|
2023 Conference Publication Zero-shot learning by harnessing adversarial samplesChen, 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 |
|
2023 Conference Publication Object detection difficulty: suppressing over-aggregation for faster and better video object detectionZhang, 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 |
|
2023 Journal Article Recent applications of machine learning in alloy design: a reviewHu, 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 |
|
2023 Journal Article Dual-core mutual learning between scoring systems and clinical features for ICU mortality predictionShi, 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 |
|
2023 Journal Article Artificial Intelligence in Evidence-based Medicine:Challenges and OpportunitiesLi, 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 |
|
2023 Journal Article GSMFlow: generation shifts mitigating flow for generalized zero-shot learningChen, 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 |
|
2023 Conference Publication Plug n' play channel shuffle module for enhancing tiny vision transformersXu, 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 |
|
2022 Journal Article Predicting the crystal structure and lattice parameters of the perovskite materials via different machine learning models based on basic atom propertiesJarin, 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 |
|
2022 Conference Publication Discovering domain disentanglement for generalized multi-source domain adaptationWang, 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 |
|
2022 Journal Article Application of novel subgroups of Chinese inpatients with diabetes based on machine learning paradigmWang, 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 |
|
2022 Journal Article A multi-level neural network for implicit causality detection in web textsLiang, 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 |
|
2022 Edited Outputs AI 2021: Advances in Artificial Intelligence : 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2–4, 2022, ProceedingsLong, Guodong, Yu, Xinghuo and Wang, Sen eds. (2022). AI 2021: Advances in Artificial Intelligence : 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2–4, 2022, Proceedings. 34th Australasian Joint Conference of Advances in Artificial Intelligence AI 2021, Sydney, NSW Australia, 2–4 February 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-97546-3 |
|
2022 Journal Article Information resilience: the nexus of responsible and agile approaches to information useSadiq, 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 |
|
2022 Conference Publication PrefaceLong, 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. |
|
2022 Conference Publication InDISP: an interpretable model for dynamic illness severity predictionMa, 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 |
|
2022 Conference Publication Improved feature distillation via projector ensembleChen, 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. doi: 10.52202/068431-0878 |
|
2022 Journal Article Uncertainty estimation with neural processes for meta-continual learningWang, 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 |
|
2021 Journal Article Deep dynamic imputation of clinical time series for mortality predictionShi, 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 |
|
2021 Conference Publication CausalRec: causal inference for visual debiasing in visually-aware recommendationQiu, 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 |
|
2021 Conference Publication Is visual context really helpful for knowledge graph? A representation learning perspectiveWang, 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 |
