Associate Professor Sen Wang
Associate Professor
School of Electrical Engineering and Computer Science
+61 7 336 52907
Researcher biography
Dr Sen Wang is an ARC DECRA Senior Research Fellow and Senior Lecturer in computer science and data science at the School of Information Technology and Electrical Engineering at UQ. He is also a CI on several health data analytics research grants. Sen has an interest in ICU data and has clinical collaborations with RBWH and Children’s Hospital. Dr Wang received his PhD degree in 2014 and his research interest includes various topics on Feature Selection, Semi-supervised Learning, Deep Learning, Pattern Recognition, Data Mining, and Health Informatics. Since 2010, Dr Wang has published 80+ academic papers in top conferences and journals. Most were published in internationally renowned journals and conferences in the fields of data science, data mining, and machine learning, such as Algorithmica, TNNLS, TMC, TKDE, TCYB, TMM, WWWJ, Signal Processing, ACM TOMM, ACM MM, IJCAI, AAAI, SDM, CIKM, CVPR, ICCV, ICDM, ISWC, ECML-PKDD, PAKDD, ICONIP, ICPADS, and WISE, all CORE A/A* journals and conferences.
Book Chapter
Zhang, Yi, Wang, Sen, Chen, Zhi, Xu, Xuwei, Funiak, Stano and Liu, Jiajun (2024). Towards cost-efficient federated multi-agent RL with learnable aggregation. Advances in knowledge discovery and data mining. (pp. 171-183) Heidelberg, Germany: Springer. doi: 10.1007/978-981-97-2253-2_14
Journal Articles
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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 (1) 7371209, 1-18. doi: 10.1155/2018/7371209
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Conference Papers
Hong, Haodong, Wang, Sen, Huang, Zi, Wu, Qi and Liu, Jiajun (2024). Navigating Beyond Instructions: Vision-and-Language Navigation in Obstructed Environments. New York, NY, USA: ACM. doi: 10.1145/3664647.3681640
Chen, Zhuoxiao, Wang, Zixin, Luo, Yadan, Wang, Sen and Huang, Zi (2024). DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection. New York, NY, USA: ACM. doi: 10.1145/3664647.3681040
Zhang, Yi, Qiu, Ruihong, Liu, Jiajun and Wang, Sen (2024). ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems. New York, NY, USA: ACM. doi: 10.1145/3627673.3679633
Xu, Xuwei, Wang, Sen, Chen, Yudong, Zheng, Yanping, Wei, Zhewei and Liu, Jiajun (2024). GTP-ViT: efficient vision transformers via graph-based token propagation. 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, United States, 3-8 January 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/wacv57701.2024.00016
Cheng, Fenghua, Li, Xue, Huang, Zi, Wang, Jinxiang and Wang, Sen (2024). Event-content-oriented dialogue generation in short video. 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Mexico City, Mexico, 16-21 June 2024. Kerrville, TX, United States: Association for Computational Linguistics (ACL).
Xu, Xuwei, Li, Changlin, Chen, Yudong, Chang, Xiaojun, Liu, Jiajun and Wang, Sen (2023). No token left behind: efficient vision transformer via dynamic token idling. 36th Australasian Joint Conference on Artificial Intelligence, Brisbane, QLD Australia, 28 November-1 December 2023. Singapore, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-99-8388-9_3
Zhang, Bingqing, Wang, Sen, Liu, Yifan, Kusy, Brano, Li, Xue and Liu, Jiajun (2023). Object detection difficulty: suppressing over-aggregation for faster and better video object detection. 31st ACM International Conference on Multimedia, MM 2023, Ottawa, ON Canada, 29 October - 3 November 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3581783.3612090
Chen, Zhi, Zhang, Pengfei, Li, Jingjing, Wang, Sen and Huang, Zi (2023). Zero-shot learning by harnessing adversarial samples. MM '23: The 31st ACM International Conference on Multimedia, Ottawa, ON Canada, 29 October - 3 November 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3581783.3611823
Wang, Zixin, Luo, Yadan, Chen, Zhi, Wang, Sen and Huang, Zi (2023). Cal-SFDA: Source-free domain-adaptive semantic segmentation with differentiable expected calibration error. MM '23: The 31st ACM International Conference on Multimedia, Ottawa, ON Canada, 29 October - 3 November 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3581783.3611808
Xu, Xuwei, Wang, Sen, Chen, Yudong and Liu, Jiajun (2023). Plug n' play channel shuffle module for enhancing tiny vision transformers. 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Port Macquarie, NSW, Australia, 28 November - 1 December 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA60407.2023.00066
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
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
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.
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
Wang, 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, Feb 07-12, 2020. PALO ALTO: ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Zhang, Dalin, Yao, Lina, Wang, Sen, Chen, Kaixuan, Yang, Zheng and Benatallah, Boualem (2018). Fuzzy integral optimization with deep Q-network for EEG-based intention recognition. 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, 25–28 May 2023. Weinheim, Germany: Springer. doi: 10.1007/978-3-319-93034-3_13
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
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
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
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
Xue, Xiaowei, Nie, Feiping, Wang, Sen, Chang, Xiaojun, Stantic, Bela and Yao, Min (2017). Multi-view correlated feature learning by uncovering shared component. 31st AAAI Conference on Artificial Intelligence, AAAI 2017, San Francisco, CA United States, 4–9 February 2017. Washington, DC United States: AAAI Press. doi: 10.1609/aaai.v31i1.10823
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
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
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
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
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
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
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
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
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
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
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
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
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
Thesis
Wang, Sen (2014). Effective Algorithms for Human Action Recognition. PhD Thesis, School of Information Technology and Electrical Engineering, The University of Queensland.