2026

  1. Tianrui Jia#, Haojie Zhang#, Hanhan Wu, Qiyang Sun, Xin Jing, Boyang Meng, Lin Shen, Liang Wang, Kun Qian*, Ye Zhang*, Bin Hu*, Tanja Schultz, Björn W. Schuller, and Yoshiharu Yamamoto, “Breaking Through Data Scarcity: A Novel Diffusion Model Approach for Snoring Sound Augmentation and Classification”, Biomedical Signal Processing and Control (IF-2024:4.9), vol.116, pp.109449, 2026.
  2. Gang Luo, Yao Zou, Shuaiyi Xu, Wei Zhang, Lixian Zhu, Fuze Tian, Na Chu, Kun Qian, Xiaowei Li, Jingxin Liu*, Shuting Sun*, and Bin Hu*, “Hybrid Source Selection Fusion Domain-invariant Attention for Cross-subject Emotion Recognition”, IEEE Transactions on Affective Computing (IF-2024:9.8), pp.1-13, 2025.
  3. Enze Li#, Haojie Zhang#, Kun Qian*, Fuze Tian*, Bin Hu*, Björn W. Schuller, and Yoshiharu Yamamoto, “Body Sound Denoising Technologies: A Survey and Validation”, Biomedical Signal Processing and Control (IF-2024:4.9), vol.114, pp.109302, 2026.
  4. Yang Tan, Haojie Zhang, Jingwen Xu, Hanhan Wu, Kun Qian*, Bin Hu*, Yoshiharu Yamamoto, and Björn W. Schuller, “BBANet: Bilateral Biological Auditory-Inspired Neural Network for Heart Sound Classification“, Engineering Applications of Artificial Intelligence (IF-2024:8.0), vol.164, pp.113165, 2026.
  5. Jiangjian Xie#, Linlin Xie#, Tong Xiao#, Rui Zhu, Chunhe Hu, Kun Qian*, and Changchun Zhang*, “DiemaNet: An automated detection model for three typical respiratory diseases“, Biomedical Signal Processing and Control (IF-2024:4.9), no.112, pp.108504, 2026.
  6. Ruobing Li#, Yifan Feng#, Lin Shen, Liuxian Ma, Haojie Zhang, Kun Qian*, Bin Hu*, Yoshiharu Yamamoto, and Björn W. Schuller, “FedVCPL-Diff: A Federated Convolutional Prototype Learning Framework with a Diffusion Model for Speech Emotion Recognition“, Information Fusion (IF-2024:15.5), vol.127, pp.103745, 2026.
  7. Jiangjian Xie#, Shanshan Xie#, Yang Liu, Xin Jing, Mengkun Zhu, Linlin Xie, Junguo Zhang*, Kun Qian*, and Björn W. Schuller, “Decoding Nature’s Melody: Significance and Challenges of Machine Learning in Assessing Bird Diversity via Soundscape Analysis“, Artificial Intelligence Review (IF-2024:13.9), vol.59, no.10, pp.1-35, 2026.