2 citations · 2 across the 6 of their papers we have counts for
6 papers
Physics-informed Attention-enhanced Fourier Neural Operator for Solar Magnetic Field Extrapolations
Jinghao Cao, Qin Li, Mengnan Du +2
We propose Physics-informed Attention-enhanced Fourier Neural Operator (PIANO) to solve the Nonlinear Force-Free Field (NLFFF) problem in solar physics. Unlike conventional approac…
SAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language Models
Zirui He, Mingyu Jin, Bo Shen +3
Large language models (LLMs) have demonstrated impressive capabilities in natural language understanding and generation, but controlling their behavior reliably remains challenging…
Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution
Haiyan Zhao, Heng Zhao, Bo Shen +3
Probing learned concepts in large language models (LLMs) is crucial for understanding how semantic knowledge is encoded internally. Training linear classifiers on probing tasks is…
Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges
Bo Shen, Marco Marena, Chenyang Li +5
With recent missions such as advanced space-based observatories like the Solar Dynamics Observatory (SDO) and Parker Solar Probe, and ground-based telescopes like the Daniel K. Ino…
Global-local Fourier Neural Operator for Accelerating Coronal Magnetic Field Model
Yutao Du, Qin Li, Raghav Gnanasambandam +3
Exploring the outer atmosphere of the sun has remained a significant bottleneck in astrophysics, given the intricate magnetic formations that significantly influence diverse solar…
On Model Compression for Neural Networks: Framework, Algorithm, and Convergence Guarantee
Chenyang Li, Jihoon Chung, Mengnan Du +3
Model compression is a crucial part of deploying neural networks (NNs), especially when the memory and storage of computing devices are limited in many applications. This paper foc…