曾虹

计算机科学与技术

人工智能、认知计算、脑机接口

•   曾虹，男，博士，杭州电子科技大学教授，意大利罗马第一大学访问学者（2019.01-2019.12），脑机协同智能技术国际联合研究中心（科技部）和浙江省脑机协同智能重点实验室骨干成员。                                     研究领域：主要研究兴趣为人工智能、机器学习、认知计算、脑机接口等。近年来，主持国家自然科学基金面上项目和科技部项目2项；主要参与包括国家自然科学基金两化融合项目、国家自然科学基金重点项目、浙江省科技计划项目重大专项等多个项目。在IEEE TNSRE、IEEE TIM、Neural Computing and Applications等重要期刊和会议上发表高水平论文50余篇，其中SCI收录30余篇，授权发明专利10余项。完成多项横向课题。

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联系方式：jivon@hdu.edu.cn

发表论文：

• (1) Zeng, H., Xia, N., Tao, M., Pan, D., Zheng, H., Wang, C., ... & Dai, G. (2023). DCAE: A dual conditional autoencoder framework for the reconstruction from EEG into image. Biomedical Signal Processing and Control, 81, 104440.

  (2) Zeng, H., Wu, Q., Jin, Y., Zheng, H., Li, M., Zhao, Y., ... & Kong, W. (2022). Siam-GCAN: a Siamese Graph Convolutional Attention Network for EEG Emotion Recognition. IEEE Transactions on Instrumentation and Measurement.

  (3) Zeng, H., & Zakaria, W. (2022). A new common spatial pattern-based unified channels algorithm for driver’s fatigue EEG signals classification. Neural Computing and Applications, 1-23.            (4) Zeng, H., Fang, X., Zhao, Y., Wu, J., Li, M., Zheng, H., ... & Dai, G. (2022). EMCI: A Novel EEG-Based Mental Workload Asses**ent Index of Mild Cognitive Impairment. IEEE Transactions on Biomedical Circuits and Systems.

• (5)Zeng H, Wang S, Zhou T, et al. ComplexContact: a web server for inter-protein contact prediction using deep learning[J]. Nucleic Acids Research, 2018, 46(W1).(TOP)

• (6) Zeng Hong, Dai Guojun, Kong Wanzeng, et al. A Novel Nonlinear Dynamic Method for Stroke Rehabilitation Effect Evaluation using EEG[J]. IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2017, 25(12):2488-2497.(一区)

  (7)Zhao, Y., Dai, G., Fang, X., Wu, Z., Xia, N., Jin, Y., & Zeng, H*. (2022). E3GCAPS: Efficient EEG-based multi-capsule framework with dynamic attention for cross-subject cognitive state detection. China Communications, 1                                                          (8) Zeng, H., Jin, Y., Wu, Q., Pan, D., Xu, F., Zhao, Y., ... & Kong, W. (2022). EEG-FCV: An EEG-Based Functional Connectivity Visualization Framework for Cognitive State Evaluation. Frontiers in Psychiatry, 13.                                                                    (9) Zhao, Y., Dai, G., Borghini, G., Zhang, J., Li, X., Zhang, Z., ... & Zeng, H*(2021). Label-Based Alignment Multi-Source Domain Adaptation for Cross-Subject EEG Fatigue Mental State Evaluation. Frontiers in Human Neuroscience, 546.                                         

• (10) Shen, F., Dai, G., Lin, G., Zhang, J., Kong, W., & Zeng, H. (Corresponding author) (2020). EEG-based emotion recognition using 4D convolutional recurrent neural network. Cognitive Neurodynamics, 1-14.