Wu Xi, Doctor of Engineering, Professor; Email: wuxi@cuit.edu.cn ；

Research and postgraduate enrollment direction:

1. Image processing and computational imaging;

2. Artificial intelligence and cognitive computing;

3. Intelligent weather and numerical weather calculation;

Profile:

He is currently the Dean of the Computer School of Chengdu University of Information Engineering, the Director of Sichuan Numerical Weather Computing Engineering Technology Research Center, the Executive Deputy Director of Sichuan Graphic Image and Spatial Information 2011 Collaborative Innovation Center, and the Chinese Director of the Image and Vision International Joint Research Center of Chengdu University of Information Engineering. The main research directions are: image analysis and computational imaging, high-performance and parallel distributed computing, intelligent weather and numerical weather computing. At present, he is the candidate of Sichuan Qingcheng Plan, the winner of Sichuan Youth Science and Technology Award, the winner of Sichuan Outstanding Academic and Technical Leaders Fund, the backup candidate of Sichuan Academic and Technical Leaders, the vice chairman of Sichuan Computer Society, and the executive director of ACM China Computer Education Branch.

Dr. Wu Xi received his doctorate in information and communication engineering in 2012. He was jointly trained by Sichuan University and Vanderbilt University. From 2008 to 2010, he was engaged in the research of diffusion magnetic resonance computational imaging at the VUIIS, Vanderbilt University Institute of Imaging Science, Vanderbilt University, 2011-2012 Engaged in high-dimensional image computing modeling research at the FMRIB, Oxford Centre for Functional MRI of the Brain, University of Oxford, UK. Dr. Wu Xi graduated from University of Electronic Science and Technology of China and Sichuan University in 2006 and 2003, respectively.

Dr. Wu Xi has undertaken and participated in more than 20 internal medicine research projects under the National Key R&D Program and the National Natural Science Foundation of China, with an accumulated research fund of more than 10 million yuan. He has published more than 100 academic papers, including more than 50 SCI searches and 11 authorized invention patents.

Dr. Wu Xi is actively engaged in the internationalization of engineering education. He is the only parliamentary member from Asia of the International CDIO Engineering Education Organization and the local chairman of the 11th CDIO International Conference (CDIO 2015).

Currently undertaking scientific research projects:

1. General program of National Natural Science Foundation of China, "Research on Physics Guided Deep Learning for Atmospheric Data", (42075142).

2. The national key research and development plan "Global Change and Response" key project, "Research on the Development Method of Integrating Big Data and Artificial Intelligence Technology Innovation Mode", and the project leader.

3. Smart Meteorology Sichuan Youth Science and Technology Innovation Research Team, "Research and Development of Precision Weather Numerical Forecast System Based on Artificial Intelligence", team leader.

4. National key research and development plan "Major natural disaster monitoring, early warning and prevention" key project, "Research and development of dynamic framework of weather climate integration model based on unstructured grid" (2017YFC1502200), sub project leader.

5. "Computational Imaging Research on White Matter Pathway Function Information" (2017JQ0030), funded by Sichuan Provincial Outstanding Young Scholars and Technical Leaders.

Current teaching:

"Digital Image Processing", undergraduate/postgraduate

"Operating System Principles", undergraduate

Papers published in recent 5 years (* is the corresponding author):

1. Shen Zhao,Xi Wu*, Bo Chen, Shuo Li. Automatic Vertebrae Recognition from Arbitrary Spine MRI images by a Category Consistent Self-calibration Detection Framework. Medical Image Analysis. 2020 ,101826 (SCI IF 11.148 )

2. Ting Wang, D Mitchell Wilkes, Muwei Li,Xi Wu*, John C Gore, Zhaohua Ding. Hemodynamic Response Function in Brain White Matter in a Resting State. Cerebral Cortex Communications. two thousand and twenty

3. Shen Zhao, Bin Chen, Heyou Chang,Xi Wu, and Shuo Li. Discriminatory Dictionary embedded Network for Comprehensive Vertebra Tumour Diagnosis, MICCAI 2020

