I have a strong passion for teaching and am thrilled to share my knowledge with others. As an educator, I find teaching to be very rewarding and take great pleasure in helping students learn and grow.

I am interested in interdisciplinary research and medical image processing using artificial intelligence algorithms to assist doctors in diagnosing diseases. Specifically, I am interested in cross-researching these fields to develop more effective and accurate AI-powered data analysis tools.

l Medical image analysis and processing

l Data science and optimization

l Deep learning and statistical learning methods.

l Department of Mathematics, University of Northeast Normal University,China.

                           Sept.1998-July 2002: B.S in mathematics .

l Department of Mathematics, Harbin Institute of Technology, China.

        Sept.2002-July 2004: M.S in applied mathematics .

l Institute of applied mathematics, Academy of Mathematics and Systems Science,Chinese Academy of Sciences, China.

       Sept.2004-July 2007: PhD. in applied mathematics.

l School of Statistics and Mathematics, Zhejiang Gongshang University, China.

       July 2007- Oct. 2009: Assistant Professor

       Nov. 2009-Dec. 2020: Associate Professor

       Dec.2020-Now: Professor

l School of Science, Nanyang Technological University, Singapore.

                                   Aug. 2008-Aug.2009: Postdoctoral Fellow

l Institute of Mathematics, University of California, Los Angeles, USA.

                                 June 2013- June 2014: Visiting Scholar

l Deputy Chair Member of the Youth Committee for the Ultrasound Intervention and Intelligent Diagnosis Special Commission, Zhejiang Society for Mathematical Medicine

l Guest Professor at Taizhou cancer Hospital

l Guess Professor of department of Ultrasound, Zhejiang Cancer Hospital

Medical image progression

Big data applications

Foundations of big data applications

Probability theory and mathematical statistics

Image engineering

Engineering mathematics 1A, 1B, 2

Deep learning

1. Xu Jing, Ren Haojie,etc. An improved faster R-CNN algorithm for assisted detection of lung nodules, Computers in Biology and Medicine 153 (2023) 106470. (SCI included)

2.  Jincao Yao, Zhikai Lei , Wenwen Yue , Bojian Feng , Wei Li , Di Ou , Na Feng , Yidan Lu , Jing Xu , Wencong Chen , Chen Yang , Lijing Wang , Liping Wang , Junping Liu , Peiying Wei , Huixiong Xu , Dong Xu : DeepThy-Net: A Multimodal Deep Learning Method for Predicting Cervical Lymph Node Metastasis in Papillary Thyroid Cancer.Adv.Intell.Syst.4 (10) (2022) (SCI included)

3. Yang Kun, Xu Jing. Region-specific Network Analysis Reveals That Epigenetic Modifications Outside Transcriptional Start Sites Are Tightly Linked to mRNA, IEEE Access, 9,17041-17048,2021. (SCI inclusion)

4. Xu Jing, Liu Junhao. A modified original dual method for solving the TV_L1 image denoising model, Applied Mathematics Journal, 2020,43 (4), 684-699. (Level I Journal)

5. Fu Yangting, Liu Junhao, Xu Jing^*, Gu Danyan, Yang Kun.Ultrasonic Image Denosing Based on Calculus of Variations. IEEE 4th International Conference on Signal and Image Processing, 2019,970-975. (EI, SCI included)

6.  Baoli  Shi, Pang Zhi-Fen g and Xu Jing . Image segmentation based on the hybrid total variation model and the K-means clustering strategy, Inverse Problems and Imaging, 2016,10 (3), 807-828. (SCI included)

7.  Xu Jing, Chang Huibin and Qin Jing. Domain Decomposition method for Image Blurring, Journal of Computational and Applied Mathematics, 2014,271:401-414. (SCI included)

8.  Tujin Kim, Chang Qianshun and Xu Jing. Note on an open problem of higher order nonlinear elliptic equation, Acta Mathematica Scientia, series B, 2012,32 (6): 2369-2376. (included in SCI)

9. Xu Jing and Chang Qianshun. New Time Dependent Pretreat Models Based on Total Variational Image Restoration, Acta Mathematicae Applicatae Sinica, 2011,27 (1): 129-140. (SCI included)

10.  Xu Jing, Tai Xuecheng and Wang Lilian. A Two-Level Domain Decomposition Method for Image Restoration, Inverse Problems and Imaging, 2010,4 (3): 523-545. (SCI Region II)

11.  Xu Jing and Chang Qianshun, A Robust Algorithm for Blind Total Variation Restoration.Acta Mathematicae Applicatae Sinica, 2008, 24(2):681-690. (SCI)

12. Xu Jing, Shi Yuying and Wang xiaoyu. Extrapolation Boundary Conditions for the Total Variation-based Image Deblurring and Denoising Problems, Chinese Journal of Computational Physics, 2007,24 (3): 353-360. (EI included)

13.  Shi Yuying, Chang Qianshun and Xu Jing. Convergence of Fixed Point Iteration for Deblurring and Denoising Problems, Applied Mathematics and Computation, 2007,189 (2): 1178-1185. (included in SCI)

14. Xu Jing, Han Bo and Li Li.Frozen Landweber Iteration for Nonlinear Ill-posed Problems. Acta Mathematicae Applicatae Sinica, 2007,23 (2): 329-336. (included in SCI)

15.  Chang Qianshun, Wang Weicheng and Xu Jing.A Method for the Total Variation-based Reconstruction of Noisy and Blurred Image, Proceedings of the International Conference on PDE-Based Image Processing and Related Inverse Problems, Mathematic and Visualization, Springer, 2007, 95-108.