Kavli Affiliate: Yi Zhou | First 5 Authors: Kaiwen Huang, Kaiwen Huang, , , | Summary: Semi-supervised learning has gained considerable popularity in medical image segmentation tasks due to its capability to reduce reliance on expert-examined annotations. Several mean-teacher (MT) based semi-supervised methods utilize consistency regularization to effectively leverage valuable information from unlabeled data. However, […]

Kavli Affiliate: Long Zhang | First 5 Authors: Anxiang Zeng, Anxiang Zeng, , , | Summary: Recent R1-Zero-like research further demonstrates that reasoning extension has given large language models (LLMs) unprecedented reasoning capabilities, and Reinforcement Learning is the core technology to elicit its complex reasoning. However, conducting RL experiments directly on hyperscale models involves high […]

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yuchu Jiang, Yuchu Jiang, , , | Summary: The rapid advancement of AI has expanded its capabilities across domains, yet introduced critical technical vulnerabilities, such as algorithmic bias and adversarial sensitivity, that pose significant societal risks, including misinformation, inequity, security breaches, physical harm, and eroded public trust. […]

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yuchu Jiang, Yuchu Jiang, , , | Summary: The rapid advancement of AI has expanded its capabilities across domains, yet introduced critical technical vulnerabilities, such as algorithmic bias and adversarial sensitivity, that pose significant societal risks, including misinformation, inequity, security breaches, physical harm, and eroded public trust. […]

Kavli Affiliate: Zheng Zhu | First 5 Authors: Chaojun Ni, Chaojun Ni, , , | Summary: Reinforcement learning for training end-to-end autonomous driving models in closed-loop simulations is gaining growing attention. However, most simulation environments differ significantly from real-world conditions, creating a substantial simulation-to-reality (sim2real) gap. To bridge this gap, some approaches utilize scene reconstruction […]

Kavli Affiliate: Zheng Zhu | First 5 Authors: Chaojun Ni, Chaojun Ni, , , | Summary: Reinforcement learning for training end-to-end autonomous driving models in closed-loop simulations is gaining growing attention. However, most simulation environments differ significantly from real-world conditions, creating a substantial simulation-to-reality (sim2real) gap. To bridge this gap, some approaches utilize scene reconstruction […]

Kavli Affiliate: Masahiro Nozaki | Summary:In this paper, we investigate the entanglement dynamics induced by a composite operator, defined as the local operator evolved with the time evolution operator constructed of the Euclidean and Lorentzian ones. The systems under consideration are described by two-dimensional holographic conformal field theories (2d holographic CFTs), the theories described by […]

Kavli Affiliate: Gang Su | First 5 Authors: Qing-Han Yang, Qing-Han Yang, , , | Summary: The development of room-temperature magnetic semiconductors is critical for advancing spintronic technologies, yet van der Waals magnets like CrI3 exhibit intrinsically low Curie temperatures (Tc = 45 K). This study employs first-principles calculations to demonstrate that atom intercalation, particularly […]

Kavli Affiliate: Cheng Peng | First 5 Authors: Yiqun Liu, Yiqun Liu, , , | Summary: A Turing degree is d.c.e. if it contains a set that is the difference of two c.e. sets. A d.c.e. degree $mathbfd$ is isolated by a c.e. degree $mathbfa<mathbfd$ if all c.e. degrees that are below $mathbfd$ are also […]

Kavli Affiliate: Gang Su | First 5 Authors: Junsen Xiang, Junsen Xiang, , , | Summary: Bose-Einstein condensation (BEC), a macroscopic quantum phenomenon arising from phase coherence and bosonic statistics, has been realized in quantum magnets. Here, we report the observation of a universal magnetocaloric effect (MCE) near a BEC quantum critical point (QCP) in […]