Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang, | Summary: In this paper, we tackle a new problem of textit{multi-source unsupervised domain adaptation (MSUDA) for graphs}, where models trained on annotated source domains need to be transferred to the unsupervised target graph for node classification. Due to […]
Kavli Affiliate: Flora Vaccarino | Authors: Xoel Mato-Blanco, Suel-Kee Kim, Alexandre Jourdon, Shaojie Ma, Andrew T.N. Tebbenkamp, Fuchen Liu, Alvaro Duque, Flora M. Vaccarino, Nenad Sestan, Carlo Colantuoni, Pasko Rakic, Gabriel Santpere and Nicola Micali | Summary: The implications of the early phases of human telencephalic development, involving neural stem cells (NSCs), in the etiology […]
Kavli Affiliate: Jia Liu | First 5 Authors: Minghong Fang, Zifan Zhang, Hairi, Prashant Khanduri, Jia Liu | Summary: Federated learning (FL) enables multiple clients to collaboratively train machine learning models without revealing their private training data. In conventional FL, the system follows the server-assisted architecture (server-assisted FL), where the training process is coordinated by […]
Kavli Affiliate: Jia Liu | First 5 Authors: Minghong Fang, Zifan Zhang, Hairi, Prashant Khanduri, Jia Liu | Summary: Federated learning (FL) enables multiple clients to collaboratively train machine learning models without revealing their private training data. In conventional FL, the system follows the server-assisted architecture (server-assisted FL), where the training process is coordinated by […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Kangrui Chang, Haobin Zheng, Yongzhuang Zhou, Yong Shen | Summary: Despite the wide applications for high-repetition-rate mode-locked fiber lasers, challenges persist in shortening the cavity length and coupling the fiber collimators for most existing techniques. Here, we introduce a novel collimator alignment method and demonstrate […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Junho Myung, Nayeon Lee, Yi Zhou, Jiho Jin, Rifki Afina Putri | Summary: Large language models (LLMs) often lack culture-specific knowledge of daily life, especially across diverse regions and non-English languages. Existing benchmarks for evaluating LLMs’ cultural sensitivities are limited to a single language or collected from […]