Zhang, Chenhao, Zhang, Yanjun, Mao, Jeff Mao, Chen, Weitong, Yue, Lin, Bai, Guangdong, Xu, Miao. Springer; 2022. Towards Better Generalization For Neural Network-Based SAT Solvers.
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Dong, Chang George, Zheng, Liangwei Nathan, Chen, Weitong, Zhang, Wei Emma, Yue, Lin. Institute of Electrical and Electronics Engineers (IEEE); 2023. SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series.
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Shen, Shaofei, Xu, Miao, Yue, Lin, Boots, Robert, Chen, Weitong. Springer Nature; 2023. Death Comes But Why: An Interpretable Illness Severity Predictions in ICU.
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Xu, Yuanbo, Zhang, Yuanbo, Yang, Yongjian, Xu, Hangtong, Yue, Lin. Springer; 2023. Duet Representation Learning with Entity Multi-attribute Information in Knowledge Graphs.
Xu, Yuanbo, Li, Tian, Yang, Yongjian, Chen, Weitong, Yue, Lin. Elsevier; 2024. An adaptive category-aware recommender based on dual knowledge graphs.
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Shi, Zhenkun, Wang, Sen, Yue, Lin, Zhang, Yijia, Adhikari, Binod Kumar, Xue, Shuai, Zuo, Wanli, Li, Xue. Elsevier; 2023. Dual-core mutual learning between scoring systems and clinical features for ICU mortality prediction.
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Zhao, Yawen, Yue, Lin, Xu, Miao. Springer; 2022. A Boosting Algorithm for Training from Only Unlabeled Data.
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Wang, Chengwei, Peng, Tao, Zhang, Yue, Yue, Lin, Liu, Lu. Springer; 2023. AOPSS: A Joint Learning Framework for Aspect-Opinion Pair Extraction as Semantic Segmentation.
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Ding, Chante Jian, Zhao, Mu, Wang, Jiaxin, Shao, David Xuefeng, Miah, Shah J., Yue, Lin. Elsevier; 2024. Social robots in the context of corporate participation in rural revitalization: A binary legitimacy perspective.
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Chen, Weitong, Zhang, Wei Emma, Yue, Lin. Springer; 2023. Death comes but why: A multi-task memory-fused prediction for accurate and explainable illness severity in ICUs.