1. Yang Tan, Zhihua Wang, Kun Qian, Zhihao Bao, Zheyu Cao, Bin Hu*, Yoshiharu Yamamoto, Björn W Schuller, AMNet: Introducing an Adaptive Mel-Spectrogram End-to-End Neural Network for Heart Sound Classification, 2023 IEEE International Conference on E-health Networking, Application & Services (Healthcom), (2023), 90-94.

2. Jian Song, Xiang Li, Wenjing Jiang, Chunxiao Wang, Zhigang Zhao, Jialiang Lv, Bin Hu*, EEG based Parkinson Detection through Supervised Information Enhanced Contrastive Learning, 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), (2023), 2239-2244.

3. Dewen Xu, Zhihua Wang, Tsuyoshi Kitajima, Toru Nakamura, Hiroko Shimura, Hiroki Takeuchi, Yang Tan, Runze Ge, Kun Qian, Bin Hu*, Björn W Schuller, Yoshiharu Yamamoto, An End-to-End Model for Mental Disorders Detection by Spontaneous Physical Activity Data, 2023 IEEE International Conference on Data Mining Workshops (ICDMW), (2023), 1306-1312.

4. Meishu Song, Zijiang Yang, Andreas Triantafyllopoulos, Toru Nakamura, Yongxin Zhang, Zhao Ren, Hiroki Takeuchi, Akifumi Kishi, Tetsuro Ishizawa, Kazuhiro Yoshiuchi, Haojie Zhang, Kun Qian, Bin Hu*, Björn W Schuller, Yoshiharu Yamamoto, Crossmodal Transformer on Multi-Physical Signals for Personalised Daily Mental Health Prediction, 2023 IEEE International Conference on Data Mining Workshops (ICDMW), (2023), 1299-1305.

5. Yutong Li, Juan Wang, Zhenyu Liu, Li Zhou, Haibo Zhang, Cheng Tang, Xiping Hu, Bin Hu*, An Automatic Depression Detection Method with Cross-Modal Fusion Network and Multi-head Attention Mechanism, Chinese Conference on Pattern Recognition and Computer Vision (PRCV), (2023), 252-264.

6. Cuiping Zhu, Zhonghao Zhao, Yang Tan, Mengkai Sun, Kun Qian, Tao Jiang, Bin Hu*, Björn W Schuller, Yoshiharu Yamamoto, Less is More: A Novel Feature Extraction Method for Heart Sound Classification via Fractal Transformation, 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), (2023), 1-4.

7. Zikai Song, Lixian Zhu, Yiyan Wang, Mengkai Sun, Kun Qian, Bin Hu*, Yoshiharu Yamamoto, Björn W Schuller, Cutting Weights of Deep Learning Models for Heart Sound Classification: Introducing a Knowledge Distillation Approach, 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), (2023), 1-4.

8. Gang Luo, Shuting Sun, Kun Qian, Bin Hu*, Björn W Schuller, Yoshiharu Yamamoto, How does Music Affect Your Brain? A Pilot Study on EEG and Music Features for Automatic Analysis, 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), (2023), 1-4.

9. Zhihao Bao, Kun Qian, Zhonghao Zhao, Mengkai Sun, Ruolan Huang, Dewen Xu, Bin Hu*, Yoshiharu Yamamoto, Björn W Schuller, Somatisation Disorder Detection via Speech: Introducing a Self-Supervised Learning Model, 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), (2023), 1-4.

10. Meishu Song, Andreas Triantafyllopoulos, Zijiang Yang, Hiroki Takeuchi, Toru Nakamura, Akifumi Kishi, Tetsuro Ishizawa, Kazuhiro Yoshiuchi, Xin Jing, Vincent Karas, Zhonghao Zhao, Kun Qian, Bin Hu*, Björn W Schuller, Yoshiharu Yamamoto, Daily mental health monitoring from speech: A real-world japanese dataset and multitask learning analysis, ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), (2023), 1-5.

11. Zhihua Wang, Zhihao Bao, Kun Qian, Bin Hu*, Björn W Schuller, Yoshiharu Yamamoto, Learning Optimal Time-Frequency Representations for Heart Sound: A Comparative Study, Proceedings of the 9th Conference on Sound and Music Technology, (2023), 93-104.

12. Yongzi Yu, Wanyong Qiu, Chen Quan, Kun Qian, Zhihua Wang, Yu Ma, Bin Hu*, Björn W Schuller, Yoshiharu Yamamoto, Federated Intelligent Terminals Facilitate Stuttering Monitoring, In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), (2023), 1-5.

13. Zhonghao Zhao, Yang Tan, Mengkai Sun, Yi Chang, Kun Qian, Bin Hu*, Björn W Schuller, Yoshiharu Yamamoto, A Multi-feature Sets Fusion Strategy with Similar Samples Removal for Snore Sound Classification, In National Conference on Man-Machine Speech Communication, (2023), 30-43.

