2025

  1. Kun Qian*, Zhonghao Zhao, Yang Tan, Weijia Zhang, Min Ki Cho, Cuiping Zhu, Fuze Tian*, Bin Hu*, Yoshiharu Yamamoto, and Björn W. Schuller, “Computer Audition for Healthcare: A Survey on Speech Analysis”, AI Open (IF-2024:14.8), in press, pp.1-40, 2025.
  2. Kun Qian*, Haojie Zhang, Xin Jing, Bin Hu*, Yoshiharu Yamamoto, and Björn W. Schuller, “Foundation Models for Digital Mental Health: Igniting the Dawn”, Medicine Plus, vol.2, no.2, pp.100085, 2025.
  3. Zhihua Wang#, Haojie Zhang#, Yang Tan, Rui Wang, Kun Qian*, Bin Hu*, Yoshiharu Yamamoto, and Björn W. Schuller, “Can Information Representations Inspired by the Human Auditory Perception Benefit Computer Audition-based Disease Detection? An Interpretable Comparative Study”, IEEE Journal of Biomedical and Health Informatics (IF-2024: 6.8), in press, pp.1-14, 2025.
  4. Lin Shen, Ruobing Li, Xiaoxi Liu, Haojie Zhang, Cuiping Zhu, Kun Qian*, Fuze Tian*, Bin Hu*, Björn W. Schuller, and Yoshiharu Yamamoto, “Echoes of the Brain: Reconstructing Music from EEG via Latent Space Alignment and Guided Diffusion”, IEEE Transactions on Multimedia (IF-2024: 9.7), pp.1-12, 2025.
  5. Gang Luo, Yutong Han, Weichu Xie, Fuze Tian, Lixian Zhu*, Kun Qian, Xiaowei Li, Shuting Sun*, Bin Hu*, “GCD-JFSE: Graph-based Class-domain Knowledge Joint Feature Selection and Ensemble Learning for EEG-based Emotion Recognition”, Knowledge-Based Systems (IF-2024: 7.6), no.309, pp.112770, 2025.
  6. Yi Chang*, Zhao Ren*, Zixing Zhang, Xin Jing, Kun Qian*, Xi Shao, Bin Hu, Tanja Schultz, and Björn W. Schuller, “STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition”, IEEE Transactions on Affective Computing (IF-2024:9.8), vol.16, no.2, pp.861-874, 2025.
  7. Lin Shen, Haojie Zhang, Cuiping Zhu, Ruobing Li, Kun Qian*, Wei Meng, Fuze Tian*, Bin Hu*, Björn W. Schuller, and Yoshiharu Yamamoto, “A First Look at Generative Artificial Intelligence based Music Therapy for Mental Disorders”, IEEE Transactions on Consumer Electronics (IF-2024: 10.9), vol.71, no.3, pp.7439-7453, 2025.
  8. Cuiping Zhu, Lin Shen, Zhonghao Zhao, Ruobing Li, Haodong Lu, Jingwen Xu, Kun Qian*, Bin Hu*, Björn W. Schuller, and Yoshiharu Yamamoto, “Emotional Resonance: Exploring the Emotional Effects of AI-Generated and Real Music”, Journal of Shanghai Jiaotong University (Science), pp.1-17, 2025.
  9. Fuze Tian#*, Haojie Zhang#, Jie Liu, Jingyu Liu, Mingqi Zhao, Kun Qian*, Qinglin Zhao, Bin Hu*, Yoshiharu Yamamoto, and Björn W. Schuller, “An On-Board Executable Multitask Network Model for Bioradar-Based ECG Signal Reconstruction Using High-Fidelity DHD Signals“, IEEE Transactions on Instrumentation and Measurement (IF-2024:5.9), vol.74, pp.1-20, 2025.
  10. Haojie Zhang#, Fuze Tian#, Yang Tan, Lin Shen, Enze Li, Jiedong Ma, Jingyu Liu, Kun Qian*, Jing Li*, Bin Hu*, Yoshiharu Yamamoto, and Björn W. Schuller, “Towards Practical Colorectal Cancer Diagnosis: A Bowel Sound-Based System with Portable Sensor and On-Board Lightweight AI Model“, IEEE Internet of Things Journal (IF-2024:8.9), vol.12, no.21, pp.45722-45736, 2025.
  11. Jian Shen, Jinwen Wu, Yanan Zhang, Kexin Zhu, Kang Wang, Wenbo Hu, Kechen Hou, Kun Qian*, Xiaowei Zhang*, and Bin Hu*, “MF2-Net: Exploring a Meta-Fuzzy Multimodal Fusion Network for Depression Recognition”, IEEE Transactions on Fuzzy Systems (IF-2024: 11.9), vol.33, no.9, pp.2924-2936, 2025.
