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A fast interpretable adaptive meta-learning enhanced deep learning framework for diagnosis of diabetic retinopathy Journal article
Wang, Maofa, Gong, Qizhou, Wan, Quan, Leng, Zhixiong, Xu, Yanlin, Yan, Bingchen, Zhang, He, Huang, Hongliang, Sun, Shaohua. A fast interpretable adaptive meta-learning enhanced deep learning framework for diagnosis of diabetic retinopathy[J]. Expert Systems with Applications, 2024, 244, 123074.
Authors:  Wang, Maofa;  Gong, Qizhou;  Wan, Quan;  Leng, Zhixiong;  Xu, Yanlin; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:7.5/7.6 | Submit date：2024/05/16
Adaptive Meta-learning  Deep Learning  Few-shot Classification  Interpretability  Logistic Regression  
KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation Journal article
Tao, Wei, Zhou, Yucheng, Wang, Yanlin, Zhang, Hongyu, Wang, Haofen, Zhang, Wenqiang. KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation[J]. ACM Transactions on Software Engineering and Methodology, 2024, 33(5), 133.
Authors:  Tao, Wei;  Zhou, Yucheng;  Wang, Yanlin;  Zhang, Hongyu;  Wang, Haofen; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:6.6/6.6 | Submit date：2024/07/04
Commit Message Generation  Denoising Training  Knowledge Introducing  
Controlling the film structure by regulating 2D Ruddlesden-Popper perovskite formation enthalpy for efficient and stable tri-cation perovskite solar cells Journal article
Chao Liang, K. M.Muhammed Salim,, Pengwei Li, Zhuo Wang, Teck Ming Koh, Hao Gu, Bo Wu, Junmin Xia, Zhipeng Zhang, Kaiyang Wang, Tanghao Liu, Qi Wei, Sisi Wang, Yuxin Tang, Guosheng Shao, Yanlin Song, Nripan Mathews, Guichuan Xing. Controlling the film structure by regulating 2D Ruddlesden-Popper perovskite formation enthalpy for efficient and stable tri-cation perovskite solar cells[J]. Journal of Materials Chemistry A, 2020, 8(12), 5874-5881.
Authors:  Chao Liang;  K. M.Muhammed Salim,;  Pengwei Li;  Zhuo Wang;  Teck Ming Koh; et al.
Favorite | TC[WOS]:22 TC[Scopus]:23  IF:10.7/10.8 | Submit date：2021/03/11