李阳

个人信息:Personal Information

副教授 研究生导师

性别:男

毕业院校:东南大学

学历:博士研究生毕业

学位:工学博士学位

在职信息:在岗

所在单位:人工智能学院

入职时间:2020-06-22

学科:计算机科学与技术

办公地点:南校区网络安全创新研究大楼CII区

联系方式:liy[at]xidian[dot]edu[dot]cn

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个人简介:Personal Profile

李阳,男,现为西安电子科技大学人工智能学院副教授,硕士生导师。2020年3月在东南大学信息科学与工程学院获工学博士学位。2018年8月至2019年8月,作为联合培养博士生受国家留学基金委资助在澳大利亚伍伦贡大学访问学习。主要研究领域为情感计算、脑机混合智能、模式识别。在国际主流期刊和会议(IEEE-TAFFC、IEEE-TBME、IEEE-TCDS、IJCAI等)发表论文20余篇,4篇入选ESI高被引论文,谷歌引用2100余次。入选2024年斯坦福大学-爱思唯尔发布的“全球前2%顶尖科学家年度科学影响力“榜单。先后担任TAFFC,TNNLS,TCDS,PR,NC,KNOSYS和AIRE等国际主流期刊的审稿人。主持包括国家自然科学基金、陕西省自然科学基金、中国博士后基金特别资助、面上项目、国家有关部门项目等。指导学生获得互联网+省级银奖,研电赛全国总决赛三等奖等国家及省部级奖项5项,获优秀指导教师3项。



欢迎报考2025年硕士研究生!保研请尽(不)早(要)联(鸽)系(我)!

招生方向:智能科学与技术(本部)、电子信息(本部)、新一代电子信息技术(广州)、计算机技术(广州)

目前还有名额(包括卓越工程师学院即广州研究院),如感兴趣,请与我联系。


研究方向:


脑机混合智能、脑机接口(BCI)、情感计算、模式识别、计算机视觉



发表论文:

[1]    Boxun Fu, Fu Li, Youshuo Ji, Yang Li, Xuemei Xie, Xiaoli Li, "Improved Motor Imagery EEG Interdevice Decoding by Reweighting Multisource Domain Samples," IEEE Transactions on Instrumentation and Measurement, vol. 73, pp. 1-12, Art no. 2516812, 2024.

[2]    Youshuo Ji, Fu Li, Boxun Fu, Yijin Zhou, Hao Wu, Yang Li, Xiaoli Li, and Guangming Shi, "A novel hybrid decoding neural network for EEG signal representation[J]", Pattern Recognitionvol. 155, pp. 110726, 2024.

[3]    Yang Li, Ji Chen, Fu Li, Boxun Fu, Hao Wu, Youshuo Ji, Yijin Zhou, Yi Niu, Guangming Shi, and Wenming Zheng, “GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition[J],” IEEE Transactions on Affective Computing, vol. 14, no. 3, pp. 2512-2525, 2023. ESI高被引论文

[4]    Tengfei Song, Suyuan Liu, Wenming Zheng, Yuan Zong, Zhen Cui, Yang Li, Xiaoyan Zhou, “Variational Instance-Adaptive Graph for EEG Emotion Recognition[J]”, IEEE Transactions on Affective Computing, vol. 14, no. 1, pp. 343-356, 2023.

[5]    Boxun Fu, Fu Li, Youshuo Ji, Yang Li, Xuemei Xie and Guangming Shi, “SCDAN: Learning Common Feature Representation of Brain Activation for Inter-Subject Motor Imagery EEG Decoding[J]”, IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-15, Art no. 2518315, 2023.

[6]    Yang Li, Wenming Zheng, Lei Wang, Yuan Zong, and Zhen Cui, “From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition[J]”, IEEE Transactions on Affective Computing, vol. 13, no. 2, pp. 568-578, 2022. ESI高被引论文

[7]    Fu Li, Chong Wang, Yang Li*, Hao Wu, Boxun Fu, Youshuo Ji, Yi Niu, and Guangming Shi, “Phase Preservation Neural Network for Electroencephalography Classification in Rapid Serial Visual Presentation Task[J]”, IEEE Transactions on Biomedical Engineering, vol. 69, no. 6, pp. 1931-1942, 2022.

[8]    Tengfei Song, Wenming Zheng, Suyuan Liu, Yuan Zong, Zhen Cui and Yang Li, “Graph-Embedded Convolutional Neural Network for Image-based EEG Emotion Recognition[J],” IEEE Transactions on Emerging Topics in Computing, vol. 10, no. 3, pp. 1399-1413, 2022.

[9]    Cheng Lu, Yuan Zong, Wenming Zheng, Yang Li, Chuangao Tang, and Bjorn Schuller. “Domain Invariant Feature Learning for Speaker-independent Speech Emotion Recognition[J],” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.30, pp.2217-2230, 2022.