  12. Xihang Qiu, Wanyong Qiu, Ye Zhang, Kun Qian*, Chun Li*, Bin Hu*, Björn W. Schuller, and Yoshiharu Yamamoto, “FedKDC: Consensus-Driven Knowledge Distillation for Personalized Federated Learning in EEG-Based Emotion Recognition”, IEEE Journal of Biomedical and Health Informatics (IF-2024: 6.8), vol.29, no.8, pp.5527-5540, 2025.
  13. Lin Shen, Haojie Zhang, Cuiping Zhu, Ruobing Li, Kun Qian*, Fuze Tian*, Bin Hu*, Björn W. Schuller, and Yoshiharu Yamamoto, “Enhancing Emotion Regulation in Mental Disorder Treatment: An AIGC-Based Closed-Loop Music Intervention System”, IEEE Transactions on Affective Computing (IF-2024:9.8), vol.16, no.3, pp.2245-2260, 2025.
  14. Fuze Tian#*, Haojie Zhang#, Yang Tan, Lixian Zhu, Lin Shen, Kun Qian*, Bin Hu*, Björn W. Schuller, and Yoshiharu Yamamoto, “An On-Board Executable Multi-Feature Transfer-Enhanced Fusion Model for Three-Lead EEG Sensor-Assisted Depression Diagnosis”, IEEE Journal of Biomedical and Health Informatics (IF-2024: 6.8), vol.29, no.1, pp.152-165, 2025. (ESI Highly Cited Paper)
  15. Haojie Zhang#, Fuze Tian#, Yang Tan, Lin Shen, Jingyu Liu, Jie Liu, Kun Qian*, Yalei Han, Gong Su*, Bin Hu*, Björn W. Schuller, and Yoshiharu Yamamoto, “An AI-assisted All-in-one Integrated Coronary Artery Disease Diagnosis System Using a Portable Heart Sound Sensor with an On-board Executable Lightweight Model”, IEEE Transactions on Mobile Computing (IF-2024: 9.2), vol.24, no.8, pp.7252-7266, 2025.
  16. Shuyan Zhang, Jingtan Li, Lin Shen, Zhonghao Zhao, Minjun Lee, Kun Qian*, Naidi Sun*, and Bin Hu*, “Structure and Oxygen Saturation Recovery of Sparse Photoacoustic Microscopy Images by Deep Learning”, Photoacoustics (IF-2024: 6.8), vol.42, pp.100687, 2025.
  17. Ziwen Sun*, Jian Kang*, Kun Qian*, Björn W. Schuller*, and Bin Hu*, “Creating Healthier Living Environments: The Role of Soundscapes in Promoting Mental Health and Well-Being”, IEEE Transactions on Computational Social Systems (IF-2024: 4.9), vol.12, no.1, pp.2-12, 2025.
  18. Lixian Zhu#, Rui Wang#, Xiaokun Jin, Yuwen Li, Fuze Tian*, Ran Cai, Kun Qian*, Xiping Hu, Bin Hu*, Yoshiharu Yamamoto, and Björn W. Schuller, “Explainable Depression Classification Based on EEG Feature Selection from Audio Stimuli”, IEEE Transactions on Neural Systems and Rehabilitation Engineering (IF-2024: 5.2), vol.33, pp.1411-1426, 2025.
  19. Wen Qi*, Xiangming Xu*, Kun Qian*, Björn W. Schuller, Giancarlo Fortino, and Andrea Aliverti, “A Review of AIoT-based Human Activity Recognition: From Application to Technique”, IEEE Journal of Biomedical and Health Informatics (IF-2024: 6.8), vol.29, no.4, pp.2425-2438, 2025.
  20. Zekun Tao, Changjian Wang*, Kele Xu*, Tao Sun, Yong Guo, Kun Qian, Yanru Bai, and Shanshan Li, “Information Diffusion Prediction with Augmented Diffusion Dependency and Multi-Granularity Temporal Influence”, IEEE Transactions on Computational Social Systems (IF-2024: 4.9), in press, pp.1-12, 2025.
  21. Chen Xu, Tian Lan, Changlong Yu, Wei Wang, Jun Gao, Yu Ji, Qunxi Dong, Kun Qian, Piji Li, Wei Bi, and Bin Hu*, “DECIDER: A Dual-System Rule-Controllable Decoding Framework for Language Generation”, lEEE Transactions on Knowledge and Data Engineering (IF-2024: 10.4), vol.37, no.7, pp.3976-3990, 2025.