Outstanding graduates are invited to apply for full PhD Studentships within the Research Institute. For further details, please click Here
People

                   

Xiaoyan Zhang

  • College of Computer Science and Software Engineering

  • Shen Zhen University

  • Shen Zhen, Guang Dong 518060

  • Contact Details：

Research Interests

  • Medical Image Processing; Image Enhancement and Visualization;

  • Video Surveillance; Data Mining and Machine Learning; 3D Model Registration

Work Experience

  • 2021 - To data: Associate Professor, College of Computer Science and Software Engineering, Shenzhen University, China

  • 2015 - 2020: Assistant Professor, College of Computer Science and Software Engineering, Shenzhen University, China

  • 2013 - 2015: Research Fellow, Houston Methodist Research Institute, Weill Cornell Medical College of Cornell University, USA

Education

Ph.D School of Electrical & Electronics Engineering, Institute for Media Innovation, Nanyang Technological University, Singapore 2014
M.Eng School of Information Science and Engineering, Shandong University, China 2009
B.Eng School of Information Science and Engineering, Shandong University, China 2006

Publications

    Journals

  • Xiaoyan Zhang, Zhuopeng Li, Jianmin Jiang, “Emotion Attention-Aware Collaborative Deep Reinforcement Learning for Image Cropping”, IEEE Transactions on Multimedia, 2020,1-16.

  • Xiaoyan Zhang, Haihua Luo, Bowei Chen, and Guibing Guo, “Multi-view Visual Bayesian Personalized Ranking for Restaurant Recommendation”, Applied Intelligence, 2020, 1-24.

  • Xiaoyan Zhang, Zhuopeng Li, Martin Constable, Kap Luk Chan, Zhenhua Tang, and Gaoyang Tang, “Pose-based Composition Improvement for Portrait Photographs”, IEEE Transactions on Circuits and Systems for Video Technology, 2019，29(3):653-668.

  • Xiaoyan Zhang，Xiaole Zhang，and Zhijiao Xiao, “Deep Photographic Style Transfer Guided by Semantic Correspondence”, Multimedia Tools and Applications, 2019, 78(24): 34649-34672.

  • Xiaoyan Zhang, Zhenhua Tang, Junhui Hou, and Yanbin Hao, “3D Human Pose Estimation via Human Structure-aware Fully Connected Network”, Pattern Recognition Letters, 2019, 125:404–410.

  • Jianmin Jiang, Ehab H. El-Shazly, and Xiaoyan Zhang*, “Gaussian Weighted Deep Modeling for Improved Depth Estimation in Monocular Images”, IEEE access, 2019, 7:134718- 134729.

  • 刘远平，宋昱锴，张小燕*，刘贤强, “基于深度学习的髋关节应力分布算法研究”, 智能科学与技术学报, 2019, 1(3): 260-268.

  • Xiaoyan Zhang, Martin Constable, and Kap Luk Chan, “Transfer of Content-aware Vignetting Effect from Paintings to Photographs”, Multimedia Tools and Applications, 2018, 77:23851–23875.

  • Xiaoyan Zhang, Daeseung Kim, Shunyao Shen, et al., “An eFTD-VP framework for efficiently generating patient-specific anatomically detailed facial soft tissue FE mesh for craniomaxillofacial surgery simulation”, Biomechanics and Modeling in Mechanobiology, 2017.

  • Yingying Zhu, Gaoyang Tang, Xiaoyan Zhang∗, Jianmin Jiang, Qi Tian, “Haze removal method for natural restoration of images with sky”, Neurocomputing, 2017.

  • Boyu Yuan, Shen Tong, Xiaoyan Zhang, Liang Li, Chao Wang, “Automatic monitoring refractive index variations of transient solution during electrochemical reactions”, Measurement, 98, PP:10-16, 2017.

  • Daeseung Kim, Dennis Chun-Yu Ho, Huaming Mai, Xiaoyan Zhang, Steve G.F. Shen, 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.

  • Guangming Zhang , James J. Xia, Michael Liebschner, Xiaoyan Zhang, Daeseung Kim, Xiaobo Zhou,“ Improved Rubin–Bodner model for the prediction of soft tissue deformations”，Medical Engineering and Physics，38，1369-1375，2016.

  • Xiaoyan Zhang, Zhen Tang, et al. “An eFace-Template Method for Efficiently Generating Patient-Specific Anatomically-Detailed Facial Soft Tissue FE Models for Craniomaxillofacial Surgery Simulation”,  Annals of Biomedical Engineering,44(5), pp 1656-1671, 2016.

