Xiaojing Ye

Submitted

  • Lyapunov-net: A deep neural network architecture for Lyapunov function approximation
    N. Gaby, F. Zhang, X. Ye
    [pdf]

  • An Optimal Control Framework for Joint-channel Parallel MRI Reconstruction without Coil Sensitivities
    W. Bian, Y. Chen, X. Ye
    [pdf]

  • Low-rank Matrix Recovery With Unknown Correspondence
    Z. Tang, T.-H. Chang, X. Ye, H. Zha
    [pdf]

  • Learning Cost Functions for Optimal Transport
    S. Ma, H. Sun, H. Zhou, H. Zha, X. Ye
    [pdf]

Published or Accepted

  • Learnable descent algorithm for nonsmooth nonconvex image reconstruction
    Y. Chen, H. Liu, X. Ye, Q. Zhang
    SIAM Journal on Imaging Sciences, 14(4), 1532-1564, 2021.
    [pdf]

  • An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset
    W. Bian, Y. Chen, X. Ye, Q. Zhang
    Journal of Imaging, 7(11), 231, 2021.
    [pdf]

  • Nonsmooth nonconvex LDCT image reconstruction via learned descent algorithm
    Q. Zhang, X. Ye, Y. Chen
    Developments in X-Ray Tomography XIII, 11840, 2021.
    [pdf]

  • (Book chapter) Variational Model-Based Deep Neural Networks for Image Reconstruction
    Y. Chen, X. Ye, Q. Zhang
    Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging: Mathematical Imaging and Vision, Springer International Publishing, 2021.
    [pdf]

  • A Hypergradient Approach to Robust Regression without Correspondence
    Y. Xie, Y. Mao, S. Zuo, H. Xu, X. Ye, T. Zhao, H. Zha
    International Conference on Learning Representation (ICLR), 2021.
    [pdf]

  • Network Diffusions via Neural Mean-Field Dynamics
    S. He, H. Zha, X. Ye
    Advances in Neural Information Processing Systems (NeurIPS), 2020.
    [pdf]

  • Numerical Solution of Inverse Problems by Weak Adversarial Networks
    G. Bao, X. Ye, Y. Zang, H. Zhou
    Inverse Problems, 36(11), 115003, 2020.
    [pdf]

  • [Book chapter] Variational Model with Optimization Algorithm
    Y. Chen, X. Ye, Q. Zhang
    Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, Springer, 2020.
    [pdf]

  • Deep Parallel MRI Reconstruction Network Without Coil Sensitivities
    W. Bian, Y. Chen, X. Ye
    MICCAI Workshop Machine Learning for Medical Image Reconstruction, 2020.
    [pdf]

  • A Jump Stochastic Differential Equation Approach for Influence Prediction on Information Propagation Networks
    Y. Zang, G. Bao, X. Ye, H. Zha, H. Zhou
    Communications in Mathematical Sciences, 18(8), pp. 2341-2359, 2020.
    [pdf]

  • Acceleration Techniques for Level Bundle Methods in Weakly Smooth Convex Constrained Optimization
    Y. Chen, X. Ye, W. Zhang
    Computational Optimization and Applications, 77, pp. 411–432, 2020.
    [pdf]

  • Weak Adversarial Networks for High-dimensional Partial Differential Equations
    Y. Zang, G. Bao, X. Ye, H. Zhou
    Journal of Computational Physics, 411(15), 109409, 2020.
    [pdf]

  • [Book] Machine Learning for Tomographic Imaging
    G. Wang, Y. Zhang, X. Ye, X. Mou
    Institute of Physics (IOP) Publishing, 2019.
    [link]

  • A Two-stage Algorithm for Joint Multimodal Image Reconstruction
    Y. Chen, B. Li, X. Ye
    SIAM Journal on Imaging Sciences, 12(3). pp. 1425-1463, 2019.
    [pdf] [code]

  • A Randomized Incremental Primal Dual Method for Decentralized Consensus Optimization
    C. Chen, Y. Chen, X. Ye
    Analysis and Applications, pp. 1-25, 2019.
    [pdf]

  • Learning to Recommend via Inverse Optimal Matching
    R. Li, X. Ye, H. Zhou, H. Zha
    Journal of Machine Learning Research, 20, pp. 1-37, 2019.
    [pdf]

  • Influence Prediction for Continuous-Time Information Propagation on Networks
    S.-N. Chow, X. Ye, H. Zha, H. Zhou
    Networks and Heterogenous Media, 13(4), pp. 567–583, 2018.
    [pdf]

  • Learning Deep Mean Field Games for Modeling Large Population Behavior
    J. Yang, X. Ye, R. Trivedi, H. Xu, H. Zha (Oral presentation, 2% rate)
    International Conference on Learning Representation (ICLR), 2018.
    [pdf]

  • Decentralized Consensus Algorithm with Delayed and Stochastic Gradients
    B. Sirb, X. Ye
    SIAM Journal on Optimization, 28(2), pp. 1232-1254, 2018.
    [pdf]

