3D human behavior recognition based on spatiotemporal texture features. - Chunxiao Fan 001; Lei Tian 002; Guangchao Wang; Yue Ming 001; Jiakun Shi; Yi Jin 001 (HSI, 2015)

Stacked PCA Network (SPCANet): An effective deep learning for face recognition. - Lei Tian 002; Chunxiao Fan 001; Yue Ming 001; Yi Jin 001 (DSP, 2015)

SRDANet: An Efficient Deep Learning Algorithm for Face Analysis. - Lei Tian 002; Chunxiao Fan 001; Yue Ming 001; Jiakun Shi (ICIRA (1), 2015)

Weighted Non-locally Self-similarity Sparse Representation for Face Deblurring. - Lei Tian 002; Chunxiao Fan 001; Yue Ming 001; Xiaopeng Hong (ACCV Workshops (1), 2016)

Learning iterative quantization binary codes for face recognition. - Lei Tian 002; Chunxiao Fan 001; Yue Ming 001 (Neurocomputing, 2016)

Multiple scales combined principle component analysis deep learning network for face recognition. - Lei Tian 002; Chunxiao Fan 001; Yue Ming 001 (J. Electronic Imaging, 2016)

Face recognition algorithm based on multi-scale CLBP. - Jiakun Shi; Yue Ming 001; Chunxiao Fan 001; Lei Tian 002 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Learning spherical hashing based binary codes for face recognition. - Lei Tian 002; Chunxiao Fan 001; Yue Ming 001 (Multim. Tools Appl., 2017)

Sparse Tikhonov-Regularized Hashing for Multi-Modal Learning. - Lei Tian 002; Xiaopeng Hong; Chunxiao Fan 001; Yue Ming 001; Matti Pietikäinen; Guoying Zhao 001 (ICIP, 2018)

PCANet-II: When PCANet Meets the Second Order Pooling. - Chunxiao Fan 001; Xiaopeng Hong; Lei Tian 002; Yue Ming 001; Matti Pietikäinen; Guoying Zhao 001 (IEICE Trans. Inf. Syst., 2018)

Sparse projections matrix binary descriptors for face recognition. - Chunxiao Fan 001; Lei Tian 002; Yue Ming 001; Xiaopeng Hong; Guoying Zhao 001; Matti Pietikäinen (Neurocomputing, 2018)

Rectifying Transformation Networks for Transformation-Invariant Representations with Power Law. - Chunxiao Fan 001; Yang Li 032; Lei Tian 002; Yong Li 025 (IEICE Trans. Inf. Syst., 2019)

Two-stream siamese network with contrastive-center losses for RGB-D action recognition. - Chunxiao Fan 001; Zhengyuan Zhai; Yue Ming 001; Lei Tian 002 (J. Electronic Imaging, 2019)