- Lujundong Li#, Tong Xia#, Haojie Zhang, Dongchen He, Kun Qian*, Yoshiharu Yamamoto, Björn W. Schuller, Bin Hu*, and Cecilia Mascolo, “ECG-DPM: Electrocardiogram Generation via a Spectrogram-Based Diffusion Probabilistic Model“, in Proceedings of IEEE UIC, pp.300-305, Denarau, Fiji, December 2024.
- Miao Liu#, Haojie Zhang#, Kun Qian*, Bin Hu, Toru Nakamura, Taishin Nomura, Jian Zhang, Zhangguo Tang, Björn W. Schuller, Yoshiharu Yamamoto, and Huanzhou Li*, “Advancing Metadata-Convolutional Neural Networks with Multi-Supervised Contrastive Learning and Metadata Insights for Respiratory Sound Analysis“, in Proceedings of CSMT, pp.25-36, Wuhan, China, October 2024.
- Peng Gao#, Haojie Zhang#, Lin Shen, Yongxin Zhang, Jiang Liu, Kun Qian*, Bin Hu*, Björn W. Schuller, and Yoshiharu Yamamoto, “Clearer Lub-Dub: A Novel Approach in Heart Sound Denoising Based on Transfer Learning”, in Proceedings of IEEE HealthCom, pp.1-5, Nara, Japan, November 2024.
- Qingrong Wu#, Mengkai Sun#, Haojie Zhang, Yongxin Zhang, Yiming Liu, Boyang Meng, Kun Qian*, Bin Hu*, Toru Nakamura, Taishin Nomura, Björn W. Schuller, and Yoshiharu Yamamoto, “Inspiration of Prototype Knowledge: Introducing a Meta-Learning Approach to Heart Sound Classification”, in Proceedings of IEEE HealthCom, pp.1-6, Nara, Japan, November 2024.
- Raafat George Saade, Lixian Zhu, Hanshu Cai, Kun Qian*, and Bin Hu*, “Application Types of Affective Computing – Experimentations from Brainhealth Lab”, in Proceedings of the INDIRE, pp.1-12, Chalkidiki, Greece, June 2024.
- Mengkai Sun, Haojie Zhang, Kun Qian*, and Bin Hu*, “LIF-ProtoNet: Prototypical Network with Leaky Integrate-and-Fire Neuron and squeeze-and-excitation blocks for bioacoustic event detection”, Technical Report for DCASE2024 Challenge, pp.1-4, Tokyo, Japan, October 2024.
- Xiaoyu Shen#, Wanyong Qiu#, Haojie Zhang, Kun Qian*, Yongzi Yu, and Bin Hu*, “Self-supervised Federated Learning for Heart Sound Recognition”, in Proceedings of the NCMMSC, pp.1-8, Urumqi, China, August 2024.
- Liuxian Ma#, Lin Shen#, Ruobing Li, Haojie Zhang, Kun Qian*, Bin Hu*, Björn W. Schuller, and Yoshiharu Yamamoto, “E-ODN: An Emotion Open Deep Network for Generalised and Adaptive Speech Emotion Recognition”, in Proceedings of the INTERSPEECH, pp.4293-4297, Kos Island, Greece, September 2024.
- Xihang Qiu#, Lixian Zhu#, Zikai Song, Zeyu Chen, Haojie Zhang, Kun Qian*, Ye Zhang*, Bin Hu*, Yoshiharu Yamamoto, and Björn W. Schuller, “Study Selectively: An Adaptive Knowledge Distillation based on a Voting Network for Heart Sound Classification”, in Proceedings of the INTERSPEECH, pp.137-141, Kos Island, Greece, September 2024.
- Jiahao Ji#, Lixian Zhu#, Haojie Zhang, Kun Qian*, Kele Xu, Zikai Song, Bin Hu*, Björn W. Schuller, and Yoshiharu Yamamoto, “Weight Light, Hear Right: Heart Sound Classification with a Low-Complexity Model”, in Proceedings of the EUSIPCO, pp.326-330, Lyon, France, August 2024.
- Wen Qi*, Chengwei Lin, and Kun Qian*, “Multimodel Lightweight Transformer Framework for Human Activity Recognition”, in Proceedings of the EMBC, pp.1-4, Orlando, FL., USA, July 2024.
- Chengyu Yuan, Hao Xiong*, Guoqing Shangguan, Hualei Shen*, Dong Liu, Haojie Zhang, Zhonghua Liu, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto, and Shlomo Berkovsky, “Deep Fusion of Shifted MLP and CNN For Medical Image Segmentation”, in Proceedings of the ICASSP, pp.1676-1680, Seoul, Korea, April 2024.