Mingyue Niu

According to our database, Mingyue Niu authored at least 27 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

WavDepressionNet: Automatic Depression Level Prediction via Raw Speech Signals.

Mingyue Niu, Jianhua Tao, Yongwei Li, Yong Qin, Ya Li

IEEE Trans. Affect. Comput., 2024

2023

Dual Attention and Element Recalibration Networks for Automatic Depression Level Prediction.

Mingyue Niu, Ziping Zhao, Jianhua Tao, Ya Li, Björn W. Schuller

IEEE Trans. Affect. Comput., 2023

Multimodal Spatiotemporal Representation for Automatic Depression Level Detection.

Mingyue Niu, Jianhua Tao, Bin Liu, Jian Huang, Zheng Lian

IEEE Trans. Affect. Comput., 2023

2022

Selective Element and Two Orders Vectorization Networks for Automatic Depression Severity Diagnosis via Facial Changes.

Mingyue Niu, Ziping Zhao, Jianhua Tao, Ya Li, Björn W. Schuller

IEEE Trans. Circuits Syst. Video Technol., 2022

Deep learning for depression recognition with audiovisual cues: A review.

Lang He, Mingyue Niu, Prayag Tiwari, Pekka Marttinen, Rui Su, Jiewei Jiang, Chenguang Guo, Hongyu Wang, Songtao Ding, Zhongmin Wang, Xiaoying Pan, Wei Dang

Inf. Fusion, 2022

Depressioner: Facial dynamic representation for automatic depression level prediction.

Mingyue Niu, Lang He, Ya Li, Bin Liu

Expert Syst. Appl., 2022

Automatic Respiratory Sound Classification Via Multi-Branch Temporal Convolutional Network.

Ziping Zhao, Zhen Gong, Mingyue Niu, Jiali Ma, Haishuai Wang, Zixing Zhang, Ya Li

Proceedings of the IEEE International Conference on Acoustics, 2022

Automatic Depression Level Assessment from Speech By Long-Term Global Information Embedding.

Ya Li, Mingyue Niu, Ziping Zhao, Jianhua Tao

Proceedings of the IEEE International Conference on Acoustics, 2022

Csenet: Complex Squeeze-and-Excitation Network for Speech Depression Level Prediction.

Cunhang Fan, Zhao Lv, Shengbing Pei, Mingyue Niu

Proceedings of the IEEE International Conference on Acoustics, 2022

EEG Emotion Recognition Based on Self-attention Dynamic Graph Neural Networks.

Chao Li, Yong Sheng, Haishuai Wang, Mingyue Niu, Peiguang Jing, Ziping Zhao, Björn W. Schuller

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

A time-frequency channel attention and vectorization network for automatic depression level prediction.

Mingyue Niu, Bin Liu, Jianhua Tao, Qifei Li

Neurocomputing, 2021

Correction to: Semi-supervised Ladder Networks for Speech Emotion Recognition.

Jianhua Tao, Jian Huang, Ya Li, Zheng Lian, Mingyue Niu

Int. J. Autom. Comput., 2021

TDCA-Net: Time-Domain Channel Attention Network for Depression Detection.

Cong Cai, Mingyue Niu, Bin Liu, Jianhua Tao, Xuefei Liu

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Multi-Scale and Multi-Region Facial Discriminative Representation for Automatic Depression Level Prediction.

Mingyue Niu, Jianhua Tao, Bin Liu

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Expression Analysis Based on Face Regions in Real-world Conditions.

Zheng Lian, Ya Li, Jianhua Tao, Jian Huang, Mingyue Niu

Int. J. Autom. Comput., 2020

Multi-modal Continuous Dimensional Emotion Recognition Using Recurrent Neural Network and Self-Attention Mechanism.

Licai Sun, Zheng Lian, Jianhua Tao, Bin Liu, Mingyue Niu

Proceedings of the MuSe'20: Proceedings of the 1st International on Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop, 2020

Multimodal Transformer Fusion for Continuous Emotion Recognition.

Jian Huang, Jianhua Tao, Bin Liu, Zheng Lian, Mingyue Niu

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Micro-Expression Recognition Based on Multiple Aggregation Networks.

Wenxiang She, Zhao Lv, Jianhua Tao, Bin Liu, Mingyue Niu

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion.

Feihu Che, Dawei Zhang, Jianhua Tao, Mingyue Niu, Bocheng Zhao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Semi-supervised Ladder Networks for Speech Emotion Recognition.

Jianhua Tao, Jian Huang, Ya Li, Zheng Lian, Mingyue Niu

Int. J. Autom. Comput., 2019

Expression Analysis Based on Face Regions in Read-world Conditions.

Zheng Lian, Ya Li, Jianhua Tao, Jian Huang, Mingyue Niu

CoRR, 2019

Automatic Depression Level Detection via ℓ_p-Norm Pooling.

Mingyue Niu, Jianhua Tao, Bin Liu, Cunhang Fan

Proceedings of the Interspeech 2019, 2019

Discriminative Video Representation with Temporal Order for Micro-expression Recognition.

Mingyue Niu, Jianhua Tao, Ya Li, Jian Huang, Zheng Lian

Proceedings of the IEEE International Conference on Acoustics, 2019

Local Second-Order Gradient Cross Pattern for Automatic Depression Detection.

Mingyue Niu, Jianhua Tao, Bin Liu

Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2019

Efficient Modeling of Long Temporal Contexts for Continuous Emotion Recognition.

Jian Huang, Jianhua Tao, Bin Liu, Zhen Lian, Mingyue Niu

Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

2018

Deep Learning for Continuous Multiple Time Series Annotations.

Jian Huang, Ya Li, Jianhua Tao, Zheng Lian, Mingyue Niu, Minghao Yang

Proceedings of the 2018 on Audio/Visual Emotion Challenge and Workshop, 2018

Multimodal Continuous Emotion Recognition with Data Augmentation Using Recurrent Neural Networks.

Jian Huang, Ya Li, Jianhua Tao, Zheng Lian, Mingyue Niu, Minghao Yang

Proceedings of the 2018 on Audio/Visual Emotion Challenge and Workshop, 2018