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Jinhua Liang

Ph.D. student, School of Electronic Engineering and Computer Science, Queen Mary University of London

Welcome to Jinhua Liang's homepage!

About me

Jinhua Liang is now pursuing his doctoral degree at Queen Mary University of London, co-supervised by Emmanouil Benetos, Huy Phan, and Mark Sandler. Before that, he received his Bachelor and Master degrees, both from Tianjin University in 2018 and 2021, respectively.

His research interests mainly focus on everyday sound perception, including sound event detection, acoustic scene classification, and audio captioning. He is also interested in model compression and accelerating.

Publications

Acoustic scene classification using deep cnn with fine-resolution feature
As feature redundancy exists inside CNNs, we designed a light convolutional structure to reduce the computational cost.
Tao Zhang, Jinhua Liang‚úČ, and Biyun Ding
Expert Systems with Applications, 2020
[link]

Channel Compression: Rethinking Information Redundancy Among Channels in CNN Architecture
As feature redundancy exists inside CNNs, we designed a light convolutional structure to reduce the computational cost.
J. Liang, T. Zhang and G. Feng
IEEE Access, 2020
[link]

Projects

Research on efficient acoustic scene recognition based on deep learning
The goal is to explore high-performance acoustic scene classification (ASC) technologies at a low computational cost.
2019-2020



Honors

Awards
Engineering and Physical Sciences Research Council (EPSRC) Studentship, 2021-Now
National Scholarship, 2020
The Fisrt Prize Academic Scholarship of Tianjin University, 2019 and 2020
The Second Prize Academic Scholarship of Tianjin University, 2018

Honors
Merit Student of Tianjin University, 2020
Top 10 Outstanding Youth in Electrical and Information Engineering School, 2020
Outstanding Student Cadres of Tianjin University, 2019

Services

Reviewer for IEEE Access