The University of Queensland

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

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

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

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

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

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

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

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

Chen, Zhi, Luo, Yadan, Wang, Sen, Li, Jingjing and Huang, Zi (2022). GSMFlow: generation shifts mitigating flow for generalized zero-shot learning. IEEE Transactions on Multimedia (99), 1-12. doi: 10.1109/tmm.2022.3190678

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. doi: 10.1109/tnnls.2022.3215633

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

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

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

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

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

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

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

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

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

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

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

Preface

Li, 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.

Behavior-Interior-Aware User Preference Analysis Based on Social Networks

Wang, Can, Bo, Tao, Zhao, Yun Wei, Chi, Chi-Hung, Lam, Kwok-Yan, Wang, Sen and Shu, Min (2018). Behavior-Interior-Aware User Preference Analysis Based on Social Networks. Complexity, 2018 7371209, 1-18. doi: 10.1155/2018/7371209

Compressive representation for device-free activity recognition with passive RFID signal strength

Yao, Lina, Sheng, Quan Z., Li, Xue, Gu, Tao, Tan, Mingkui, Wang, Xianzhi, Wang, Sen and Ruan, Wenjie (2018). Compressive representation for device-free activity recognition with passive RFID signal strength. IEEE Transactions On Mobile Computing, 17 (2) 7938705, 293-306. doi: 10.1109/TMC.2017.2706282

Answering why-not questions on semantic multimedia queries

Wang, Meng, Chen, Weitong, Wang, Sen, Liu, Jun, Li, Xue and Stantic, Bela (2017). Answering why-not questions on semantic multimedia queries. Multimedia Tools and Applications, 77 (3), 3405-3429. doi: 10.1007/s11042-017-5151-6

Multi-factors based sentence ordering for cross-document fusion from multimodal content

Yue, Lin, Shi, Zhenkun, Han, Jiayu, Wang, Sen, Chen, Weitong and Zuo, Wanli (2017). Multi-factors based sentence ordering for cross-document fusion from multimodal content. Neurocomputing, 253, 6-14. doi: 10.1016/j.neucom.2016.12.084

A multiview learning framework with a linear computational cost

Xue, Xiaowei, Nie, Feiping, Li, Zhihui, Wang, Sen, Li, Xue and Yao, Min (2017). A multiview learning framework with a linear computational cost. IEEE Transactions on Cybernetics, 48 (8), 2416-2425. doi: 10.1109/TCYB.2017.2739423

Unsupervised 2D dimensionality reduction with adaptive structure learning

Zhao, Xiaowei, Nie, Feiping, Wang, Sen, Guo, Jun, Xu, Pengfei and Chen, Xiaojiang (2017). Unsupervised 2D dimensionality reduction with adaptive structure learning. Neural Computation, 29 (5), 1352-1374. doi: 10.1162/NECO_a_00950

Collaborative text categorization via exploiting sparse coefficients

Yao, Lina, Sheng, Quan Z., Wang, Xianzhi, Wang, Shengrui, Li, Xue and Wang, Sen (2017). Collaborative text categorization via exploiting sparse coefficients. World Wide Web: internet and web information systems, 21 (2), 1-22. doi: 10.1007/s11280-017-0460-2

Learning multiple diagnosis codes for ICU patients with local disease correlation mining

Wang, Sen, Li, Xue, Chang, Xiaojun, Yao, Lina, Sheng, Quan Z. and Long, Guodong (2017). Learning multiple diagnosis codes for ICU patients with local disease correlation mining. ACM Transactions on Knowledge Discovery from Data, 11 (3) 31, 1-21. doi: 10.1145/3003729

Diagnosis code assignment using sparsity-based disease correlation embedding

Wang, Sen, Chang, Xiaojun, Li, Xue, Long, Guodong, Yao, Lina and Sheng, Quan Z. (2016). Diagnosis code assignment using sparsity-based disease correlation embedding. IEEE Transactions on Knowledge and Data Engineering, 28 (12), 3191-3202. doi: 10.1109/TKDE.2016.2605687

