1. Xiaodong Zhang, Minghua Qin, Tao Cheng, Xinjie Liu, Rurui Xue, Bin Hu*, Yun Li, Gang Xiong, XiSong Dong, Intelligent Collaborative Robot Based on DMHF-CNN+ YOLOv7 and Soft Q-Learning in Non-Standard Industrial Parts Assembly, 2024 IEEE 4th International Conference on Digital Twins and Parallel Intelligence (DTPI), (2024), 401-404.

2. Bin Hu*, Xiaodong Zhang, Xinjie Liu, Rurui Xue, Tao Cheng, Minghua Qin, Yun Li, Gang Xiong, XiSong Dong, The Realization of a Collaborative Robot ACP System for Intelligent Garbage Classification, 2024 IEEE 4th International Conference on Digital Twins and Parallel Intelligence (DTPI), (2024), 338-343.

3. Jiahao Ji, Lixian Zhu, Haojie Zhang, Kun Qian, Kele Xu, Zikai Song, Bin Hu*, Björn W Schuller, Yoshiharu Yamamoto, Weight light, hear right: Heart sound classification with a low-complexity model, 2024 32nd European Signal Processing Conference (EUSIPCO), (2024), 326-330.

4. Yuhan Liao, Fang Liu, Lin Lin, Mingbo Hou, Yingying She, Hang Wu, Bin Hu*, QingQiang Wu, iCCBT, an Interactive Approach of CBT for Online Psychological Intervention, 2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD), (2024), 2770-2775.

5. Liuxian Ma, Lin Shen, Ruobing Li, Haojie Zhang, Kun Qian, Bin Hu*, Björn W Schuller, Yoshiharu Yamamoto, E-ODN: An Emotion Open Deep Network for Generalised and Adaptive Speech Emotion Recognition, Proceedings of the Interspeech 2024, (2024), 4293-4297.

6. Xihang Qiu, Lixian Zhu, Zikai Song, Zeyu Chen, Haojie Zhang, Kun Qian, Ye Zhang, Bin Hu*, Yoshiharu Yamamoto, Björn W Schuller, Study selectively: An adaptive knowledge distillation based on a voting network for heart sound classification, Proceedings of the Interspeech 2024, (2024), 1-5.

7. Letian Wang, Yanbing Zhu, Xiaohua Wan, Yiming Zhang, Shuang Feng, Chang Li, Fa Zhang, Bin Hu*, Com-DNB: A novel method for identifying critical states of complex biological processes and its parallelization, Proceedings of the 15th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, (2024), 1-10.

8. Chengwei Gu, Fuze Tian, Hua Jiang, Qinglin Zhao, Bin Hu*, Wearable Aromatherapy Feedback System for Sleep Monitoring and Intervention: Using Single-Channel EEG and a Lightweight Model, 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), (2024), 6392-6399.

9. Na Li, Ziyi Wang, Jun Huang, Shuting Sun, Jing Zhu, Xiaowei Li, Bin Hu*, Nitrous oxide therapy-induced changes in brain modules of treatment-resistant depression: a randomized controlled study, 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), (2024), 3428-3433.

10. Hao Shen, Zihan Li, Minqiang Yang, Minghui Ni, Yongfeng Tao, Zhengyang Yu, Weihao Zheng, Chen Xu, Bin Hu*, Are Large Language Models Possible to Conduct Cognitive Behavioral Therapy? 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), (2024), 3695-3700.

11. Wei Qia, Kun Li, Dan Guo, Bin Hu*, Meng Wang, Cluster-Phys: Facial Clues Clustering Towards Efficient Remote Physiological Measurement, Proceedings of the 32nd ACM International Conference on Multimedia, (2024), 330-339.

12. Chengyu Yuan, Hao Xiong, Guoqing Shangguan, Hualei Shen, Dong Liu, Haojie Zhang, Zhonghua Liu, Kun Qian, Bin Hu*, Björn W Schuller, Yoshiharu Yamamoto, Shlomo Berkovsky, Deep Fusion of Shifted MLP and CNN for Medical Image Segmentation, ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), (2024), 1676-1680.

13. Xiang Li, Jian Song, Zhigang Zhao, Chunxiao Wang, Dawei Song, Bin Hu*, A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion Recognition, ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), (2024), 2325-2329.