Guanhua Zhang (张冠华)
I am now a PhD student in the Perceptual User Interfaces group, Institute for Visualisation and Interactive Systems at University of Stuttgart, supervised by Prof. Andreas Bulling since September 2020. I also joined the International Max Planck Research School for Intelligent Systems (IMPRS-IS) since February 2021, guided by the thesis advisory committee consisting of Prof. Andreas Bulling, Prof. Steffen Staab and Prof. Katherine J. Kuchenbecker.
I got my master’s degree in computer science and technology from Department of Computer Science and Technology at Tsinghua University, supervised by Prof. Yong-jin Liu in June 2020, and a bachelor’s degree in computer science and technology from the School of Computer Science at Beijing University of Posts and Telecommunications in June 2017.
My research interests are in HCI+AI, including computational interaction, affective computing, and representation learning.
Publications
- CHI’24Mouse2Vec: Learning Reusable Semantic Representations of Mouse BehaviourIn Proc. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), 2024
- INTERACT’23Exploring Natural Language Processing Methods for Interactive Behaviour ModellingIn Proc. IFIP TC13 Conference on Human-Computer Interaction (INTERACT), 2023Nominated for Best Doctoral Student Paper Award PDF
- IEEE TAFFCEmotion Dictionary Learning with Modality Attentions for Mixed Emotion ExplorationIEEE Transactions on Affective Computing (TAFFC, IF=11.2), 2023
- CHI’22 WorkshopPredicting Next Actions and Latent Intents during Text FormattingIn Proc. the CHI Workshop Computational Approaches for Understanding, Generating, and Adapting User Interfaces, 2022
- MM’21MultiMediate: Multi-modal Group Behaviour Analysis for Artificial MediationIn Proc. ACM Multimedia (MM), 2021
- IEEE TAFFCSparseDGCNN: Recognizing Emotion from Multichannel EEG SignalsIEEE Transactions on Affective Computing (TAFFC, IF=11.2), 2021
- IEEE TAFFCAn Efficient LSTM Network for Emotion Recognition from Multichannel EEG SignalsIEEE Transactions on Affective Computing (TAFFC, IF=11.2), 2020
- IEEE TAFFCMulti-target Positive Emotion Recognition from EEG SignalsIEEE Transactions on Affective Computing (TAFFC, IF=11.2), 2020
- 中国科学:信息科学A Review of EEG Features for Emotion Recognition (in Chinese)SCIENTIA SINICA Informationis, 20192021 Hot Paper PDF
Academic Service
Reviewer | CHI’24 ‘23 ‘22, UIST’24 23, MobileHCI’23, INTERACT’23, ETRA’24 ‘22, VRIH |
---|---|
Organiser | Multimediate Grand Challenge at ACM MM’23 ‘21 |
Student Volunteer | ETRA’21 |