Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities

Kavli Affiliate: Cheng Peng | First 5 Authors: Hongwei Chen, Sathya R. Chitturi, Rajan Plumley, Lingjia Shen, Nathan C. Drucker | Summary: The advent of next-generation X-ray free electron lasers will be capable of delivering X-rays at a repetition rate approaching 1 MHz continuously. This will require the development of data systems to handle experiments […]


Continue.. Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities

Traces of Electron-Phonon Coupling in One-Dimensional Cuprates

Kavli Affiliate: Cheng Peng | First 5 Authors: Ta Tang, Brian Moritz, Cheng Peng, Z. X. Shen, Thomas P. Devereaux | Summary: The appearance of certain spectral features in one-dimensional (1D) cuprate materials has been attributed to a strong, extended attractive coupling between electrons. Here, using time-dependent density matrix renormalization group methods on a Hubbard-extended […]


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Superconductivity in doped triangular Mott insulators: the roles of parent spin backgrounds and charge kinetic energy

Kavli Affiliate: Zheng Zhu | First 5 Authors: Zheng Zhu, Qianqian Chen, , , | Summary: We study the prerequisites for realizing superconductivity in doped triangular-lattice Mott insulators by considering three distinct parent spin backgrounds, i.e., $120^{circ}$ antiferromagnets, quantum spin liquid, and stripy antiferromagnets, and all possible sign combinations $(tau_1, tau_2)$ of nearest-neighbor hopping and […]


Continue.. Superconductivity in doped triangular Mott insulators: the roles of parent spin backgrounds and charge kinetic energy

Superconductivity in doped triangular Mott insulators: the roles of parent spin backgrounds and charge kinetic energy

Kavli Affiliate: Zheng Zhu | First 5 Authors: Zheng Zhu, Qianqian Chen, , , | Summary: We study the prerequisites for realizing superconductivity in doped triangular-lattice Mott insulators by considering three distinct parent spin backgrounds, i.e., $120^{circ}$ antiferromagnets, quantum spin liquid, and stripy antiferromagnets, and all possible sign combinations $(tau_1, tau_2)$ of nearest-neighbor hopping and […]


Continue.. Superconductivity in doped triangular Mott insulators: the roles of parent spin backgrounds and charge kinetic energy

Superconductivity in doped triangular Mott insulators: the roles of parent spin backgrounds and charge kinetic energy

Kavli Affiliate: Zheng Zhu | First 5 Authors: Zheng Zhu, Qianqian Chen, , , | Summary: We study the prerequisites for realizing superconductivity in doped triangular-lattice Mott insulators by considering three distinct parent spin backgrounds, i.e., $120^{circ}$ antiferromagnets, quantum spin liquid, and stripy antiferromagnets, and all possible sign combinations $(tau_1, tau_2)$ of nearest-neighbor hopping and […]


Continue.. Superconductivity in doped triangular Mott insulators: the roles of parent spin backgrounds and charge kinetic energy

OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions

Kavli Affiliate: Zheng Zhu | First 5 Authors: Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu | Summary: The pretrain-finetune paradigm in modern computer vision facilitates the success of self-supervised learning, which tends to achieve better transferability than supervised learning. However, with the availability of massive labeled data, a natural question emerges: how […]


Continue.. OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions

DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, S. Kevin Zhou, Rama Chellappa, , | Summary: Medical image super-resolution (SR) is an active research area that has many potential applications, including reducing scan time, bettering visual understanding, increasing robustness in downstream tasks, etc. However, applying deep-learning-based SR approaches for clinical applications often encounters […]


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Multi-Modal Human Authentication Using Silhouettes, Gait and RGB

Kavli Affiliate: Cheng Peng | First 5 Authors: Yuxiang Guo, Cheng Peng, Chun Pong Lau, Rama Chellappa, | Summary: Whole-body-based human authentication is a promising approach for remote biometrics scenarios. Current literature focuses on either body recognition based on RGB images or gait recognition based on body shapes and walking patterns; both have their advantages […]


Continue.. Multi-Modal Human Authentication Using Silhouettes, Gait and RGB