Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Siqi Li, Xin Li, Kunyu Yu, Di Miao, Mingcheng Zhu | Summary: Clinical and biomedical research in low-resource settings often faces significant challenges due to the need for high-quality data with sufficient sample sizes to construct effective models. These constraints hinder robust model training and prompt […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Siqi Li, Xin Li, Kunyu Yu, Di Miao, Mingcheng Zhu | Summary: Clinical and biomedical research in low-resource settings often faces significant challenges due to the need for high-quality data with sufficient sample sizes to construct effective models. These constraints hinder robust model training and prompt […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Siqi Li, Xin Li, Kunyu Yu, Di Miao, Mingcheng Zhu | Summary: Clinical and biomedical research in low-resource settings often faces significant challenges due to the need for high-quality data with sufficient sample sizes to construct effective models. These constraints hinder robust model training and prompt […]
Kavli Affiliate: Gregory Herczeg | First 5 Authors: Geumsook Park, Doug Johnstone, Carlos Contreras Pena, Jeong-Eun Lee, Sheng-Yuan Liu | Summary: We present a comprehensive analysis of young stellar object (YSO) variability within the M17 Southwest Extension (M17 SWex), using 3.5 years of monitoring data from the JCMT Transient Survey at sub-millimeter (sub-mm) and 9 […]
Kavli Affiliate: Luis C. Ho | First 5 Authors: Cheqiu Lyu, Yingjie Peng, Yipeng Jing, Xiaohu Yang, Luis C. Ho | Summary: The properties of the galaxies are tightly connected to their host halo mass and halo assembly history. Accurate measurement of the halo assembly history in observation is challenging but crucial to the understanding […]
Kavli Affiliate: Feng Yuan | First 5 Authors: Cheqiu Lyu, Yingjie Peng, Yipeng Jing, Xiaohu Yang, Luis C. Ho | Summary: The properties of the galaxies are tightly connected to their host halo mass and halo assembly history. Accurate measurement of the halo assembly history in observation is challenging but crucial to the understanding of […]
Kavli Affiliate: Jing Wang | First 5 Authors: Hongke Zhao, Songming Zheng, Likang Wu, Bowen Yu, Jing Wang | Summary: The explainability of recommendation systems is crucial for enhancing user trust and satisfaction. Leveraging large language models (LLMs) offers new opportunities for comprehensive recommendation logic generation. However, in existing related studies, fine-tuning LLM models for […]