Ziping Zhao
Orcid: 0000-0002-8719-6389Affiliations:
- Tianjin Normal University, College of Computer and Information Engineering, China
- University of Augsburg, Germany
- Nankai University (NKU), Tianjin, China (PhD 2008)
According to our database1,
Ziping Zhao
authored at least 47 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Multi-view domain-adaptive representation learning for EEG-based emotion recognition.
Inf. Fusion, April, 2024
2023
Dual Attention and Element Recalibration Networks for Automatic Depression Level Prediction.
IEEE Trans. Affect. Comput., 2023
Hierarchical Network with Decoupled Knowledge Distillation for Speech Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023
2022
Selective Element and Two Orders Vectorization Networks for Automatic Depression Severity Diagnosis via Facial Changes.
IEEE Trans. Circuits Syst. Video Technol., 2022
Predicting the Epidemics Trend of COVID-19 Using Epidemiological-Based Generative Adversarial Networks.
IEEE J. Sel. Top. Signal Process., 2022
J. Database Manag., 2022
Proceedings of the 13th International Symposium on Chinese Spoken Language Processing, 2022
Automatic Respiratory Sound Classification Via Multi-Branch Temporal Convolutional Network.
Proceedings of the IEEE International Conference on Acoustics, 2022
Automatic Depression Level Assessment from Speech By Long-Term Global Information Embedding.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Virtual Real. Intell. Hardw., 2021
Frustration recognition from speech during game interaction using wide residual networks.
Virtual Real. Intell. Hardw., 2021
IEEE Signal Process. Mag., 2021
Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition.
Neural Networks, 2021
FER by Modeling the Conditional Independence between the Spatial Cues and the Spatial Attention Distributions.
Proceedings of the ICMI '21 Companion: Companion Publication of the 2021 International Conference on Multimodal Interaction, Montreal, QC, Canada, October 18, 2021
Hierarchical Attention-Based Temporal Convolutional Networks for Eeg-Based Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the EITCE 2021: 5th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, October 22, 2021
2020
End-to-End Automatic Pronunciation Error Detection Based on Improved Hybrid CTC/Attention Architecture.
Sensors, 2020
Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders.
IEEE J. Sel. Top. Signal Process., 2020
Exploring temporal representations by leveraging attention-based bidirectional LSTM-RNNs for multi-modal emotion recognition.
Inf. Process. Manag., 2020
Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning.
Comput. Intell. Neurosci., 2020
Proceedings of the Interspeech 2020, 2020
Hierarchical Component-attention Based Speaker Turn Embedding for Emotion Recognition.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Exploring Spatial-Temporal Representations for fNIRS-based Intimacy Detection via an Attention-enhanced Cascade Convolutional Recurrent Neural Network.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Learning Higher Representations from Bioacoustics: A Sequence-to-Sequence Deep Learning Approach for Bird Sound Classification.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Exploring Deep Spectrum Representations via Attention-Based Recurrent and Convolutional Neural Networks for Speech Emotion Recognition.
IEEE Access, 2019
Proceedings of the 2019 IEEE World Congress on Services, 2019
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition.
Proceedings of the 9th International on Audio/Visual Emotion Challenge and Workshop, 2019
Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition.
Proceedings of the Interspeech 2019, 2019
A Hierarchical Attention Network-Based Approach for Depression Detection from Transcribed Clinical Interviews.
Proceedings of the Interspeech 2019, 2019
Proceedings of the Interspeech 2019, 2019
Analysing and Inferring of Intimacy Based on fNIRS Signals and Peripheral Physiological Signals.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the Computational Science - ICCS 2019, 2019
Audiovisual Analysis for Recognising Frustration during Game-Play: Introducing the Multimodal Game Frustration Database.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019
Combining Gated Convolutional Networks and Self-Attention Mechanism for Speech Emotion Recognition.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2019
2018
Exploring Spatio-Temporal Representations by Integrating Attention-based Bidirectional-LSTM-RNNs and FCNs for Speech Emotion Recognition.
Proceedings of the Interspeech 2018, 2018
Research on feature fusion for emotion recognition based on discriminative canonical correlation analysis.
Proceedings of 2018 International Conference on Mathematics and Artificial Intelligence, 2018
2017
Proceedings of the Data Science, 2017
2015
Active learning for the prediction of prosodic phrase boundaries in Chinese speech synthesis systems using conditional random fields.
Proceedings of the 16th IEEE/ACIS International Conference on Software Engineering, 2015
2013
Proceedings of the 14th ACIS International Conference on Software Engineering, 2013
2011
Semi Supervised Learning for Prediction of Prosodic Phrase Boundaries in Chinese TTS Using Conditional Random Fields.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
2009
Prediction of Prosodic Phrase Boundaries in Chinese TTS Based on Conditional Random Fields and Transformation Based Learning.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
2007
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007
A Maximum Entropy Markov Model for Prediction of Prosodic Phrase Boundaries in Chinese TTS.
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007