Haoyu Wang

A framework to detect log anomalies by analyzing relationships among events.

Introducing a framework that prioritizes safety in reinforcement learning.

Machine unlearning methods are vital for respecting data privacy rights.

A-Eval assesses models for segmenting abdominal organs across diverse datasets.

Explore STochastic Gradient Langevin Unlearning for data privacy in machine learning.

A new benchmark reveals gaps in visual understanding of large language models.

A brief look at MEV's impact on Ethereum and DeFi.

A study on security flaws in smart contract address verification and a proposed detection method.

A new method for detecting changes in data correlations quickly and accurately.

This study introduces a new method for positional encodings in directed graphs.

This study reveals how illegal apps are shared on Telegram.

A new symbolic execution engine enhances Wasm binary analysis for improved security.

ADC streamlines dataset creation, improving speed and accuracy in machine learning.

CION advances person re-identification by focusing on identity correlations across videos.

A new model improves music creation using melody and text descriptions.

STU-Net model shows promise in adapting CT scan knowledge to other imaging types.

Researchers develop a new method to improve text-to-image AI accuracy.

YingSound transforms video production by automating sound effects generation.