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2025 Conference Publication VaeDiff-DocRE: end-to-end data augmentation framework for document-level relation extractionTran, Khai Phan, Hua, Wen and Li, Xue (2025). VaeDiff-DocRE: end-to-end data augmentation framework for document-level relation extraction. 31st International Conference on Computational Linguistics, Abu Dhabi, United Arab Emirates, 19-24 January 2025. Stroudsburg, PA, United States: Association for Computational Linguistics. |
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2024 Journal Article Clinical and radiographic parameters for early periodontitis diagnosis: a comparative studyFidyawati, Desy, Masulili, Sri Lelyati C., Iskandar, Hanna Bachtiar, Suhartanto, Heru, Kiswanjaya, Bramma and Li, Xue (2024). Clinical and radiographic parameters for early periodontitis diagnosis: a comparative study. Dentistry Journal, 12 (12) 407, 1-12. doi: 10.3390/dj12120407 |
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2024 Conference Publication Evidence sentence augmented sequence-to-sequence method for document-level relation extractionDai, Qizhu, Zhong, Jiang, Li, Kuan, Li, Rongzhen, Wang, Chen, Yang, Xuejiao, Yang, Sen and Li, Xue (2024). Evidence sentence augmented sequence-to-sequence method for document-level relation extraction. 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Lisbon, Portugal, 3-6 December 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/bibm62325.2024.10822111 |
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2024 Conference Publication Contrastive learning enhanced graph relation representation for document-level relation extractionDai, Qizhu, Zhong, Jiang, Li, Kuan, Li, Rongzhen, Wang, Chen, Lv, Lebin, Chen, Wenjun and Li, Xue (2024). Contrastive learning enhanced graph relation representation for document-level relation extraction. 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Lisbon, Portugal, 3-6 December 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/bibm62325.2024.10822629 |
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2024 Journal Article Investigation of age-hardening behaviour of Al alloys via feature screening-assisted machine learningHu, Mingwei, Tan, Qiyang, Knibbe, Ruth, Jiang, Bin, Li, Xue and Zhang, Ming-Xing (2024). Investigation of age-hardening behaviour of Al alloys via feature screening-assisted machine learning. Materials Science and Engineering: A, 916 147381, 1-12. doi: 10.1016/j.msea.2024.147381 |
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2024 Journal Article Self-supervised commonsense knowledge learning for document-level relation extractionLi, Rongzhen, Zhong, Jiang, Xue, Zhongxuan, Dai, Qizhu and Li, Xue (2024). Self-supervised commonsense knowledge learning for document-level relation extraction. Expert Systems with Applications, 250 123921. doi: 10.1016/j.eswa.2024.123921 |
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2024 Journal Article Designing unique and high-performance Al alloys via machine learning: mitigating data bias through active learningHu, Mingwei, Tan, Qiyang, Knibbe, Ruth, Xu, Miao, Liang, Guofang, Zhou, Jianxin, Xu, Jun, Jiang, Bin, Li, Xue, Ramajayam, Mahendra, Dorin, Thomas and Zhang, Ming-Xing (2024). Designing unique and high-performance Al alloys via machine learning: mitigating data bias through active learning. Computational Materials Science, 244 113204, 113204. doi: 10.1016/j.commatsci.2024.113204 |
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2024 Conference Publication Enhancing NER with Sentence-Level Entity Detection as an Simple Auxiliary TaskWang, Chen, Hu, Cong, Zhong, Jiang, Liu, Huawen, Li, Qi, Yu, Donghua and Li, Xue (2024). Enhancing NER with Sentence-Level Entity Detection as an Simple Auxiliary Task. 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, 30 August-1September 2024. Heidelberg, Germany: Springer. doi: 10.1007/978-981-97-7232-2_2 |
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2024 Journal Article Multi-level alignments for compressed video super-resolutionWei, Liu, Ye, Mao, Ji, Luping, Gan, Yan, Li, Shuai and Li, Xue (2024). Multi-level alignments for compressed video super-resolution. IEEE Transactions on Consumer Electronics, 70 (3), 5101-5114. doi: 10.1109/tce.2024.3411144 |
