2013 present Assistant Professor Georgia State University, USA Visiting Assistant Professor Georgia Institute of Technology, USA

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1 Xiaojing Ye Department of Mathematics & Statistics Georgia State University 25 Park Place, Room 1436 Atlanta, Georgia 30303, USA Tel: (404) Fax: (404) Web: Professional Experience 2013 present Assistant Professor Georgia State University, USA Visiting Assistant Professor Georgia Institute of Technology, USA Education Ph.D. Mathematics University of Florida, USA 2011 M.S. Statistics University of Florida, USA 2009 B.S. Mathematics Peking University, China 2006 Research Interests Analysis, numerical and optimization methods for applications in imaging, machine learning and networking. Award Alumni Fellowship University of Florida, USA Research Grant National Science Foundation CMMI , Co-PI National Science Foundation DMS , PI Publications 1. S. Xiao, M. Farajtabar, X. Ye, J. Yan, L. Song, H. Zha, Wasserstein Learning of Deep Generative Point Process Models, Advances in Neural Information Processing Systems (NIPS), accepted, Y. Wang, X. Ye, H. Zha, L. Song, Predicting User Activity Level In Point Process Models With Mass Transport Equation, Advances in Neural Information Processing Systems (NIPS), accepted, M. Farajtabar, J. Yang, X. Ye, H. Xu, R. Trivedi, E. Khalil, S. Li, L. Song, H. Zha, Fake News Mitigation via Point Process Based Intervention, International Conference on Machine Learning (ICML), PMLR, 70, pp , 2017.

2 Xiaojing Ye 2 4. Y. Wang, X. Ye, H. Zhou, H. Zha, L. Song, Linking Micro Event History to Macro Prediction in Point Process Models Artificial Intelligence & Statistics (AISTATS), PMLR, 54, pp , L. Zhao, W.-Z. Song, X. Ye, Y. Gu, Asynchronous Broadcast-based Decentralized Learning in Sensor Networks, International Journal of Parallel, Emergent and Distributed Systems, pp. 1-19, B. Sirb, X. Ye, Consensus Optimization with Delayed and Stochastic Gradients on Decentralized Networks, IEEE International Conference on Big Data, pp , M. Farajtabar, X. Ye, S. Harati, L. Song, H. Zha, Multistage Campaigning in Social Networks, Advances in Neural Information Processing Systems (NIPS), 29, pp , S.-N. Chow, X. Ye, and H. Zhou, Potential Induced Random Teleportation on Finite Graphs, Computational Optimization and Applications, 61(3), pp , L. Zhao, W.-Z. Song, L. Shi, and X. Ye, Decentralised Seismic Tomography Computing in Cyber-Physical Sensor Systems, Cyber-Physical Systems, 1 (2-4), pp , X. Ye, Distributed Consensus Optimization for Nonsmooth Image Reconstruction, Journal of the Operations Research Society of China, 3(2), pp , L. Zhao, W.-Z. Song, and X. Ye, Fast Decentralized Gradient Descent Method and Applications to In-situ Seismic Tomography, IEEE Proceedings of International Conference on Big Data (BigData 15), pp , T. Niu, X. Ye, Q. Fruhauf, M. Petrongolo, and L. Zhu, Accelerated barrier optimization compressed sensing (ABOCS) for CT reconstruction with improved convergence, Physics in Medicine and Biology, 59, pp , M. Liu, Y. Chen, Y. Ouyang, X. Ye, and F. Huang, An Enhanced Approach for Simultaneous Image Reconstruction and Sensitivity Map Estimation in Partially Parallel Imaging, IEEE Proceedings of International Conference of Image Processing (ICIP 13), pp , X. Ye and H. Zhou, Fast Total Variation Wavelet Inpainting via Approximated Primal Dual Hybrid Gradient Algorithm, Inverse Problems and Imaging, 7(3), pp , H. Zhang, X. Ye, and Y. Chen, An Efficient Algorithm for Multiphase Image Segmentation with Intensity Bias Correction, IEEE Transactions on Image Processing, 22(10), pp , Y. Chen, W. W. Hager, M. Yashtini, X. Ye, and H. Zhang, Bregman Operator Splitting With Variable Stepsize for Total Variation Image Reconstruction, Computational Optimization and Applications, 54(2), pp , H. Zhang, Y. Chen, and X. Ye, A Variational Multiphase Model for Simultaneous MR Image Segmentation and Bias Correction IEEE Proceedings of International Conference of Image Processing (ICIP 13), pp , M. Yashtini, W. W. Hager, Y. Chen, and X. Ye, Parallel MR Image Reconstruction Using Sensitivity Encoding, IEEE Proceedings of International Conference of Image Processing (ICIP 12), pp , 2012.

