2022

  1. Kun Qian*#, Tomoya Koike#, Toru Nakamura, Björn W. Schuller, and Yoshiharu Yamamoto, “Learning Multimodal Representations for Drowsiness Detection”, IEEE Transactions on Intelligent Transportation Systems (IF-2022: 8.5), vol.23, no.8, pp.11539-11548, 2022.
  2. Björn W. Schuller*, Johanna Löchner*, Kun Qian*, and Bin Hu*, “Digital Mental Health—Breaking a Lance for Prevention”, IEEE Transactions on Computational Social Systems (IF-2022: 5.0), vol.9, no. 6,pp. 1584-1588, 2022.
  3. Bin Hu*, Kun Qian*, Qunxi Dong*, Yuejia Luo*, Yoshiharu Yamamoto*, and Björn W. Schuller*, “Psychological Field Versus Physiological Field: From Qualitative Analysis to Quantitative Modeling of the Mental Status”, IEEE Transactions on Computational Social Systems (IF-2022: 5.0), vol.9, no.5, pp.1275-1281, 2022.
  4. Shuo Liu*, Adria Mallol-Ragolta, Tianhao Yan, Kun Qian*, Emilia Parada-Cabaleiro, Bin Hu*, and Björn W. Schuller, “Capturing Time Dynamics from Speech using Neural Networks for Surgical Masks Detection”, IEEE Journal of Biomedical and Health Informatics (IF-2022: 7.7), vol.26, no.8, pp.4291-4302, 2022.
  5. Shuo Liu*, Adria Mallol-Ragolta, Emilia Parada-Cabeleiro, Kun Qian, Xin Jing, Alexander Kathan, Bin Hu, Björn W. Schuller, “Audio Self-supervised Learning: A Survey”, Patterns (IF-2022: 6.5), vol.3, issue.12, pp.1-28, 2022.
  6. Bin Hu*, Kun Qian, Ye Zhang, Jian Shen, and Björn W. Schuller,“The Inverse Problems for Computational Psychophysiology: Opinions and Insights”, Cyborg and Bionic Systems, vol.2022, no.9850248, pp.1-3, 2022.
  7. Björn W. Schuller*, Johanna Löchner*, Kun Qian*, and Bin Hu*, “COVID-19’s Impact on Mental Health — The Hour of Computational Aid?”, IEEE Transactions on Computational Social Systems (IF-2022: 5.0), vol.9, no.4, pp.967-973, 2022.
  8. Zhao Ren*, Kun Qian*, Fengquan Dong, Zhenyu Dai, Wolfgang Nejdl, Yoshiharu Yamamoto, and Björn W. Schuller, “Deep Attention-based Neural Networks for Explainable Heart Sound Classification”, Machine Learning with Applications, vol.9, no.100322, pp.1-9, 2022.
  9. Shiliang Zhao*, Jianxin Liu, Yang Tan, and Kun Qian*, “Application of Transient Slope of Zero and Pole in Bode Diagram in Automatic Identification of Filter Parameters”, Journal of Control, Automation and Electrical Systems, pp.1-11, 2022.
  10. Liang Zhang#*, Johann Li#, Ping Li, Xiaoyuan Lu, Maoguo Gong, Peiyi Shen, Guangming Zhu, Syed Afaq Shah, Mohammed Bennarmoun, Kun Qian, and Björn W. Schuller, “MEDAS: An Open-source Platform as an Service to Help Break the Walls between Medicine and Informatics”, Neural Computing and Applications (IF-2022: 6.0), vol.34, pp.6547–6567, 2022.
  11. Bin Hu*, Jian Shen*, Lixian Zhu*, Qunxi Dong*, Hanshu Cai*, and Kun Qian*, “Fundamentals of Computational Psychophysiology: Theory and Methodology”, IEEE Transactions on Computational Social Systems (IF-2022: 5.0), vol.9, no.2, pp.349-355, 2022.