Boosting Multi-modal Model Performance with Adaptive Gradient Modulation

Kavli Affiliate: Yi Zhou | First 5 Authors: Hong Li, Xingyu Li, Pengbo Hu, Yinuo Lei, Chunxiao Li | Summary: While the field of multi-modal learning keeps growing fast, the deficiency of the standard joint training paradigm has become clear through recent studies. They attribute the sub-optimal performance of the jointly trained model to the […]


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Unveiling Correlated Topological Insulators through Fermionic Tensor Network States — Classification, Edge Theories and Variational Wavefunctions

Kavli Affiliate: Shenghan Jiang | First 5 Authors: Chao Xu, Yixin Ma, Shenghan Jiang, , | Summary: The study of topological band insulators has revealed fascinating phases characterized by band topology indices, harboring extraordinary boundary modes protected by anomalous symmetry actions. In strongly correlated systems, where the traditional notion of electronic bands becomes obsolete, it […]


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Dynamical Majorana Ising spin response in a topological superconductor-magnet hybrid by microwave irradiation

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Yuya Ominato, Ai Yamakage, Mamoru Matsuo, , | Summary: We study a dynamical spin response of surface Majorana fermions in a topological superconductor-magnet hybrid under microwave irradiation. We find a method to toggle between dissipative and non-dissipative Majorana Ising spin dynamics by adjusting the external magnetic field […]


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Dynamical Majorana Ising spin response in a topological superconductor-magnet hybrid by microwave irradiation

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Yuya Ominato, Ai Yamakage, Mamoru Matsuo, , | Summary: We study a dynamical spin response of surface Majorana modes in a topological superconductor-magnet hybrid under microwave irradiation. We find a method to toggle between dissipative and non-dissipative Majorana Ising spin dynamics by adjusting the external magnetic field […]


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When Super-Resolution Meets Camouflaged Object Detection: A Comparison Study

Kavli Affiliate: Cheng Peng | First 5 Authors: Juan Wen, Shupeng Cheng, Peng Xu, Bowen Zhou, Radu Timofte | Summary: Super Resolution (SR) and Camouflaged Object Detection (COD) are two hot topics in computer vision with various joint applications. For instance, low-resolution surveillance images can be successively processed by super-resolution techniques and camouflaged object detection. […]


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Electrostatic interactions between charge regulated spherical macroions

Kavli Affiliate: Rudolf Podgornik | First 5 Authors: Hu Ruixuan, Arghya Majee, Jure Dobnikar, Rudolf Podgornik, | Summary: We study the interaction between two charge regulating spherical macroions with dielectric interior and dissociable surface groups immersed in a monovalent electrolyte solution. The charge dissociation is modelled via the Frumkin-Fowler-Guggenheim isotherm, which allows for multiple adsorption […]


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Electrostatic interactions between charge regulated spherical macroions

Kavli Affiliate: Rudolf Podgornik | First 5 Authors: Hu Ruixuan, Arghya Majee, Jure Dobnikar, Rudolf Podgornik, | Summary: We study the interaction between two charge regulating spherical macroions with dielectric interior and dissociable surface groups immersed in a monovalent electrolyte solution. The charge dissociation is modelled via the Frumkin-Fowler-Guggenheim isotherm, which allows for multiple adsorption […]


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Electromagnetic Spatiotemporal Differentiators

Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Junjie Zhan, Ziyang Xu, Yifan Shao, Yubo Wang | Summary: Spatiotemporal optical computing devices which could perform mathematical operations in both spatial and temporal domains can provide unprecedented measures to build efficient and real-time information processing systems. It is particularly important to realize the comprehensive […]


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Surrogate Empowered Sim2Real Transfer of Deep Reinforcement Learning for ORC Superheat Control

Kavli Affiliate: Biao Huang | First 5 Authors: Runze Lin, Yangyang Luo, Xialai Wu, Junghui Chen, Biao Huang | Summary: The Organic Rankine Cycle (ORC) is widely used in industrial waste heat recovery due to its simple structure and easy maintenance. However, in the context of smart manufacturing in the process industry, traditional model-based optimization […]


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