3 Xiaojing Ye Y. Chen, W. W. Hager, F. Huang, D. Phan, X. Ye and W. Yin, Fast Algorithms for Image Reconstruction with Application to Partially Parallel MR Imaging, SIAM Journal on Imaging Sciences, 5(1), pp , Y. Chen and X. Ye, Modeling and Computations in Image Registration, Mathematical Modeling and Its Applications, 1(1), pp , X. Ye, Y. Chen, and F. Huang, Computational Acceleration for MR Image Reconstruction in Partially Parallel Imaging, IEEE Transactions on Medical Imaging, 30(5), pp , X. Ye, Y. Chen, W. Lin, and F. Huang, Fast MR Image Reconstruction for Partially Parallel Imaging with Arbitrary k Space Trajectories, IEEE Transactions on Medical Imaging, 30(3), pp , M. Liu, K. Liu and X. Ye, Efficient Minimization for Dictionary Based Sparse Representation and Signal Recovery, ACM Proceedings of the International Symposium on Applied Sciences in Biomedical and Communication Technologies, 105, pp. 1-5, M. Liu, K. Liu, and X. Ye, Find the Intrinsic Space for Multiclass Classification, ACM Proceedings of the International Symposium on Applied Sciences in Biomedical and Communication Technologies, 106, pp. 1-5, M. Liu, L. Lu, X. Ye and S. Yu, Coarse-to-fine Classification Using Parametric and Nonparametric Models for Computer-Aided Diagnosis, Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM 11), pp , M. Liu, L. Lu, X. Ye, S. Yu, and M. Salganicoff, Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries Proceedings of the 14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 11), 3, pp , Y. Chen, X. Ye, and F. Huang, A Novel Method and Fast Algorithm for MR Image Reconstruction with Significantly Under Sampled Data, Inverse Problems and Imaging, 4(2), pp , F. Huang, Y. Chen, W. Yin, W. Lin, X. Ye, W. Guo, A. Reykowski, A Rapid and Robust Method for Sensitivity Encoding with Sparsity Constraints: Self-feeding Sparse SENSE, Magnetic Resonance in Medicine, 64(4), pp , Y. Chen and X. Ye, Inverse Consistent Deformable Image Registration, pp , Development of Mathematics The Legacy of Alladi Ramakrishnan in the Mathematical Sciences, K. Alladi, J. Klauder and C.R. Rao (Eds.), Springer-Verlag, X. Ye and Y. Chen, A New Algorithm for Inverse Consistent Image Registration, Proceedings of International Symposium on Visual Computing (ISVC 09), Part I, Lecture Notes in Computer Science (LNCS) 5875, Springer-Verlag, Berlin-Heidelberg, pp , X. Ye, Y. Chen, and F. Huang, MR Image Reconstruction via Sparse Representation: Modeling and Algorithm, Proceedings of International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV 09), pp , X. Ye and Y. Chen, Improvement of Accuracy in Deformable Image Registration in Radiation Therapy, Proceedings of IEEE International Conference on Image Processing (ICIP 08), pp , 2008.

