Xiang Li

A new approach combines text and image data for better analysis.

MA-SAM enhances medical image segmentation by adapting SAM to unique imaging characteristics.

How advanced language tools are transforming privacy policy analysis.

Enhancing language models' accuracy in medical inquiries through model editing techniques.

A new framework improves learning from incomplete data labels.

Exploring methods to improve robot performance in unpredictable environments.

A novel method to watermark audio created by diffusion models for ownership protection.

Examining the significance and challenges of literature reviews in Pattern Analysis and Machine Intelligence.

MediViSTA-SAM improves medical video analysis for better echocardiography segmentation.

ASCA model enhances audio classification accuracy for small datasets.

NPHardEval4V assesses reasoning capabilities of multimodal large language models.

This study reveals insights into ultrafast electronic processes using advanced techniques.

New dataset and framework improve object detection in SAR imaging.

LSKNet enhances contextual understanding in remote sensing image analysis.

Exploring how AI impacts software development and coding practices.

A novel approach utilizes language models for efficient long video analysis.

Improving user experience through tailored responses in chatbots.

A new method improves image restoration through innovative diffusion model frameworks.

An overview of chiral edges and their relevance in quantum mechanics.

An overview of key concepts in many-particle physics and their applications.

Research reveals exciting features in Ta-CsVSb kagome superconductors.

Investigating how small errors in training data enhance AI-generated content.

Examining how TCM benefits small heart blood vessels.

A new dataset to improve machine interpretation of remote sensing images.

Forward Gradient Unrolling offers efficient solutions for optimizing large machine learning models.

New framework evaluates SLAM performance under challenging conditions.

A new model enhances recommendation systems by analyzing user search intentions.

Exploring the limitations of in-context learning in language models.

This paper details the MBES's design and its role in electron spectroscopy.

A new framework aims to automate paper reviews for better quality feedback.

A novel technique reduces manual work in segmenting CryoET images.

This article examines the behavior and interactions of kinks and antikinks in physics.

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

Experience the Dragon Boat Festival through innovative virtual paddling techniques.

A new method predicts the significance of articles based on titles and abstracts.

This article explores chirality and its implications in gapped phases of matter.

Enhancing code generation by integrating programming context for better accuracy.

RPP improves fitting and generalization in Vision-Language Models using refined prompts.

A new method enhances privacy while ensuring strong model performance in Federated Learning.

A study of kink-antikink collisions and their intriguing dynamics.

Explore how tandem repeats influence genetic diseases and advancements in detection tools.

A new framework enhances task scheduling and execution in edge computing.

Small language models are changing how technology works in everyday devices.

A new method to balance general knowledge and task-specific adaptation in models.

Exploring the impact of on-body menus for enhanced VR experiences.

Tech advances in tracking multiple objects on small devices.

A new model enhances blood vessel segmentation in eye images.

FCLG helps analyze data from graphs without sharing sensitive information.

Innovative methods tackle challenges in analyzing complex graphs and node relationships.

New method detects symmetry in 3D from a single image.

Explore how POGAT enhances the analysis of complex graph structures.

Explore how immersive technologies are reshaping cultural heritage experiences.

RadCouncil streamlines radiology report writing, easing the workload for radiologists.

Learn how PAFFA improves AI assistants' efficiency and reliability on the web.

Discover how video trimming transforms viewing experiences by highlighting the best moments.

Discover how SoftVQ-VAE enhances image creation with efficiency and quality.

A tool that clarifies peer review comments for authors.

Discover how LDM transforms long-term time series predictions.