Cheng Wang

This study focuses on developing models for topological insulator materials.

Improving the accuracy of numerical methods for phase separation analysis.

PadFL improves model sharing and efficiency across varying device capabilities.

A new framework aims to improve accuracy and efficiency in medical image analysis.

Improving numerical methods for gradient flows with a modified Lagrange multiplier approach.

Researching energy stability in crystal simulations enhances material behavior predictions.

Improving trust and compliance in language models through accurate source attribution.

New methods improve efficiency in deep neural networks, reducing energy use and increasing speed.

Research presents a model addressing phase separation in mixed materials with boundary effects.

TrackSSM enhances tracking accuracy for dynamic objects in various environments.

Learn how kurtosis affects data behavior across various fields.

HiSC4D captures human movement using wearable sensors for better interaction analysis.

Researchers are using thin-film lithium niobate to improve lasers and communication systems.

A new method enhances SDF accuracy using the screened Poisson equation.

New methods improve decision-making in self-driving cars, enhancing safety and efficiency.

Explore the significance of Spearman’s rank correlation for analyzing complex data relationships.