14. Haifeng Lu, Xiping Hu, Bin Hu*, See Your Emotion from Gait Using Unlabeled Skeleton Data, In Proceedings of the AAAI Conference on Artificial Intelligence, 37(2) (2023), 1826-1834.

15. Yu Ma, Yuting Huang, Kaixiang Yuan, Guangzhe Xuan, Yongzi Yu, Hengrui Zhong, Rui Li, Jian Shen, Kun Qian, Bin Hu*, Björn W Schuller, Yoshiharu Yamamoto, Explainable Stuttering Recognition Using Axial Attention, International Conference on Intelligent Computing, (2023),209-220.

16. Tomoya Koike, Zhihua Wang, Kun Qian, Bin Hu*, Björn W Schuller, Yoshiharu Yamamoto, An Investigation on Data Augmentation and Multiple Instance Learning for Diagnosis of COVID-19 from Speech and Cough Sound, International Conference on Consumer Electronics-Taiwan (ICCE-Taiwan), (2023), 783-784.

17. Yutong Li, Zhenyu Liu, Gang Li, Qiongqiong Chen, Zhijie Ding, Xiping Hu, Bin Hu*, A Visually Interpretable Convolutional-Transformer Model for Assessing Depression from Facial Images, IEEE International Conference on Multimedia and Expo (ICME), (2023), 252-257.

18. Yuhan Shi, Nan Zhao, Wenjie Yuan, Qiqi Zhao, Xiaowei Zhang, Bin Hu*, STLDA: A Spatiotemporal Linear Discriminant Analysis for Single-trial ERP-based Depression Recognition, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), (2023), 1413-1420.

19. Liangliang Liu, Jing Zhu, Shuting Sun, Xiaowei Li, Guanru Wang, Bin Hu*, Attention Fusion and Abnormal Brain Topology Neural Network for Mild Depression Recognition, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), (2023), 2543-2550.

20. Tao Sun, Fuze Tian, Hua Jiang, Qinglin Zhao, Bin Hu*, Design and Verification of an Aromatherapy Feedback System for Mental Fatigue Based on Physiological Signals, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), (2023), 4140-4147.

21. Yongfeng Tao, Minqiang Yang, Hao Shen, Zhichao Yang, Ziru Weng, Bin Hu*, Classifying Anxiety and Depression through LLMs Virtual Interactions: A Case Study with ChatGPT, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), (2023), 2259-2264.

22. Yulong Hu, Dehui Qiu, Xiaohua Wan, Juan Zhang, Xiaotong Wang, Fa Zhang, Bin Hu*, A Tongue Feature Extraction Method Based on a Sublingual Vein Segmentation, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), (2023), 1138-1143.

23. Jing Zhu, Xiaowei Li, Pengfei Hou, Bin Hu*, Xin Zhang, EEG-Based Depression Recognition Using Convolutional Neural Network with FFT and EMD, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), (2023), 2601-2608.

24. Cong Bao, Weihao Zheng, Qin Zhang, Songyu Yang, Zhijun Yao, Bin Hu*, Adversarial U-Network for Predicting Blood Oxygen Level-Dependent Time Series, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), (2023), 3499-3506.

25. Jian Shen, Jiaying Chen, Yu Ma, Zheyu Cao, Yanan Zhang, Bin Hu*, Explainable Depression Recognition from EEG Signals via Graph Convolutional Network, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), (2023), 1406-1412.

26. Luyu Chen, Lin Shen, Dan Yu, Zhihua Wang, Kun Qian, Bin Hu*, Björn W Schuller, Yoshiharu Yamamoto, Multi-Track Music Generation with WGAN-GP and Attention Mechanisms, IEEE 12th Global Conference on Consumer Electronics (GCCE), (2023), 606-607.

27. Runze Ge, Zhihua Wang, Zhonghao Zhao, Kun Qian, Bin Hu*, Björn W Schuller, Yoshiharu Yamamoto, An End-to-End Model for Speech-based Somatisation Disorder Detection, IEEE 12th Global Conference on Consumer Electronics (GCCE), (2023), 603-605.

28. MinKi Cho, Zhonghao Zhao, Zhihua Wang, Kun Qian, Bin Hu*, Yoshiharu Yamamoto, Björn W Schuller, Snore Sound Recognition via an Explainable Capsule Network, IEEE 12th Global Conference on Consumer Electronics (GCCE), (2023), 1048-1049.

29. Jiayi Lei, E Zhang, Yingying She, Xin Wang, Yuhan Liao, Bin Hu*, Hang Wu, Minqiang Yang, Jiajia Tian, Yong Wang, A Multi-Modal Behavior Quantitative Analysis Model for Autism Early Screening, IEEE International Conference on Systems, Man, and Cybernetics (SMC), (2023), 5132-5139.