2026

  1. Jiancheng Han#, Heqing Wang#, Yifan Feng#, Qi Yang#, Jingtan Li, Haojie Zhang, Yihua He, Jiang Liu, Toru Nakamura, Yang Cao, Naidi Sun*, Kun Qian*, Bin Hu*, Xinru Gao, Yan Xia, Zongjie Weng, Björn W. Schuller, and Yoshiharu Yamamoto, “Federated Learning for Prenatal Detection of Interrupted Aortic Arch Using Fetal Ultrasound Imaging”, Biomedical Signal Processing and Control (IF-2024:4.9), pp.1-30, 2026.
  2. 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.
  3. 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, 2026.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.