Objects
Shen, Shaofei, Xu, Miao, Yue, Lin, Boots, Robert, Chen, Weitong. Springer Nature; 2023. Death Comes But Why: An Interpretable Illness Severity Predictions in ICU.
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.
Zhao, Yawen, Yue, Lin, Xu, Miao. Springer; 2022. A Boosting Algorithm for Training from Only Unlabeled Data.
Yue, Lin, Zhang, Yuxuan, Zhao, Xiaowei, Zhang, Zhe, Chen, Weitong. Springer; 2023. Improving Motor Imagery Intention Recognition via Local Relation Networks.
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.
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.
Zhang, Mingzhe, Yue, Lin, Xu, Miao. Springer; 2022. ESTD: Empathy Style Transformer with Discriminative Mechanism.
Xu, Yuanbo, Yue, Lin, Xu, Hangtong, Yang, Yongjian. Springer; 2023. Learning Knowledge Representation with Entity Concept Information.
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.
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.
Han, Xuming, Chu, Yali, Wang, Ke, Wang, Limin, Yue, Lin, Ding, Weiping. Elsevier; 2024. TAILOR: InTer-feAture distinctIon fiLter fusiOn pRuning.