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Explorez l'excellence culinaire japonaise au restaurant Jun, une expérience gastronomique inégalée conçue par le renommé Chef Shu HGasegawa. Découvrez des saveurs authentiques et raffinées dans un cadre élégant, où la tradition rencontre l'innovation. Réservez dès maintenant pour un voyage culinaire mémorable chez Jun.
8 de may. de 2024 · Syst. 34 ( 3): 1194-1208 ( 2023) [c11] Yongheng Sun, Fan Wang, Jun Shu, Haifeng Wang, Li Wang, Deyu Meng, Chunfeng Lian: Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan. ICCV 2023: 21061-21071.
Jun Shu received the BE degree from Xi’an Jiaotong University, Xi’an, China, in 2016, where he is currently working toward the PhD degree, under the tuition of Prof. Deyu Meng and Prof. Zongben Xu. His current research interests include machine learning and computer vision, especially on meta learning, robust deep learning, and AutoML.
National Institute of Education 1 Nanyang Walk, Singapore 637616. Novena Campus 11 Mandalay Road, Singapore 308232. Get in touch
6 de jul. de 2021 · Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks. Jun Shu, Deyu Meng, Zongben Xu. Meta learning has attracted much attention recently in machine learning community. Contrary to conventional machine learning aiming to learn inherent prediction rules to predict labels for new query data, meta learning aims to learn the ...
2024.4.18 医療法人順秀会（星ヶ丘内科は休診中）のゴールデンウィーク診療のご案内です。. 2024.2.20 胸部X線検査精度管理調査において今年度も最高評価Aを取得しました。. 2024.1.01 スカイルビル休館日（2月20日火曜日）のお知らせです。. 2023.12.12 「東山内科 ...
10 de jun. de 2020 · Meta Transition Adaptation for Robust Deep Learning with Noisy Labels. Jun Shu, Qian Zhao, Zongben Xu, Deyu Meng. To discover intrinsic inter-class transition probabilities underlying data, learning with noise transition has become an important approach for robust deep learning on corrupted labels. Prior methods attempt to achieve such ...
