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Ziping Zhao
Ziping Zhao
Tianjin Normal University
Bestätigte E-Mail-Adresse bei tjnu.edu.cn
Titel
Zitiert von
Zitiert von
Jahr
AVEC 2019 workshop and challenge: state-of-mind, detecting depression with AI, and cross-cultural affect recognition
F Ringeval, B Schuller, M Valstar, N Cummins, R Cowie, L Tavabi, ...
Proceedings of the 9th International on Audio/visual Emotion Challenge and …, 2019
2692019
Exploring temporal representations by leveraging attention-based bidirectional LSTM-RNNs for multi-modal emotion recognition
C Li, Z Bao, L Li, Z Zhao
Information Processing & Management 57 (3), 102185, 2020
1442020
Exploring deep spectrum representations via attention-based recurrent and convolutional neural networks for speech emotion recognition
Z Zhao, Z Bao, Y Zhao, Z Zhang, N Cummins, Z Ren, B Schuller
IEEE Access 7, 97515-97525, 2019
1042019
A multiple mobile robots path planning algorithm based on A-star and Dijkstra algorithm
Z Zhang, Z Zhao
International Journal of Smart Home 8 (3), 75-86, 2014
1042014
Exploring spatio-temporal representations by integrating attention-based bidirectional-LSTM-RNNs and FCNs for speech emotion recognition
Z Zhao, Y Zheng, Z Zhang, H Wang, Y Zhao, C Li
792018
Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition
Z Zhao, Q Li, Z Zhang, N Cummins, H Wang, J Tao, BW Schuller
Neural Networks 141, 52-60, 2021
782021
Automatic assessment of depression from speech via a hierarchical attention transfer network and attention autoencoders
Z Zhao, Z Bao, Z Zhang, J Deng, N Cummins, H Wang, J Tao, B Schuller
IEEE Journal of Selected Topics in Signal Processing 14 (2), 423-434, 2019
672019
Attention-enhanced connectionist temporal classification for discrete speech emotion recognition
Z Zhao, Z Bao, Z Zhang, N Cummins, H Wang, B Schuller
662019
Deep spectrum feature representations for speech emotion recognition
Z Zhao, Y Zhao, Z Bao, H Wang, Z Zhang, C Li
Proceedings of the Joint Workshop of the 4th Workshop on Affective Social …, 2018
542018
End-to-end automatic pronunciation error detection based on improved hybrid ctc/attention architecture
L Zhang, Z Zhao, C Ma, L Shan, H Sun, L Jiang, S Deng, C Gao
Sensors 20 (7), 1809, 2020
512020
A hierarchical attention network-based approach for depression detection from transcribed clinical interviews
A Mallol-Ragolta, Z Zhao, L Stappen, N Cummins, B Schuller
472019
Classification of lung nodules based on deep residual networks and migration learning
P Wu, X Sun, Z Zhao, H Wang, S Pan, B Schuller
Computational intelligence and neuroscience 2020, 2020
462020
Hierarchical attention transfer networks for depression assessment from speech
Z Zhao, Z Bao, Z Zhang, N Cummins, H Wang, B Schuller
ICASSP 2020-2020 IEEE international conference on acoustics, speech and …, 2020
422020
Hybrid network feature extraction for depression assessment from speech
Z Zhao, Q Li, N Cummins, B Liu, H Wang, J Tao, B Schuller
352020
Self-attention transfer networks for speech emotion recognition
Z Zhao, K Wang, Z Bao, Z Zhang, N Cummins, S Sun, H Wang, J Tao, ...
Virtual Reality & Intelligent Hardware 3 (1), 43-54, 2021
272021
Audiovisual analysis for recognising frustration during game-play: introducing the multimodal game frustration database
M Song, Z Yang, A Baird, E Parada-Cabaleiro, Z Zhang, Z Zhao, ...
2019 8th International conference on affective computing and intelligent …, 2019
272019
Autism screening using deep embedding representation
H Wang, L Li, L Chi, Z Zhao
Computational Science–ICCS 2019: 19th International Conference, Faro …, 2019
222019
Hierarchical attention-based temporal convolutional networks for eeg-based emotion recognition
C Li, B Chen, Z Zhao, N Cummins, BW Schuller
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
192021
Frustration recognition from speech during game interaction using wide residual networks
M Song, A Mallol-Ragolta, E Parada-Cabaleiro, Z Yang, S Liu, Z Ren, ...
Virtual Reality & Intelligent Hardware 3 (1), 76-86, 2021
192021
Predicting the epidemics trend of COVID-19 using epidemiological-based generative adversarial networks
H Wang, G Tao, J Ma, S Jia, L Chi, H Yang, Z Zhao, J Tao
IEEE Journal of Selected Topics in Signal Processing 16 (2), 276-288, 2022
172022
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