Scholar
Zhao Ren
Google Scholar ID: Klrd5CQAAAAJ
Univeristy of Bremen
Citations & Impact
Citations
2,828
H-index
25
i10-index
46
Publications
20
Co-authors
33
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - Publications:
- * “STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition” accepted in IEEE TAFFC
- * “A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era” accepted and published in IEEE Computational Intelligence Magazine (IF 2023:10.3)
- * 3 papers accepted and orally presented in IEEE EMBC 2024
- * “More than spectrograms: Deep representation learning for machinery fault detection” accepted and published in Applied Acoustics
- * A paper accepted by the M3Oriental Workshop at ACM Multimedia Asia 2023
- * Two papers accepted by ITG 2023
- * Two papers accepted by IJCNN 2023
- * Three papers accepted by ICASSP 2023
- - Organized activities:
- * Call for paper: Audio-Inspired Methods for Healthcare, Cyborg and Bionic Systems, Submission Deadline: June 30, 2024
- * Workshop of Multimodal, Multilingual and Multitask Modeling Technologies for Oriental Languages (M3Oriental), in ACM Multimedia Asia 2023
- * Advances in Computer Audition for Mental Health Applications, co-organized in Frontiers in Digital Health, Frontiers in Psychiatry
- * Intelligent Audition Technologies for Personalized Healthcare, co-organized in Frontiers in Computer Science, Frontiers in Big Data, and Frontiers in Artificial Intelligence
- - Invited talks:
- * Intelligent Sensing Winter School, Centre for Intelligent Sensing, Queen Mary University of London, United Kingdom, virtual, 12.12.2022
Research Experience
- - Research Associate: Cognitive Systems Lab, University of Bremen, advised by Prof. Tanja Schultz
- - Research Associate: L3S Research Center, Leibniz Universität Hannover, supervised by Prof. Wolfgang Nejdl
Education
- - Ph.D.: University of Augsburg, Embedded Intelligence for Health Care and Wellbeing (EIHW), supervised by Prof. Björn W. Schuller, 2022
- - Master's degree: Northwestern Polytechnical University (NPU), China, Computer Science and Technology, 2017
- - Bachelor's degree: Northwestern Polytechnical University (NPU), China, Computer Science and Technology, 2013
Background
- Her research interests mainly lie in transfer learning, explainable AI, adversarial attacks, and other deep learning techniques for computer audition applications in healthcare and wellbeing. She has (co-)authored 40+ publications in peer-reviewed book chapters, journals, and conference proceedings, which have received 2k+ citations (h-index 23). She regularly reviews many journals, such as IEEE Transactions on Cybernetics, IEEE Transactions on Affective Computing, and IEEE Transactions on Multimedia, and conferences, like ICASSP, IJCNN, and EUSIPCO.
Miscellany
- No additional information provided.
