20 citations · 27 across the 11 of their papers we have counts for
11 papers
Fourth-order compact difference schemes for the one-dimensional Euler-Bernoulli beam equation with damping term
Wenjie Huang, Hao Wang, Shiquan Zhang +1
This paper proposes and analyzes a finite difference method based on compact schemes for the Euler-Bernoulli beam equation with damping terms. The method achieves fourth-order accu…
Solving Multi-Group Neutron Diffusion Eigenvalue Problem with Decoupling Residual Loss Function
Shupei Yu, Qiaolin He, Shiquan Zhang +3
In the midst of the neural network's success in solving partial differential equations, tackling eigenvalue problems using neural networks remains a challenging task. However, the…
ScreenTK: Seamless Detection of Time-Killing Moments Using Continuous Mobile Screen Text and On-Device LLMs
Le Fang, Shiquan Zhang, Hong Jia +2
Smartphones have become essential to people's digital lives, providing a continuous stream of information and connectivity. However, this constant flow can lead to moments where us…
Enabling On-Device LLMs Personalization with Smartphone Sensing
Shiquan Zhang, Ying Ma, Le Fang +3
This demo presents a novel end-to-end framework that combines on-device large language models (LLMs) with smartphone sensing technologies to achieve context-aware and personalized…
A Projection-Based Time-Segmented Reduced Order Model for Fluid-Structure Interactions
Qijia Zhai, Shiquan Zhang, Pengtao Sun +1
In this paper, a type of novel projection-based, time-segmented reduced order model (ROM) is proposed for dynamic fluid-structure interaction (FSI) problems based upon the arbitrar…
On the uncertainty analysis of the data-enabled physics-informed neural network for solving neutron diffusion eigenvalue problem
Yu Yang, Helin Gong, Qihong Yang +3
In practical engineering experiments, the data obtained through detectors are inevitably noisy. For the already proposed data-enabled physics-informed neural network (DEPINN) \cite…