2022

  1. Zhonghao Zhao, Yang Tan, Mengkai Sun, Yi Chang, Kun Qian*, Bin Hu*, Björn W. Schuller, and Yoshiharu Yamamoto,“A Multi-feature Sets Fusion Strategy with Similar Samples Removal for Snore Sound Classification”, in Proceedings of NCMMSC, pp.30-43, Hefei, China, December 2022.
  2. Lixian Zhu, Chang Yan, Xiaokun Jin, Fuze Tian, Yanan Zhao, Yu Ma, Yeqi Jia, Qunxi Dong, Peijing Rong, Kun Qian*, and Bin Hu*, “When Traditional Chinese Medicine Meets AI: A Novel Depression Treatment Paradigm based on Transcutaneous Vagus Nerve Stimulation”, in Proceedings of ACIIW, accepted, pp.1-3, Nara, Japan, October 2022.
  3. Wanyong Qiu, Kun Qian*, Zhihua Wang, Yi Chang, Zhihao Bao, Bin Hu*, Björn W. Schuller, and Yoshiharu Yamamoto, “A Federated Learning Paradigm for Heart Sound Classification”, in Proceedings of EMBC, pp.1045-1048, Glasgow, Scotland, UK, July 2022.
  4. Lixian Zhu, Kun Qian*, Zhihua Wang, Bin Hu*, Yoshiharu Yamamoto, and Björn W. Schuller, “Heart Sound Classification based on Residual Shrinkage Networks”, in Proceedings of EMBC, pp.4469-4472, Glasgow, Scotland, UK, July 2022.
  5. Kun Qian*, Tanja Schultz, and Björn W. Schuller, “An Overview of the First ICASSP Special Session on Computer Audition for Healthcare”, in Proceedings of ICASSP, pp.9002-9006, Singapore, May 2022.
  6. Shuai Yu, Yiwei Ding, Kun Qian*, Bin Hu*, Wei Li, Björn W. Schuller, “A Glance-and-Gaze Network for Respiratory Sound Classification”, in Proceedings of ICASSP, pp.9007-9011, Singapore, May 2022.
  7. Zhihua Wang, Zhihao Bao, Kun Qian*, Bin Hu*, Björn W. Schuller, and Yoshiharu Yamamoto, “Learning Optimal Time-Frequency Representations Heart Sound: A Comparative Study”, in Proceedings of CSMT, pp.93-104, Hangzhou, China, June 2022.
  8. Yang Tan, Zhihua Wang, Kun Qian*, Bin Hu*, Shiliang Zhao, Björn W. Schuller, and Yoshiharu Yamamoto, “Heart Sound Classification based on Fractional Fourier Transformation Entropy”, in Proceedings of LifeTech, pp.588-589, Osaka, Japan, March 2022 (Excellent Award for Online Poster Presentation).
  9. Meishu Song, Emilia Parada-Cabaleiro, Zijiang Yang, Xin Jing, Kazumasa Togami, Kun Qian*, Björn W. Schuller, and Yoshiharu Yamamoto, “Parallelising 2D-CNNs and Transformers: A Cognitive-based Approach for Automatic Recognition of Learners’ English Proficiency”, in Proceedings of IHSI, pp.1-8, Venice, Italy, February 2022.