X.Zhang, Pose-based Composition Improvement for Portrait Photographs，IEEE Transactions on Circuits and Systems for Video Technology， 2019
M.Zhu, D.Shi, M.Zheng, M.Sadiq:Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks. CVPR 2019: 3486-3496
M.Zhu, D.Shi, J.Gao:Branched convolutional neural networks incorporated with Jacobian deep regression for facial landmark detection. Neural Networks 118: 127-139 (2019)
2018：
K. Hung*, C.Qiu, J.Jiang, "Video Restoration using Convolutional Neural Networks for low-level FPGAs", International Conference on Knowledge Science, Engineering and Management (KSEM 2018), Changchun, China, Aug. 17-19, 2018.
H.Kasem, K.Hung*, Jianmin Jiang, “Revised Spatial Transformer Network towards Improved Image Super-resolutions”, International Conference on Pattern Recognition (ICPR 2018), Aug 20-24th, 2018, Beijing.
2017：
X.Li, Y.Huo, R.Zhang, L.Hanzo, User-Centric Visible Light Communications for Energy-Efficient Scalable Video Streaming. IEEE Trans. Green Commun. Netw. 1(1): 59-73 (2017)
K.Hung, J.Jiang, Q.Chang, X.Wang, DCT-based Image Up-sampling Using Anchored Neighborhood Regression, IEEE International Conference on Image Processing (ICIP 2017), Beijing, China, Sep. 17-20, 2017.
K.Wang, K.Hung, J.Jiang, A Novel Blemish Detection Algorithm for Camera Quality Testing, International Conference on Knowledge Science, Engineering and Management (KSEM 2017), Melbourne, Australia, Aug. 19-21, 2017.
M.Su, K.Hung, J.Jiang, Super-resolution for Images with Barrel Lens Distortions, International Conference on Knowledge Science, Engineering and Management (KSEM 2017), Melbourne, Australia, Aug. 19-21, 2017.
B.Yuan, S.Tong, X.Zhang, L.Li, C.Wang, “Automatic monitoring refractive index variations of transient solution during electrochemical reactions”, Measurement, 98, PP:10-16, 2017.
D.Kim, D.Chun, H.Mai, X.Zhang, G.F.Steve, et al. “A Clinically Validated Simulation Method for Facial Soft Tissue Change Prediction Following Double-Jaw Orthognathic Surgery”， Medical Physics, 44(8):4252-4261, 2017.
2016 -2010:
D.Cheng, M.N.Nguyen, J.Gao, D.Shi, On the construction of the relevance vector machine based on Bayesian Ying-Yang harmony learning. Neural Networks 48: 173-179 (2013)
J.Gao, P.W.H.Kwan, D.Shi, Sparse kernel learning with LASSO and Bayesian inference algorithm. Neural Networks 23(2): 257-264 (2010)
D.Shi, L.Zheng, J.Liu, Advanced Hough Transform Using A Multilayer Fractional Fourier Method. IEEE Trans. Image Process. 19(6): 1558-1566 (2010)
Y.Huo, T.Wang, R. G. Maunder, L.Hanzo, Motion-Aware Mesh-Structured Trellis for Correlation Modelling Aided Distributed Multi-View Video Coding. IEEE Trans. Image Process. 23(1): 319-331 (2014)
Y.Huo, M.El-Hajjar, R.G. Maunder, L.Hanzo, Layered Wireless Video Relying on Minimum-Distortion Inter-Layer FEC Coding. IEEE Trans. Multimedia 16(3): 697-710 (2014)
Y.Huo, M.El-Hajjar, L.Hanzo, Inter-Layer FEC Aided Unequal Error Protection for Multilayer Video Transmission in Mobile TV. IEEE Trans. Circuits Syst. Video Technol. 23(9): 1622-1634 (2013)
P.Rahmdel, D.Shi, R.Comley, Comment on "Collinear Segment Detection Using HT Neighborhoods". IEEE Trans. Image Process. 23(2): 952-955 (2014)
X.Jiang, G. Gao, T. Wang and D. Shi (2014). TPSLVM: A Dimensionality Reduction Algorithm based on Thin Plate Splines,, IEEE Transactions on Cybernetics, 44(10):1795-1807.
D.Shi,, Gao, J., Rahmdel, P., Antolovich, M. and Clark, T. (2013). UND: Unite-and-Divide Method in Fourier and Radon Domains for Line Segment Detection, IEEE Transactions on Image Processing, 22(6):2500-2505.
D.Shi,, and M. N. Nguyen (2010). Fuzzy CMAC with Incremental Bayesian Ying Yang Learning and Dynamic Rule Construction, IEEE Transactions on Systems, Man and Cybernetics, 40(2):548-552.
G.Zhang , J. J. Xia, M.Liebschner, X.Zhang, D.Kim, X.Zhou,“ Improved Rubin–Bodner model for the prediction of soft tissue deformations”，Medical Engineering and Physics，38，1369-1375，2016.
