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2023

Journal Article

Recent applications of machine learning in alloy design: a review

Hu, Mingwei, Tan, Qiyang, Knibbe, Ruth, Xu, Miao, Jiang, Bin, Wang, Sen, Li, Xue and Zhang, Ming-Xing (2023). Recent applications of machine learning in alloy design: a review. Materials Science and Engineering: R: Reports, 155 100746, 100746. doi: 10.1016/j.mser.2023.100746

Recent applications of machine learning in alloy design: a review

2023

Journal Article

Dual-core mutual learning between scoring systems and clinical features for ICU mortality prediction

Shi, Zhenkun, Wang, Sen, Yue, Lin, Zhang, Yijia, Adhikari, Binod Kumar, Xue, Shuai, Zuo, Wanli and Li, Xue (2023). Dual-core mutual learning between scoring systems and clinical features for ICU mortality prediction. Information Sciences, 637 118984, 1-13. doi: 10.1016/j.ins.2023.118984

Dual-core mutual learning between scoring systems and clinical features for ICU mortality prediction

2023

Journal Article

Artificial Intelligence in Evidence-based Medicine:Challenges and Opportunities

Li, Xue, Zou, Catherine, Boots, Robert, Wang, Sen, Chen, Weitong and Zuccon, Guido (2023). Artificial Intelligence in Evidence-based Medicine:Challenges and Opportunities. World Scientific Annual Review of Artificial Intelligence, 01. doi: 10.1142/s2811032323300025

Artificial Intelligence in Evidence-based Medicine:Challenges and Opportunities

2023

Journal Article

GSMFlow: generation shifts mitigating flow for generalized zero-shot learning

Chen, Zhi, Luo, Yadan, Wang, Sen, Li, Jingjing and Huang, Zi (2023). GSMFlow: generation shifts mitigating flow for generalized zero-shot learning. IEEE Transactions on Multimedia, 25 (99), 5374-5385. doi: 10.1109/tmm.2022.3190678

GSMFlow: generation shifts mitigating flow for generalized zero-shot learning

2022

Journal Article

Predicting the crystal structure and lattice parameters of the perovskite materials via different machine learning models based on basic atom properties

Jarin, Sams, Yuan, Yufan, Zhang, Mingxing, Hu, Mingwei, Rana, Masud, Wang, Sen and Knibbe, Ruth (2022). Predicting the crystal structure and lattice parameters of the perovskite materials via different machine learning models based on basic atom properties. Crystals, 12 (11) 1570, 1-21. doi: 10.3390/cryst12111570

Predicting the crystal structure and lattice parameters of the perovskite materials via different machine learning models based on basic atom properties

2022

Journal Article

Application of novel subgroups of Chinese inpatients with diabetes based on machine learning paradigm

Wang, Weihao, Chen, Zhi, Wang, Sen, Chen, Fei, Deng, Mingqun, Pan, Qi and Guo, Lixin (2022). Application of novel subgroups of Chinese inpatients with diabetes based on machine learning paradigm. Diabetes and Metabolic Syndrome: Clinical Research and Reviews, 16 (7) 102556, 1-4. doi: 10.1016/j.dsx.2022.102556

Application of novel subgroups of Chinese inpatients with diabetes based on machine learning paradigm

2022

Journal Article

A multi-level neural network for implicit causality detection in web texts

Liang, Shining, Zuo, Wanli, Shi, Zhenkun, Wang, Sen, Wang, Junhu and Zuo, Xianglin (2022). A multi-level neural network for implicit causality detection in web texts. Neurocomputing, 481, 121-132. doi: 10.1016/j.neucom.2022.01.076

A multi-level neural network for implicit causality detection in web texts

2022

Journal Article

Information resilience: the nexus of responsible and agile approaches to information use

Sadiq, Shazia, Aryani, Amir, Demartini, Gianluca, Hua, Wen, Indulska, Marta, Burton-Jones, Andrew, Khosravi, Hassan, Benavides-Prado, Diana, Sellis, Timos, Someh, Ida, Vaithianathan, Rhema, Wang, Sen and Zhou, Xiaofang (2022). Information resilience: the nexus of responsible and agile approaches to information use. The VLDB Journal, 31 (5), 1059-1084. doi: 10.1007/s00778-021-00720-2

