Dr. Guanhua Zhang (张冠华)

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I am an Applied Scientist at Zalando, working on fraud detection in transactions.

I achieved my PhD degree with magna cum laude in Feb 2025, from the Institute for Visualisation and Interactive Systems at University of Stuttgart, supervised by Prof. Dr. Andreas Bulling. I was also affiliated with the International Max Planck Research School for Intelligent Systems (IMPRS-IS), guided by the thesis advisory committee consisting of Prof. Andreas Bulling, Prof. Dr. Steffen Staab and Prof. Dr. Katherine J. Kuchenbecker.

I got my master’s degree in computer science and technology in June 2020, from Department of Computer Science and Technology at Tsinghua University, supervised by Prof. Yong-jin Liu, and a bachelor’s degree in computer science and technology in June 2017 from the School of Computer Science at Beijing University of Posts and Telecommunications.

My research interests are in applied machine learning, including user modeling, affective computing, and representation learning.

Selected Publications

  1. CHI’25
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    SummAct: Uncovering User Intentions Through Interactive Behaviour Summarisation
    Guanhua Zhang, Mohamed Ahmed, Zhiming Hu, and Andreas Bulling
    In Proc. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), 2025
    PDF
  2. UIST’24
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    DisMouse: Disentangling Information from Mouse Movement Data
    Guanhua Zhang, Zhiming Hu, and Andreas Bulling
    In Proc. ACM Symposium on User Interface Software and Technology (UIST), 2024
    PDF
  3. CHI’24
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    Mouse2Vec: Learning Reusable Semantic Representations of Mouse Behaviour
    Guanhua Zhang, Zhiming Hu, Mihai Bâce, and Andreas Bulling
    In Proc. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), 2024
    PDF
  4. INTERACT’23
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    Exploring Natural Language Processing Methods for Interactive Behaviour Modelling
    Guanhua Zhang, Matteo Bortoletto, Zhiming Hu, Lei Shi, Mihai Bâce, and Andreas Bulling
    In Proc. IFIP TC13 Conference on Human-Computer Interaction (INTERACT), 2023
    Nominated for Best Doctoral Student Paper Award PDF
  5. IEEE TAFFC
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    Emotion Dictionary Learning with Modality Attentions for Mixed Emotion Exploration
    Fang Liu, Pei Yang, Yezhi Shu, Fei Yan, Guanhua Zhang, and Yong-Jin Liu
    IEEE Transactions on Affective Computing (TAFFC, IF=11.2), 2023
    PDF
  6. CHI’22 Workshop
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    Predicting Next Actions and Latent Intents during Text Formatting
    Guanhua Zhang, Susanne Hindennach, Jan Leusmann, Felix Bühler, Benedict Steuerlein, Sven Mayer, Mihai Bâce, and Andreas Bulling
    In Proc. the CHI Workshop Computational Approaches for Understanding, Generating, and Adapting User Interfaces, 2022
    PDF
  7. MM’21
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    MultiMediate: Multi-modal Group Behaviour Analysis for Artificial Mediation
    Philipp Müller, Dominik Schiller, Dominike Thomas, Guanhua Zhang, Michael Dietz, Patrick Gebhard, Elisabeth André, and Andreas Bulling
    In Proc. ACM Multimedia (MM), 2021
    PDF
  8. IEEE TAFFC
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    SparseDGCNN: Recognizing Emotion from Multichannel EEG Signals
    Guanhua Zhang, Minjing Yu, Yong-Jin Liu, Guozhen Zhao, and Dan Zhang
    IEEE Transactions on Affective Computing (TAFFC, IF=11.2), 2021
    PDF
  9. IEEE TAFFC
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    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, and Hongan Wang
    IEEE Transactions on Affective Computing (TAFFC, IF=11.2), 2020
    PDF
  10. IEEE TAFFC
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    Multi-target Positive Emotion Recognition from EEG Signals
    Guozhen Zhao, Yulin Zhang, Guanhua Zhang, Dan Zhang, and Yong-Jin Liu
    IEEE Transactions on Affective Computing (TAFFC, IF=11.2), 2020
    PDF
  11. 中国科学:信息科学
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    A Review of EEG Features for Emotion Recognition (in Chinese)
    Guanhua Zhang, Minjing Yu, Guo Chen, Yiheng Han, Dan Zhang, Guozhen Zhao, and Yong-Jin Liu
    SCIENTIA SINICA Informationis, 2019
    2021 Hot Paper PDF

Academic Service

Reviewer CHI, UIST, IMWUT, MobileHCI, INTERACT, ETRA, CogSci, Cognitive Computation, VRIH
Organiser Multimediate Grand Challenge at ACM MM’23 ‘21
Program Committee EmoRec EEG Workshop at ACII’24
Student Volunteer ETRA’21