Compound rank-k projections for bilinear analysis

Chang, Xiaojun, Nie, Feiping, Wang, Sen, Yang, Yi, Zhou, Xiaofang and Zhang, Chengqi (2016). Compound rank-k projections for bilinear analysis. IEEE Transactions on Neural Networks and Learning Systems, 27 (7) 7161356, 1502-1513. doi: 10.1109/TNNLS.2015.2441735

Multi-task support vector machines for feature selection with shared knowledge discovery

Wang, Sen, Chang, Xiaojun, Li, Xue, Sheng, Quan Z. and Chen, Weitong (2016). Multi-task support vector machines for feature selection with shared knowledge discovery. Signal Processing, 120, 746-753. doi: 10.1016/j.sigpro.2014.12.012

Multi-label classification via learning a unified object-label graph with sparse representation

Yao, Lina, Sheng, Quan Z., Ngu, Anne H.H., Gao, Byron J., Li, Xue and Wang, Sen (2015). Multi-label classification via learning a unified object-label graph with sparse representation. World Wide Web, 19 (6), 1-25. doi: 10.1007/s11280-015-0376-7

Compact representation for large-scale unconstrained video analysis

Wang, Sen, Pan, Pingbo, Long, Guodong, Chen, Weitong, Li, Xue and Sheng, Quan Z. (2015). Compact representation for large-scale unconstrained video analysis. World Wide Web, 19 (2), 231-246. doi: 10.1007/s11280-015-0354-0

Graph-based clustering and ranking for diversified image search

Yan, Yan, Liu, Gaowen, Wang, Sen, Zhang, Jian and Zheng, Kai (2014). Graph-based clustering and ranking for diversified image search. Multimedia Systems, 23 (1), 41-52. doi: 10.1007/s00530-014-0419-4

Structured streaming skeleton: a new feature for online human gesture recognition

Zhao, Xin, Li, Xue, Pang, Chaoyi, Sheng, Quan Z., Wang, Sen and Ye, Mao (2014). Structured streaming skeleton: a new feature for online human gesture recognition. ACM Transactions on Multimedia Computing, Communications and Applications, 11 (Supp. 1s) 22, 22:1-22:18. doi: 10.1145/2648583

Semi-supervised multiple feature analysis for action recognition

Wang, Sen, Ma, Zhigang, Yang, Yi, Li, Xue, Pang, Chaoyi and Hauptmann, Alexander G. (2014). Semi-supervised multiple feature analysis for action recognition. IEEE Transactions on Multimedia, 16 (2) 6675840, 289-298. doi: 10.1109/TMM.2013.2293060

Human action recognition based on semi-supervised discriminant analysis with global constraint

Zhao, Xin, Li, Xue, Pang, Chaoyi and Wang, Sen (2013). Human action recognition based on semi-supervised discriminant analysis with global constraint. Neurocomputing, 105, 45-50. doi: 10.1016/j.neucom.2012.04.038

Computing Unrestricted Synopses Under Maximum Error Bound

Pang, Chaoyi, Zhang, Qing, Zhou, Xiaofang, Hansen, David, Wang, Sen and Maeder, Anthony (2013). Computing Unrestricted Synopses Under Maximum Error Bound. Algorithmica, 65 (1), 1-42. doi: 10.1007/s00453-011-9571-9

Discovering domain disentanglement for generalized multi-source domain adaptation

Wang, Zixin, Luo, Yadan, Zhang, Peng-Fei, Wang, Sen and Huang, Zi (2022). Discovering domain disentanglement for generalized multi-source domain adaptation. 2022 IEEE International Conference on Multimedia and Expo (ICME), Taipei, Taiwan, 18-22 July 2022. Piscataway, NJ United States: IEEE Computer Society. doi: 10.1109/icme52920.2022.9859733

Improved feature distillation via projector ensemble

Chen, Yudong, Wang, Sen, Liu, Jiajun, Xu, Xuwei, de Hoog, Frank and Huang, Zi (2022). Improved feature distillation via projector ensemble. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, United States, 29 November-1 December 2022. New Orleans, LA, United States: Neural information processing systems foundation.

