2024

  1. Kun Qian, Zhihao Bao, Zhonghao Zhao, Tomoya Koike, Fengquan Dong*, Maximilian Schmitt, Qunxi Dong, Jian Shen, Weipeng Jiang, Yajuan Jiang, Bo Dong, Zhenyu Dai, Bin Hu*, Björn W. Schuller, and Yoshiharu Yamamoto, “Learning Representations from Heart Sound: A Comparative Study on Shallow and Deep Models”, Cyborg and Bionic Systems, vol.5, no.75, pp.1-12, 2024.
  2. Zhao Ren*, Yi Chang, Thanh Tam Nguyen, Yang Tan, Kun Qian*, and Björn W. Schuller, “A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era”, IEEE Computational Intelligence Magazine (IF-2022: 9.0), in press, pp.1-16, 2024.
  3. Wanyong Qiu, Chen Quan, Lixian Zhu, Yongzi Yu, Zhihua Wang, Yu Ma, Mengkai Sun, Yi Chang, Kun Qian*, Bin Hu*, Yoshiharu Yamamoto, and Björn W. Schuller, “Heart Sound Abnormality Detection From Multi-Institutional Collaboration: Introducing a Federated Learning Framework”, IEEE Transactions on Biomedical Engineering (IF-2022: 4.6), in press, pp.1-12, 2024.
  4. 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-2022: 5.6), vol. 73, no. 2511111, pp.1-11, 2024.
  5. Jiangjian Xie, Yuwei Shi, Dongming Ni, Manuel Milling, Shuo Liu, Junguo Zhang*, Kun Qian*, and Björn W. Schuller, “Automatic Bird Sound Source Separation Based On Passive Acoustic Devices in Wild Environment”, IEEE Internet of Things Journal (IF-2022: 10.6), vol.11, no.9, pp.16604-16617, 2024.
  6. Bin Hu*, Lixian Zhu*, Qunxi Dong*, Kun Qian*, Hanshu Cai*, and Fuze Tian*, “Physiological Electrosignal Asynchronous Acquisition Technology: Insight and Perspectives”, IEEE Transactions on Computational Social Systems (IF-2022: 5.0), vol.11, no.1, pp.5-24, 2024.
  7. Zhihua Wang, Zipeng Zhang, Yuying Shao, Kun Qian*, Houguang Liu*, Bin Hu, and Björn W Schuller, “Gas-insulated Switch-gear Mechanical Fault Detection based on Acoustic Feature Analysis Using a Multi-state Pre-trained Neural Network”, Measurement Science and Technology (IF-2022: 2.4), in press, pp.1-18, 2024.
  8. Jian Shen, Kexin Zhu, Zeguang Zhao, Huajian Liang, Yu Ma, Kun Qian, Yanan Zhang*, and Qunxi Dong*, “A Novel Intelligence Evaluation Framework: Exploring the Psychophysiological Patterns of Gifted Students”, IEEE Transactions on Computational Social Systems (IF-2022: 5.0), vol.11, no.2, pp.2036-2045, 2024.
  9. Fuze Tian, Lixian Zhu, Qiuxia Shi, Rui Wang, Lixin Zhang, Qunxi Dong, Kun Qian, Qinglin Zhao*, and Bin Hu*, “The Three-lead EEG Sensor: Introducing an EEG-assisted Depression Diagnosis System Based on Ant Lion Optimization”, IEEE Transactions on Biomedical Circuits and Systems (IF-2022: 5.1), vol.17, no.6. pp.1305-1318, 2024.
  10. Roneel V. Sharan*, Kun Qian, and Yoshiharu Yamamoto, “Automated Cough Sound Analysis for Detecting Childhood Pneumonia”, IEEE Journal of Biomedical and Health Informatics (IF-2022: 7.7), vol.28, no.1, pp.193-203, 2024.