Xinyu Zhang

DEFormer improves image quality in low-light conditions using frequency data.

Improving task scheduling strategies for mobile applications using deep reinforcement learning.

Exploring the role of machine learning in thyroid cancer detection and treatment.

LiDAR-PTQ enhances 3D object detection for self-driving cars and robotics.

A new LMS aims to improve student performance using data analysis.

This paper examines new strategies for enhancing document retrieval through token pruning.

Robots learn tasks quickly from single human demonstrations using new techniques.

A new method for assessing text-to-video models focuses on dynamics.

A new method improves data modeling in areas with limited information.

A new method improves recommendations by addressing user interests and noise.

Add-SD simplifies image editing by allowing realistic object additions through text prompts.

Examining vulnerabilities in code completion tools and their impact on user privacy.

Research reveals insights into pilots' cognitive functions during flight tasks.

EvoChart aims to improve chart understanding for machine learning models.

VProChart enhances understanding and reasoning in interpreting charts.

A look at how Bi-Tuning improves recommendation systems through collaborative information.

A new method improves parameter estimation for optical communication systems.

This study reveals the benefits of grouping similar words for language understanding.

This dataset enhances question generation from educational diagrams for better student learning.

Discover how LLMs enhance Aspect-Based Sentiment Analysis for better insights.

A new system ensures consistent multi-view videos for better self-driving car training.

A new method simplifies RF mapping with fewer samples and real-time adaptability.