Information resilience: the nexus of responsible and agile approaches to information use

2022

Journal Article

Uncertainty estimation with neural processes for meta-continual learning

Wang, Xuesong, Yao, Lina, Wang, Xianzhi, Paik, Hye-Young and Wang, Sen (2022). Uncertainty estimation with neural processes for meta-continual learning. IEEE Transactions on Neural Networks and Learning Systems, 34 (10), 6887-6897. doi: 10.1109/tnnls.2022.3215633

Uncertainty estimation with neural processes for meta-continual learning

2021

Journal Article

Deep dynamic imputation of clinical time series for mortality prediction

Shi, Zhenkun, Wang, Sen, Yue, Lin, Pang, Lixin, Zuo, Xianglin, Zuo, Wanli and Li, Xue (2021). Deep dynamic imputation of clinical time series for mortality prediction. Information Sciences, 579, 607-622. doi: 10.1016/j.ins.2021.08.016

Deep dynamic imputation of clinical time series for mortality prediction

2021

Journal Article

Efficient search over incomplete knowledge graphs in binarized embedding space

Wang, Meng, Chen, Weitong, Wang, Sen, Jiang, Yinlin, Yao, Lina and Qi, Guilin (2021). Efficient search over incomplete knowledge graphs in binarized embedding space. Future Generation Computer Systems, 123, 24-34. doi: 10.1016/j.future.2021.04.006

Efficient search over incomplete knowledge graphs in binarized embedding space

2021

Journal Article

Scalable estimator for multi-task gaussian graphical models based in an IoT network

Wang, Beilun, Zhang, Jiaqi, Zhang, Yan, Wang, Meng and Wang, Sen (2021). Scalable estimator for multi-task gaussian graphical models based in an IoT network. ACM Transactions on Sensor Networks, 17 (3) 3432312, 1-33. doi: 10.1145/3432312

Scalable estimator for multi-task gaussian graphical models based in an IoT network

2021

Journal Article

Prediction of mechanical properties of wrought aluminium alloys using feature engineering assisted machine learning approach

Hu, Mingwei, Tan, Qiyang, Knibbe, Ruth, Wang, Sen, Li, Xue, Wu, Tianqi, Jarin, Sams and Zhang, Ming-Xing (2021). Prediction of mechanical properties of wrought aluminium alloys using feature engineering assisted machine learning approach. Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science, 52 (7), 2873-2884. doi: 10.1007/s11661-021-06279-5

Prediction of mechanical properties of wrought aluminium alloys using feature engineering assisted machine learning approach

2021

Journal Article

Explaining similarity for SPARQL queries

Wang, Meng, Chen, Kefei, Xiao, Gang, Zhang, Xinyue, Chen, Hongxu and Wang, Sen (2021). Explaining similarity for SPARQL queries. World Wide Web, 24 (5), 1813-1835. doi: 10.1007/s11280-021-00886-3

Explaining similarity for SPARQL queries

2021

Journal Article

Exploring BCI control in smart environments: intention recognition via EEG representation enhancement learning

Yue, Lin, Shen, Hao, Wang, Sen, Boots, Robert, Long, Guodong, Chen, Weitong and Zhao, Xiaowei (2021). Exploring BCI control in smart environments: intention recognition via EEG representation enhancement learning. ACM Transactions on Knowledge Discovery from Data, 15 (5) 3450449, 1-20. doi: 10.1145/3450449

Exploring BCI control in smart environments: intention recognition via EEG representation enhancement learning

2021

Journal Article

SMR: medical knowledge graph embedding for safe medicine recommendation

Gong, Fan, Wang, Meng, Wang, Haofen, Wang, Sen and Liu, Mengyue (2021). SMR: medical knowledge graph embedding for safe medicine recommendation. Big Data Research, 23 100174. doi: 10.1016/j.bdr.2020.100174

SMR: medical knowledge graph embedding for safe medicine recommendation

2020

Journal Article

Editorial for application-driven knowledge acquisition

Li, 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

Editorial for application-driven knowledge acquisition

2020

Journal Article

Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition

Zhang, 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

Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition

2019

Journal Article

A Graph-Based Hierarchical Attention Model for Movement Intention Detection from EEG Signals

Zhang, 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

A Graph-Based Hierarchical Attention Model for Movement Intention Detection from EEG Signals

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

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)