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2024 Conference Publication Privacy-preserving disease prediction with secure data deduplication on untrusted cloud serversJain, Khushi, Singh, Priyanka and Li, Xue (2024). Privacy-preserving disease prediction with secure data deduplication on untrusted cloud servers. 2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR), San Jose, CA, United States, 7 - 9 August 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/MIPR62202.2024.00114 |
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2024 Journal Article Adaptive class augmented prototype network for few-shot relation extractionLi, Rongzhen, Zhong, Jiang, Hu, Wenyue, Dai, Qizhu, Wang, Chen, Wang, Wenzhu and Li, Xue (2024). Adaptive class augmented prototype network for few-shot relation extraction. Neural Networks, 169, 134-142. doi: 10.1016/j.neunet.2023.10.025 |
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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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2024 Conference Publication Facilitating message passing with potential links for knowledge graph completionYin, Hong, Zhong, Jiang, Li, Rongzhen, Wang, Jiaqi, Wang, Chen, Qizhu, Dai and Li, Xue (2024). Facilitating message passing with potential links for knowledge graph completion. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, South Korea, 14-19 April 2024. Piscataway, NJ: Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/ICASSP48485.2024.10446669 |
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2023 Journal Article Compressed-SDR to HDR video reconstructionWang, Hu, Ye, Mao, Zhu, Xiatian, Li, Shuai, Li, Xue and Zhu, Ce (2023). Compressed-SDR to HDR video reconstruction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46 (5) 10373884, 3679-3691. doi: 10.1109/tpami.2023.3346921 |
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2023 Conference Publication Joint learning-based multiple documents heterogeneous graph inference for biomedical entity linkingDai, Qizhu, Lei, Qin, Zhong, Jiang, Li, Xue, Wang, Chen, Yin, Hong and Li, Rongzhen (2023). Joint learning-based multiple documents heterogeneous graph inference for biomedical entity linking. 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Istanbul, Turkiye, 5-8 December 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/bibm58861.2023.10385533 |
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2023 Conference Publication Context-based masking for spontaneous venous pulsations detectionSheng, Hongwei, Yu, Xin, Li, Xue and Golzan, Mojtaba (2023). Context-based masking for spontaneous venous pulsations detection. 36th Australasian Joint Conference on Artificial Intelligence, AJCAI 2023, Brisbane, QLD Australia, 28 November –1 December 2023. Singapore: Springer. doi: 10.1007/978-981-99-8388-9_42 |
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2023 Conference Publication Prompt-based effective input reformulation for legal case retrievalTang, Yanran, Qiu, Ruihong and Li, Xue (2023). Prompt-based effective input reformulation for legal case retrieval. 34th Australasian Database Conference, Melbourne, VIC Australia, 1-3 November 2023. Cham, Switzerland: Springer Cham. doi: 10.1007/978-3-031-47843-7_7 |
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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 Journal Article GS-InGAT: An interaction graph attention network with global semantic for knowledge graph completionYin, Hong, Zhong, Jiang, Wang, Chen, Li, Rongzhen and Li, Xue (2023). GS-InGAT: An interaction graph attention network with global semantic for knowledge graph completion. Expert Systems with Applications, 228 120380, 1-15. doi: 10.1016/j.eswa.2023.120380 |
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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 |
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2023 Conference Publication Enhancing document-level relation extraction with relation- pecific entity representation and evidence sentence augmentationDai, Qizhu, Zhong, Jiang, Zhu, Wei, Wang, Chen, Yin, Hong, Lei, Qin, Li, Xue and Li, Rongzhen (2023). Enhancing document-level relation extraction with relation- pecific entity representation and evidence sentence augmentation. 26th European Conference on Artificial Intelligence, Kraków, Poland, 30 September-4 October 2023. Bristol, United Kingdom: IOS Press. doi: 10.3233/FAIA230312 |
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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 |
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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 |
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2023 Conference Publication Commdre: Document-level Relation Extraction with self-supervised commonsense learningLi, Rongzhen, Zhong, Jiang, Xue, Zhongxuan, Dai, Qizhu, Wang, Chen and Li, Xue (2023). Commdre: Document-level Relation Extraction with self-supervised commonsense learning. 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 4-10 June 2023. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICASSP49357.2023.10096263 |
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2023 Conference Publication PRRD: pixel-region relation distillation for efficient semantic segmentationWang, Chen, Zhong, Jiang, Dai, Qizhu, Qi, Yafei, Li, Rongzhen, Lei, Qin, Fang, Bin and Li, Xue (2023). PRRD: pixel-region relation distillation for efficient semantic segmentation. 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 4-10 June 2023. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICASSP49357.2023.10094967 |
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2023 Journal Article Multi-view knowledge distillation for efficient semantic segmentationWang, Chen, Zhong, Jiang, Dai, Qizhu, Qi, Yafei, Shi, Fengyuan, Fang, Bin and Li, Xue (2023). Multi-view knowledge distillation for efficient semantic segmentation. Journal of Real-Time Image Processing, 20 (2) 39, 1-11. doi: 10.1007/s11554-023-01296-6 |
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2023 Journal Article 360° image saliency prediction by embedding self-supervised proxy taskZou, Zizhuang, Ye, Mao, Li, Shuai, Li, Xue and Dufaux, Frederic (2023). 360° image saliency prediction by embedding self-supervised proxy task. IEEE Transactions on Broadcasting, 69 (3), 704-714. doi: 10.1109/tbc.2023.3254143 |
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2023 Journal Article Channel correlation distillation for compact semantic segmentationWang, Chen, Zhong, Jiang, Dai, Qizhu, Qi, Yafei, Yu, Qien, Shi, Fengyuan, Li, Rongzhen, Li, Xue and Fang, Bin (2023). Channel correlation distillation for compact semantic segmentation. International Journal of Pattern Recognition and Artificial Intelligence, 37 (03) 2350004, 1-24. doi: 10.1142/S0218001423500040 |
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2023 Journal Article MTED: multiple teachers ensemble distillation for compact semantic segmentationWang, Chen, Zhong, Jiang, Dai, Qizhu, Yu, Qien, Qi, Yafei, Fang, Bin and Li, Xue (2023). MTED: multiple teachers ensemble distillation for compact semantic segmentation. Neural Computing and Applications, 35 (16), 11789-11806. doi: 10.1007/s00521-023-08321-6 |
