脑与认知神经科学研究中心教师，计算机应用技术工学博士。
chengcheng@lnnu.edu.cn
研究兴趣：
脑电信号分析、情感识别与抑郁检测、多模态数据融合、神经网络、脑机接口。
教育经历：
2021.9-2024.12，大连理工大学，计算机科学与技术学院，博士。
学术兼职：
担任《IEEE Transactions on Neural Networks and Learning Systems》，《IEEE Transactions on Multimedia》，《Neural Networks》，《IEEE Journal of Biomedical and Health Informatics》，《IEEE Transactions on Affective Computing》等期刊审稿人。
主要荣誉与奖励：
2021年3月，辽宁省优秀毕业生；
2022年10月，大连理工大学优秀研究生；
2024年12月，大连理工大学优秀研究生；
2024年12月，博士研究生国家奖学金。
招生信息：
热忱欢迎具有心理学、计算机科学、数学、信号处理等专业背景，对脑电信号分析、认知神经科学等领域感兴趣的青年学子加入我们团队，进行创新实验或攻读学位，共同探索前沿研究！
期刊论文：
[1]ChengC, Yu Z, Zhang Y, Feng L, Hybrid network using dynamic graph convolution and temporal self-attention for EEG-based emotion recognition,IEEE Transactions on Neural Networks and Learning System, 2023, 1-11. (SCI: 1区), DOI:10.1109/TNNLS.2023.3319315
[2]ChengC, Liu W, Wang X, Feng L, Jia Z, DISD-Net: A dynamic interactive network with self-distillation for cross-subject multi-modal emotion recognition,IEEE Transactions on Multimedia, 2025. (SCI: 1区), DOI:10.1109/TMM.2025.3535344
[3]Feng L,ChengC*, Zhao M, Deng H, Zhang Y, EEG-based emotion recognition using spatial-temporal graph convolutional LSTM with attention mechanism,IEEE Journal of Biomedical and Health Informatics, 2022, 26 (11), 5406-5417. (SCI: 1区), DOI:10.1109/JBHI.2022.3198688
[4]ChengC,Zhang Y, Liu L, Liu W, Feng L, Multi-domain encoding of spatiotemporal dynamics in EEG for emotion recognition,IEEE Journal of Biomedical and Health Informatics, 2022, 27 (3), 1342-1353. (SCI: 1区), DOI:10.1109/JBHI.2022.3232497
[5]ChengC, Liu W, Feng L, Jia Z, Emotion recognition using hierarchical spatial–temporal learning transformer from regional to global brain,Neural Networks, 2024, 179, 106624. (SCI: 1区), DOI:https://doi.org/10.1016/j.neunet.2024.106624
[6]ChengC, Liu W, Fan Z, Feng L, Jia Z, A novel transformer autoencoder for multi-modal emotion recognition with incomplete data,Neural Networks, 2024, 172, 106111. (SCI: 1区), DOI:https://doi.org/10.1016/j.neunet.2024.106111
[7]ChengC, Liu W, Feng L, Jia Z, Dense graph convolutional with joint cross-attention network for multimodal emotion recognition,IEEE Transactions on Computational Social Systems, 2024. (SCI: 2区), DOI:10.1109/TCSS.2024.3412074
[8]ChengC, Liu W, Zhang Y, Feng L, Jia Z, A cross-modal adaptive masked autoencoder for decoding emotions with multimodal data,IEEE Transactions on Computational Social Systems, 2024.(SCI: 2区), DOI:10.1109/TCSS.2024.3415613
[9] Y Zhang, J Qu, Q Zhang,C Cheng*, EEG-based emotion recognition based on 4D feature representations and multiple attention mechanisms,2025, Biomedical Signal Processing and Control, 2025, 103, 107432. (SCI: 2区), DOI:https://doi.org/10.1016/j.bspc.2024.107432
[10] Wang X,Cheng C, Liu S, Song R, Wang X, Feng L, SS-INR: Spatial-spectral implicit neural representation network for hyperspectral and multispectral image fusion,IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, 1-14. (SCI: 1区), DOI:10.1109/TGRS.2023.3317413
[11] Zhang Y,Cheng C, Wang S, Xia T, Emotion recognition using heterogeneous convolutional neural networks combined with multimodal factorized bilinear pooling,Biomedical Signal Processing and Control, 2022, 77, 103877. (SCI: 2区), DOI:https://doi.org/10.1016/j.bspc.2022.103877
[12] Zhang Y,Cheng C, Zhang Y, Multimodal emotion recognition based on manifold learning and convolution neural network,Multimedia Tools and Applications, 2022, 81 (23), 33253-33268. (SCI: 4区), DOI:https://doi.org/10.1007/s11042-022-13149-8
[13] Zhang Y,Cheng C, Zhang Y, Multimodal emotion recognition using a hierarchical fusion convolutional neural network,IEEE Access, 2021, 9, 7943-7951. (SCI: 3区), DOI:10.1109/ACCESS.2021.3049516
会议论文：
[1] Zhang Y, Liu Y,ChengC*, PSACF: Parallel-serial attention-based cross-fusion for multimodal emotion recognition,2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024, 4014-4017, DOI:10.1109/BIBM62325.2024.10822849
[2] Zhang Y, Chen W,ChengC*, Multi-modal network based on spatio-temporal and attention for emotion recognition,2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023, 2364-2367, DOI:10.1109/BIBM58861.2023.10385831
[3] Zhang Y, Cai X, Chen W,Cheng C, Wang J, MSDA-ACLDR: Multi-source Domain Adaptation Augmented Contrastive Learning with Dual-stream Representations for Emotion Recognition,2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024, 4010-4013, DOI:10.1109/BIBM62325.2024.10821760
[4] Yu Z,Cheng C, Wen W, Guo W, Feng L, Action reinforcement and indication module for single-frame temporal action localization,2023 International Joint Conference on Neural Networks (IJCNN), 2023, DOI: 10.1109/IJCNN54540.2023.10191287
[5] Zhang Y,Cheng C, Chen T, Multi-channel physiological signal emotion recognition based on relieff feature selection, 2019 IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS), 2019, 725-730, DOI:10.1109/ICPADS47876.2019.00107
更多信息：
谷歌学术:https://scholar.google.com.hk/citations?hl=zh-CN&user=b21brckAAAAJ
ResearchGate:https://www.researchgate.net/profile/Cheng-Cheng-151/research
