Yifan Wang

VEATIC provides a richer dataset for studying human emotions in context.

Examining how finite temperature influences quantum materials and phase transitions.

NGR offers a new approach to image restoration, improving quality and detail retention.

Introducing a new method for faster and more accurate image matching.

Explore how tensor neural networks tackle complex high-dimensional equations in various fields.

Making complex scientific studies understandable through engaging news reports.

A predictive model helps game developers forecast player spending behavior.

Research on 93 star clusters reveals patterns in star mass distribution.

Examining the role of defects and their interactions in various physical systems.

Learn how evolutive models improve rendering in computer graphics.

MotionLLM creates human movements from text for single and multi-person scenarios.

Exploring the connections between gravitational theories and conformal field theories.

PGSR enhances 3D modeling accuracy and speed for various applications.

New methods improve efficiency in solving eigenvalue problems across scientific fields.

DFXM offers direct measurement of dislocations, potentially improving material performance.

A fresh approach to understanding how small defects impact material properties.

A fresh approach reveals how brain networks respond during tasks.

A new method enhances efficiency and quality in language model text generation.

A new method helps GNNs learn from unfamiliar data effectively.

New DFXM model reveals dislocation structures and their impact on material behavior.

GigaGS tackles challenges in large 3D scene modeling with innovative techniques.

Study of machine-learning models predicting properties in solid materials, focusing on defects.

CFVNet improves finger vein recognition accuracy and security through innovative techniques.

Explore the painting process with innovative time-lapse technology.

Explore how jogs in dislocations influence material behavior under stress.

Discover how neural networks are transforming the approach to solving partial differential equations.

Discover the intriguing world of higher-order topological knots and their impact on materials.

Revolutionizing communication clarity in noisy environments with advanced channel estimation.