Spoken Emotion Recognition Using Radial Basis Function Neural Network. - Shiqing Zhang; Xiaoming Zhao 002; Bicheng Lei (CSEE (1), 2011)

Facial Expression Recognition Using Local Fisher Discriminant Analysis. - Shiqing Zhang; Xiaoming Zhao 002; Bicheng Lei (CSEE (1), 2011)

Facial Expression Recognition Based on Local Binary Patterns and Kernel Discriminant Isomap. - Xiaoming Zhao 002; Shiqing Zhang (Sensors, 2011)

Facial expression recognition using local binary patterns and discriminant kernel locally linear embedding. - Xiaoming Zhao 002; Shiqing Zhang (EURASIP J. Adv. Signal Process., 2012)

Phoneme recognition using an adaptive supervised manifold learning algorithm. - Xiaoming Zhao 002; Shiqing Zhang (Neural Comput. Appl., 2012)

Robust Facial Expression Recognition via Compressive Sensing. - Shiqing Zhang; Xiaoming Zhao 002; Bicheng Lei (Sensors, 2012)

Dimensionality reduction-based spoken emotion recognition. - Shiqing Zhang; Xiaoming Zhao 002 (Multim. Tools Appl., 2013)

Facial Expression Recognition via Non-Negative Least-Squares Sparse Coding. - Ying Chen; Shiqing Zhang; Xiaoming Zhao 002 (Inf., 2014)

Locality-sensitive kernel sparse representation classification for face recognition. - Shiqing Zhang; Xiaoming Zhao 002 (J. Vis. Commun. Image Represent., 2014)

Robust emotion recognition in noisy speech via sparse representation. - Xiaoming Zhao 002; Shiqing Zhang; Bicheng Lei (Neural Comput. Appl., 2014)

Robust facial expression recognition using improved sparse classifier. - Shiqing Zhang; Gang Zhang; Xiaoming Zhao 002 (Int. J. Comput. Appl. Technol., 2015)

Graph Regularized Within-Class Sparsity Preserving Projection for Face Recognition. - Songjiang Lou; Xiaoming Zhao 002; Wenping Guo; Ying Chen (Inf., 2015)

Spoken emotion recognition via locality-constrained kernel sparse representation. - Xiaoming Zhao 002; Shiqing Zhang (Neural Comput. Appl., 2015)

Biologically Inspired Pattern Recognition for E-nose Sensors. - Sanad Al-Maskari; Wenping Guo; Xiaoming Zhao 002 (ADMA, 2016)

Feature Learning via Deep Belief Network for Chinese Speech Emotion Recognition. - Shiqing Zhang; Xiaoming Zhao 002; Yuelong Chuang; Wenping Guo; Ying Chen (CCPR (2), 2016)

Graph Regularized Sparsity Discriminant Analysis for face recognition. - Songjiang Lou; Xiaoming Zhao 002; Yuelong Chuang; Haitao Yu; Shiqing Zhang (Neurocomputing, 2016)

Plagiarism Detection in Homework Based on Image Hashing. - Ying Chen; Liping Gan; Shiqing Zhang; Wenping Guo; Yuelong Chuang; Xiaoming Zhao 002 (ICPCSEE (2), 2017)

Bio-inspired learning approach for electronic nose. - Sanad Al-Maskari; Zhuoming Xu; Wenping Guo; Xiaoming Zhao 002; Xue Li 001 (Computing, 2018)

Learning Affective Video Features for Facial Expression Recognition via Hybrid Deep Learning. - Shiqing Zhang; Xianzhang Pan; Yueli Cui; Xiaoming Zhao 002; Limei Liu (IEEE Access, 2019)

Speech Emotion Recognition by Combining a Unified First-Order Attention Network With Data Balance. - Gang Chen; Shiqing Zhang; Xin Tao; Xiaoming Zhao 002 (IEEE Access, 2020)

Learning Deep Binaural Representations With Deep Convolutional Neural Networks for Spontaneous Speech Emotion Recognition. - Shiqing Zhang; Aihua Chen; Wenping Guo; Yueli Cui; Xiaoming Zhao 002; Limei Liu (IEEE Access, 2020)

A Time-Critical Topic Model for Predicting the Survival Time of Sepsis Patients. - Wenping Guo; Zhuoming Xu; Xijian Ye; Shiqing Zhang; Xiaoming Zhao 002; Xue Li 001 (Sci. Program., 2020)

Designing a Supermarket Service Robot Based on Deep Convolutional Neural Networks. - Aihua Chen; Benquan Yang; Yueli Cui; Yuefen Chen; Shiqing Zhang; Xiaoming Zhao 002 (Symmetry, 2020)

Deep Cross-Corpus Speech Emotion Recognition: Recent Advances and Perspectives. - Shiqing Zhang; Ruixin Liu; Xin Tao; Xiaoming Zhao 002 (Frontiers Neurorobotics, 2021)

Learning deep multimodal affective features for spontaneous speech emotion recognition. - Shiqing Zhang; Xin Tao; Yuelong Chuang; Xiaoming Zhao 002 (Speech Commun., 2021)

