第一作者及通讯作者：

⁃ S. Zhang, T. Wang, G. Li, J.Dong, and H. Yu, “MARS: Parallelismbased Metrically Accurate 3D Reconstruction System in Real-Time,” Real-TimeImage Processing, in Publishing, 2020.

⁃ S. Zhang, H. Yu, T. Wang, J. Dong, and T. D. Pham, “Linearly augmented real-time 4D expressional face capture,” Information Sciences, vol.545, pp.331–343, 2020.

⁃ S. Zhang, H. Yu, T. Wang, and J. Dong, “Augmented visualfeature modelling for matching in low- visibility based on cycle-labelling ofSuperpixel Flow,” Knowledge-BasedSystems, p.105699, 2020,

⁃T. Wang, S.Zhang*, L. Liu, G. Wu, andJ. Dong, “Automatic Facial Paralysis Evaluation Augmented by A Cascaded EncoderNetwork Structure,” IEEE Access, vol.7, pp.135621–135631, 2019。

⁃S. Zhang, T. Wang,Y. Peng, and J. Dong, “AHierarchically Trained Generative Network for Robust Facial Symmetrization,”Technology and Health Care, vol. 27, pp.217–227, 2019.

⁃S. Zhang, H. Yu, T. Wang, L. Qi, J. Dong, and H. Liu, “Dense 3Dfacial reconstruction from a single depth image in unconstrained environment,” Virtual Reality, vol. 22, no. 1, pp.37–46,Mar.2018.

⁃T. Wang, S. Zhang*, J. Dong, and Y. Liang, “A Deep Variational Autoencoder Approach for RobustFacial Symmetrization,” in The British Machine Vision Conference (BMVC), 2018.

⁃S. Zhang, T. Wang,J. Dong, and H. Yu, “Underwaterimage enhancement via extended multi-scale retinex,” Neurocomputing, vol. 245,pp.1–9, 2017.

⁃S. Zhang, J. Dong, and H. Yu, “Automatic 3D Face Recoveryfrom a Single Frame of a RGB-DSensor,” in The British Machine VisionConference (BMVC), 2017.

⁃S. Zhang, J. Dong, and H.Yu, “Feature Matching for UnderwaterImage via Superpixel Tracking,” in Proceedings of 2017 23rd InternationalConference on Automation and Computing (ICAC), 2017, pp.1– 5.

⁃S. Zhang, H. Yu, J. Dong, T. Wang, L. Qi, and H.Liu, “Combining Kinect and PnP for camera pose estimation,” in Proceedings of2015 8th IEEE International Conference on Human System Interaction (HSI), 2015, pp.357–361.

⁃S. Zhang, H. Yu, J. Dong, T. Wang, Z. Ju, and H.Liu, “Automatic reconstruction of dense 3D face point cloud with a single depthimage,” in Proceedings of 2015 IEEE International Conference on Systems, Man,and Cybernetics (SMC), 2015, pp.1439–1444.

合作作者：

⁃J. Sun, H. Yu, G.Zhong, J. Dong, S. Zhang, and H. Yu, “Random Shapley Forests: CooperativeGame- Based Random Forests With Consistency,”IEEE Transactions on Cybernetics, pp. 1–10,2020.

⁃T. Chen, J. Dong, L. Qi, S. Zhang, X. Wang, and Q. Zhao, “Spatial-Temporal Skeleton Feature: An Unit-Level Feature for Temporal ActionProposal Generation,” in 2019 Smart World Congress, 2019.

⁃S. Han, X. Sun, J. Dong, S. Zhang, and Q. Li, “PhytoGAN: Unpaired Dead-to-Live PhytoplanktonTranslation,” in 2019 Smart World Congress, 2019.

⁃H. Xv, X. Sun, J. Dong,S. Zhang, and Q. Li, “Multi-level Similarity Learning for Low-Shot Recognition,” in 2019 Smart World Congress, 2019.

⁃J. Liu, T. Zhang, Y. Gao, S. Zhang, J. Sun, J. Dong, and H. Yu, “Dual Stage Augmented Colorful Texture Synthesis from Hand Sketch,” inProceedings of the 25th International Conference on Automation & Computing, 2019.

⁃Y. Luo, H. Jiao, L. Qi, J.Dong, S. Zhang, and H. Yu, “Augmenting Depth Estimation from DeepConvolutional Neural Network using Multi-Spectral Photometric Stereo,” inProceedings of the 2017 IEEE International Conference on UbiquitousIntelligence and Computing, 2017.

⁃T. Wang, S. Zhang, J. Dong, L. Liu, and H. Yu, “Automatic evaluation of the degree offacial nerve paralysis,” Multimedia tools and applications, vol. 75, no. 19,pp. 11893–11908, 2016.

⁃T. Wang, J. Dong, X. Sun, S. Zhang, and S. Wang, “Automatic recognition of facialmovement for paralyzed face,” Bio-medical materials and engineering, vol. 24,no. 6, pp. 2751–2760, 2014.

⁃T. Wang, L. Qi, J. Dong, S. Zhang, and S. Wang, “Facial paralysis grading: areachromatic images sufficient?,” Percept. ECVP Abstract, vol. 43, p. 19, 2014.