InDISP: an interpretable model for dynamic illness severity prediction

Ma, Xinyu, Wang, Meng, Liu, Xing, Yang, Yifan, Zheng, Yefeng and Wang, Sen (2022). InDISP: an interpretable model for dynamic illness severity prediction. 27th International Conference, DASFAA 2022, Virtual, 11-14 April 2022. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-031-00126-0_46

Preface

Long, Guodong, Yu, Xinghuo and Wang, Sen (2022). Preface. 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, 2-4 February 2022. Cham, Switzerland: Springer Nature Switzerland.

CausalRec: causal inference for visual debiasing in visually-aware recommendation

Qiu, Ruihong, Wang, Sen, Chen, Zhi, Yin, Hongzhi and Huang, Zi (2021). CausalRec: causal inference for visual debiasing in visually-aware recommendation. MM '21: ACM Multimedia Conference, Virtual, 20-24 October 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3474085.3475266

Is visual context really helpful for knowledge graph? A representation learning perspective

Wang, Meng, Wang, Sen, Yang, Han, Zhang, Zheng, Chen, Xi and Qi, Guilin (2021). Is visual context really helpful for knowledge graph? A representation learning perspective. 29th ACM International Conference on Multimedia, Virtual, 20-24 October 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3474085.3475470

Local graph convolutional networks for cross-modal hashing

Chen, Yudong, Wang, Sen, Lu, Jianglin, Chen, Zhi, Zhang, Zheng and Huang, Zi (2021). Local graph convolutional networks for cross-modal hashing. ACM International Conference on Multimedia, Chengdu, China (Virtual), 20-24 October 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3474085.3475346

Mitigating Generation Shifts for Generalized Zero-Shot Learning

Chen, Zhi, Luo, Yadan, Wang, Sen, Qiu, Ruihong, Li, Jingjing and Huang, Zi (2021). Mitigating Generation Shifts for Generalized Zero-Shot Learning. MM '21: ACM Multimedia Conference, Online, 20 - 24 October 2021. Washington, DC United States: Association for Computing Machinery. doi: 10.1145/3474085.3475258

Semantics disentangling for generalized zero-shot learning

Chen, Zhi, Luo, Yadan, Qiu, Ruihong, Wang, Sen, Huang, Zi, Li, Jingjing and Zhang, Zheng (2021). Semantics disentangling for generalized zero-shot learning. 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, QC Canada, 10-17 October 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/iccv48922.2021.00859

Self-supervised adversarial distribution regularization for medication recommendation

Wang, Yanda, Chen, Weitong, PI, Dechang, Yue, Lin, Wang, Sen and Xu, Miao (2021). Self-supervised adversarial distribution regularization for medication recommendation. Thirtieth International Joint Conference on Artificial Intelligence, Montreal, Canada, 19-27 August 2021. California, United States: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2021/431

Global convolutional neural processes

Wang, 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

Sequential diagnosis prediction with transformer and ontological representation

Peng, Xueping, Long, Guodong, Shen, Tao, Wang, Sen and Jiang, Jing (2021). Sequential diagnosis prediction with transformer and ontological representation. 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/ICDM51629.2021.00060

Self-attention enhanced patient journey understanding in healthcare system

Peng, 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

BiteNet: bidirectional temporal encoder network to predict medical outcomes

Peng, 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

Memory-Based Network for Scene Graph with Unbalanced Relations

Wang, 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

Rethinking generative zero-shot learning: an ensemble learning perspective for recognising visual patches

Chen, 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

ZSTAD: Zero-Shot Temporal Activity Detection

Zhang, 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

Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables

Zhang, 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

Adaptive two-dimensional embedded image clustering

Li, 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.

