Yiting Wang my pic

I am a PhD student at the Eye movement and Vision Lab , Karolinska Insitutet (KI) supervied by Dr.Mattias Nilsson, Prof.Wei-Long Zheng, and Prof.Tony Pansell. My research interests lie at the intersection of deep learning algorithm, multimodal learning and human physiological signals. The PhD project is funded by Promobilia Foundation and focused on using machine learning to understand fixational eye movements and their clinical relevance.

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.

Education

Karolinska Institutet

PhD student, Department of Clinical Neuroscience, Eye and Vision Division

Promobilia Fellowship; Eye movements & Deep Learning; Currently working on Explainable AI and Anomaly Detection

Shanghai Jiao Tong University

Research Intern, Center for Brain-like Computing and Machine Intelligence (BCMI)

Emotion Recognition & Brain-Computer Interface

Cornell University

Master, Electrical and Computer Engineering

Shanghai University

Bachelor, Electrical and Automation

Publications

2025

  • Yiting Wang, Mattias Nilsson. "Microsaccades as Indicators for Early-Stage Parkinson's Disease: An Explainable AI Approach" IEEE Transactions on Affective Computing

    PDF     Explainable AI, Microsaccades

2024

  • Yiting Wang, Jia-Wen Liu, Bao-Liang Lu, Wei-Long Zheng. "From EEG to Eye Movements: Cross-modal Emotion Recognition Using Constrained Adversarial Network with Dual Attention" IEEE Transactions on Affective Computing

    PDF     Cross-modal Emotion Recognition, Adversarial Network, Attention Mechanism

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

    PDF     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

    PDF     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

    PDF     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

    PDF     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

    PDF    EEG, Graph Convolutional Network, Emotion Recognition

Activities

Conference

Poster: ACM Symposium on Eye Tracking Research & Applications (ETRA)
Tokyo, Japan , 2025
Microsaccades as Indicators for Early-Stage Parkinson's Disease: An Explainable AI Approach

Oral: 22nd European Conference on Eye Movements (ECEM)
Dublin, Ireland, 2024
Identifying Early-stage Parkinson’s Disease from Eye Movements During Steady State Fixation



Peer Review

2025:Journal review for Acta Psychologica
2023, 2024:ACM International Conference on Multimedia (MM)



Funding

Travel Grant
MBC Travel Grant for ECEM 2024, Dublin, Ireland
Grant from Mrs Karin Sandqvist's Foundation for ETRA 2025, Tokyo, Japan

Project Funding
Regnér's foundation, 2024.12-2026.12