获奖情况:
发明专利:
[1] 李阳,罗美林,谭思瑞,面向癫痫脑电信号的特征提取与自动识别方法, 2018-3-2, 中国,ZL201510284550.5
[2] 李阳,崔渭刚,徐颂,王丽娜,一种基于多小波基函数和超正交前向回归的时频分析方法,中国,ZL201710914104.7
[3] 李阳,张越,一种基于深度多尺度注意力卷积神经网络视网膜眼底血管分割方法,中国,ZL202010960954.2
[4] 李阳,张先锐,雷梦颖,一种密集深度卷积神经网络的脑电信号快速识别方法,中国,ZL201810057413.1
[5] 李阳,郭亮晖,遇涛,基于深度卷积注意力网络的癫痫颅内脑电信号预警方法,中国,ZL202111029876.5
代表性论文:
Xiaoheng Zhang, Weigang Cui, Bin Hu, Yang Li*. "A Multi-level Alignment and Cross-Modal Unified Semantic Graph Refinement Network for Conversational Emotion Recognition",IEEE Transactions on Affective Computing, vol. 15, no. 3, 2024. (SCI, 影响因子:9.8, JCR: Q1)
Jingyu Liu, Weigang Cui, Yipeng Chen, Yulan Ma, Qunxi Dong*, Ran Cai, Yang Li*, and Bin Hu*, "Deep Fusion of Multi-Template using Spatio-Temporal Weighted Multi-Hypergraph Convolutional Networks for Brain Disease Analysis", IEEE Transactions on Medical Imaging, vol. 43, no. 2, 2024. (SCI, 影响因子:9.8, JCR: Q1)
Yang Li, Yue Zhang*, Jingyu Liu, Kang Wang, Gensheng Zhang*, Kai Zhang, Xiaofeng Liao, Guang Yang. "Global Transformer and Dual Local Attention Network via Deep-Shallow Hierarchical Feature Fusion for Retinal Vessel Segmentation", IEEE Transactions on Cybernetics, vol. 53, no. 9, pp. 5826-5839, 2023. (SCI, 影响因子:10.5, JCR: Q1) [Code: //github.com/YangLibuaa/GT-DLA-dsHFF]
Minyi Sun, Weigang Cui, Yue Zhang, Shuyue Yu, Xiaofeng Liao, Bin Hu, and Yang Li*. "Attention-Rectified and Texture-Enhanced Cross-Attention Transformer Feature Fusion Network for Facial Expression Recognition", IEEE Transactions on Industrial Informatics, vol. 19, no. 12, pp. 11823 - 11832, 2023. (SCI, 影响因子:9.9, JCR: Q1) [Code: //github.com/smy17/AR-TE-CATFFNet]
Lianghui Guo, Tao Yu, Shijie Zhao, Xiaoli Li, Xiaofeng Liao and Yang Li*, "CLEP: Contrastive Learning for Epileptic Seizure Prediction Using a Spatio-Temporal-Spectral Network", IEEE Transactions on Neural Systems & Rehabilitation Engineering, vol. 31, pp. 3915-3926, 2023. (SCI, 影响因子:5.2, JCR: Q1) [Code: //github.com/LianghuiGuo/CLEP-STS-Net]