Wei Zhu

This article details planet discoveries in the Milky Way using KMTNet data.

Exploring how disorder affects graphene's electronic properties and quasiparticle dynamics.

Researchers reveal new details about distant planets through microlensing observations.

A new neural network model improves text recognition across different tasks and domains.

New methods for creating medical decision trees from texts enhance clinical decision-making.

Research highlights the dynamics of cold Jupiters and their influence on planetary formation.

ALoRA enhances language model tuning by dynamically allocating parameters.

Examining GRB 221009A and its implications for high-energy astrophysics.

A detailed study of microlensing effects in a binary star system.

A new method enhances the fine-tuning of large language models for better efficiency.

Research explores electronic behaviors in twisted bilayer MoTe, revealing new quantum states.

Study reveals unexpected behaviors of binary planets in dense star environments.

Research suggests pion condensation may occur in cosmic events.

TS-TCD combines time-series and text data for improved forecasting accuracy.

PEDRO improves efficiency in fine-tuning large language models with adjustable vectors.

Study reveals unusual disk behavior around stars in Bernhard-2 system.

A new method enhances how AI models learn from examples.

Neural networks unlock insights into dynamic processes through video analysis.