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2024 Conference Publication EMIT - Event-Based Masked Auto Encoding for Irregular Time SeriesPatel, 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 |
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2024 Conference Publication Navigating Beyond Instructions: Vision-and-Language Navigation in Obstructed EnvironmentsHong, 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 |
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2024 Conference Publication DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object DetectionChen, 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 |
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2024 Conference Publication ROLeR: effective Reward Shaping in Offline Reinforcement Learning for Recommender SystemsZhang, 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 |
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2024 Conference Publication GTP-ViT: efficient vision transformers via graph-based token propagationXu, 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 |
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2024 Conference Publication Event-content-oriented dialogue generation in short videoCheng, 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 |
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2023 Conference Publication No token left behind: efficient vision transformer via dynamic token idlingXu, 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 |
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2023 Conference Publication Cal-SFDA: Source-free domain-adaptive semantic segmentation with differentiable expected calibration errorWang, 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 |
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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 |
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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 |
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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 |
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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 |
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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. |
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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. |
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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 |
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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 |
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2021 Conference Publication Semantics disentangling for generalized zero-shot learningChen, 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 |
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2021 Conference Publication Mitigating Generation Shifts for Generalized Zero-Shot LearningChen, 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 |
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2021 Conference Publication Local graph convolutional networks for cross-modal hashingChen, 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 |
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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 |
