Kai Li

According to our database, Kai Li authored at least 15 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Enhancing Spectrogram Realism in Singing Voice Synthesis via Explicit Bandwidth Extension Prior to Vocoder.

Runxuan Yang, Kai Li, Guo Chen, Xiaolin Hu

CoRR, August, 2025

Mastering Visual Reinforcement Learning via Positive Unlabeled Policy-Guided Contrast.

Zehua Zang, Qirui Ji, Rui Wang, Kai Li, Lixiang Liu, Fuchun Sun

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

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

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

IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

TDFNet: An Efficient Audio-Visual Speech Separation Model with Top-down Fusion.

Samuel Pegg, Kai Li, Xiaolin Hu

CoRR, 2024

CMIX: Causal Value Decomposition for Cooperative Multi-Agent Reinforcement Learning.

Dunqi Yao, Chuxiong Sun, Kai Li, Kaijie Zhou, Hanyu Li, Rui Wang, Lixiang Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

IIANet: An Intra- and Inter-Modality Attention Network for Audio-Visual Speech Separation.

Kai Li, Runxuan Yang, Fuchun Sun, Xiaolin Hu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation.

Samuel Pegg, Kai Li, Xiaolin Hu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SafeEar: Content Privacy-Preserving Audio Deepfake Detection.

Xinfeng Li, Kai Li, Yifan Zheng, Chen Yan, Xiaoyu Ji, Wenyuan Xu

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

SCANet: A Self- and Cross-Attention Network for Audio-Visual Speech Separation.

Kai Li, Runxuan Yang, Xiaolin Hu

CoRR, 2023

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

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

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

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

Kai Li, Runxuan Yang, Xiaolin Hu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Inferring Mechanisms of Auditory Attentional Modulation with Deep Neural Networks.

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

Neural Comput., 2022

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

Kai Li, Xiaolin Hu, Yi Luo

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network.

Xiaolin Hu, Kai Li, Weiyi Zhang, Yi Luo, Jean-Marie Lemercier, Timo Gerkmann

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2018

Multi-USVs Coordinated Detection in Marine Environment with Deep Reinforcement Learning.

Ruiying Li, Rui Wang, Xiaohui Hu, Kai Li, Haichang Li

Proceedings of the Benchmarking, Measuring, and Optimizing, 2018