2021

  1. Kun Qian*, Zixing Zhang, Yoshiharu Yamamoto, and Björn W. Schuller, “Artificial Intelligence Internet of Things for the Elderly: From Assisted Living to Health-Care Monitoring”, IEEE Signal Processing Magazine (IF-2022: 14.9), vol.38, no.4, pp.78-88, 2021.
  2. Kun Qian*, Tomoya Koike, Kazuhiro Yoshiuchi, Björn W. Schuller, and Yoshiharu Yamamoto, “Can Appliances Understand the Behaviour of Elderly via Machine Learning? A Feasibility Study”, IEEE Internet of Things Journal (IF-2022: 10.6), vol.8, no.10, pp.8343-8355, 2021.
  3. Kun Qian*#, Maximilian Schmitt#, Huaiyuan Zheng*#, Tomoya Koike#, Jing Han, Juan Liu*, Wei Ji*, Junjun Duan, Meishu Song, Zijiang Yang, Zhao Ren, Shuo Liu, Zixing Zhang, Yoshiharu Yamamoto, and Björn W. Schuller, “Computer Audition for Fighting the SARS-CoV-2 Corona Crisis — Introducing the Multi-task Speech Corpus for COVID-19”, IEEE Internet of Things Journal (IF-2022: 10.6), vol.8, no.21, pp.16035-16046, 2021.
  4. 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-2022: 7.7), vol.25, no.4, pp.1233-1246, 2021.
  5. Kun Qian*, Liang Zhang, Kezhi Li, and Juan Liu, “Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics”, Frontiers in Digital Health, vol.3, pp.1-3, 2021.
  6. 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-2022: 5.6), vol.18, no.3, pp.1144-1156, 2021.
  7. Liang Zhang*#, Kun Qian#, Jun Huang, Mao Liu, and Yasushi Shibuta, “Molecular Dynamics Simulation and Machine Learning of Mechanical Response in Non-equiatomic FeCrNiCoMn High Entropy Alloy”, Journal of Materials Research and Technology (IF-2022: 6.4), vol.13, pp.2043-2054, 2021.
  8. Liang Zhang*#, Kun Qian#, Björn W. Schuller, and Yasushi Shibuta, “Prediction of Mechanical Properties of Non-equiatomic High-entropy Alloy by Atomistic Simulation and Machine Learning”, Metals (IF-2022: 2.9), vol.11, no.6, pp.1-16, 2021.
  9. Zixing Zhang, Ding Liu, Jing Han, Kun Qian*, and Björn W. Schuller, “Learning Audio Sequence Representations for Acoustic Event Classification”, Expert Systems with Applications (IF-2022: 8.5), vol.178, no.115007, pp.1-11, 2021.
  10. Jun Huang*, Linchuan Xu, Kun Qian, Jing Wang, and Kenji Yamanishi, “Multi-Label Learning with Missing and Completely Unobserved Labels”, Data Mining and Knowledge Discovery (IF-2022: 4.8), vol.35, pp.1061-1086, 2021.
  11. Björn W. Schuller*, Dagmar M. Schuller, Kun Qian, Juan Liu, Huaiyuan Zheng, and Xiao Li, “COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis”, Frontiers in Digital Health, vol.3, pp.1-10, 2021.