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2024 Conference Publication CaseLink: inductive graph learning for legal case retrievalTang, Yanran, Qiu, Ruihong, Yin, Hongzhi, Li, Xue and Huang, Zi (2024). CaseLink: inductive graph learning for legal case retrieval. 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, United States, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657693 |
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2024 Journal Article Disentangled relational graph neural network with contrastive learning for knowledge graph completionYin, Hong, Zhong, Jiang, Li, Rongzhen and Li, Xue (2024). Disentangled relational graph neural network with contrastive learning for knowledge graph completion. Knowledge-Based Systems, 295 111828, 111828. doi: 10.1016/j.knosys.2024.111828 |
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2024 Journal Article On-device online learning and semantic management of TinyML systemsRen, Haoyu, Anicic, Darko, Li, Xue and Runkler, Thomas (2024). On-device online learning and semantic management of TinyML systems. ACM Transactions on Embedded Computing Systems, 23 (4) 55, 1-32. doi: 10.1145/3665278 |
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2024 Journal Article Stable viewport-based unsupervised compressed 360° video quality enhancementZou, Zizhuang, Ye, Mao, Li, Xue, Ji, Luping and Zhu, Ce (2024). Stable viewport-based unsupervised compressed 360° video quality enhancement. IEEE Transactions on Broadcasting, 70 (2), 607-619. doi: 10.1109/tbc.2024.3380435 |
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2024 Conference Publication Privacy-preserving and fairness-aware federated learning for critical infrastructure protection and resilienceZhang, Yanjun, Sun, Ruoxi, Shen, Liyue, Bai, Guangdong, Xue, Minhui, Meng, Mark Huasong, Li, Xue, Ko, Ryan and Nepal, Surya (2024). Privacy-preserving and fairness-aware federated learning for critical infrastructure protection and resilience. WWW '24: ACM Web Conference 2024, Singapore, Singapore, 13-17 May 2024. New York, NY, United States: ACM. doi: 10.1145/3589334.3645545 |
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2024 Journal Article Spatial-temporal adaptive compressed screen content video quality enhancementShu, Chen, Ye, Mao, Guo, Hongwei and Li, Xue (2024). Spatial-temporal adaptive compressed screen content video quality enhancement. IEEE Transactions on Circuits and Systems II: Express Briefs, 71 (5), 2884-2888. doi: 10.1109/tcsii.2024.3350772 |
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2024 Journal Article Integrating crack causal augmentation framework and dynamic binary threshold for imbalanced crack instance segmentationLei, Qin, Zhong, Jiang, Wang, Chen and Li, Xue (2024). Integrating crack causal augmentation framework and dynamic binary threshold for imbalanced crack instance segmentation. Expert Systems with Applications, 240 122552. doi: 10.1016/j.eswa.2023.122552 |
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2024 Journal Article Disentanglement then reconstruction: unsupervised domain adaptation by twice distribution alignmentsZhou, Lihua, Ye, Mao, Li, Xinpeng, Zhu, Ce, Liu, Yiguang and Li, Xue (2024). Disentanglement then reconstruction: unsupervised domain adaptation by twice distribution alignments. Expert Systems with Applications, 237 121498, 1-11. doi: 10.1016/j.eswa.2023.121498 |
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2024 Conference Publication CaseGNN: graph neural networks for legal case retrieval with text-attributed graphsTang, Yanran, Qiu, Ruihong, Liu, Yilun, Li, Xue and Huang, Zi (2024). CaseGNN: graph neural networks for legal case retrieval with text-attributed graphs. 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, United Kingdom, 24 - 28 March 2024. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-56060-6_6 |
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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 |
