Education Background
• Sept.2015 - Mar. 2022 PhD. student in Computer Science, Department of Computer Science and Engineering, Shanghai Jiao Tong University.
• Sept.2011 - June.2015 Undergraduate student in Information Technology, University of Electronic Science and Technology of China.
Honors and Awards
• Excellent graduate of Sichuan province 2015
• Excellent graduation thesis of UESTC 2015
• Tang Linxin Scholarship in UESTC 2014
• National Scholarship in UESTC 2014
• First prize in the National Undergraduate Electronic Design Contest (Information Security Topic) 2014
• Third prize in the INTEL CUP UNDERGRADUATE ELECTRONIC DESIGN CONTEST 2014
• National Scholarship in UESTC 2013
• Top Grade Scholarship Of People in UESTC 2012
Publications
Yun Luo, Wei Liu, Hanqi Li, Yong Lu and Bao-Liang Lu, A cross-scenario and cross-subject domain adaptation method for driving fatigue detection. Journal of Neural Engineering, 21(4): 046004, 2024.[pdf][data]
Dan Peng, Wei Liu, Yun Luo, Ziyu Mao, Wei-Long Zheng, Bao-Liang Lu, Deep Depression Detection with Resting-State and Cognitive-Task EEG, EMBC 2023.
Yu-Ting Lan, Dan Peng, Wei Liu, Yun Luo, Ziyu Mao, Wei-Long Zheng, Bao-Liang Lu, Investigating Emotion EEG Patterns for Depression Detection with Attentive Simple Graph Convolutional Network, EMBC 2023.
Yun Luo, Bao-Liang Lu, Wasserstein-distance-based multi-source adversarial domain adaptation for emotion recognition and vigilance estimation, 2021 International Conference on Bioinformatics and Biomedicine, Online conference, 2021-12-09.[pdf]
Yun Luo, Li-Zhen Zhu, Zi-Yu Wan, Bao-Liang Lu, Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models. Journal of Neural Engineering, vol. 17, no. 5, 056021 (2020).[pdf][code]
Yingying Jiao, Yini Deng, Yun Luo, Bao-Liang Lu, Driver sleepiness detection from EEG and EOG signals using GAN and LSTM networks. Neurocomputing, 408: 100-111 (2020).
Lu Gan, Wei Liu, Yun Luo, Xun Wu, Bao-Liang Lu, A Cross-Culture Study on Multimodal Emotion Recognition Using Deep Learning. In: Gedeon T., Wong K., Lee M. (eds) Neural Information Processing. ICONIP 2019: 670-680.
Bo-Qun Ma, He Li, Yun Luo, Bao-Liang Lu, Depersonalized Cross-Subject Vigilance Estimation with Adversarial Domain Generalization, Proc. IJCNN 2019, Budabest.
Yun Luo, Li-Zhen Zhu, Bao-Liang Lu, A GAN-Based Data Augmentation Method for Multimodal Emotion Recognition. ISNN (1) 2019: 141-150.[pdf]
Yun Luo, Si-Yang Zhang, Wei-Long Zheng, Bao-Liang Lu: WGAN Domain Adaptation for EEG-Based Emotion Recognition. ICONIP (5) 2018: 275-286.[pdf]
Yun Luo, Bao-Liang Lu, EEG Data Augmentation for Emotion Recognition Using a Conditional Wasserstein GAN, in Proc IEEE EMBC2018.[pdf]
Jia-Jun Tong, Yun Luo, Bo-Qun Ma, Wei-Long Zheng, Bao-Liang Lu, Xiao-Qi Song, Shi-Wei Ma, Sleep Quality Estimation with Adversarial Domain Adaptation: From Laboratory to Real Scenario, in Proc. IEEE IJCNN2018. [pdf]
Links
· Shanghai Jiao Tong University
· Center for Brain-Like Computing and Machine Intelligence
· Department of Computer Science&Engineering
