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Efficient non-probabilistic parallel model updating based on analytical correlation propagation formula and derivative-aware deep neural network metamodel Journal article
Mo, Jiang, Yan, Wang Ji, Yuen, Ka Veng, Beer, Michael. Efficient non-probabilistic parallel model updating based on analytical correlation propagation formula and derivative-aware deep neural network metamodel[J]. Computer Methods in Applied Mechanics and Engineering, 2025, 433, 117490.
Authors:  Mo, Jiang;  Yan, Wang Ji;  Yuen, Ka Veng;  Beer, Michael
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.9/6.7 | Submit date：2025/01/22
Model Updating  Non-probabilistic Uncertainty  Correlation Propagation  Neural Network  Derivative-aware Metamodel  Block Coordinate Descent  
Self-ensembling depth completion via density-aware consistency Journal article
Zhang, Xuanmeng, Zheng, Zhedong, Jiang, Minyue, Ye, Xiaoqing. Self-ensembling depth completion via density-aware consistency[J]. Pattern Recognition, 2024, 154, 110618.
Authors:  Zhang, Xuanmeng;  Zheng, Zhedong;  Jiang, Minyue;  Ye, Xiaoqing
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:7.5/7.6 | Submit date：2024/07/04
Density-aware Consistency  Depth Completion  Semi-supervised Learning  Uncertainty Estimation  
Uncertainty-Aware Curriculum Learning for Neural Machine Translation Conference paper
Zhou, Yikai, Yang, Baosong, Wong, Derek F., Wan, Yu, Chao, Lidia S.. Uncertainty-Aware Curriculum Learning for Neural Machine Translation[C], 2020, 6934-6944.
Authors:  Zhou, Yikai;  Yang, Baosong;  Wong, Derek F.;  Wan, Yu;  Chao, Lidia S.
Favorite | TC[Scopus]:79 | Submit date：2022/08/19
Neural Machine Translation  Uncertainty-aware  Curriculum Learning