化成城，男，2019年毕业于东北大学机械电子工程专业，2019年9月入职南京信息工程大学自动化学院，主要研究领域为脑电信号与脑机接口。

招生：对脑神经科学有浓厚兴趣，踏实肯学 

科研项目:

1. BK20200821，基于EEG的虚拟现实沉浸感的神经活动机制及评估研究，江苏省自然科学基金青年项目，2020.07-2023.06

2. 62206130，基于即时标注特异化脑电特征的虚拟现实晕动症在线检测研究，国家自然科学基金青年项目，2023.01-2025.12

学术成果：

1. Wang H , Li Z , Hua C ,et al.STBB-Net: A Hybrid EEG Model for Virtual Reality Motion Sickness Detection[J].IEEE Sensors Journal, 2026.DOI:10.1109/JSEN.2026.3656592.

2. Hua C, Dai Z , Chen Y ,et al.Tsaeeg-Cl: A Tempo-Spatial Attention Eeg Model with Contrastive Learning for Vrms Susceptibility Detection[J].IEEE Sensors Journal, 2026.DOI:10.2139/ssrn.5139562.

3. Hua C, Dai Z, Yang W, et al. EEG-based virtual reality motion sickness detection model with lead embedding and Siamese network[J]. Signal Image and Video Processing, 2025, 19(14).

4. Hua C, Chen Y, Tao J, et al. Dual-pathway EEG model with channel attention for virtual reality motion sickness detection[J]. Journal of Neuroscience Methods, 2025: 110425.

5. Hua C, Tao J, Zhou Z, et al. EEG classification model for virtual reality motion sickness based on multi-scale CNN feature correlation[J]. Computer Methods and Programs in Biomedicine, 2024, 251: 108218.

6. Hua C, Chai L, Yan Y, et al. Assessment of virtual reality motion sickness severity based on eeg via lstm/bilstm[J]. IEEE Sensors Journal, 2023, 23(20): 24839-24848.

7. Hua C, Chai L, Zhou Z, et al. Detection of virtual reality motion sickness based on EEG using asymmetry of entropy and cross-frequency coupling[J]. Physiology & Behavior, 2024, 284: 114626.

8. Hua C, Zhou Z, Tao J, et al. A Siam-LSTM Model for Multi-Channel EEG on VR Motion Sickness Recognition[J]. IEEE Sensors Journal, 2024.

9. Hua C, Tao J, Chai L, et al. The effect of additional shooting task on alleviating virtual reality motion sickness[C]//Proceedings of the 2023 3rd International Conference on Robotics and Control Engineering. 2023: 172-177.

10. Hua C, Chai L, Zhou Z, et al. Recognition of VR Motion Sickness Level Based on EEG and Functional Brain Network[C]//Asian-Pacific Conference on Medical and Biological Engineering. Cham: Springer Nature Switzerland, 2023: 95-102.

11. Zhou Z, Hua C, Chai L, et al. Application of EEG S-Transformation Combined with Dimensionless Metrics for Automatic Detection of Cybersickness[C]//Chinese Intelligent Automation Conference. Singapore: Springer Nature Singapore, 2023: 634-640.

12. Chai L, Hua C, Zhou Z, et al. An EEG Study of Virtual Reality Motion Sickness Based on MVMD Combined with Entropy Asymmetry[C]//Chinese Intelligent Automation Conference. Singapore: Springer Nature Singapore, 2023: 372-377.

13. 陈玥池,化成城,戴志安,等.小波变换与注意力双路融合的虚拟现实晕动症脑电检测模型[J].电子与信息学报, 2026, 48(3):1-11.DOI:10.11999/JEIT251233.

14. 杨文清,化成城,殷利平,等.基于脑功能网络的虚拟现实晕动症检测[J].南京信息工程大学学报,2026,18(01):26-34.DOI:10.13878/j.cnki.jnuist.20241120001.

15. 化成城,周占峰,柴立宁,等.基于源空间功能连通性分析的虚拟现实晕动症检测研究[J].中国生物医学工程学报, 2025(3).

16. 化成城,周占峰,陶建龙,等.导联注意力及脑连接驱动的虚拟现实晕动症识别模型研究[J].电子与信息学报, 2025, 47(5):1-11.DOI:10.11999/JEIT240440.

17. 化成城,柴立宁,周占峰,等.基于变分模态分解的休息态虚拟现实晕动症脑电自动检测[J].电子测量与仪器学报, 2024, 38(2):171-181.

18. 周占峰,化成城,柴立宁,等.基于脑电节律能量与模糊熵的VR诱发晕动症水平检测研究[J].数据采集与处理, 2024, 39(2):490-500.DOI:10.16337/j.1004-9037.2024.02.021.

19. 杨文清,化成城,殷利平,等.基于脑电微状态的虚拟现实晕动症研究[J].国外电子测量技术, 2024, 43(6):110-118.DOI:10.19652/j.cnki.femt.2405943.

20. 柴立宁,化成城,周占峰.基于脑电样本熵功率谱的VR诱发晕动症分析[J].电子测量技术, 2022, 45(20):10.DOI:10.19651/j.cnki.emt.2209724.

21. Hua C, Wang H, Chen J, et al. Novel functional brain network methods based on CNN with an application in proficiency evaluation[J]. Neurocomputing, 2019, 359: 153-162.

22. Hua C, Wang H, Wang H, et al. A novel method of building functional brain network using deep learning algorithm with application in proficiency detection[J]. International journal of neural systems, 2019, 29(01): 1850015.

23. Wang H, Hua C, Wang Q, et al. Training state and performance evaluation of working memory based on task-related EEG[J]. Biomedical Signal Processing and Control, 2019, 51: 296-308.

24. 化成城,王宏,卢绍文,et al.面向知识自动化的磨矿系统操作员脑认知特征与控制效果的相关分析[J].自动化学报, 2017, 43(11):10.DOI:CNKI:SUN:MOTO.0.2017-11-003.

学生培养：

1. 张岂明，基于脑电信号的虚拟现实疲劳检测与缓解研究 2023年 大学生创新创业训练项目（省级），2023年

2. 张岂明，基于脑电信号的虚拟现实疲劳检测与缓解研究 2023年 “互联网+”大学生创新创业大赛校赛银奖，2023年

3. 易春晨，基于虚拟现实与脑机接口的晕动症检测算法研究，大学生创新创业训练项目（省级），2022年

4. 周占峰，虚拟现实晕动症的脑电多域特征解码研究，研究生校级优秀毕业论文，2025年