Electrically Tunable Magnetoconductance of Close-Packed CVD Bilayer Graphene Layer Stacking Walls

Kavli Affiliate: Feng Wang | First 5 Authors: Qicheng Zhang, Sheng Wang, Zhaoli Gao, Sebastian Hurtado-Parra, Joel Berry | Summary: Quantum valley Hall (QVH) domain wall states are a new class of one-dimensional (1D) one-way conductors that are topologically protected in the absence of valley mixing. Development beyond a single QVH channel raises important new […]


Continue.. Electrically Tunable Magnetoconductance of Close-Packed CVD Bilayer Graphene Layer Stacking Walls

OmniControlNet: Dual-stage Integration for Conditional Image Generation

Kavli Affiliate: Xiang Zhang | First 5 Authors: Yilin Wang, Haiyang Xu, Xiang Zhang, Zeyuan Chen, Zhizhou Sha | Summary: We provide a two-way integration for the widely adopted ControlNet by integrating external condition generation algorithms into a single dense prediction method and incorporating its individually trained image generation processes into a single model. Despite […]


Continue.. OmniControlNet: Dual-stage Integration for Conditional Image Generation

History-Aware Planning for Risk-free Autonomous Navigation on Unknown Uneven Terrain

Kavli Affiliate: Xiang Zhang | First 5 Authors: Yinchuan Wang, Nianfei Du, Yongsen Qin, Xiang Zhang, Rui Song | Summary: It is challenging for the mobile robot to achieve autonomous and mapless navigation in the unknown environment with uneven terrain. In this study, we present a layered and systematic pipeline. At the local level, we […]


Continue.. History-Aware Planning for Risk-free Autonomous Navigation on Unknown Uneven Terrain

Variational time reversal for free energy estimation in nonequilibrium steady states

Kavli Affiliate: David T. Limmer | First 5 Authors: Jorge L. Rosa-Raíces, David T. Limmer, , , | Summary: Studying the structure of systems in nonequilibrium steady states necessitates tools that quantify population shifts and associated deformations of equilibrium free energy landscapes under persistent currents. Within the framework of stochastic thermodynamics, we establish a variant […]


Continue.. Variational time reversal for free energy estimation in nonequilibrium steady states

LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning

Kavli Affiliate: Xiang Zhang | First 5 Authors: Junjie Xu, Zongyu Wu, Minhua Lin, Xiang Zhang, Suhang Wang | Summary: Recent progress in Graph Neural Networks (GNNs) has greatly enhanced the ability to model complex molecular structures for predicting properties. Nevertheless, molecular data encompasses more than just graph structures, including textual and visual information that […]


Continue.. LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning

On The Implicit Large Eddy Simulation of Turbomachinery Flows Using The Flux Reconstruction Method

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, , , , | Summary: A high order flux reconstruction solver has been developed and validated to perform implicit large eddy simulations of industrially representative turbomachinery flows. The T106c low-pressure turbine and VKI LS89 high-pressure turbine cases are studied. The solver uses the Rusanov Riemann […]


Continue.. On The Implicit Large Eddy Simulation of Turbomachinery Flows Using The Flux Reconstruction Method

UnitNorm: Rethinking Normalization for Transformers in Time Series

Kavli Affiliate: Xiang Zhang | First 5 Authors: Nan Huang, Christian Kümmerle, Xiang Zhang, , | Summary: Normalization techniques are crucial for enhancing Transformer models’ performance and stability in time series analysis tasks, yet traditional methods like batch and layer normalization often lead to issues such as token shift, attention shift, and sparse attention. We […]


Continue.. UnitNorm: Rethinking Normalization for Transformers in Time Series

Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

Kavli Affiliate: Xiang Zhang | First 5 Authors: Yihe Wang, Nan Huang, Taida Li, Yujun Yan, Xiang Zhang | Summary: Medical time series data, such as Electroencephalography (EEG) and Electrocardiography (ECG), play a crucial role in healthcare, such as diagnosing brain and heart diseases. Existing methods for medical time series classification primarily rely on handcrafted […]


Continue.. Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

SCALM: Towards Semantic Caching for Automated Chat Services with Large Language Models

Kavli Affiliate: Feng Wang | First 5 Authors: Jiaxing Li, Chi Xu, Feng Wang, Isaac M von Riedemann, Cong Zhang | Summary: Large Language Models (LLMs) have become increasingly popular, transforming a wide range of applications across various domains. However, the real-world effectiveness of their query cache systems has not been thoroughly investigated. In this […]


Continue.. SCALM: Towards Semantic Caching for Automated Chat Services with Large Language Models

Mamba-R: Vision Mamba ALSO Needs Registers

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Jiahao Wang, Sucheng Ren, Guoyizhe Wei, Jieru Mei | Summary: Similar to Vision Transformers, this paper identifies artifacts also present within the feature maps of Vision Mamba. These artifacts, corresponding to high-norm tokens emerging in low-information background areas of images, appear much more severe in […]


Continue.. Mamba-R: Vision Mamba ALSO Needs Registers