4 Xiaojing Ye 4 Thesis 1. Ph.D. Dissertation, Mathematical Models and Fast Numerical Algorithms for Medical Image Analysis, University of Florida, B.S. Thesis, An L bound for the Neumann Problem of the Poisson Equations, Peking University, (Accepted by College Mathematics, China) Lectures, Colloquium and Conference Talks Invited Lecture Series 1. Summer School on Medical Imaging and Applications, Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai, China, May 31-June 3, Advanced Seminar in Mathematical Theory and Methods in Image Processing, Center of Mathematical Sciences, Zhejiang University, Hangzhou, China, May 10-11, International Summer School on Medical Image Analysis. Center of Mathematical Sciences, Zhejiang University, Hangzhou, China, May 11-22, Invited Presentations 1. Hangzhou Dianzi University, College of Science, Hangzhou, Zhejiang, China. (July 18, 2017). 2. SIAM Conference on Optimization, Vancouver, BC, Canada. (May 26, 2017). 3. Working Group for Problems in Transport and Related Topics in Graphs, Georgia Institute of Technology, Atlanta, GA, USA. (May 9, 2017). 4. SIAM Conference on Computational Science and Engineering, Atlanta, GA, USA. (February 27, 2017). 5. Joint Mathematics Meetings, Atlanta, GA, USA. (January 14, 2017). 6. IEEE International Conference on Big Data, Washington DC, USA. (December 9, 2016). 7. Florida International University, Department of Mathematics & Statistics, Miami, Florida, USA. (November 10, 2016). 8. University of Florida, Department of Mathematics, Gainesville, Florida, USA. (November 3, 2016). 9. The Eighth China-Italy Colloquium on Applied Mathematics, Decentralized consensus optimization with delayed and stochastic gradients, North China Electric Power University, Beijing, China. (September 23, 2016). 10. Hangzhou Dianzi University, College of Science, Hangzhou, Zhejiang, China. (September 22, 2016). 11. The 11th AIMS Conference on Dynamical Systems, Differential Equations and Applications, Orlando, Florida, USA, July 4, 2016.

5 Xiaojing Ye Department of Mathematics, UCLA, Los Angeles, California, USA, May 31, SIAM Conference on Imaging Sciences (SIAM IS 16), Albuquerque, New Mexico, USA, May 23, SIAM Southeast Atlantic Section Conference (SIAM SEAS 16), Athens, Georgia, USA, March 12, International Congress of Industrial and Applied Mathematics (ICIAM 15), Beijing, China, August 14, The 2nd International Conference on Interdisciplinary Applied and Computational Mathematics, Zhejiang University, Hangzhou, China, August 6, Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of Sciences, Beijing, China, July 31, Department of Mathematics, North China Electric Power University, Beijing, China, June 8, International Conference on Image Processing: Theory, Methods and Applications, Henan University, Kaifeng, China, May 22, Institute of Applied Physics and Computational Mathematics, Beijing, China, May 19, SIAM Southeast Atlantic Section Conference (SIAM SEAS 15), Birmingham, Alabama, USA, March 21, Georgia Scientific Computing Symposium, Atlanta, Georgia, USA, February 28, Department of Mathematics, National Sun Yen-Sen University, Taiwan, China, December 29, Department of Mathematics, National Chung-Hsing University, Taiwan, China, December 26, State Key Laboratory of Scientific and Engineering Computing, Academy of Mathematics and System Sciences, Chinese Academy of Science, Beijing, China, July 14, Software Engineering Institute, East China Normal University, Shanghai, China, June 12, Department of Mathematics, Shanghai Jiao Tong University, Shanghai, China, June 11, SIAM Southeast-Atlantic Conference (SIAM SEAS 14), Melbourne, Florida, USA, March 29, SIAM Gators Conference, Gainesville, Florida, USA, March 28, SIAM Annual Meeting (SIAM AN 10), San Diego, California, USA, July 10, International Conference on Interdisciplinary Applied and Computational Mathematics, Hangzhou, Zhejiang, China, June 19, 2013.

