WELCOME TO BAC

Brain-inspired Auditory Computation

Welcome to the BHE-AIM-BAC website!

Affiliated with the Key Laboratory of Brain Health Intelligent Evaluation and Intervention (Ministry of Education) , our lab operates at the cutting-edge intersection of medicine and engineering.

We are dedicated to advancing brain health research through the lens of brain-inspired auditory computation. We invite visitors from all disciplines to explore our research achievements and meet our team.

We look forward to collaborating with you to push the boundaries of neural science and intelligent technology.

research

News

Stay updated with our latest research breakthroughs and lab events.

15 2026.Jan

🎉Congratulations to Yang Tan and Haojie Zhang on their latest research publication in EAAI!🎉

28 2025.Nov

🎉Congratulations to Zhihua Wang and Haojie Zhang on their latest research publication in IEEE JBHI!🎉

1 2025.Sep

🎊Congratulations on the team establishment of the BAC! 🎊

Research

Grounded in interdisciplinary research, we conduct frontier exploration in the following core areas.

bac

Brain-inspired Computer Audition

Developing biomimetic auditory models for robust speech processing in healthcare and emotion recognition.

snn

Spiking Neural Networks

We leverage these advanced SNNs architectures to achieve ultra-low-power processing for long-term brain health monitoring and robust auditory perception.


Publications

BBANet: Bilateral biological auditory-inspired neural network for heart sound classification

Yang Tan, Haojie Zhang, Jingwen Xu, Hanhan Wu, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller.
Engineering Applications of Artificial Intelligence, 2026.

PDF
Can Information Representations Inspired by the Human Auditory Perception Benefit Computer Audition-based Disease Detection? An Interpretable Comparative Study

Zhihua Wang, Haojie Zhang, Yang Tan, Rui Wang, Kun Qian, Bin Hu, Yoshiharu Yamamoto, and Björn W. Schuller.
IEEE Journal of Biomedical and Health Informatics, 2025.

PDF

Team

A dynamic team of passionate and dedicated researchers.

PI

Kun Qian

Kun Qian

Professor

Prof. Qian, a TUM alumnus and Teli Young Fellow Professor at BIT, is a distinguished IEEE Senior Member and Associate Editor of IEEE TAC who has been recognized as a Forbes China 100 Overseas Returnee and an MIT Technology Review Intelligent Computing Innovator.

qian@bit.edu.cn

Contact us / Join us

We are always looking for passionate students and researchers to join us. Please feel free to reach out to us using the contact information below.

Address

Floor 4, New Canteen (新食堂), Beijing Institute of Technology, Beijing, China.

Room TC211, Tianyou (天佑) Building, Beijing Institute of Technology, Zhuhai, China.

E-mail

wangrui59@bit.edu.cn, qian@bit.edu.cn