Mind the Domain Gap: a Systematic Analysis on Bioacoustic Sound Event Detection
This paper gets accepted by EUSIPCO 2025.
Jinhua Liang
Hello, welcome to my homepage. I am Jinhua Liang, a final-year PhD researcher at Queen Mary University of London. I am fortunate to be co-advised by Emmanouil Benetos, Huy Phan, and Mark Sandler.
My research expertise lies in the fields of Multimodal Learning for Audio Perception, Generative AI for Audio Content Creation and Editing, (Low-Shot) Acoustic Pattern Recognition, Auditory Scene Analysis, Model Compression and Acceleration, and Audio Emotion Analysis. Specifically, I have hands-on research experience on developing large language models (LLMs) as a universal system for audio understanding or generation.
Recent Posts
WavCraft: Audio Editing and Generation with Large Language Models
This paper gets accepted by ICLR workshop on LLM agent.
Acoustic Prompt Tuning: Empowering Large Language Models with Audition Capabilities
This paper is under peer review.
Adapting Language-Audio Models as Few-Shot Audio Learners
This paper gets accepted by INTERSPEECH 2023.
Learning from Taxonomy: Multi-label Few-shot Classification for Everyday Sound Recognition
This paper is accepted by ICASSP2024.