaixuan, Yao, Lina, Zhang, Dalin, Chang, Xiaojun, Long, Guodong and Wang, Sen (2019). Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. 33rd AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, HI United States, 27 January – 1 February 2019. Menlo Park, CA United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/aaai.v33i01.33013321 |
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2019 Journal Article Systematic review and meta-analysis of the association between dimensions of inequality and a selection of indicators of Reproductive, Maternal, Newborn and Child Health (RMNCH)Adegbosin, Adeyinka E., Zhou, Hong, Wang, Sen, Stantic, Bela and Sun, Jing (2019). Systematic review and meta-analysis of the association between dimensions of inequality and a selection of indicators of Reproductive, Maternal, Newborn and Child Health (RMNCH). Journal of Global Health, 9 (1) 010429, 1-13. doi: 10.7189/jogh.09.010429 |
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2019 Journal Article PrefaceLi, Jianxin and Wang, Sen (2019). Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11888 LNAI, v-vi. |