4. Jing Hu, Ziwei Luo, Youbing Yin, Kunlin Cao, Qi Song, Siwei Lyu, Xin Wang,Xi Wu*. End-to-end multimodal image registration via reinforcement learning. Medical Image Analysis. 2020 (SCI IF 11.148 )

5. Zhipeng Yang, Xiaojie Li, Jiliu Zhou,Xi Wu, Zhaohua Ding. Functional clustering of whole brain white matter fibers. Journal of Neuroscience Methods. 2020, 335: 108626. (SCI Zone III, IF 2.785)

6. Shen Zhao,Xi Wu*, Bo Chen, Shuo Li. Automatic Spondylolisthesis Grading from MRIs across modalities using Faster Adversarial Recognition Network. Medical Image Analysis. 2019, 58101533. (SCI Zone II IF 8.880)

7. Zongqing Ma,Xi Wu, Xin Wang, Qi Song, Youbing Yin, Kunlin Cao, Yan Wang, Jiliu Zhou*. An iterative multi‐path fully convolutional neural network for automatic cardiac segmentation in cine MR images. Medical Physics. 2019 (SCI Zone III IF 3.177)

8. Zhenjie Gao, An Feng*, Xinyu Song,Xi Wu. Target-Dependent Sentiment Classification With BERT. IEEE Access. 2019, 7: 154290-154299. (SCI Zone II IF 4.098)

9. Shuang Zhou, Evgueni Smirnov, Gijs Schoenmakers, Ralf Peeters,Xi Wu*. Conformal Feature-Selection Wrappers and Ensembles for Negative-Transfer Avoidance.Neurocomputing. 2019, 397:309-319. (SCI Zone II IF 4.072)

10. Jinrong Hu, Shanhui Sun, Shuang Zhou, Xin Wang, Ying Fu, Jiliu Zhou, Kunling Cao, Qi Song,Xi Wu*. Towards Accurate and Robust Multi-modal Medical Image Registration using Contrastive Metric Learning. IEEE Access. 2019, 7:132816-132827. (SCI Zone II IF 4.098)

11. Shen Zhao,Xi Wu*, Bo Chen, Shuo Li. Automatic Vertebrae Recognition from Arabic Spine MRI images by a Hierarchical Self calibration Detection Framework, MICCAI 2019. (Tsinghua University Class B)

12. Chaoyang Xia, Xiaojie Li, Xin Wang, Bin Kong, Yusheng Chen, Youbing Yin, Kunlin Cao, Qi Song, Siwei Lyu, and Xi Wu * A Multi modal Network for Cardionomy Death Risk Prediction with CMR Images and Clinical Information, MICCI 2019. (Tsinghua University Class B)

13. Zongqing Ma, Shuang Zhou,Xi Wu, Heye Zhang, Weijie Yan, Shanhui Sun and Jiliu Zhou*. Nasopharyngeal carcinoma segmentation based on enhanced convolutional neural networks using multi-modal metric learning. Physics in Medicine & Biology. 2019, 64, 025005. (SCI Zone III IF 3.03)

14. Shanhui Sun, Jing Hu, Mingqing Yao, Jinrong Hu, Xiaodong Yang, Qi Song andXi Wu*. Robust Multimodal Image Registration Using Deep Recurrent Reinforcement Learning. ACCV 2018

15. Xinguo Wang,Xi Wu*, Xinming Zhang, Yingchang Liang. An energy-efficient network-wide broadcast protocol for asynchronous wireless sensor networks. IEEE wireless communication letters. 2018 (SCI IF 1.291)

16. Liu Chang,Wu Xi*, Yu Xi, Tang Yuanyan, Zhang Jian, Zhou Jiliu. Fusing multi-scale information in convolution network for MR image super-resolution reconstruction. Biomedical Engineering Online. 2018 (SCI IF 1.414)

17. Le Dong, Ling He, Mengdie Mao, Gaipeng Kong,Xi Wu, Qianni Zhang, Xiaochun Cao, Ebroul Izquierdo。 CUNet: A Compact Unsupervised Network For Image Classification. IEEE Transactions on Multimedia. 2018, 20(8); 2012-2021.

