Qin Gong

Qin Gong, PhD

Associate Professor, Tsinghua University

Office: Medical Sciences Building, Rooms C212 & C217


PhD, Biomedical Engineering, Tsinghua University (2001)
MA, Electrical Engineering, Beijing University of Aeronautics and Astronautics (1994)
BA, Precision Instruments Engineering, Tsinghua University (1991)

Research Interests

My lab is interested in the auditory system, focusing on detection and analysis of the auditory system, rehabilitation engineering and auditory neuroscience. Using modern signal processing methods, we detect signals from auditory peripheral, auditory nerve, and auditory central, to investigate the mechanisms and circuits underlying the auditory pathway, and attempt to develop objective methods with pinpoint accuracy to auditory diseases.

  • We systematically investigated hearing sensitivity and frequency selectivity by exploring the characteristic of the OAE and suppression tuning curves, designed original instrument and won Silver Medal in 45th International Exhibition of Inventions of Geneva, 2017 and Gold Medal in 2017 China invention innovation competition.
  • In addition, we also developed the debugging platforms, speech encoding strategies suitable for Mandarin tones, and improved front-end speech enhancement algorithms for cochlear implant (CI) to improve CI user’s speech discrimination rates. We designed novel instrument and won Gold Medal in 2017 Beijing invention innovation competition and Silver Medal in 2017 China invention innovation competition.
  • Recently, based on frequency-following response (FFR), mismatch negativity (MMN), middle latency potential (MLP), auditory steady state (ASSR), and functional magnetic resonance imaging (fMRI), we are studying the processing mechanism of auditory central on different stimuli and background noise, and exploring to establish the objective evaluation approach on speech discrimination rates for CI user.


Xiaochen Zhang , Xiaolin Li, Jingjing Chen, Qin Gong*(Corresponding). Background suppression and its relation to foreground processing of speech versus non-speech streams. Neuroscience,2018:373 (2018) 60–71.

Xiaochen Zhang and Qin Gong*(Corresponding). Correlation between the frequency difference limen and an index based on principal component analysis of the frequency-following response of normal hearing listeners. Hearing research. 2017, 344: 255-264.

Yousheng C, Qin Gong*(Corresponding). A normalized beamforming algorithm for broadband speech using a continuous interleaved sampling strategy. IEEE Trans Audio Speech Language Process, 2012, 20(3): 868-874.

Qin Gong*(Corresponding), Xu Q, Sun W. Design and implementation of frequency-following response recording system[J]. International journal of audiology, 2013, 52(12): 824-831.

Dongjia Xing and Qin Gong*(Corresponding). A fast algorithm for the measurement of stimulus frequency otoacoustic emission suppression tuning curves. Applied acoustics. 2018, 129:173-190.