Multimodal Continuous Emotion Recognition with Data Augmentation Using Recurrent Neural Networks. - Jian Huang 014; Ya Li 001; Jianhua Tao 001; Zheng Lian; Mingyue Niu; Minghao Yang (AVEC@MM, 2018)

Deep Learning for Continuous Multiple Time Series Annotations. - Jian Huang 014; Ya Li 001; Jianhua Tao 001; Zheng Lian; Mingyue Niu; Minghao Yang (AVEC@MM, 2018)

Efficient Modeling of Long Temporal Contexts for Continuous Emotion Recognition. - Jian Huang 014; Jianhua Tao 001; Bin Liu 041; Zhen Lian; Mingyue Niu (ACII, 2019)

Local Second-Order Gradient Cross Pattern for Automatic Depression Detection. - Mingyue Niu; Jianhua Tao 001; Bin Liu 041 (ACII Workshops, 2019)

Discriminative Video Representation with Temporal Order for Micro-expression Recognition. - Mingyue Niu; Jianhua Tao 001; Ya Li 001; Jian Huang 014; Zheng Lian (ICASSP, 2019)

Automatic Depression Level Detection via ℓp-Norm Pooling. - Mingyue Niu; Jianhua Tao 001; Bin Liu 041; Cunhang Fan (INTERSPEECH, 2019)

Expression Analysis Based on Face Regions in Read-world Conditions. - Zheng Lian; Ya Li 001; Jianhua Tao 001; Jian Huang 014; Mingyue Niu (CoRR, 2019)

Semi-supervised Ladder Networks for Speech Emotion Recognition. - Jianhua Tao 001; Jian Huang 014; Ya Li 001; Zheng Lian; Mingyue Niu (Int. J. Autom. Comput., 2019)

ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion. - Feihu Che; Dawei Zhang 001; Jianhua Tao 001; Mingyue Niu; Bocheng Zhao (AAAI, 2020)

Micro-Expression Recognition Based on Multiple Aggregation Networks. - Wenxiang She; Zhao Lv; Jianhua Tao 001; Bin Liu 041; Mingyue Niu (APSIPA, 2020)

Multimodal Transformer Fusion for Continuous Emotion Recognition. - Jian Huang 014; Jianhua Tao 001; Bin Liu 041; Zheng Lian; Mingyue Niu (ICASSP, 2020)

Multi-modal Continuous Dimensional Emotion Recognition Using Recurrent Neural Network and Self-Attention Mechanism. - Licai Sun; Zheng Lian; Jianhua Tao 001; Bin Liu 041; Mingyue Niu (MuSe @ ACM Multimedia, 2020)

Expression Analysis Based on Face Regions in Real-world Conditions. - Zheng Lian; Ya Li 001; Jianhua Tao 001; Jian Huang 014; Mingyue Niu (Int. J. Autom. Comput., 2020)

Multi-Scale and Multi-Region Facial Discriminative Representation for Automatic Depression Level Prediction. - Mingyue Niu; Jianhua Tao 001; Bin Liu 041 (ICASSP, 2021)

TDCA-Net: Time-Domain Channel Attention Network for Depression Detection. - Cong Cai; Mingyue Niu; Bin Liu 041; Jianhua Tao 001; Xuefei Liu (Interspeech, 2021)

Correction to: Semi-supervised Ladder Networks for Speech Emotion Recognition. - Jianhua Tao 001; Jian Huang 014; Ya Li 001; Zheng Lian; Mingyue Niu (Int. J. Autom. Comput., 2021)

A time-frequency channel attention and vectorization network for automatic depression level prediction. - Mingyue Niu; Bin Liu 041; Jianhua Tao 001; Qifei Li (Neurocomputing, 2021)

EEG Emotion Recognition Based on Self-attention Dynamic Graph Neural Networks. - Chao Li; Yong Sheng; Haishuai Wang; Mingyue Niu; Peiguang Jing; Ziping Zhao 001; Björn W. Schuller (EMBC, 2022)