  • James J. Xia, Jaime Gateno, J. F. Teichgraeber, P. Yuan, K.-C. Chen, J. Li,Xiaoyan Zhang,et al.“Algorithm for planning a double-jaw orthognathic surgery using a computer-aided surgical simulation (CASS) protocol. Part 1: planning sequence”, Journal of Oral and Maxillofacial Surgery, 44, pp: 1431–1440, 2015.

  • Martin Constable, Junyan Wang, Kap Luk Chan, and Xiaoyan Zhang. “A Definition of Global Hue Contrast in Artworks”, Journal of International Colour Association, 2015.

  • Xiaoyan Zhang, Kap Luk Chan, and Martin Constable, “Atmospheric Perspective Contrast Enhancement of Landscape Photographs through Depth-aware Contrast Manipulation”, IEEE Transactions on Multimedia, 16 (3), pp. 653 – 667, 2014.

  • Xiaoyan Zhang, Martin Constable, and Kap Luk Chan, “Exemplar-based Portrait Photograph Enhancement as informed by Portrait Paintings”, Computer Graphics Forum, 33(8), pp.38-51, 2014.

  • Boyu Yuan, Wei Li, Xiaoyan Zhang et al. “Direct observation of the diffusion layer during copper electrodeposition”, Microelectronic Engineering, 107, pp.37-41, 2013.

  • Xiaoyan Zhang, Xiaojuan Wu. “The website Construction of Circuit Analysis Excellent Courses”Journal of Electrical & Electronic Education,29 (3),pp. 99-101, 2007 .


    • Book

  • Xiaoyan Zhang, Martin Constable, Kap Luk Chan, et al., “Computational Approaches in the Transfer of Aesthetic Values from Paintings to Photographs: Beyond Red, Green and Blue”, Springer, ISBN 978-981-10-3561-6, 2017.

  • 石大明，张小燕，洪国伟等，虚拟现实——从零基础到超现实， 高等教育出版社， 2019.


    • Conferences

  • Yaxin Liu, Xiaoyan Zhang*, Xiaogang Xu, “Semantic-Aware Video Style Transfer Based On Temporal Consistent Sparse Patch Constraint”, IEEE International Conference on Multimedia and Expo (ICME), 2021, oral, accepted.

  • Haihua Luo, Xiaoyan Zhang*, Guibing Guo, “Convolutional Attention Model For Restaurant Recommendation With Multi-View Visual Features”, IEEE International Conference on Image Processing (ICIP), 2021.

  • Zhuopeng Li, and Xiaoyan Zhang*, “Collaborative Deep Reinforcement Learning for Photo Composition”，IEEE International Conference on Multimedia and Expo (ICME), 2019, 254-259.

  • Zhuopeng Li, and Xiaoyan Zhang*, “Deep Reinforcement Learning for Automatic Thumbnail Generation”，International Conference on Multimedia Modeling (MMM), 2019, 41-53.

  • Zhenhua Tang, Xiaoyan Zhang*, and Junhui Hou, “An Articulated Structure-aware Network for 3D Human Pose Estimation”，Asia Conference on Machine Learning (ACML), 2019, 101:48-63.

  • Chulan Chen, Peihui Wu, Linli Zheng, Yuanping Liu, Xiaoyan Zhang*, and Yukai Song, “A Modular Software System for 3D Measurement of Acetabulum in Arthritic Dysplasia Hips”, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019,1449-1456.

  • Xianqiang Liu, Xiaoyan Zhang*, and Shenghua Zhong, “Motion Capture based Dynamic Assessment of Hip Joint Cartilage Contact Pressure during Daily Activities”，International Conference on Bioinformatics and Biomedical Technology (ICBBT), 2019, 124-131.

  • Guibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, and Xiuqiang He, “Leveraging Title-Abstract Attentive Semantics for Paper Recommendation”, The Association for the Advance of Artificial Intelligence (AAAI), 2019, 1-8.

  • Zeyang Zhang, Xiaobo Zhou, Shengjie Zhao, and Xiaoyan Zhang, “Semantic Prior Guided Face Inpainting”, ACM Multimedia Asia Conference (MM Asia), 2019, 1-6.

  • Xianqiang Liu, Xiaoyan Zhang*, Shenghua Zhong, and Jianmin Jiang, “Dynamic Assessment of Contact Pressure Changes in the Hip Joint Cartialge during Daily Activities”, International Conference on Systems and Informatics (CSI), 2018, 570-575.

