most citedSelf-Reasoning Assistant Learning for non-Abelian Gauge Fields Design

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2025

A Composable Multimodal Framework for cine CMR-Text-Driven Prediction of Heart Failure Outcomes

Jianzhou Chen, Jinyang Sun, Xiumei Wang +6

Objective. Heart failure is one of the leading causes of death worldwide, with millions of deaths each year, according to data from the World Health Organization (WHO) and other pu…

cs.LG20241 cited

Self-Reasoning Assistant Learning for non-Abelian Gauge Fields Design

Jinyang Sun, Xi Chen, Xiumei Wang +2

Non-Abelian braiding has attracted substantial attention because of its pivotal role in describing the exchange behaviour of anyons, in which the input and outcome of non-Abelian b…

physics.app-ph2024

Composable Generation Strategy Framework Enabled Bidirectional Design on Topological Circuits

Xi Chen, Jinyang Sun, Xiumei Wang +4

Topological insulators show important properties, such as topological phase transitions and topological edge states. Although these properties and phenomena can be simulated by wel…

physics.optics2024

Photonic Modes Prediction via Multi-Modal Diffusion Model

Jinyang Sun, Xi Chen, Xiumei Wang +2

The concept of photonic modes is the cornerstone in optics and photonics, which can describe the propagation of the light. The Maxwell's equations play the role in calculating the…

physics.app-ph2024

Deep learning for the design of non-Hermitian topolectrical circuits

Xi Chen, Jinyang Sun, Xiumei Wang +3

Non-Hermitian topological phases can produce some remarkable properties, compared with their Hermitian counterpart, such as the breakdown of conventional bulk-boundary corresponden…