Jun Zhou

Introducing HSIMamba, a method for improved hyperspectral image classification with efficiency.

Introducing HeMeNet for efficient protein multi-task learning using 3D structures.

This method improves hyperspectral band selection by using LiDAR data for analysis.

A method combining hyperspectral and LiDAR data enhances land cover classification accuracy.

New datasets aim to enhance AI understanding of human preferences.

TimeMixer combines detailed and broad data patterns for better forecasting accuracy.

A new model enhances event reference recognition across multiple documents.

A new method for better understanding events by using multiple documents.

Insights into user behavior via innovative data modeling techniques.

A new model improves sentiment extraction from reviews, tackling category overlaps.

Discover strategies to enhance few-shot learning in large vision language models.

SATA improves the robustness and efficiency of Vision Transformers for image classification tasks.

A new method improves gene editing accuracy and effectiveness.

Research reveals new materials with unique heat management properties.

Advancements in machine learning enhance understanding of superionic conductors.

A new model improves hyperspectral image analysis while reducing computational costs.

Combining HSI and LiDAR data for efficient analysis.

A new method improves image classification while reducing model size.