Spin Pumping into Anisotropic Dirac Electrons

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Takumi Funato, Takeo Kato, Mamoru Matsuo, , | Summary: We study spin pumping into an anisotropic Dirac electron system induced by microwave irradiation to an adjacent ferromagnetic insulator theoretically. We formulate the Gilbert damping enhancement due to the spin current flowing into the Dirac electron system using […]


Continue.. Spin Pumping into Anisotropic Dirac Electrons

Enhanced superconductivity by near-neighbor attraction in the doped Hubbard model

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Yao Wang, Jiajia Wen, Young Lee, Thomas Devereaux | Summary: Recent experiment has unveiled an anomalously strong electron-electron attraction in one-dimensional copper-oxide chain Ba$_{2-x}$Sr$_x$CuO$_{3+delta}$. While the near-neighbor electron attraction $V$ in the one-dimensional extended Hubbard chain has been examined recently, its effect in the Hubbard […]


Continue.. Enhanced superconductivity by near-neighbor attraction in the doped Hubbard model

OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression

Kavli Affiliate: Zheng Zhu | First 5 Authors: Wanhua Li, Xiaoke Huang, Zheng Zhu, Yansong Tang, Xiu Li | Summary: This paper presents a language-powered paradigm for ordinal regression. Existing methods usually treat each rank as a category and employ a set of weights to learn these concepts. These methods are easy to overfit and […]


Continue.. OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression

NeMF: Neural Motion Fields for Kinematic Animation

Kavli Affiliate: Yi Zhou | First 5 Authors: Chengan He, Jun Saito, James Zachary, Holly Rushmeier, Yi Zhou | Summary: We present an implicit neural representation to learn the spatio-temporal space of kinematic motions. Unlike previous work that represents motion as discrete sequential samples, we propose to express the vast motion space as a continuous […]


Continue.. NeMF: Neural Motion Fields for Kinematic Animation

Collective effects in an incompressible electronic liquid

Kavli Affiliate: Yi Zhou | First 5 Authors: Jian-Jian Miao, Hui-Ke Jin, Yi Zhou, , | Summary: Starting from the Landau’s kinetic equation, we show that an electronic liquid in $d=2,3$ dimensions depicted by a Landau type effective theory will become incompressible on condition that the Landau parameters satisfy either (i) $1+F_{1}^{s}/d=0$ or (ii) $F_{0}^{s}to{}+infty$. […]


Continue.. Collective effects in an incompressible electronic liquid

Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors

Kavli Affiliate: Zheng Zhu | First 5 Authors: Jianfei Yang, Xiangyu Peng, Kai Wang, Zheng Zhu, Jiashi Feng | Summary: Domain Adaptation of Black-box Predictors (DABP) aims to learn a model on an unlabeled target domain supervised by a black-box predictor trained on a source domain. It does not require access to both the source-domain […]


Continue.. Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors

Improving Subgraph Representation Learning via Multi-View Augmentation

Kavli Affiliate: Yi Zhou | First 5 Authors: Yili Shen, Jiaxu Yan, Cheng-Wei Ju, Jun Yi, Zhou Lin | Summary: Subgraph representation learning based on Graph Neural Network (GNN) has broad applications in chemistry and biology, such as molecule property prediction and gene collaborative function prediction. On the other hand, graph augmentation techniques have shown […]


Continue.. Improving Subgraph Representation Learning via Multi-View Augmentation

Giant enhancement of third-harmonic generation in graphene-metal heterostructures

Kavli Affiliate: Cheng Peng | First 5 Authors: Irati Alonso Calafell, Lee A. Rozema, David Alcaraz Iranzo, Alessandro Trenti, Joel D. Cox | Summary: Nonlinear nanophotonics leverages engineered nanostructures to funnel light into small volumes and intensify nonlinear optical processes with spectral and spatial control. Due to its intrinsically large and electrically tunable nonlinear optical […]


Continue.. Giant enhancement of third-harmonic generation in graphene-metal heterostructures

FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders

Kavli Affiliate: Zheng Zhu | First 5 Authors: Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Jiankang Deng | Summary: Face recognition, as one of the most successful applications in artificial intelligence, has been widely used in security, administration, advertising, and healthcare. However, the privacy issues of public face datasets have attracted increasing attention in […]


Continue.. FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders