35 citations · 43 across the 9 of their papers we have counts for
9 papers
Zodiac: A Cardiologist-Level LLM Framework for Multi-Agent Diagnostics
Yuan Zhou, Peng Zhang, Mengya Song +5
Large language models (LLMs) have demonstrated remarkable progress in healthcare. However, a significant gap remains regarding LLMs' professionalism in domain-specific clinical pra…
Flattening-off of droplet bouncing trend under high ambient gas pressures
C. Zhang, Z. Zhang, P. Zhang +2
It was previously observed that colliding liquid droplets in a gaseous medium tend to bounce off at elevated gas pressure up to about 12 atm. In this letter, we extended the drople…
A Dynamic Droplet Breakup Model for Eulerian-Lagrangian Simulation of Liquid-fueled Detonation
Wenhao Wang, Miao Yang, Zongmin Hu +1
This study proposes a dynamic model to reflect the physical image of the droplet breakup process in two-phase detonation flows. This breakup model is implemented in a two-phase det…
Frequency-aware Graph Signal Processing for Collaborative Filtering
Jiafeng Xia, Dongsheng Li, Hansu Gu +4
Graph Signal Processing (GSP) based recommendation algorithms have recently attracted lots of attention due to its high efficiency. However, these methods failed to consider the im…
Physics-Informed Induction Machine Modelling
Qing Shen, Yifan Zhou, Peng Zhang
This rapid communication devises a Neural Induction Machine (NeuIM) model, which pilots the use of physics-informed machine learning to enable AI-based electromagnetic transient si…
Physics-Aware Neural Dynamic Equivalence of Power Systems
Qing Shen, Yifan Zhou, Qiang Zhang +3
This letter devises Neural Dynamic Equivalence (NeuDyE), which explores physics-aware machine learning and neural-ordinary-differential-equations (ODE-Net) to discover a dynamic eq…