Karolinska Institutet
PhD student
Education
Cornell University
Master, Electrical and Computer Engineering
Shanghai University
Bachelor, Electrical and Automation
Yiting Wang
Yiting Wang 
I am a PhD student at the Eye movement and Vision Lab
, Karolinska Insitutet (KI) supervied by Dr.Mattias Nilsson and Prof.Tony Pansell.
My research interests lie at the intersection of deep learning algorithm, multimodal learning and human physiological signals. I'm currently working on identifying biomarker of fixational
eye movements for early-stage Parkinson's Disease with machine learning.
My Background is Electrical and Computer Engineering. Before starting the PhD, I did the research work about recognizing emotion states with electroencephalogram (EEG) and eye movement data at BCMI Lab
adviced by Prof.Bao-Liang Lu. Besides the research experience, I worked in Siemens Industry Software developing software NX in C++.
I finished the master at Cornell University and the bachelor at Shanghai University.
Publications
2023
- Zhang, Jian-Ming, Jiawen Liu, Ziyi Li, Tian-Fang Ma, Yiting Wang, Wei-Long Zheng, and Bao-Liang Lu. "Naturalistic Emotion Recognition Using EEG and Eye Movements" International Conference on Neural Information Processing. 2023
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Naturalistic Emotion Recognition, Multimodal Methods
2022
- Li, Rui, Yiting Wang, Wei-Long Zheng and Bao-Liang Lu. "A multi-view spectral-spatial-temporal masked autoencoder for decoding emotions with self-supervised learning" Proceedings of the 30th ACM International Conference on Multimedia (MM). 2022
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Self-supervised Learning, EEG reconstruction, Autoencoder - Li, Rui, Yiting Wang, Bao-Liang Lu. “Measuring decision confidence levels from EEG using a spectral-spatial-temporal adaptive graph convolutional neural network” International Conference on Neural Information Processing. 2022
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Decision Making, EEG
2021
- Yiting Wang, Weibang Jiang, Rui Li, Bao-Liang Lu. “Emotion Transformer Fusion: Complementary Representation Properties of EEG and Eye Movements on Recognizing Anger and Surprise.” IEEE BIBM 2021
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Multimodal Transformer, Eye movement, EEG - Li, Rui, Yiting Wang, and Bao-Liang Lu. "A Multi-Domain Adaptive Graph Convolutional Network for EEG-based Emotion Recognition." Proceedings of the 29th ACM International Conference on Multimedia (MM). 2021
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EEG, Graph Convolutional Network, Emotion Recognition
Activities
Conference Talk
22nd European Conference on Eye MovementsIdentifying Early-stage Parkinson’s Disease from Eye Movements During Steady State Fixation