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Biography

Guanhua Zhang is a PhD student in the Perceptual User Interfaces group since September 2020 and in the International Max Planck Research School for Intelligent Systems (IMPRS-IS) since February 2021. She holds a Bachelor’s degree in Computer Science and Technology from Beijing University of Posts and Telecommunications and a Master’s degree in Computer Science and Technology from Tsinghua University. Her research interests include affective computing, wearable interaction and deep learning.


Teaching

2021
Machine Learning and Computer Vision for HCI (Fachpraktikum)Master
2020
Machine Learning Approaches to Understanding User Behavior (Hauptseminar)Master

Supervision

2021
Multimodal personality synthesis on 3D avatars (B.Sc.) Jiaxuan He
 
Hyperdimensional computing-based prediction of personality traits (...) (InfoTech Project) Nithyasree Pushpalatha
 
Group-Level Personality Analysis and Detection (M.Sc.) Anandavalli Veerasubramanian

Publications

  1. SparseDGCNN: Recognizing Emotion from Multichannel EEG Signals

    Guanhua Zhang, Minjing Yu, Yong-Jin Liu, Guozhen Zhao, Dan Zhang

    IEEE Transactions on Affective Computing (TAFFC), , pp. 1–12, 2021.

    Abstract Links BibTeX Project

  1. MultiMediate: Multi-modal Group Behaviour Analysis for Artificial Mediation

    MultiMediate: Multi-modal Group Behaviour Analysis for Artificial Mediation

    Philipp Müller, Dominik Schiller, Dominike Thomas, Guanhua Zhang, Michael Dietz, Patrick Gebhard, Elisabeth André, Andreas Bulling

    Proc. ACM Multimedia (MM) - Introduction to challenge papers, pp. 1–6, 2021.

    Abstract Links BibTeX Project

  1. Multi-target Positive Emotion Recognition from EEG Signals

    Guozhen Zhao, Yulin Zhang, Guanhua Zhang, Dan Zhang, Yong-Jin Liu

    IEEE Transactions on Affective Computing (TAFFC), , pp. 1-13, 2020.

    Abstract Links BibTeX Project

  2. An Efficient LSTM Network for Emotion Recognition from Multichannel EEG Signals

    Xiaobing Du, Cuixia Ma, Guanhua Zhang, Jinyao Li, Yu-Kun Lai, Guozhen Zhao, Xiaoming Deng, Yong-Jin Liu, Hongan Wang

    IEEE Transactions on Affective Computing (TAFFC), , pp. 1-12, 2020.

    Abstract Links BibTeX Project

  1. A Review of EEG Features for Emotion Recognition (in Chinese)

    A Review of EEG Features for Emotion Recognition (in Chinese)

    Guanhua Zhang, Minjing Yu, Guo Chen, Yiheng Han, Dan Zhang, Guozhen Zhao, Yong-Jin Liu

    SCIENTIA SINICA Informationis, 49(9), pp. 1097-1118, 2019.

    Abstract Links BibTeX Project