🎊 Welcome to my website!

My name is Kai Li (Chinese name: 李凯). I’m a second-year master student at Department of Computer Science and Technology, Tsinghua University, supervised by Prof. Xiaolin Hu (胡晓林). I am also a member of TSAIL Group directed by Prof. Bo Zhang (张拨) and Prof. Jun zhu (朱军).

I am an intern at Tencent AI Lab , mainly doing research on causal speech separation, supervised by Yi Luo (罗艺) and Rongzhi Gu (顾容之).

I got my bachelor’s degree from Department of Computer Technology and Application, Qinghai University, supervised by Prof. Jianqiang Huang (黄建强) and Prof. Chunmei Li (李春梅)

🤗 These works are open source to the best of my ability.

🤗 I am currently doing research on multimodal speech separation, and am interested in other speech tasks (e.g., pre-training models and neuralscience). If you would like to collaborate, please contact me. Many thanks.

🔥 News

2023.07: 🎲 One paper is accepted by ECAI 2023.
2023.05: 🧩 Two papers are accepted by Interspeech 2023.
2023.05: 🎉 We won the first prize 🥇 of the Cinematic Sound Demixing Track 23 in the Leaderboard A and B.
2023.05: 🎉 We won the first prize 🥇 of the ASC23 and Best Application Award.
2023.04: 🎲 One paper is appeared by Arxiv.
2023.02: 🧩 One paper is accepted by ICASSP 2023.
2023.01: 🧩 One paper is accepted by ICLR 2023.

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2022.06: 🧩 One paper is accepted by Neural Computation.
2022.06: 🎉 One paper is accepted by InterSpeech 2022.
2022.06: 🎲 One paper is appeared by Arxiv.
2022.05: 🧩 One paper to submit in Nature Machine Intelligence.
2022.03: 🎉 We won the first prize 🥇 of the Global College Student Supercomputer Challenge (ASC22)
2022.03: 🧩 One paper to submit in IEEE Transactions on Industrial Informatics.
2022.03: 🧩🧩 Two paper to submit in Interspeech 2022.
2021.10: 🎉 paper is accepted by NeurIPS 2021:
- Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network, Xiaolin Hu$^*$, Kai Li$^*$, Weiyi Zhang, Yi Luo, Jean-Marie Lemercier, Timo Gerkmann.
2021.05: 🎉 We won the 5% of the [Global College Student Supercomputer Challenge (ASC20-21)](http://www.asc-events.net/ASC20-21/Finals.php)
2021.01: 🎉 We won the first prize 🥇 of the [Global College Student Supercomputer Challenge (ASC20-21)](http://www.asc-events.net/ASC20-21/Finals.php)
2020.06: 🎉 Outstanding Bachelor Thesis Award, Qinghai University of Computer Science and Technology !
2020.06: 🎉 Outstanding Graduates, Qinghai University of Computer Science and Technology !
2020.04: 🧩 One paper is accepted by IET image processing:
- A Survey of Single Image Super Resolution Reconstruction, Kai Li, Shenghao Yang, Runting Dong, Jianqiang Huang, Xiaoying Wang.
2020.01: 🏢 I am an algorithm intern at Moyin Technology for speech dirazation and voiceprint recognition.
2019.11: 🧩 One paper is accepted by ISPA2019:
- Single Image Super-resolution Reconstruction of Enhanced Loss Function with Multi-GPU Training, Jianqiang Huang$^*$, Kai Li$^*$, Xiaoying Wang.
2019.11: 🎉 We won the first prize 🥇 of the first "Ganqingning" Innovation and Entrepreneurship Competition !
2019.11: 🎉 I won the National Scholarship, Ministry of Education, China !
2019.05: 🎉 We won the second prize 🥈 in the Natural Academic Paper category of the National College Student Challenge Cup Qinghai Provincial Trial !
2019.05: 🎉 We won the first prize 🥇 in the Qinghai Division of the 6th National Youth Science Innovation Experiment and Work Competition !
2019.05: 🎉 One paper is accepted by ICDIP2019:
- Single image super resolution based on generative adversarial networks, Kai Li, Liang Ye, Shenghao Yang, Jianqiang Huang, Xiaoying Wang.
2019.04: 🧩 I won the second prize 🥈 at the provincial level in the Blue Bridge Cup Java Group A!
2018.12: 🎉 We won the first prize 🥇 of natural academic paper in the first "Principals Cup" Innovation and Entrepreneurship Competition in Qinghai Province !

📝 Publications

( ^* equal contribution, ^# corresponding author)

🧠 Neuroscience

Neural Computation 2022

Inferring mechanisms of auditory attentional modulation with deep neural networks

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

🎙 Speech Separation

Interspeech 2023

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

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

Interspeech 2023

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.

Arxiv 2022

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

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

Demo Page |

ICLR 2023

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

Kai Li, Runxuan Yang, Xiaolin Hu.

| Audio Demo Page |

InterSpeech 2022

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

Kai Li, Xiaolin Hu, Yi Luo.

ICASSP 2023

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

Kai Li, Yi Luo.

NeurIPS 2021

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 |

Bachelor Degree Thesis

Research on Speech Separation Based on Audio Visual Model

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

Audio Project Page | Audio-visual Project Page

🌏 Cloud Removal

ECAI 2023

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.

📷 Image Super Resolution

Submitted IEEE Transactions on Industrial Informatics

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.

IET Image Processing 2020

A Survey of Single Image Super Resolution Reconstruction

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

ISPA 2019

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

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

ICDIP 2019

Single image super resolution based on generative adversarial networks

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

🎖 Honors and Awards

2020.06 Outstanding Bachelor Thesis Award (Top 1%)
2020.06 Outstanding Graduates (Top 1%)
2019.11 National Scholarship (Top 1%)

📖 Educations

2021.09 - now, Master, Tsinghua University, Beijing.
2016.09 - 2020.06, Undergraduate, Department of Computer Technology and Application, Qinghai Univeristy, Xining.
2013.09 - 2016.06, Zhengzhou fourth Middle School, Zhengzhou.

💻 Internships

2022.10 - now, Tencent AI Lab, Beijing.
2021.07 - 2022.01, Tencent AI Lab, Beijing.
2020.09 - 2021.01, Moyincloud, Beijing.

🏁 Services

Conference Reviewer: ICASSP 2023, NeuralPS 2023, ECAI 2023

🧑‍🏫 Teaching

2022 Fall, Head TA in Introduction to Deep Learning (00240332), instructed by Prof. Xiaolin Hu

Kai Li (李凯)