Expression Classification and Intensity Estimation by Expression Manifold Synthesis. - Yao Peng 001; Hujun Yin (IDEAL, 2016)

Markov Random Field Based Convolutional Neural Networks for Image Classification. - Yao Peng 001; Hujun Yin (IDEAL, 2017)

Towards Complex Features: Competitive Receptive Fields in Unsupervised Deep Networks. - Richard Hankins; Yao Peng 001; Hujun Yin (IDEAL (1), 2018)

Deep Neural Networks with Markov Random Field Models for Image Classification. - Yao Peng 001; Menyu Liu; Hujun Yin (IDEAL (1), 2018)

SOMNet: Unsupervised Feature Learning Networks for Image Classification. - Richard Hankins; Yao Peng 001; Hujun Yin (IJCNN, 2018)

Facial expression analysis and expression-invariant face recognition by manifold-based synthesis. - Yao Peng 001; Hujun Yin (Mach. Vis. Appl., 2018)

Multitemporal Aerial Image Registration Using Semantic Features. - Ananya Gupta; Yao Peng 001; Simon Watson 001; Hujun Yin (IDEAL (2), 2019)

Image Quality Constrained GAN for Super-Resolution. - Jingwen Su; Yao Peng 001; Hujun Yin (IDEAL (1), 2019)

Multi-Temporal High Resolution Aerial Image Registration Using Semantic Features. - Ananya Gupta; Yao Peng 001; Simon Watson 001; Hujun Yin (CoRR, 2019)

ApprGAN: appearance-based GAN for facial expression synthesis. - Yao Peng 001; Hujun Yin (IET Image Process., 2019)

Facial expression synthesis and feature learning for convolutional neural networks. - Yao Peng 001 (2019)

Data-Independent Feature Learning with Markov Random Fields in Convolutional Neural Networks. - Yao Peng 001; Richard Hankins; Hujun Yin (Neurocomputing, 2020)

Visual Perception Based Semantic SAR Change Detection. - Yao Peng 001; Bin Cui 004 (IGARSS, 2022)

Markov Random Field Based Spectral-Spatial Fusion Network for Hyperspectral Image Classification. - Yao Peng 001; Bin Cui 004 (IGARSS, 2022)

Automatic SAR Change Detection Based on Visual Saliency and Multi-Hierarchical Fuzzy Clustering. - Yao Peng 001; Bin Cui 004; Hujun Yin; Yonghong Zhang; Peijun Du (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Characterizing Markov Random Fields and Coefficient of Variations as Measures of Spatial Distributions for Hyperspectral Image Classification. - Bin Cui 004; Yao Peng 001; Hao Zhang 052; Wenmei Li; Peijun Du (IEEE Geosci. Remote. Sens. Lett., 2023)

Enhanced Edge Information and Prototype Constrained Clustering for SAR Change Detection. - Bin Cui 004; Yao Peng 001; Yonghong Zhang; Hujun Yin; Hong Fang; Shanchuan Guo; Peijun Du (IEEE Trans. Geosci. Remote. Sens., 2024)

Toward High-Confidence Homogeneous Features: Partial Neighborhood Ratio Based Difference Image for SAR Change Detection. - Bin Cui 004; Yao Peng 001; Huarong Jia; Shanchuan Guo; Peijun Du (IEEE Geosci. Remote. Sens. Lett., 2025)