Meng Wang

Researchers study electromagnetic properties of charmed baryons, revealing complex structures.

Examining the unpredictable nature of code generation with ChatGPT.

This system uses robots to efficiently transport objects in various directions.

Recent findings enhance understanding of non-open charm hadrons and their interactions.

This study measures cross sections of particle interactions at various energies.

A new method for better image quality at low data sizes.

Recent studies on hyperons reveal key details about their interactions and properties.

Study measures particle interactions across specific energy levels.

Research uncovers details on excited hyperons, advancing knowledge in particle physics.

LaNiO2 shows promise as a high-temperature superconductor with unique properties.

Researchers study a rare particle's lineshape using high-energy collision data.

Examining the decay processes of charmed baryons to understand fundamental forces.

Research reveals how doping and pressure alter (Mn Mg) Si Te's magnetic and electronic behavior.

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

A new method improves visual prompt tuning for better model performance.

New measurements reveal insights into particle interactions and states.

A look into quantum memory's importance and applications in computing.

Research advances understanding of particle decay and its role in the universe.

Research reveals new details about resonances in particle physics.

A new model enhances student assessment through improved response analysis.

A new framework for generating realistic mobility data using reasoning.

Researchers investigate non-Abelian braiding operations in quantum states for improved computing.

A new approach enhances recommendations by leveraging collaborative filtering and contrastive learning.

Investigating LaNiO’s unique properties and its potential for superconductivity.

Research unveils crucial findings on particle behavior in high-energy collisions.

A new method improves recommendations using adaptable embeddings and efficient resource management.

A predictive model helps game developers forecast player spending behavior.

PandaX-4T aims to deepen our knowledge of dark matter through advanced detection techniques.

This article reviews ways to optimize the User Plane Function in 5G networks.

Study reveals first observations of semileptonic decays involving charm mesons.

Exploring specialized neurons designed for specific tasks in artificial networks.

Researchers study particle collisions to identify six predicted -even states in charmonium.

Rare particle decays offer insight into fundamental physics and the behavior of matter.

A look into how cracks develop and interact in various materials.

Recent findings enhance understanding of particle interactions and resonant structures.

Recent experiments at a Chinese collider reveal significant particle interactions.

Investigating large language models’ effectiveness in translating real-world code into Rust.

TANQ-Sim enhances quantum program simulation by effectively managing noise and improving performance.

FedHPL enhances federated learning efficiency while ensuring data privacy across devices.

This article discusses a module that selects purification protocols for better entangled pair quality.

EyeMoS improves eye disease detection through multi-modality learning and uncertainty estimation.

A new approach to ensure fairness in cognitive diagnosis using sensitive information.

Researchers investigate elusive particle decay with unexpected results.

RetiZero enhances eye disease identification using advanced AI techniques and extensive data.

Researchers refine measurement of branching fraction in charmonium decay processes using BESIII data.

Study reveals critical roles of ENT transporters in C. elegans reproductive health.

LaNiO shows promise as a high-temperature superconductor under pressure.

A new method enhances the performance of flexible unmanned aerial vehicles.

PandaX-4T aims to detect solar B neutrinos and explore dark matter.

Research examines reactions of protons in atomic nuclei during collisions.

Modular tactile sensors improve robotic grippers for delicate tasks.

New model SDI-Net improves clarity in low-light images using dual stereo views.

PandaX-4T searches for new particles to explain cosmic mysteries.

MedSAM-U improves segmentation accuracy through uncertainty-guided prompt adaptation.

StyleTokenizer improves image generation by separating style and text instructions.

PandaX-4T experiment searches for axion-like particles and dark photons.

A new approach enhances video question answering through scene text recognition.

A method to manage noisy data in machine learning.

Scientists study rare neutrino processes to reveal cosmic mysteries.

Innovative ways to handle visual data while protecting the environment.

GazeSeg revolutionizes how machines track and understand human gaze.

Learn how to effectively translate Go projects into Rust with this step-by-step method.

New robotic hands with tactile sensors revolutionize object handling capabilities.

Scientists search for rare neutrino decay to unravel cosmic secrets.

Scientists investigate dark matter particles energized by the Sun.