3.4k citations
- University of Chinese Academy of SciencesCN291 papers
- Peking UniversityCN275 papers
- Hunan UniversityCN271 papers
- Tsinghua UniversityCN259 papers
- Hunan Normal UniversityCN251 papers
- Wuhan UniversityCN251 papers
- Uppsala UniversitySE245 papers
- South China Normal UniversityCN243 papers
- Lanzhou UniversityCN241 papers
- Central China Normal UniversityCN240 papers
- University of ManchesterGB240 papers
- University of OxfordGB240 papers
1,075 papers
CoDG-Net: Structure-Guided Style Diffusion and Collaborative Learning to Mitigate Catastrophic Forgetting in Medical Image Domain Generalization
Yucheng Song, Jincan Wang, Haokang Ding +3
Domain Generalization (DG) for medical image segmentation is both highly challenging and critically important. However, existing medical DG methods largely overlook the issue of Ca…
When Trust Attracts Fraud: AI and Trust Arbitrage
Xieyu Yin, Fenghua Wen
Trust can attract fraud when it delays verification. We develop a two-market signaling model in which generative AI lowers fabrication, verification, and targeting costs. When fabr…
Physics-Informed Stochastic Configuration Machine: A Backpropagation-Free Neural Network with Fast Training for Nonlinear Differential Equations
Yuehao Song, Zhong Chen, Lihui Cen +2
While Physics-Informed Neural Networks (PINNs) have emerged as a transformative paradigm for solving complex differential equations, their reliance on backpropagation-based gradien…
Learning to Discretize: Diffusion-Based Adaptive Mesh with Spectral Guidance
Zixuan Shen, Bingchuan Wang, Zhi Wang +1
Most neural partial differential equation (PDE) surrogates learn how fields evolve after a grid has already been chosen. However, before any operator is applied, the grid has alrea…
Unconventional Spin Valve Based on Normal Metal/Chiral Molecule/Altermagnet Junctions
Tian-Yi Zhang, Peng-Yi Liu, Yu-Fei Sun +2
Chiral molecules have attracted broad interdisciplinary interest for their ability to produce highly spin-polarized current. This phenomenon, known as the chiral-induced spin selec…
LABO: LLM-Accelerated Bayesian Optimization through Broad Exploration and Selective Experimentation
Zhuo Chen, Xinzhe Yuan, Jianshu Zhang +8
The high cost and data scarcity in scientific exploration have motivated the use of large language models (LLMs) as knowledge-driven components in Bayesian optimization (BO). Howev…