Room number

IDEG046

Position

Guest Researcher

Email

xinzhou.xu@njupt.edu.cn

Biography

Xinzhou Xu received the bachelor’s degree from Nanjing University of Posts and Telecommunications, Nanjing/China, in 2009, the master’s and the PhD degree from Southeast University, Nanjing/China, in 2012 and 2017, respectively. He is currently an Associate Professor with the School of Internet of Things, Nanjing University of Posts and Telecommunications, and a Visiting Researcher with the Signal Processing and Speech Communication Laboratory, Graz University of Technology, Graz/Austria. Previously, he was with the Machine Intelligence & Signal Processing group, MMK, Technical University of Munich (TUM), Munich/Germany (from 2014 to 2016), and the Chair of Complex and Intelligent Systems, the University of Passau, Passau/Germany (from 2015 to 2016), and the Chair of Embedded Intelligence for Health Care and Wellbeing, the University of Augsburg, Augsburg/Germany (in 2019 and 2023). He served as a Guest Editor for IEEE Transactions on Affective Computing in 2024. His research interests include intelligent signal processing, computational paralinguistics, audio signal processing, and affective computing.

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Publications

• Journal article Li Z., Wang Z., Xu X., Chen Y. & Schuller B. (2025) Unsupervised Domain-Adaptive Semantic Segmentation for Surgical Instruments Leveraging Dropout-Enhanced Dual Heads and Coarse-Grained Classification Branch. in IEEE Transactions on Medical Robotics and Bionics.
• Conference paper Xu W., Dong Z., Wang R., Xu X. & Zhang Z. (2025) Feature Selection and Expert Modeling in Multimodal Emotion Recognition. in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
• Journal article Sun Y., Zhou Y., Xu X., Qi J., Xu F., Ren Z. & Schuller B. (2025) Weakly-supervised depression detection in speech through self-learning based label correction. in IEEE/ACM Transactions on Audio, Speech, and Language Processing.
• Conference paper Ge Z., Xu X., Guo H., Yang Z. & Schuller B. (2025) GNCL: A graph neural network with consistency loss for segment-level spoofed speech detection. in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
• Journal article Yin Z., Xu X. & Schuller B. (2025) Request and complaint recognition in call-center speech using a pointwise-convolution recurrent network. in International Journal of Speech Technology.
• Journal article Chen Y., Xu X., Li Z., Wang Z. & Schuller B. (2024) Data-driven motion estimation for cable-driven end-effectors through parallel 1D-convolution and recurrent neural networks with attention. in Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.