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

1 citations · 1 across the 5 of their papers we have counts for

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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.LG2024★ 1 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…