Collective protection: Preventing sensitive inferences via integrative transformation

Zhang, 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

Learning attentional temporal cues of brainwaves with spatial embedding for motion intent detection

Zhang, 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

Learning to hash for efficient search over incomplete knowledge graphs

Wang, 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

Temporal self-attention network for medical concept embedding

Peng, 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

Distributionally Robust Semi-Supervised Learning for People-Centric Sensing

Chen, 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

Deep interpretable mortality model for intensive care unit risk prediction

Shi, Zhenkun, Chen, Weitong, Liang, Shining, Zuo, Wanli, Yue, Lin and Wang, Sen (2019). Deep interpretable mortality model for intensive care unit risk prediction. International Conference on Advanced Data Mining and Applications, Dalian, China, 21-23 November 2019. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-35231-8_45

Detecting suicidal ideation with data protection in online communities

Ji, Shaoxiong, Long, Guodong, Pan, Shirui, Zhu, Tianqing, Jiang, Jing and Wang, Sen (2019). Detecting suicidal ideation with data protection in online communities. DASFAA 2019: Database Systems for Advanced Applications , Chiang Mai, Thailand, 22-25 April, 2019. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-18590-9_17

Ready for Use : Subject-Independent Movement Intention Recognition via a Convolutional Attention Model

Zhang, Dalin, Yao, Lina, Chen, Kaixuan and Wang, Sen (2018). Ready for Use : Subject-Independent Movement Intention Recognition via a Convolutional Attention Model. CIKM '18: The 27th ACM International Conference on Information and Knowledge Management, Torino, Italy, 22 - 26 October 2018. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3269206.3269259

A Comparative Study of Transactional and Semantic Approaches for Predicting Cascades on Twitter

Zhao, Yunwei, Wang, Can, Chi, Chi-Hung, Lam, Kwok-Yan and Wang, Sen (2018). A Comparative Study of Transactional and Semantic Approaches for Predicting Cascades on Twitter. Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden, 13-19 July 2018. Los Angeles, CA United States: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2018/169

Multi-modality Sensor Data Classification with Selective Attention

Zhang, Xiang, Yao, Lina, Huang, Chaoran, Wang, Sen, Tan, Mingkui, Long, Guodong and Wang, Can (2018). Multi-modality Sensor Data Classification with Selective Attention. Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden, 13-19 July 2018. Los Angeles, CA United States: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2018/432

NeuRec: On Nonlinear Transformation for Personalized Ranking

Zhang, Shuai, Yao, Lina, Sun, Aixin, Wang, Sen, Long, Guodong and Dong, Manqing (2018). NeuRec: On Nonlinear Transformation for Personalized Ranking. Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden, 13-19 July 2018. Los Angeles, CA United States: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2018/510

Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling

Shen, Tao, Zhou, Tianyi, Long, Guodong, Jiang, Jing, Wang, Sen and Zhang, Chengqi (2018). Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling. Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden, 13-19 July 2018. Los Angeles, CA United States: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2018/604

Trace ratio optimization with feature correlation mining for multiclass discriminant analysis

Boroujeni, Forough Rezaei, Wang, Sen, Li, Zhihui, West, Nicholas, Stantic, Bela, Yao, Lina and Long, Guodong (2018). Trace ratio optimization with feature correlation mining for multiclass discriminant analysis. 32nd AAAI Conference on Artificial Intelligence, New Orleans, LA, United States, 2 - 7 February 2018. Palo Alto, CA United States: AAAI press. doi: 10.1609/aaai.v32i1.11805

Cascade and parallel convolutional recurrent neural networks on EEG-based intention recognition for brain computer interface

Zhang, Dalin, Yao, Lina, Zhang, Xiang, Wang, Sen, Chen, Weitong and Boots, Robert (2018). Cascade and parallel convolutional recurrent neural networks on EEG-based intention recognition for brain computer interface. 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), New Orleans, LA, United States, 2-7 February 2018. Palo Alto, CA, United States: AAAI press. doi: 10.1609/aaai.v32i1.11496

Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit

Chen, Weitong, Wang, Sen, Long, Guodong, Yao, Lina, Sheng, Quan Z. and Li, Xue (2018). Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit. 18th IEEE International Conference on Data Mining, ICDM 2018, Singapore, 17 - 20 November 2018. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDM.2018.00111

