Journal Articles

2020

  1. Kun Qian, Christoph Janott, Maximilian Schmitt, Zixing Zhang, Clemens Heiser, Werner Hemmert, Yoshiharu Yamamoto, and Björn W. Schuller, “Can Machine Learning Assist Locating the Excitation of Snore Sound? A Review”, IEEE Journal of Biomedical and Health Informatics (IF-2019: 5.223), pp. 1-14, accepted, in press, 2020.
  2. Fengquan Dong, Kun Qian*, Zhao Ren, Alice Baird, Xinjian Li, Zhenyu Dai, Bo Dong, Florian Metze, Yoshiharu Yamamoto, and Björn W. Schuller, “Machine Listening for Heart Status Monitoring: Introducing and Benchmarking HSS–the Heart Sounds Shenzhen Corpus”, IEEE Journal of Biomedical and Health Informatics (IF-2019: 5.223), vol. 24, no. 7, pp. 2082-2092, 2020. (Co-First Author, Corresponding Author)
  3. Kun Qian, Xiao Li, Haifeng Li, Shengchen Li, Wei Li, Zuoliang Ning, Shuai Yu, Limin Hou, Gang Tang, Jing Lu, Feng Li, Shufei Duan, Chengcheng Du, Yao Cheng, Yujun Wang, Lin Gan, Yoshiharu Yamamoto, and Björn W. Schuller, “Computer Audition for Healthcare: Opportunities and Challenges”, Frontiers in Digital Health, vol. 2, no. 5, pp.1-4, 2020.
  4. Zengjie Zhang, Kun Qian*, Björn W. Schuller, and Dirk Wollherr, “An Online Robot Collision Detection and Identification Scheme by Supervised Learning and Bayesian Decision Theory”, IEEE Transactions on Automation Science and Engineering (IF-2019: 4.938), pp. 1-13, accepted, to apears, 2020. (Corresponding Author)
  5. Kun Qian, Fengquan Dong, Zhao Ren, Zhenyu Dai, Bo Dong, and Björn W. Schuller, “Opportunities and Challenges for Heart Sound Recognition: A Brief on the Heart Sounds Shenzhen Corpus” (in Chinese), Journal of Fudan University (Natural Science), vol. 59. no. 3, pp. 354-359.
  6. Yu Qiao, Kun Qian, and Ziping Zhao, “Bird Sound Recognition based on Machine Listening: A Survey on Chinese Literature” (in Chinese), Journal of Fudan University (Natural Science), vol. 59. no. 3, pp. 375-380.
  7. Zixing Zhang, Jing Han, Kun Qian, Christoph Janott, Yanan Guo, and Björn W. Schuller, “Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data”, IEEE Journal of Biomedical and Health Informatics (IF-2019: 5.223), vol. 24, no. 1, pp. 300-310, 2020.
  8. Maria Littmann, Katharina Selig, Liel Cohen-Lavi, Yotam Frank, Peter Hönigschmid, Evans Kataka, Anja Mösch, Kun Qian, Avihai Ron, Sebastian Schmid, Adam Sorbie, Liran Szlak, Ayana Dagan-Wiener, Nir Ben-Tal, Masha Y. Niv, Daniel Razansky, Björn W. Schuller, Donna Ankerst, Tomer Hertz, and Burkhard Rost, “Validity of Machine Learning in Biology and Medicine Increased Through Collaborations Across Fields of Expertise”, Nature Machine Intelligence, vol. 2, January, pp.18-24, 2020.

2019

  1. Kun Qian, Maximilian Schmitt, Christoph Janott, Zixing Zhang, Clemens Heiser, Winfried Hohenhorst, Michael Herzog, Werner Hemmert, and Björn W. Schuller, “A Bag of Wavelet Features for Snore Sound Classification”, Annals of Biomedical Engineering (IF-2019: 3.324), vol. 47, no. 4, pp. 1000-1011, 2019.

