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2020 – today
- 2024
[j13]Mingyue Niu
, Ming Li, Changzeng Fu:
PointTransform Networks for automatic depression level prediction via facial keypoints. Knowl. Based Syst. 297: 111951 (2024)- [j12]Mingyue Niu, Jianhua Tao, Yongwei Li, Yong Qin, Ya Li:
WavDepressionNet: Automatic Depression Level Prediction via Raw Speech Signals. IEEE Trans. Affect. Comput. 15(1): 285-296 (2024) - [j11]Shiqing Zhang, Xingnan Zhang, Xiaoming Zhao, Jiangxiong Fang, Mingyue Niu, Ziping Zhao, Jun Yu, Qi Tian:
MTDAN: A Lightweight Multi-Scale Temporal Difference Attention Networks for Automated Video Depression Detection. IEEE Trans. Affect. Comput. 15(3): 1078-1089 (2024) - [j10]Mingyue Niu, Ya Li, Jianhua Tao, Xiuzhuang Zhou, Björn W. Schuller:
DepressionMLP: A Multi-Layer Perceptron Architecture for Automatic Depression Level Prediction via Facial Keypoints and Action Units. IEEE Trans. Circuits Syst. Video Technol. 34(9): 8924-8938 (2024) - 2023
- [j9]Mingyue Niu, Jianhua Tao, Bin Liu, Jian Huang, Zheng Lian:
Multimodal Spatiotemporal Representation for Automatic Depression Level Detection. IEEE Trans. Affect. Comput. 14(1): 294-307 (2023) - [j8]Mingyue Niu, Ziping Zhao, Jianhua Tao, Ya Li, Björn W. Schuller:
Dual Attention and Element Recalibration Networks for Automatic Depression Level Prediction. IEEE Trans. Affect. Comput. 14(3): 1954-1965 (2023) - 2022
- [j7]Mingyue Niu, Lang He, Ya Li, Bin Liu:
Depressioner: Facial dynamic representation for automatic depression level prediction. Expert Syst. Appl. 204: 117512 (2022) - [j6]Lang He, Mingyue Niu, Prayag Tiwari, Pekka Marttinen, Rui Su, Jiewei Jiang, Chenguang Guo, Hongyu Wang, Songtao Ding, Zhongmin Wang, Xiaoying Pan, Wei Dang:
Deep learning for depression recognition with audiovisual cues: A review. Inf. Fusion 80: 56-86 (2022) - [j5]Mingyue Niu, Ziping Zhao, Jianhua Tao, Ya Li, Björn W. Schuller:
Selective Element and Two Orders Vectorization Networks for Automatic Depression Severity Diagnosis via Facial Changes. IEEE Trans. Circuits Syst. Video Technol. 32(11): 8065-8077 (2022) - [c16]Chao Li, Yong Sheng, Haishuai Wang, Mingyue Niu, Peiguang Jing, Ziping Zhao, Björn W. Schuller:
EEG Emotion Recognition Based on Self-attention Dynamic Graph Neural Networks. EMBC 2022: 292-296 - [c15]Cunhang Fan, Zhao Lv, Shengbing Pei, Mingyue Niu:
Csenet: Complex Squeeze-and-Excitation Network for Speech Depression Level Prediction. ICASSP 2022: 546-550 - [c14]Ya Li, Mingyue Niu, Ziping Zhao, Jianhua Tao:
Automatic Depression Level Assessment from Speech By Long-Term Global Information Embedding. ICASSP 2022: 8507-8511 - [c13]Ziping Zhao, Zhen Gong, Mingyue Niu, Jiali Ma, Haishuai Wang, Zixing Zhang, Ya Li:
Automatic Respiratory Sound Classification Via Multi-Branch Temporal Convolutional Network. ICASSP 2022: 9102-9106 - 2021
- [j4]Jianhua Tao, Jian Huang, Ya Li, Zheng Lian, Mingyue Niu:
Correction to: Semi-supervised Ladder Networks for Speech Emotion Recognition. Int. J. Autom. Comput. 18(4): 680 (2021) - [j3]Mingyue Niu, Bin Liu, Jianhua Tao, Qifei Li:
A time-frequency channel attention and vectorization network for automatic depression level prediction. Neurocomputing 450: 208-218 (2021) - [c12]Mingyue Niu, Jianhua Tao, Bin Liu:
Multi-Scale and Multi-Region Facial Discriminative Representation for Automatic Depression Level Prediction. ICASSP 2021: 1325-1329 - [c11]Cong Cai, Mingyue Niu, Bin Liu, Jianhua Tao, Xuefei Liu:
TDCA-Net: Time-Domain Channel Attention Network for Depression Detection. Interspeech 2021: 2511-2515 - [i2]Lang He, Mingyue Niu, Prayag Tiwari, Pekka Marttinen, Rui Su, Jiewei Jiang, Chenguang Guo, Hongyu Wang, Songtao Ding, Zhongmin Wang, Wei Dang, Xiaoying Pan:
Deep Learning for Depression Recognition with Audiovisual Cues: A Review. CoRR abs/2106.00610 (2021) - 2020
- [j2]Zheng Lian, Ya Li, Jianhua Tao, Jian Huang, Mingyue Niu:
Expression Analysis Based on Face Regions in Real-world Conditions. Int. J. Autom. Comput. 17(1): 96-107 (2020) - [c10]Feihu Che, Dawei Zhang, Jianhua Tao, Mingyue Niu, Bocheng Zhao:
ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion. AAAI 2020: 2774-2781 - [c9]Wenxiang She, Zhao Lv, Jianhua Tao, Bin Liu, Mingyue Niu:
Micro-Expression Recognition Based on Multiple Aggregation Networks. APSIPA 2020: 1043-1047 - [c8]Jian Huang, Jianhua Tao, Bin Liu, Zheng Lian, Mingyue Niu:
Multimodal Transformer Fusion for Continuous Emotion Recognition. ICASSP 2020: 3507-3511 - [c7]Licai Sun, Zheng Lian, Jianhua Tao, Bin Liu, Mingyue Niu:
Multi-modal Continuous Dimensional Emotion Recognition Using Recurrent Neural Network and Self-Attention Mechanism. MuSe @ ACM Multimedia 2020: 27-34
2010 – 2019
- 2019
- [j1]Jianhua Tao, Jian Huang, Ya Li, Zheng Lian, Mingyue Niu:
Semi-supervised Ladder Networks for Speech Emotion Recognition. Int. J. Autom. Comput. 16(4): 437-448 (2019) - [c6]Mingyue Niu, Jianhua Tao, Bin Liu:
Local Second-Order Gradient Cross Pattern for Automatic Depression Detection. ACII Workshops 2019: 128-132 - [c5]Jian Huang, Jianhua Tao, Bin Liu, Zhen Lian, Mingyue Niu:
Efficient Modeling of Long Temporal Contexts for Continuous Emotion Recognition. ACII 2019: 185-191 - [c4]Mingyue Niu, Jianhua Tao, Ya Li, Jian Huang, Zheng Lian:
Discriminative Video Representation with Temporal Order for Micro-expression Recognition. ICASSP 2019: 2112-2116 - [c3]Mingyue Niu, Jianhua Tao, Bin Liu, Cunhang Fan:
Automatic Depression Level Detection via ℓp-Norm Pooling. INTERSPEECH 2019: 4559-4563 - [i1]Zheng Lian, Ya Li, Jianhua Tao, Jian Huang, Mingyue Niu:
Expression Analysis Based on Face Regions in Read-world Conditions. CoRR abs/1911.05188 (2019) - 2018
- [c2]Jian Huang, Ya Li, Jianhua Tao, Zheng Lian, Mingyue Niu, Minghao Yang:
Multimodal Continuous Emotion Recognition with Data Augmentation Using Recurrent Neural Networks. AVEC@MM 2018: 57-64 - [c1]Jian Huang, Ya Li, Jianhua Tao, Zheng Lian, Mingyue Niu, Minghao Yang:
Deep Learning for Continuous Multiple Time Series Annotations. AVEC@MM 2018: 91-98
Coauthor Index
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