Unsupervised Domain Adaptation Integrating Transformer and Mutual Information for Cross-Corpus Speech Emotion Recognition. - Shiqing Zhang; Ruixin Liu; Yijiao Yang; Xiaoming Zhao 002; Jun Yu 002 (ACM Multimedia, 2022)

Unsupervised Deep Anomaly Detection for Medical Images Using an Improved Adversarial Autoencoder. - Haibo Zhang 010; Wenping Guo; Shiqing Zhang; Hongsheng Lu; Xiaoming Zhao 002 (J. Digit. Imaging, 2022)

Spontaneous Speech Emotion Recognition Using Multiscale Deep Convolutional LSTM. - Shiqing Zhang; Xiaoming Zhao 002; Qi Tian 001 (IEEE Trans. Affect. Comput., 2022)

Deep learning-based panoptic segmentation: Recent advances and perspectives. - Yuelong Chuang; Shiqing Zhang; Xiaoming Zhao 002 (IET Image Process., 2023)

Learning inter-class optical flow difference using generative adversarial networks for facial expression recognition. - Wenping Guo; Xiaoming Zhao 002; Shiqing Zhang; Xianzhang Pan (Multim. Tools Appl., 2023)

Multimodal emotion recognition based on audio and text by using hybrid attention networks. - Shiqing Zhang; Yijiao Yang; Chen Chen; Ruixin Liu; Xin Tao; Wenping Guo; Yicheng Xu; Xiaoming Zhao 002 (Biomed. Signal Process. Control., 2023)

BreastDM: A DCE-MRI dataset for breast tumor image segmentation and classification. - Xiaoming Zhao 002; Yuehui Liao; Jiahao Xie; Xiaxia He; Shiqing Zhang; Guoyu Wang; Jiangxiong Fang; Hongsheng Lu; Jun Yu 002 (Comput. Biol. Medicine, 2023)

Integrating Representation Subspace Mapping with Unimodal Auxiliary Loss for Attention-based Multimodal Emotion Recognition. - Xulong Du; Xingnan Zhang; Dandan Wang; Yingying Xu; Zhiyuan Wu; Shiqing Zhang; Xiaoming Zhao 002; Jun Yu 002; Liangliang Lou (LREC/COLING, 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)

Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects. - Shiqing Zhang; Yijiao Yang; Chen Chen; Xingnan Zhang; Qingming Leng; Xiaoming Zhao 002 (Expert Syst. Appl., 2024)

Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals. - Huiting Fan; Xingnan Zhang; Yingying Xu; Jiangxiong Fang; Shiqing Zhang; Xiaoming Zhao 002; Jun Yu 002 (Inf. Fusion, 2024)

Wireless-Sensing-Based Human-Vehicle Classification Method via Deep Learning: Analysis and Implementation. - Liangliang Lou; Mingxin Song; Xinquan Chen; Xiaoming Zhao 002; Shiqing Zhang; Ming Zhan (IEEE Internet Things J., 2024)

Optimized Wireless Sensing and Deep Learning for Enhanced Human-Vehicle Recognition. - Liangliang Lou; Mingxin Song; Xinquan Chen; Xiaoming Zhao 002; Shiqing Zhang (IEEE Trans. Intell. Transp. Syst., 2024)

Distribution-Aware Multi-Attention Tri-branch Networks with Feedforward Differential Features for semi-supervised medical image segmentation. - Peilian Shi; Shuchang Zhao; Lin Guo; Dandan Wang; Shiqing Zhang; Xiaoming Zhao 002; Jiangxiong Fang; Guoyu Wang; Hongsheng Lu; Jun Yu 002 (Expert Syst. Appl., 2025)

Text-guided multimodal depression detection via cross-modal feature reconstruction and decomposition. - Ziqiang Chen; Dandan Wang; Liangliang Lou; Shiqing Zhang; Xiaoming Zhao 002; Shuqiang Jiang; Jun Yu 002; Jun Xiao 001 (Inf. Fusion, 2025)

Multi-scale convolutional attention frequency-enhanced transformer network for medical image segmentation. - Shun Yan; Benquan Yang; Aihua Chen; Xiaoming Zhao 002; Shiqing Zhang (Inf. Fusion, 2025)

PACMR: Progressive Adaptive Crossmodal Reinforcement for Multimodal Apparent Personality Traits Analysis. - Peng Shen; Dandan Wang; Yingying Xu; Shiqing Zhang; Xiaoming Zhao 002 (IEEE Signal Process. Lett., 2025)

Multi-Scale Group Agent Attention-Based Graph Convolutional Decoding Networks for 2D Medical Image Segmentation. - Zhichao Wang; Lin Guo; Shuchang Zhao; Shiqing Zhang; Xiaoming Zhao 002; Jiangxiong Fang; Guoyu Wang; Hongsheng Lu; Jun Yu 002; Qi Tian 001 (IEEE J. Biomed. Health Informatics, 2025)