People

Weicheng Xie

Weicheng Xie

  • Assistant Professor
  • Department of Artificial Intelligence
  • Computer Vision Research Institute
  • wcxie@szu.edu.cn
  • RM936, Zhiteng Building

Personal Profile:

In 2013, I obtained a doctor degree in computational mathematics from the School of Mathematics and Statistics of Wuhan University. I am a reserve-level high-level talent in Shenzhen, a leading talent in Nanshan District, Shenzhen, and a distinguished associate researcher of Shenzhen University. I visited the School of Computer Science, University of Nottingham, UK from April 2015 to November 2015. Has published more than 30 papers in internationally renowned journals and conferences; Has applied for 6 patents related to computer vision and deep learning, of which 1 has been authorized, and has obtained software copyright; Currently presides over computer vision related postdoctoral funds, National Natural Sciences, The Youth Fund, Guangdong Province and Shenzhen Fund; The research direction is deep learning, artificial intelligence and computer vision. For more details, please visit: https://wcxie.github.io/Weicheng-Xie/


Interested graduate students and undergraduates are welcome to join the team. In addition, post-doctoral fellows in computer vision and deep learning are also recruited. Welcome to consult.



Education and Work Experience:

2004.9-2008.7

Bachelor of Statistics, School of Mathematics and Statistics

Central China Normal University 

2008.9-2010.7Master of Probability Theory and Mathematical Statistics, School of Mathematics and StatisticsWuhan University
2010.9-2013.7PhD in Computational Mathematics, School of Mathematics and StatisticsWuhan University
2013.7-2014.6Senior Site and Route Planning SpecialistShanghai Deppon Logistics Co. LTD
2015.4-2015.11Visiting Scholar, School of Computer ScienceUniversity of Nottingham, UK
2014.10-2017.4Postdoctoral Fellow, School of Computer and SoftwareShenzhen University
2017.6-presentAssistant Professor, School of Computer and Software EngineeringShenzhen University



Research Projects:

1

Research on Multi-scale Feature Extraction, Screening and Recognition Model of Facial Expression

2Research on facial expression recognition based on multi-scale geometry and wrinkle features



论文:

  1Zhiwei Ke#,Zhiwei Wen#, Weicheng Xie*,Yi Wang*, Linlin Shen, Group-Wise Dynamic Dropout Based on Latent Semantic Variation,AAAI 2020CCF A).
  2Weicheng Xie#,Linlin Shen*, Jinming Duan, Adaptive Weighting of Hand-crafted Feature Losses for Facial Expression Recognition,IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2019.2925095,2019. (SCI,CCF B)
3Weicheng Xie, Linlin Shen*, Jianmin Jiang. A Novel Transient Wrinkle Detection Algorithm and Its Application for Expression Synthesis. IEEE Transactions on Multimedia. 2017, 19(2), 279-292.(SCI,CCF B).
  4Weicheng Xie#,Xi Jia, Linlin Shen*, Meng Yang, Sparse deep feature learning for facial expression recognition,Pattern Recognition, 96(12),2019, 106966. (SCI,CCF B)
5Wei-Cheng Xie, Xiu-Fen Zou*, Jian-Dong Yang, Jie-Bin Yang. Iteration and optimization scheme for the reconstruction of 3D surfaces based on non-uniform rational B-splines. Computer-Aided Design. 2012, 44, .(SCI,CCF B).
6Weicheng Xie, Xiufen Zou*. A triangulation-based hole patching method using differential evolution. Computer-Aided Design. 2013, 45, .(SCI,CCF B).
7
Weicheng Xie, Linlin Shen*, Meng Yang, Jianming Jiang. Facial expression synthesis with direction field preservation based mesh deformation and lighting fitting based wrinkle mapping. Multimedia Tools and Applications. 2018, 77(6), 7565-7593.(SCI,CCF C).
8Weicheng Xie, Wei Yu, Xiufen Zou*. Diversity-maintained differential evolution embedded with gradient-based local search. Soft Computing. 2012, 0, .(SCI,CCF C).
9Weicheng Xie, Jinming Duan, Linlin Shen*, Yuexiang Li, Meng Yang, Guojun Lin. Open snake model based on global guidance field for embryo vessel location. IET Computer Vision. 2018, 12(2), 129-137.(SCI,CCF C).
10Weicheng Xie, Haoqian Wu, Yi Tian, Mengchao Bai, Linlin Shen*. Triplet loss with multistage outlier suppression and class-pair margins for facial expression recognition. IEEE Transactions on Circuits and Systems for Video Technology, 2021.
  11Yi Tian#,Zhiwei Wen,Weicheng Xie*,Xi Zhang, Linlin Shen, Jinming Duan, Outlier-suppressed triplet loss with adaptive class-aware margins for facial expression recognition,IEEE International Conference on Image Processing,2019. (EI,CCF C,Oral)
  12Guohang Zeng#,Jiancan Zhou, Xi Jia, Weicheng Xie*, Linlin Shen, Hand-crafted Feature Guided Deep Learning for Facial Expression Recognition,IEEE Conference on Automatic Face and Gesture Recognition,2018. (EI,CCF C)
  13Haozhe Liu#, Haoqian Wu#, Weicheng Xie*, Feng Liu*, Linlin Shen; Group-wise Inhibition based Feature Regularization for Robust Classification; International Conference on Computer Vision, 2021. (EI,CCF A)
 14Guojun Lin#, Meng Yang*, Jian Yang, Linlin Shen, Weicheng Xie. Robust, Discriminative and Comprehensive Dictionary Learning for Face Recognition. Pattern Recognition, 2018, 341-356. (SCI,CCF B)
15Yu Chen, Xiufen Zou*, Weicheng Xie. Convergence of multi-objective evolutionary algorithms to a uniformly distributed representation of the Pareto front. Information Sciences. 2011, 181, .(SCI,CCF B).
16Yu Chen*, Weicheng Xie, Xiufen Zou. How can surrogates influence the convergence of evolutionary algorithms?. Swarm and Evolutionary Computation. 2013, 12, .(SCI).
17Yu Chen*, Weicheng Xie, Xiufen Zou. A binary differential evolution algorithm learning from explored solutions. Neurocomputing. 2015, 149, .(SCI,CCF C).
18Zhiwei Wen, Haoqian Wu, Weicheng Xie*, Linlin Shen. Group-wise Feature Orthogonalization and Suppression for GAN based Facial Attribute Translation. ICPR,2020. (EI,CCF C)
19Weicheng Xie, Wenting Chen, Linlin Shen*, Jinming Duan, Meng Yang. Surrogate Network-based Sparseness Hyper-parameter Optimization for Deep Expression Recognition. Pattern Recognition, 2020. (SCI,CCF B,中科院二区)

 20

Weizeng Lu#, Xi Jia, Weicheng Xie, Linlin Shen*, Yicong Zhou, Jinming Duan*.  Geometry Constrained Weakly Supervised Object Localization. ECCV. 2021. (EI,CCF B)


last updated:2021/10/24

College of Computer Science and Software Engineering, Shenzhen University 2020