EEG-based motion intention recognition via multi-task RNNs

Chen, Weitong, Wang, Sen, Zhang, Xiang, Yao, Lina, Yue, Lin, Qian, Buyue and Li, Xue (2018). EEG-based motion intention recognition via multi-task RNNs. 2018 SIAM International Conference on Data Mining, SDM 2018, San Diego, CA, United States, 3-5 May 2018. Society for Industrial and Applied Mathematics Publications. doi: 10.1137/1.9781611975321.32

Improving chinese sentiment analysis via segmentation-based representation using parallel CNN

Hao, Yazhou, Zheng, Qinghua, Lan, Yangyang, Li, Yufei, Wang, Meng, Wang, Sen and Li, Chen (2017). Improving chinese sentiment analysis via segmentation-based representation using parallel CNN. 13th International Conference on Advanced Data Mining and Applications ADMA 2017, Singapore, 5–6 November 2017. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-69179-4_47

PDD graph: bridging electronic medical records and biomedical knowledge graphs via entity linking

Wang, Meng, Zhang, Jiaheng, Liu, Jun, Hu, Wei, Wang, Sen, Li, Xue and Liu, Wenqiang (2017). PDD graph: bridging electronic medical records and biomedical knowledge graphs via entity linking. The Semantic Web – ISWC 2017: 16th International Semantic Web Conference Vienna, Austria, October 21–25, 2017 Proceedings, Part II, Vienna, Austria, 21-25 October 2017. Cham, Switzerland: Springer Nature. doi: 10.1007/978-3-319-68204-4_23

Provenance-based rumor detection

Duong, Chi Thang, Nguyen, Quoc Viet Hung, Wang, Sen and Stantic, Bela (2017). Provenance-based rumor detection. 28th Australasian Database Conference, ADC 2017, Brisbane, QLD Australia, 25–28 September 2017. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-68155-9_10

Uncovering locally discriminative structure for feature analysis

Wang, Sen, Nie, Feiping, Chang, Xiaojun, Li, Xue, Sheng, Quan Z. and Yao, Lina (2017). Uncovering locally discriminative structure for feature analysis. 15th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2016, Riva del Garda, Italy, 19 - 23 September 2016. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-46128-1_18

Classification based on compressive multivariate time series

Utomo, Chandra, Li, Xue and Wang, Sen (2016). Classification based on compressive multivariate time series. 27th Australasian Database Conference on Databases Theory and Applications, ADC 2016, Sydney Australia, 28-29 September 2016. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-46922-5_16

Freedom: online activity recognition via dictionary-based sparse representation of RFID sensing data

Yao, Lina, Sheng, Quan Z., Li, Xue, Wang, Sen, Gu, Tao, Ruan, Wenjie and Zou, Wan (2016). Freedom: online activity recognition via dictionary-based sparse representation of RFID sensing data. 15th IEEE International Conference on Data Mining, ICDM 2015, Atlantic City, United States, 14-17 November 2015. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICDM.2015.102

Learning from less for better: semi-supervised activity recognition via shared structure discovery

Yao, Lina, Nie, Feiping, Sheng, Quan Z., Gu, Tao, Li, Xue and Wang, Sen (2016). Learning from less for better: semi-supervised activity recognition via shared structure discovery. 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016, Heidelberg, Germany, 12-16 September 2016. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2971648.2971701

Learning graph-based POI embedding for location-based recommendation

Xie, Min, Yin, Hongzhi, Wang, Hao, Xu, Fanjiang, Chen, Weitong and Wang, Sen (2016). Learning graph-based POI embedding for location-based recommendation. 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, United States, 24 - 28 October 2016. New York, NY, United States: ACM. doi: 10.1145/2983323.2983711

Unobtrusive posture recognition via online learning of multi-dimensional RFID received signal strength