  • Zhijiao Xiao, Xiaole Zhang, and Xiaoyan Zhang*, “Semantic Correspondence Guided Deep Photo Style Transfer”, The Pacific-Rim Conference on Multimedia (PCM), 2018, 81-93.

  • Xiaoyan Zhang, Martin Constable, Kap Luk Chan, “Transfer of vignetting effect from paintings to photographs”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.

  • Xiaoyan Zhang, Kap Luk Chan, Martin Constable, “Pose-based composition improvement for portrait photographs”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.

  • Daeseung Kim, Huaming Mai, Chien-Ming Chang, Dennis Chun-Yu Ho, Xiaoyan Zhang, et al., “FEM Simulation with Realistic Sliding Effect to Improve Facial-Soft-Tissue-Change Prediction Accuracy for Orthognathic Surgery”, International Conference on Medical Imaging and Virtual Reality, 2016.

  • Daeseung Kim, Chien-Ming Chang, Dennis Chun-Yu Ho, Xiaoyan Zhang, et al.  “Two-Stage Simulation Method to Improve Facial Soft Tissue Prediction Accuracy for Orthognathic Surgery”. Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2016.

  • Zhijun Zhang, Siwei Li, and Xiaoyan Zhang, “Simulink Comparison of Varying-Parameter Convergent-Differential Neural-Network and Gradient Neural Network for Solving Online Linear Time-Varying Equations”. The 12th World Congress on Intelligent Control and Automation (WCICA), 2016.

  • Zhijun Zhang, Jianli Yu, Yuanqing Li,Xiaoyan Zhang,“A New Neural-Dynamic Control Method of Position and Angular Stabilization for Autonomous Quadrotor UAVs ”. 2016 IEEE World Congress on Computational Intelligence (WCCI ), 2016.

  • Jianfu Li, Flavio Ferraz, Shunyao Shen, Yi-Fang Lo,Xiaoyan Zhang, et al.  “Automated Three-Piece Digital Dental Articulation”. Medical Image Computing and Computer-Assisted Intervention (MICCAI),Munich，Germany, pp. 278-286, 2015.

  • Guangming Zhang, James J. Xia, Xiaoyan Zhang, and Xiaobo Zhou, “Prediction of facial soft tissue deformations with improved rubin-bodner model after craniomaxillofacial (CMF) surgery”, IEEE International Conference on Image Processing, pp:2796-2800, 2015.

  • Xiaoyan Zhang,Martin Constable, and Kap Luk Chan, “Example-Based Contrast Enhancement for Portrait Photograph”. International Conference on Pattern Recognition (ICPR), Tsukuba, Japan, pp.943-946, 2012.

  • Xiaoyan Zhang,  Martin Constable, and Kap Luk Chan, “Aesthetic Enhancement of Landscape Photographs as Informed by Paintings across Depth Layers” IEEE International Conference on Image Processing (ICIP), Brussels, Belguim, pp. 1137-1140, 2011.

  • Xiaoyan Zhang, Kap Luk Chan, and Martin Constable, “Depth-based Reference Portrait Painting Selection for Example-based Rendering”, IEEE International Conference on Cybernetics and Intelligent Systems (CIS), Qingdao, China, pp. 105-110, 2011.

  • Xiaoyan Zhang, Martin Constable, and Ying He. “On the Transfer of Painting Style to Photographic Images through Attention to Colour Contrast”, The Fourth Pacific-Rim Symposium on Image and Video Technology (PSIVT), Singapore, pp.414-421, 2010.

  • Martin Constable, and Xiaoyan Zhang. “Depth-based Analyses of Landscape Paintings and Photographs According to Itten’s Contrasts”. The Fourth Pacific-Rim Symposium on Image and Video Technology (PSIVT), Singapore, pp.481-486, 2010.

  • Xiaoyan Zhang, Xiaojuan Wu, Xiaogang Wang et al. “Automatic Detection and Tracking of Maneuverable Birds”. International Conference on Computational Intelligence and Security (CIS), Suzhou, China, pp.185-189, 2008.

  • Xiaoyan Zhang,Xiaojuan Wu, Xin Zhou et al. “Birds’ Flap Frequency Measure Based on Automatic Detection and Tracking in Captured Videos”. International Conference on Biomedical Engineering, Singapore, pp.1858-1861, 2008.
Research Institute for Future Media Computing,Shenzhen University 2014 - 2022