Tianyi Zhang

Full Name

T. Zhang

Email

Tianyi.Zhang@cwi.nl

Phone

+31 20 592 4302

Room

M371

Department(s)

Distributed and Interactive Systems

Function(s)

PhD student

Tianyi Zhang

Bota, P., Zhang, T., El Ali, A., Fred, A., Silva, H., & César Garcia, P. S. (2023). Group synchrony for emotion recognition using physiological signals. IEEE Transactions on Affective Computing, 1–12. doi:10.1109/TAFFC.2023.3265433
Zhang, T. (2022, October 3). On fine-grained temporal emotion recognition in video : how to trade off recognition accuracy with annotation complexity?.
Xie, J., Chen, X., Zhang, T., Zhang, Y., Lu, S.-P., César Garcia, P. S., & Yang, Y. (2022). Multimodal-based and aesthetic-guided narrative video summarization. IEEE Transactions on Multimedia. doi:10.1109/TMM.2022.3183394
Zhang, T., El Ali, A., Hanjalic, A., & César Garcia, P. S. (2022). Few-shot learning for fine-grained emotion recognition using physiological signals. IEEE Transactions on Multimedia. doi:10.1109/TMM.2022.3165715
Zhang, T., El Ali, A., Wang, C., Hanjalic, A., & César Garcia, P. S. (2022). Weakly-supervised learning for fine-grained emotion recognition using physiological signals. IEEE Transactions on Affective Computing. doi:10.1109/TAFFC.2022.3158234
Xue, T., El Ali, A., Zhang, T., Ding, G., & César Garcia, P. S. (2021). CEAP-360VR: A Continuous Physiological and Behavioral Emotion Annotation Dataset for 360 VR Videos. doi:10.5281/zenodo.6136884
Xue, T., El Ali, A., Zhang, T., Ding, G., & César Garcia, P. S. (2021). CEAP-360VR: A continuous physiological and behavioral emotion annotation dataset for 360 VR Videos. doi:10.5281/zenodo.6143643
Xue, T., El Ali, A., Zhang, T., Ding, G., & César Garcia, P. S. (2021). CEAP-360VR: A Continuous Physiological and Behavioral Emotion Annotation Dataset for 360 VR videos. IEEE Transactions on Multimedia, 25, 243–255. doi:10.1109/TMM.2021.3124080
Furdui, A., Zhang, T., Worring, M., César Garcia, P. S., & El Ali, A. (2021). AC-WGAN-GP: Augmenting ECG and GSR Signals using Conditional Generative Models for Arousal Classification. In Adjunct Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the ACM International Symposium on Wearable Computers (pp. 21–22). doi:10.1145/3460418.3479301
Xue, T., El Ali, A., Zhang, T., Ding, G., & César Garcia, P. S. (2021). RCEA-360VR: Real-time, continuous emotion annotation in 360◦ VR videos for collecting precise viewport-dependent ground truth labels. In Proceedings of the Conference on Human Factors in Computing Systems (pp. 1–15). doi:10.1145/3411764.3445487