Csenet: Complex Squeeze-and-Excitation Network for Speech Depression Level Prediction. - Cunhang Fan; Zhao Lv; Shengbing Pei; Mingyue Niu (ICASSP, 2022)

Automatic Depression Level Assessment from Speech By Long-Term Global Information Embedding. - Ya Li 001; Mingyue Niu; Ziping Zhao 001; Jianhua Tao 001 (ICASSP, 2022)

Automatic Respiratory Sound Classification Via Multi-Branch Temporal Convolutional Network. - Ziping Zhao 001; Zhen Gong; Mingyue Niu; Jiali Ma; Haishuai Wang; Zixing Zhang 001; Ya Li 001 (ICASSP, 2022)

Depressioner: Facial dynamic representation for automatic depression level prediction. - Mingyue Niu; Lang He; Ya Li 001; Bin Liu 041 (Expert Syst. Appl., 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 007; Songtao Ding; Zhongmin Wang 001; Xiaoying Pan; Wei Dang (Inf. Fusion, 2022)

Selective Element and Two Orders Vectorization Networks for Automatic Depression Severity Diagnosis via Facial Changes. - Mingyue Niu; Ziping Zhao 001; Jianhua Tao 001; Ya Li 001; Björn W. Schuller (IEEE Trans. Circuits Syst. Video Technol., 2022)

Multimodal Spatiotemporal Representation for Automatic Depression Level Detection. - Mingyue Niu; Jianhua Tao 001; Bin Liu 041; Jian Huang 014; Zheng Lian (IEEE Trans. Affect. Comput., 2023)

Dual Attention and Element Recalibration Networks for Automatic Depression Level Prediction. - Mingyue Niu; Ziping Zhao 001; Jianhua Tao 001; Ya Li 001; Björn W. Schuller (IEEE Trans. Affect. Comput., 2023)

Dense Coordinate Channel Attention Network for Depression Level Estimation from Speech. - Ziping Zhao 001; Shizhao Liu; Mingyue Niu; Haishuai Wang; Björn W. Schuller (ICPR (13), 2024)

PointTransform Networks for automatic depression level prediction via facial keypoints. - Mingyue Niu; Ming Li 065; Changzeng Fu (Knowl. Based Syst., 2024)

WavDepressionNet: Automatic Depression Level Prediction via Raw Speech Signals. - Mingyue Niu; Jianhua Tao 001; Yongwei Li; Yong Qin; Ya Li 001 (IEEE Trans. Affect. Comput., 2024)

MTDAN: A Lightweight Multi-Scale Temporal Difference Attention Networks for Automated Video Depression Detection. - Shiqing Zhang; Xingnan Zhang; Xiaoming Zhao 002; Jiangxiong Fang; Mingyue Niu; Ziping Zhao 001; Jun Yu 002; Qi Tian 001 (IEEE Trans. Affect. Comput., 2024)

DepressionMLP: A Multi-Layer Perceptron Architecture for Automatic Depression Level Prediction via Facial Keypoints and Action Units. - Mingyue Niu; Ya Li 001; Jianhua Tao 001; Xiuzhuang Zhou; Björn W. Schuller (IEEE Trans. Circuits Syst. Video Technol., 2024)

Facial action units guided graph representation learning for multimodal depression detection. - Changzeng Fu; Fengkui Qian; Yikai Su; Kaifeng Su; Siyang Song; Mingyue Niu; Jiaqi Shi; Zhigang Liu 014; Chaoran Liu; Carlos Toshinori Ishi; Hiroshi Ishiguro (Neurocomputing, 2025)

Depression Scale Dictionary Decomposition Framework for Multimodal Automatic Depression Level Prediction. - Mingyue Niu; Xu Wang; Jibing Gong; Bin Liu 041; Jianhua Tao 001; Björn W. Schuller (IEEE Trans. Circuits Syst. Video Technol., 2025)