18. Yan Wang, Guangkai Ma,Xi Wu, Jiliu Zhou. Patch-based label fusion with structured discriminant embedding for Hippocampus Segmentation.Neuroinformatics. 2018 (SCI IF 3.200, CCF Class B)

19. Jing Hu,Xi Wu* , Jiliu Zhou. Noise robust single image super-resolution using a multiscale image pyramid. Signal Processing. 2018 (148): 157-171. (SCI Zone II IF 4.086, CCF Class C)

20. Xun Yang, Jin Liu, Yaming Meng, Mingrui Xia, Zaixu Cui,Xi Wu, Xinyu Hu, Wei Zhang, Gaolang Gong, Qiyong Gong, John A. Sweeney, Yong He. Network analysis reveals disrupted functional brain circuitry in drug-naive social anxiety disorder. NeuroImage, 2018. (SCI IF 5.463)

21. Yan Wang, Chen Zu, Zongqing Ma, Yong Luo, Kun He,Xi Wu*,Jiliu Zhou. Patch-wise label propagation for MR brain segmentation based on multi-atlas images. Multimedia Systems. 2017 (SCI IF 2.207, CCF Class C)

22. Yan Wang, Chen Zu, Zongqing Ma, Yong Luo, Kun He,Xi Wu*; Jiliu Zhou. Automatic segmentation with Deep Convolutional Neural Networks for radiotherapy applications. Neural Processing Letters. 2017 (SCI IF 1.620, CCF Class C)

23. Zhipeng Yang, Peiyu He, Jiliu Zhou, Zhaohua Ding,Xi Wu*. Functional Informed Fiber Tracking Using Combination of Diffusion and Functional MRI. IEEE Transaction on Biomedical Engineering. 2018（SCI IF 3.577）

24. Xi Wu, Ting Wang, Chang Liu, Tao Wu, Jiefeng Jiang, Dong Zhou, Jiliu Zhou*. The functions of the learning rate in adaptive reward learning. Frontiers in Human Neuroscience. 2017, 11:592（SCI IF 3.209）

25. Xiaojie Li,Xi Wu (Joint first author), Jiancheng Lv, Jia He, Jianping Gou, Mao Li. Automatic Detection of Boundary Point Based on Local Geometrical Measures. Soft Computing. 2017, 1-12. (SCI IF 2.472, CCF Class C)

26. Xingguo Wang,Xi Wu*，Xinming Zhang. Optimizing Opportunistic Routing in Asynchronous Wireless Sensor Networks. IEEE Communications Letters, 2017 (SCI IF 1.291)

27. Zhipeng Yang, Peiyu He, Jiliu Zhou,Xi Wu*. Non-Local Diffusion Weighted Image Super-Resolution Using Collaborative Joint Information. Experimental and Therapeutic Medicine,2017 (SCI IF 1.280)

28. Jing Hu,Xi Wu, Jiliu Zhou*. Second-order regression-based MR image upsampling. Computational and Mathematical Methods in Medicine. 2017, 6462832.（SCI IF 0.887）

29. Xi Wu, Zhipeng Yang, Stephen Bailey, Jiliu Zhou, Laurie Cutting, John Gore, Zhaohua Ding. Functional Connectivity and Activity of White Matter in Somatosensory Pathways under Tactile Stimulations. NeuroImage. 2017.，152（15）：371-380. (SCI IF 5.463)

30. Xiaojie Li, Jiancheng Lv,Xi Wu, Xin Yu. A Semi-supervised Manifold Alignment Algorithm and an Evaluation Method Based on Local Structure Preservation. Neurocomputing. 2017224:195-203. (SCI IF 3.317, CCF Class C)