Yao, Lina, Sheng, Quan Z., Ruan, Wenjie, Li, Xue, Wang, Sen and Yang, Zhi (2016). Unobtrusive posture recognition via online learning of multi-dimensional RFID received signal strength. 2015 IEEE 21st International Conference on Parallel and Distributed Systems, ICPADS 2015, Melbourne, Victoria, Australia, 14- 17 December 2015. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICPADS.2015.23

Unsupervised feature analysis with class margin optimization

Wang, Sen, Nie, Feiping, Chang, Xiaojun, Yao, Lina, Li, Xue and Sheng, Quan Z. (2015). Unsupervised feature analysis with class margin optimization. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Porto, Portugal, 7-11 September 2015. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-23528-8_24

Mining personal health index from annual geriatric medical examinations

Chen, Ling, Li, Xue, Wang, Sen, Hu, Hsiao-Yun, Huang, Nicole, Sheng, Quan Z. and Sharaf, Mohamed (2014). Mining personal health index from annual geriatric medical examinations. 2014 IEEE International Conference on Data Mining, Shenzhen, China, 14-17 December 2014. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICDM.2014.32

Semi-supervised feature analysis for multimedia annotation by mining label correlation

Chang, Xiaojun, Shen, Haoquan, Wang, Sen, Liu, Jiajun and Li, Xue (2014). Semi-supervised feature analysis for multimedia annotation by mining label correlation. 18th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2014, Tainan, Taiwan, 13 - 16 May 2014. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-06605-9_7

Effective approaches in human action recognition

Li, Xue, Sheng, Quan Z., Pang, Chaoyi, Zhao, Xin and Wang, Sen (2013). Effective approaches in human action recognition. 2013 International Conference on Advanced Computer Science and Information Systems (ICACSIS), Bali, Indonesia, 28-29 September 2013. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/ICACSIS.2013.6761544

Fall detection in multi-camera surveillance videos: experimentations and observations

Wang, Sen, Xu, Zhongwen, Yang, Yi, Li, Xue, Pang, Chaoyi and Haumptmann, Alexander G. (2013). Fall detection in multi-camera surveillance videos: experimentations and observations. 1st ACM International Workshop on Multimedia Indexing and Information Retrieval for Heathcare (MIIRH 2013), Barcelona, Spain, 22 October 2013. New York, United States: ACM. doi: 10.1145/2505323.2505331

Online action recognition by template matching

Zhao, Xin, Wang, Sen, Li, Xue and Zhang, Hao Lan (2013). Online action recognition by template matching. 2nd International Conference on Health Information Science, HIS 2013, London, United Kingdom, 25-27 March 2013. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-37899-7_25

Action recognition by exploring data distribution and feature correlation

Wang, Sen, Yang, Yi, Ma, Zhigang, Li, Xue, Pang, Chaoyi and Hauptmann, Alexander G. (2012). Action recognition by exploring data distribution and feature correlation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, RI, United States, 16-21 June 2012. Washington, DC, United States: I E E E Computer Society. doi: 10.1109/CVPR.2012.6247823

On the prediction of re-tweeting activities in social networks – a report on WISE 2012 Challenge

Unankard, Sayan, Chen, Ling, Li, Peng, Wang, Sen, Huang, Zi, Sharaf, Mohamed A. and Li, Xue (2012). On the prediction of re-tweeting activities in social networks – a report on WISE 2012 Challenge. 13th International Conference on Web Information Systems Engineering (WISE 2012), Paphos, Cyprus, 28 - 30 November 2012. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-35063-4_61

Advanced Data Mining and Applications : 15th International Conference, ADMA 2019, Dalian, China, Proceedings

Li, Jianxin, Wang, Sen, Qin, Shaowen, Li, Xue and Wang, Shuliang eds. (2019). Advanced Data Mining and Applications : 15th International Conference, ADMA 2019, Dalian, China, Proceedings. 15th International Conference, ADMA 2019, Dalian, China, 21–23 November 2019. Cham, Switzerland: Springer.

Effective Algorithms for Human Action Recognition

Wang, Sen (2014). Effective Algorithms for Human Action Recognition. PhD Thesis, School of Information Technology and Electrical Engineering, The University of Queensland.