Invited Talks


  1. Kun Qian: “Computer Audition–Let the AI Hear the Beauty of the World(计算机听觉——让AI去聆听世界的美妙)”, invited by The High Schoolf Affiliated to Renmin University of China, Beijing, China, November 30th, 2022.
  2. Kun Qian: “学科交叉与融合——计算机听觉医学应用”, invited by Zhejiang University, Hangzhou, China, November 25th, 2022.
  3. Kun Qian: “How Computer Audition Contributes to Digital Health: Perspectives and Insights (计算机听觉如何贡献数字健康:数字健康的新领域)“, invited by Sichuan Normal University Alumni Association-Beijing Section, Beijing, China, October 29th, 2022.
  4. Kun Qian: “Computer Audition for Medical Applications: New Perspectives and Insights (计算机听觉医学应用:新的观点与思路 )”, invited by Dongzhimen Hospital of Beijing University of Chinese Medicine, Beijing, China, October 11th, 2022.
  5. Kun Qian: “Computer Audition for Medical Applications: A Start from Perspectives on Signal Processing (计算机听觉医学应用:从信号处理视角出发)“, invited by South China University of Technology, Guangzhou, China, October 9th, 2022.
  6. Kun Qian: “家国情怀与国际视野“, invited by the Department of International Exchange and Collaboration, Beijing Institute of Technology, Beijing, China, August 17th, 2022.
  7. Kun Qian: “AI赋能脑健康工程”, in Lecture Series for the 1st Summer Camp of Excellent Undergraduate Students for School of Medical Technology, Beijing Institute of Technology (BIT), invited by BIT, Beijing, China, July 15th, 2022.
  8. Kun Qian: “Computer Audition: A Novel Venue in Digital Health(计算机听觉:数字健康的新领域)“, in Lecture Series for the 4th Summer School of Human-Computer Interaction and Film Technology, invited by Xiamen University, Xiamen, China, July 15th, 2022.
  9. Kun Qian: “Computer Audition and AIoT: Towards Intelligent Medicine(计算机听觉和人工智能物联网:迈向智慧医学)“, invited by BIT Zhengzhou Academy of Intelligent Technology, Zhengzhou, China, May 26th, 2022.
  10. Kun Qian: “爱上脑科学——AI领域的前沿探索”, invited by Sichuan Normal University, Chengdu, China, May 20th, 2022.
  11. Kun Qian: “Could Computer Audition and AIoT Contribute to Digital Health? Perspectives and Insights(计算机听觉和人工智能物联网可以为数字医学贡献力量吗?前瞻与观点)“, invited by Shenzhen MSU-BIT University (SMBU), Shenzhen, April 2nd, 2022.
  12. Kun Qian: “Artificial Intelligence for Medicine: Insights and Perspectives from Computer Audition(人工智能医学:计算机听觉的视角与观点)“, invited by Centre for Education and Examination of the Ministry of Industry and Information Technology of the People’s Republic of China, Beijing, China, March 11th, 2022.


  1. Kun Qian: “Intelligent Medicine: A View of Computer Audition and AIoT(智慧医学:关于计算机听觉和人工智能物联网)“, invited by South China University of Technology, Guangzhou, China, December 14th, 2021.
  2. Kun Qian:“让机器可以聆听世界——计算机听觉与脑健康” in the Lecture Series of Brain Sciences, invited by XUTELI School at Beijing Institute of Technology (for the most excellent undergraduates at BIT), Beijing, China, December 8th, 2021.
  3. Kun Qian: “How Machine Intelligence Works for Healthcare: Perspectives from Computer Audition and AIoT(机器智能如何用于医疗健康:来自计算机听觉和人工智能物联网的观点)“, invited by TUM Beijing-TUM Global & Alumni Office, Beijing, China, December 5th, 2021.
  4. Kun Qian: “Could Audio be a Novel Digital Phenotype? Perspectives and Challenges(音频可以成为一种新的数字表型吗?前景与挑战)“, invited by Gesellschaft Chinesischer Informatiker in Deutschland e.V. (GCI), Magdeburg, Germany, November 20th, 2021.
  5. Kun Qian: “Aiming for a Better Life via Machine Intelligence: From Computer Audition to AIoT(通过机器智能面向更美好的生活:从计算机听觉到人工智能物联网)“, invited by Xidian University, Xi’an, China, August 26th, 2021.


  1. Kun Qian: “Human-Centered Computer Audition: Exploring the Frontiers (以人为中心的计算机听觉:探索前沿)”, invited by Shandong University, Jinan, China, October 17th, 2020.
  2. Kun Qian: “Computer Audition for Healthcare: A Time for Leveraging the Power of AI (基于机器听觉的健康医疗:一个AI赋能的时代)”, invited by Shenzhen University General Hospital, Shenzhen, China, September 10th, 2020.


  1. Kun Qian: “A.I. Betters Our Life: Applications from General Audio to Wearable Data (人工智能让我们的生活更美好:从一般音频到可穿戴设备数据的应用)“, invited by Kyushu University, Fukuoka, Japan, November 7th, 2019.
  2. Kun Qian: “A.I.4Sound: Healthcare, Ecology, and Security (人工智能用于声音:健康,生态和安全)“, invited by Xi’an Jiao Tong University, Xi’an, P. R. China, April 12th, 2019.
  3. Kun Qian: “A.I.4Healthcare: On the Way from Audio to Spontaneous Physical Activity (人工智能用于医疗健康:从音频到自发生理活动之路)“, invited by Shanghai University, Shanghai, China, April 10th, 2019.


  1. Kun Qian: “Teaching Machines on Snoring: AI-based Methods for Localisation of Snore Sound’s Excitation (教机器如何听鼾声:基于人工智能的鼾声定位方法)“, invited by Waseda University, Tokyo, Japan, December 8th, 2018.
  2. Kun Qian: “Machine Listening for Applications in Healthcare and Ecology (机器学习应用于医疗和生态)“, invited by Tsinghua University, Beijing, China, October 22nd, 2018.
  3. Kun Qian: “Recent Developments in Machine Listening for Localisation of Snoring (面向鼾声定位的机器学习工作的最新进展)”, invited by Chongqing University, Chongqing, China, October 10th, 2018.


  1. Kun Qian, Christoph Janott: “Snore Sound Classification for Diagnosis and Surgical Plan on Obstructive Sleep Apnea (面向睡眠呼吸暂停的辅助诊断与手术方案的鼾声分类)“, invited by Shanghai University, Shanghai, China, March 23rd, 2016.
  2. Kun Qian: “Bird Sound Recognition via Extreme Learning Machines (通过超限学习机器的鸟声识别)“, invited by Shanghai Jiao Tong University, Shanghai, China, March 21st, 2016.


  1. Kun Qian: “Cloud-based System for Processing Snore Related Signals (基于云计算系统的鼾声相关信号处理)“, invited by Shanghai Jiao Tong University, Shanghai, China, July 23rd, 2013.


  1. Kun Qian: “Preliminary Study About Acoustic Features of Snore Signals (鼾声信号声学特征的初步研究)“, invited by Hohai University, Nanjing, China, December 17th, 2012.