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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 representation learning, user behaviour and intention modelling, and affective computing.


Teaching

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

Supervision

2022
behavior2vec: Learning Non-verbal Behavior Embeddings for Self-reported Personality Detection from Multimodal Group Interaction Data (M.Sc.) Eileen Wemmer
 
Intent Prediction from Gaze during Text Formatting (HiWi Project) Xuefeng Hou
2021
Multimodal Personality Synthesis on 3D Avatars (B.Sc.) Jiaxuan He
 
Hyperdimensional Computing-based Prediction of Personality Traits Using Multimodal Data (InfoTech Project) Nithyasree Pushpalatha
 
Group-Level Personality Analysis and Detection (M.Sc.) Anandavalli Veerasubramanian

Open Thesis Projects

 
Personality Recognition from Mouse and Keyboard Dynamics under Label ScarcityMaster/Bachelor
 
Detecting Personality during Group Interactions from Multimodal BehaviorsMaster/Bachelor
 
Learning Representations from Gaze DynamicsMaster/Bachelor

Publications

  1. Predicting Next Actions and Latent Intents during Text Formatting

    Predicting Next Actions and Latent Intents during Text Formatting

    Guanhua Zhang, Susanne Hindennach, Jan Leusmann, Felix Bühler, Benedict Steuerlein, Sven Mayer, Mihai Bâce, Andreas Bulling

    Proceedings of the CHI Workshop Computational Approaches for Understanding, Generating, and Adapting User Interfaces, pp. 1–6, 2022.

    Abstract Links BibTeX Project

  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), pp. 4878–4882, 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 2021 Hot Paper