2023

  1. Kun Qian*, Björn W. Schuller*, Xiaohong Guan*, and Bin Hu*, “Intelligent Music Intervention for Mental Disorders: Insights and Perspectives”, IEEE Transactions on Computational Social Systems (IF-2023: 4.5), vol.10, no.1, pp.2-9, 2023.
  2. Kun Qian, Bin Hu*, Yoshiharu Yamamoto, and Björn W. Schuller, “The Voice of the Body: Why AI Should Listen to it and an Archive”, Cyborg and Bionic Systems (IF-2023: 10.5), vol.4, no.5, pp.1-3, 2023.
  3. Kun Qian*, György Fazekas, Shengchen Li, Zijin Li, and Björn W. Schuller, “Editorial: Human-Centred Computer Audition: Sound, Music, and Healthcare”, Frontiers in Digital Health (IF-2023: 3.2), vol. 5, pp. 1-3, 2023.
  4. Guihua Tian*, Kun Qian*, Xinyi Li, Mengkai Sun, Hao Jiang, Wanyong Qiu, Xiaoming Xie, Zhonghao Zhao, Liangqing Huang, Siyan Luo, Tianxing Guo, Ran Cai, Zhihua Wang, and Björn W. Schuller, “Can a Holistic View Facilitate the Development of Intelligent Traditional Chinese Medicine? A Survey”, IEEE Transactions on Computational Social Systems (IF-2023: 4.5), vol.10, no.2, pp.700-713, 2023.
  5. Lixian Zhu, Wanyong Qiu, Yu Ma, Fuze Tian, Mengkai Sun, Zhihua Wang, Kun Qian*, Bin Hu*, Yoshiharu Yamamoto, Björn W. Schuller, “LEPCNet: A lightweight End-to-End PCG Classification Neural Network Model for Wearable Devices”, IEEE Transactions on Instrumentation & Measurement (IF-2023: 5.6), vol. 73, no. 2511111, pp.1-11, 2023.
  6. Yu Ma#, Jian Shen#, Zeguang Zhao, Huajian Liang, Yang Tan, Zhenyu Liu, Kun Qian*, Minqiang Yang*, and Bin Hu*, “What Can Facial Movements Reveal? Depression Recognition and Analysis based on Optical Flow using Bayesian Networks”, IEEE Transactions on Neural Systems and Rehabilitation Engineering (IF-2023: 4.8), vol.31, pp.3459-3468, 2023.
  7. Zhihua Wang, Kun Qian*, Houguang Liu*, Bin Hu*, Björn W. Schuller, and Yoshiharu Yamamoto,“Exploring Interpretable Representations for Heart Sound Abnormality Detection”, Biomedical Signal Processing and Control (IF-2023: 4.9), vol.82, no.104569, pp.1-12, 2023.
  8. Jingtan Li#, Mengkai Sun#, Zhonghao Zhao, Xingcan Li, Gaigai, Li, Chen Wu, Kun Qian*, Bin Hu*, Yoshiharu Yamamoto, and Björn W. Schuller, “Battling with the Low-Resource Condition for Snore Sound Recognition: Introducing a Meta-Learning Strategy”, EURASIP Journal on Audio, Speech, and Music Processing (IF-2023: 1.7), vol. 2023, no. 43, pp. 1-9, 2023.
  9. Weijia Liu, Qunxi Dong*, Shuting Sun, Jian Shen, Kun Qian, and Bin Hu*, “Risk Prediction of Alzheimer’s Disease Conversion in Mild Cognitive Impaired Population based on Brain Age Estimation”, IEEE Transactions on Neural Systems and Rehabilitation Engineering (IF-2023: 4.8), vol.31, pp.2468-2476, 2023.
  10. Jian Shen, Yanan Zhang, Huajian Liang, Zeguang Zhao, Kexin Zhu, Kun Qian, Qunxi Dong, Xiaowei Zhang*, Bin Hu*, “Depression Recognition From EEG Signals Using an Adaptive Channel Fusion Method Via Improved Focal Loss”, IEEE Journal of Biomedical and Health Informatics (IF-2023: 6.7), vol.27, no.7, pp.3234-3245, 2023.
  11. Jian Shen, Yanan Zhang, Huajian Liang, Zeguang Zhao, Qunxi Dong, Kun Qian, Xiaowei Zhang*, and Bin Hu*, “Exploring the Intrinsic Features of EEG signals via Empirical Mode Decomposition for Depression Recognition“,IEEE Transactions on Neural Systems and Rehabilitation Engineering (IF-2023: 4.8), vol.31, pp.356-365, 2023.