Xin Zhang

JUNO aims to reveal dark matter through neutrino detection and advanced analysis techniques.

A new model enhances tensor analysis for complex data, improving robustness against outliers.

A study assesses the effectiveness of LLMs in interpreting radiology reports.

A new approach for better estimates in statistical modeling of complex data.

New methods improve speech processing and generation in language models.

An overview of large language models and their impact on communication technology.

SpeechAgents enhances AI communication with speech and signals for more realistic interactions.

Investigating ultralight bosonic particles and their effects on black holes.

JUNO aims to enhance detection of neutrinos from core-collapse supernovae.

A new algorithm improves regression analysis while prioritizing data privacy.

This article explores a new way to compare solutions in Wasserstein space.

AnyGPT processes text, images, music, and speech for diverse applications.

Examining the significance and challenges of literature reviews in Pattern Analysis and Machine Intelligence.

Learn how the 21 cm signal reveals secrets of the early universe.

Researchers explore how structured light interacts with spin for innovative applications.

Gravitational waves offer new ways to study massive cosmic events.

Research shows how light alters superconducting materials using metamaterials.

New model improves depth estimation using event camera data through efficient algorithms.

New framework improves detection of strong gravitational lensing systems in astronomical images.

A new method enhances decentralized federated learning while maintaining data privacy.

MODA enhances decision-making processes in urban areas using advanced learning techniques.

A new method improves video frame interpolation using polarized light techniques.

A look into how rotating black holes interact with vector fields.

LaMAGIC automates analog circuit design, saving time and improving accuracy for engineers.

A study on improving CNNs using partial labels and adversarial attack models.

Astronomers enhance redshift measurements with machine learning techniques for clearer cosmic insights.

Examining FGF signaling pathways and their impact on lens formation.

Studying how moving cylinders create sound waves in fluids for practical applications.

A look into the genetic causes and mechanisms behind Peters anomaly in eye development.

A simplified approach to two-particle interference using a delta potential well.

Introducing FMDLlama, a language model to detect false financial information.

A study of point movement and reflections within a regular pentagon.

A new method to balance general knowledge and task-specific adaptation in models.

A look at how the Potts model explains complex phase transitions in materials.