[10] Yang Li, Wenming Zheng, Yuan Zong, Zhen Cui, Tong Zhang, and Xiaoyan Zhou, “A Bi-hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition[J]”, IEEE Transactions on Affective Computing, vol. 12, no. 2, pp. 494-504, 2021. ESI高被引论文

[11] Yang Li, Lei Wang, Wenming Zheng, Yuan Zong, Lei Qi, Zhen Cui, Tong Zhang, and Tengfei Song, “A Novel Bi-hemispheric Discrepancy Model for EEG Emotion Recognition[J]”, IEEE Transactions on Cognitive and Developmental Systems, vol. 13, no. 2, pp. 354-367, 2021.

[12] Tong Zhang, Wenming Zheng, Zhen Cui, Yuan Zong, and Yang Li, “Spatio-Temporal Recurrent Neural Network for Emotion Recognition[J]”, IEEE Transactions on Cybernetics, vol. 49, no. 3, pp. 839-847, 2019. ESI高被引论文

[13] Yang Li, Wenming Zheng, Zhen Cui, Tong Zhang, and Yuan Zong, “A Novel Neural Network Model based on Cerebral Hemispheric Asymmetry for EEG Emotion Recognition[C]”, International Joint Conference on Artificial Intelligence (IJCAI), pp. 1561-1567, 2018.

[14]    Yijin Zhou, Fu Li, Yang Li*, Youshuo Ji, Guangming Shi, Wenming Zheng, Lijian Zhang, Yuanfang Chen, Rui Cheng, “Progressive graph convolution network for EEG emotion recognition [J]”, Neurocomputing, vol. 544, pp 126262, 2023. (DOI: 10.1016/j.neucom.2023.126262)

[15]    Fu Li, Hongxin Li, Yang Li*, Hao Wu, Boxun Fu, Youshuo Ji, Chong Wang, and Guangming Shi, “Decoupling Representation Learning for Imbalanced Electroencephalography Classification in Rapid Serial Visual Presentation Task[J]”, Journal of Neural Engineering, vol. 19, no. 3, pp. 036011, 2022.

[16]    Youshuo Ji, Fu Li, Yang Li, Boxun Fu, Yi Niu, Yuanfang Chen and Guangming Shi, “Spatial-temporal Network for Fine-grained-level Emotion EEG Recognition[J]”, Journal of Neural Engineering, vol. 19, no. 3, pp. 036017, 2022

[17]    Boxun Fu, Fu Li, Yi Niu, Hao Wu, Yang Li, Guangming Shi. "Conditional Generative Adversarial Network For EEG-based Emotion Fine-Grained Estimation and Visualization[J]", Journal of Visual Communication and Image Representation, vol. 74, 2021.

[18]    Yang Li, Boxun Fu, Fu Li, Guangming Shi, Wenming Zheng, "A Novel Transferability Attention Neural Network Model for EEG Emotion Recognition[J]", Neurocomputing, vol. 447, pp. 92-101, 2021.

[19]    Fu Li, Weibing Chao, Yang Li*, Boxun Fu, Youshuo Ji, Hao Wu and Guangming Shi, “Decoding Imagined Speech from EEG Signals using Hybrid-Scale Spatial-Temporal Dilated Convolution Network[J]”, Journal of Neural Engineering, vol. 18, no. 4, pp. 0460c4, 2021.

[20]    Yang Li, Wenming Zheng, Zhen Cui, and Yuan Zong, “EEG Emotion Recognition Based on Graph Regularized Sparse Linear Discriminant Analysis[J]”, Neural Processing Letters, vol. 49, no. 2, pp. 555-571, 2019.

[21]    Yang Li, Wenming Zheng, Zhen Cui, and Tong Zhang, “Face Recognition based on Recurrent Regression Neural Network[J]”, Neurocomputing, vol. 297, pp 50-58, 2018.

[22]    Chuangao Tang, Wenming Zheng, Jingwei Yan, Qiang Li, Yang Li, Tong Zhang, and Zhen Cui, “View-independent Facial Action Detection[C]”, IEEE 12th International Conference on Automatic Face & Gesture Recognition (FG), pp. 878-882, 2017.竞赛冠军

[23] Yang Li, Wenming Zheng, Zhen Cui, and Xiaoyan Zhou, “A Novel Graph Regularized Sparse Linear Discriminant Analysis Model for EEG Emotion Recognition[C]”, International Conference on Neural Information Processing (ICONIP), pp. 175-182, 2016.


  • 教育经历Education Background
  • 工作经历Work Experience
  • 研究方向Research Focus
  • 社会兼职Social Affiliations
  • 脑机混合智能
  • 情感计算
  • 脑电信号处理
  • 计算机视觉

团队成员Research Group

智能工程系

本人隶属人工智能学院石光明教授团队。http://web.xidian.edu.cn/gmshi/