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 […]
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 […]
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 […]
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 […]
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 […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Han Xiao, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu | Summary: Data mixing strategies (e.g., CutMix) have shown the ability to greatly improve the performance of convolutional neural networks (CNNs). They mix two images as inputs for training and assign them with a mixed label with […]
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 […]
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 […]
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 […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Jiangtao Feng, Yi Zhou, Jun Zhang, Xian Qian, Liwei Wu | Summary: PARAGEN is a PyTorch-based NLP toolkit for further development on parallel generation. PARAGEN provides thirteen types of customizable plugins, helping users to experiment quickly with novel ideas across model architectures, optimization, and learning strategies. We […]