Lina Yao

SEMA offers a flexible approach for continual learning, adapting models to new data effectively.

CLAP enhances machine learning by improving retention of previous knowledge.

StyleSpeech advances TTS systems by capturing natural speech nuances.

Brain-Net-Diffusion improves fMRI data analysis for Autism Spectrum Disorder.

CIDER improves recommendations by connecting preferences across different areas like books and movies.

Utilizing multiple LLMs to clarify cause-and-effect relationships in various fields.

Revolutionizing text-to-speech with improved efficiency and natural-sounding voices.

Discover how TTS systems are evolving to sound more human-like.