2018

  1. Kun Qian, Christoph Janott, Zixing Zhang, Jun Deng, Clemens Heiser, Winfried Hohenhorst, Michael Herzog, Werner Hemmert, and Björn W. Schuller, “Teaching Machines on Snoring: A Benchmark on Computer Audition for Snore Sound Excitation Localisation”, Archives of Acoustics (IF-2019: 0.618), vol. 43, no. 3, pp. 465-475, 2018.
  2. Zhao Ren, Kun Qian, Zixing Zhang, Vedhas Pandit, Alice Baird, and Björn W. Schuller, “Deep Scalogram Representations for Acoustic Scene Classification”, IEEE/CAA Journal of Automatica Sinica (IF-2019: 5.129), vol. 5, no. 3, pp. 662-669, 2018.
  3. Christoph Janott, Maximilian Schmitt, Yue Zhang, Kun Qian, Vedhas Pandit, Zixing Zhang, Clemens Heiser, Winfried Hohenhorst, Michael Herzog, Werner Hemmert, and Björn W. Schuller, “Snoring Classified: The Munich Passau Snore Sound Corpus”, Computers in Biology and Medicine (IF-2019: 3.343), vol. 94, pp. 106-118, 2018.

2017

  1. Kun Qian, Zixing Zhang, Alice Baird, and Björn W. Schuller, “Active Learning for Bird Sound Classification via a Kernel-based Extreme Learning Machine”, The Journal of the Acoustical Society of America (IF-2019: 1.780), vol. 142, no. 4, pp. 1796-1804, 2017.
  2. Kun Qian, Christoph Janott, Vedhas Pandit, Zixing Zhang, Clemens Heiser, Winfried Hohenhorst, Michael Herzog, Werner Hemmert, and Björn W. Schuller, “Classification of the Excitation Location of Snore Sounds in the Upper Airway by Acoustic Multi-Feature Analysis”, IEEE Transactions on Biomedical Engineering (IF-2019: 4.424), vol. 64, no. 8, pp. 1731-1741, 2017.
  3. Kun Qian, Jian Guo, Ken Ishida, and Satoshi Matsuoka, “Fast Recognition of Bird Sounds Using Extreme Learning Machines”, IEEJ Transactions on Electrical and Electronic Engineering (IF-2019: 0.668), vol. 12, no. 2, pp. 294-296, 2017.
  4. Kun Qian, Zixing Zhang, Alice Baird, and Björn W. Schuller, “Active Learning for Bird Sounds Classification”, Acta Acustica united with Acustica (IF-2019: 0.959), vol. 103, no. 3, pp. 361-364, 2017.
  5. Jian Guo, Kun Qian, Gongxuan Zhang, Huijie Xu, and Björn W. Schuller, “Accelerating Biomedical Signal Processing Using GPU: A Case Study of Snore Sounds Feature Extraction”, Interdisciplinary Sciences: Computational Life Sciences (IF-2019: 1.512), vol. 9, no. 4, pp. 550-555, 2017.

2015

  1. Kun Qian, Zhiyong Xu, Huijie Xu, Yaqi Wu, and Zhao Zhao, “Automatic Detection, Segmentation and Classification of Snore Related Signals from Overnight Audio Recording”, IET Signal Processing (IF-2019: 1.692), vol. 9, no. 1, pp. 21-29, 2015.

2014

  1. Kun Qian, Jian Guo, Huijie Xu, Zhaomeng Zhu, and Gongxuan Zhang, “Snore Related Signals Processing in a Private Cloud Computing System”, Interdisciplinary Sciences: Computational Life Sciences (IF-2019: 1.512), vol. 6, no. 3, pp. 216-221, 2014.
  2. Yuzhuo Fang, Zhiyong Xu, Guang Cheng, and Kun Qian, “Direction Estimation of Microphone Array Direct Wave based on Adaptive Blind Identication” (in Chinese), Journal of Nanjing University of Science and Technology, vol. 38, no. 2, pp. 264-270, 2014.

2013

  1. Kun Qian, Yuzhuo Fang, Zhiyong Xu, and Huijie Xu, “Comparison of Two Acoustic Features for Classification of Different Snore Signals”, Chinese Journal of Electron Devices, vol. 36, no. 4, pp. 455-459, 2013.