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2024

Conference Publication

EMIT - Event-Based Masked Auto Encoding for Irregular Time Series

Patel, Hrishikesh, Qiu, Ruihong, Irwin, Adam, Sadiq, Shazia and Wang, Sen (2024). EMIT - Event-Based Masked Auto Encoding for Irregular Time Series. IEEE. doi: 10.1109/icdm59182.2024.00044

EMIT - Event-Based Masked Auto Encoding for Irregular Time Series

2024

Conference Publication

Navigating Beyond Instructions: Vision-and-Language Navigation in Obstructed Environments

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

Navigating Beyond Instructions: Vision-and-Language Navigation in Obstructed Environments

2024

Conference Publication

DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection

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

DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection

2024

Conference Publication

ROLeR: effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems

Zhang, Yi, Qiu, Ruihong, Liu, Jiajun and Wang, Sen (2024). ROLeR: effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems. 33rd ACM International Conference on Information and Knowledge Management (CIKM), Boise, ID USA, 21-25 October 2024. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3627673.3679633

ROLeR: effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems

2024

Conference Publication

GTP-ViT: efficient vision transformers via graph-based token propagation

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

GTP-ViT: efficient vision transformers via graph-based token propagation

2024

Book Chapter

Towards cost-efficient federated multi-agent RL with learnable aggregation

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

Towards cost-efficient federated multi-agent RL with learnable aggregation

2024

Conference Publication

Event-content-oriented dialogue generation in short video

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). doi: 10.18653/v1/2024.naacl-long.229

Event-content-oriented dialogue generation in short video

2023

Conference Publication

No token left behind: efficient vision transformer via dynamic token idling

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

No token left behind: efficient vision transformer via dynamic token idling

2023

Conference Publication

Cal-SFDA: Source-free domain-adaptive semantic segmentation with differentiable expected calibration error

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

Cal-SFDA: Source-free domain-adaptive semantic segmentation with differentiable expected calibration error

2023

Conference Publication

Zero-shot learning by harnessing adversarial samples

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

Zero-shot learning by harnessing adversarial samples

2023

Conference Publication

Object detection difficulty: suppressing over-aggregation for faster and better video object detection

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

Object detection difficulty: suppressing over-aggregation for faster and better video object detection

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

2023

Conference Publication

Plug n' play channel shuffle module for enhancing tiny vision transformers

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

Plug n' play channel shuffle module for enhancing tiny vision transformers

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

Conference Publication

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

Discovering domain disentanglement for generalized multi-source domain adaptation

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