6 Xiaojing Ye Department of Mathematics & Statistics, Georgia State University, Atlanta, Georgia, USA, March 1, Department of Mathematics, University of Georgia, Athens, Georgia, USA, September 20, School of Mathematics, Georgia Institute of Technology, Atlanta, Georgia, USA, September Department of Mathematics and Computer Sciences, Emory University, Atlanta, Georgia, USA, August 1, SIAM Conference on Imaging Sciences (SIAM IS 12), Philadelphia, Pennsylvania, USA, May 21, Department of Mathematical Sciences, Delaware State University, Dover, Delaware, USA, April Department of Mathematical Sciences, Georgia Southern University, Statesboro, Georgia, USA, March Department of Mathematics, University of Florida, Gainesville, Florida, November, School of Mathematics, Georgia Institute of Technology, Atlanta, Georgia, USA, September Department of Mathematics, University of Science and Technology of China (USTC), Hefei, China, July 22, Department of Mathematics, Hong Kong Baptist University, Hong Kong, China, July 11, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China, May 20, School of Mathematical Sciences, Peking University, Beijing, China, May 16, Fulton School of Engineering: Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, Arizona, USA, March 24, AMS Southeastern Section Meeting, Statesboro, Georgia, USA, March 13, School of Mathematical Sciences, Peking University, China, April 29, SIAM Conference on Partial Differential Equations (SIAM PD 09), Miami, Florida, USA, December 7, SIAM Gators Student Conference, Gainesville, Florida, USA, March 3, 2009.

7 Xiaojing Ye 7 Professional Activities Reviewer for: Journals: Applied and Computational Harmonic Analysis (ACHA) Computational and Mathematical Methods in Medicine Computational Optimization and Applications Computers and Mathematics with Applications IEEE Transactions on Biomedical Engineering (IEEE-TBME) IEEE Transactions on Medical Imaging (IEEE-TMI) IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI) Information Fusion Inverse Problems and Imaging (IPI) Journal of Machine Learning Research (JMLR) Journal of Mathematical Imaging and Vision (JMIV) PLoS ONE SIAM Journal on Imaging Science (SIIMS) SIAM Journal on Scientific Computing (SISC) Sensing and Imaging Statistics and Probability Letters Grants: National Science Foundation (NSF), USA Research Grant Council (RGC), Hong Kong Student Supervision Ph.D. advisor: Shanah Grant (Math, Georgia State University, 2016 ) Benjamin Sirb (Math, Georgia State University, 2014 ) Ph.D. committee member: Goutham Kamath (Computer Science, Georgia State University, graduated 2016) Lei Shi (Computer Science, Georgia State University, graduated 2016) Liang Zhao (Computer Science, Georgia State University, graduated 2016) Undergraduate research advisor: Andrew Kim (Math, Georgia State University, graduated 2016) Teaching Experience Georgia State University (MATH 4xxx/6xxx for undergrad/graduate cross-listed course)

8 Xiaojing Ye 8 MATH/CSC 4610/6610, Numerical Analysis I, Fall MATH 4661/6661, Analysis I, Spring MATH 4662/6662, Analysis II, Spring MATH 4752/6752, Mathematical Statistics II, Spring MATH 4751/6751, Mathematical Statistics I, Fall MATH 3030, Mathematical Models for Computer Science, Spring MATH 4662/6662, Analysis II, Spring MATH 4661/6661, Analysis I, Fall MATH 4752/6752, Mathematical Statistics II, Spring MATH 4662/6662, Analysis II, Spring MATH 4661/6661, Analysis I, Fall Georgia Institute of Technology MATH 2403 Differential Equations, Summer MATH 2403 Differential Equations, Spring MATH 6643 Numerical Linear Algebra (graduate course), Fall MATH 3770 Statistics and Applications, Spring MATH 3770 Statistics and Applications, Fall University of Florida MAC 2313 Calculus III, Spring MAC 2311 Calculus I (Engineering Sections) (Teaching Assistant), Fall MAC 2311 Calculus I (Teaching Assistant), Fall MAC 2234 Survey of Calculus II (Teaching Assistant), Fall MAC 2311 Calculus I (Teaching Assistant), Spring 2008.