📝 Publications

Inferring mechanisms of auditory attentional modulation with deep neural networks

Ting-Yu Kuo, Yuanda Liao, Kai Li, Bo Hong, Xiaolin Hu.

Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model

Héctor Martel, Julius Richter, Kai Li, Xiaolin Hu and Timo Gerkmann.

A Neural State-Space Model Approach to Efficient Speech Separation

Chenchen, Chao-Han Huck Yang, Kai Li, Yuchen Hu, Pin-Jui Ku and Eng Siong Chng.

An Audio-Visual Speech Separation Model Inspired by Cortico-Thalamo-Cortical Circuits

Kai Li, Fenghua Xie, Hang Chen, Kexin Yuan, Xiaolin Hu.

Demo Page |

An efficient encoder-decoder architecture with top-down attention for speech separation

Kai Li, Runxuan Yang, Xiaolin Hu.

| Audio Demo Page |

On the Use of Deep Mask Estimation Module for Neural Source Separation Systems

Kai Li, Xiaolin Hu, Yi Luo.

On the Design and Training Strategies for RNN-based Online Neural Speech Separation Systems

Kai Li, Yi Luo.

Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network

Xiaolin Hu^{*, #}, Kai Li$^*$, Weiyi Zhang, Yi Luo, Jean-Marie Lemercier, Timo Gerkmann.

| Audio Demo Page | Speech Enhancement Demo |

Research on Speech Separation Based on Audio Visual Model

Kai Li, Xiaolin Hu^#, Jianqiang Huang^#.

Audio Project Page | Audio-visual Project Page

PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-Performance Cloud Removal from Multi-temporal Satellite Imagery

Xuechao Zou^*, Kai Li^*, Junliang Xing, Pin Tao^#, Yachao Cui.

Single Image Super-Resolution through Image Pixel Information Clustering and Generative Adversarial Network

Kai Li, Jianqiang Huang^#, Jinfang Jia, Yu Zhu, Li Wu, Xiaoying Wang.

A Survey of Single Image Super Resolution Reconstruction

Kai Li, Shenghao Yang, Runting Dong, Jianqiang Huang^#, Xiaoying Wang.

Single Image Super-resolution Reconstruction of Enhanced Loss Function with Multi-GPU Training

Jianqiang Huang^{*, #}, Kai Li$^*$, Xiaoying Wang.

Single image super resolution based on generative adversarial networks

Kai Li, Liang Ye, Shenghao Yang, Jianqiang Huang^#, Xiaoying Wang.