  • Wasserstein Learning of Deep Generative Point Process Models
    S. Xiao, M. Farajtabar, X. Ye, J. Yan, L. Song, H. Zha
    Advances in Neural Information Processing Systems (NIPS), 30, pp. 3247-3257, 2017.
    [pdf]

  • Predicting User Activity Level In Point Process Models With Mass Transport Equation
    Y. Wang, X. Ye, H. Zha, L. Song
    Advances in Neural Information Processing Systems (NIPS), 30, pp. 1645-1655, 2017.
    [pdf]

  • Fake News Mitigation via Point Process Based Intervention
    M. Farajtabar, J. Yang, X. Ye, H. Xu, R. Trivedi, E. Khalil, S. Li, L. Song, H. Zha
    International Conference on Machine Learning (ICML), PMLR, 70, pp. 1097-1106, 2017.
    [pdf]

  • Linking Micro Event History to Macro Prediction in Point Process Models
    Y. Wang, X. Ye, H. Zhou, H. Zha, L. Song
    Artificial Intelligence & Statistics (AISTATS), PMLR, 54, pp. 1375-1384, 2017.
    [pdf]

  • Asynchronous Broadcast-based Decentralized Learning in Sensor Networks
    L. Zhao, W.-Z. Song, X. Ye, Y. Gu
    International Journal of Parallel, Emergent and Distributed Systems, pp. 1-19, 2017.
    [pdf]

  • Consensus Optimization with Delayed and Stochastic Gradients on Decentralized Networks
    B. Sirb, X. Ye
    IEEE International Conference on Big Data, pp. 76-85, 2016.
    [pdf]

  • Multistage Campaigning in Social Networks
    M. Farajtabar, X. Ye, S. Harati, L. Song, H. Zha
    Advances in Neural Information Processing Systems (NIPS), 29, pp. 4718-4726, 2016.
    [pdf]

  • Potential Induced Random Teleportation on Finite Graphs
    S.-N. Chow, X. Ye, H. Zhou
    Computational Optimization and Applications, 61(3), pp. 689-711, 2015.
    [pdf]

  • Decentralized Seismic Tomography Computing In Cyber-Physical Sensor Systems
    L. Zhao, W.-Z. Song, L. Shi, X. Ye
    Cyber-Physical Systems, Taylor & Francis, 1(1), pp. 1-22, 2015.
    [pdf]

  • Fast Decentralized Gradient Descent Method and Applications to In-situ Seismic Tomography
    L. Zhao, W.-Z. Song, X. Ye
    IEEE International Conference on Big Data, pp. 908-917, 2015.
    [pdf]

  • Distributed Consensus Optimization for Nonsmooth Image Reconstruction
    X. Ye
    Journal of the Operations Research Society of China, 3(2), pp. 117-138, 2015.
    [pdf]

  • Accelerated Barrier Optimization Compressed Sensing for CT Reconstruction with Improved Convergence
    T. Niu, X. Ye, Q. Fruhauf, M. Petrongolo, L. Zhu
    Physics in Medicine and Biology, 59, pp. 1801-1814, 2014.
    [pdf]

  • An Enhanced Approach for Simultaneous Image Reconstruction and Sensitivity Map Estimation in Partially Parallel Imaging
    M. Liu, Y. Chen, Y. Ouyang, X. Ye, F. Huang
    IEEE Proceedings of International Conference of Image Processing, pp. 2314-2318, 2013.
    [pdf]

  • Fast Total Variation Wavelet Inpainting via Approximated Primal Dual Hybrid Gradient Algorithm
    X. Ye, H. Zhou
    Inverse Problems and Imaging, 7(3), pp. 1031-1050, 2013.
    [pdf] [code]

  • An Efficient Algorithm for Multiphase Image Segmentation with Intensity Bias Correction
    H. Zhang, X. Ye, Y. Chen
    IEEE Transactions on Image Processing, 22(10), pp. 3842-3851, 2013.
    [pdf] [code]

  • Bregman Operator Splitting With Variable Stepsize for Total Variation Image Reconstruction
    Y. Chen, W. W. Hager, M. Yashtini, X. Ye, H. Zhang
    Computational Optimization and Applications, 54(2), pp. 317-342, 2013.
    [pdf] [code]

  • A Variational Multiphase Model for Simultaneous MR Image Segmentation and Bias Correction
    H. Zhang, Y. Chen, X. Ye
    IEEE Proceedings of International Conference of Image Processing, pp. 3077-3180, 2012.
    [pdf] [code]

  • Jensen Divergence Based SPD Matrix Means and Applications
    F. Nielsen, M. Liu, X. Ye, B. Vemuri
    Proceedings of International Conference on Pattern Recognition, pp. 2841-2844, 2012.
    [pdf]

  • Partially Parallel MR Image Reconstruction Using Sensitivity Encoding
    M. Yashtini, W.W. Hager, Y. Chen, X. Ye
    IEEE Proceedings of International Conference of Image Processing, pp. 2077-2080, 2012.
    [pdf]

  • Fast Algorithms for Image Reconstruction Application to Partially Parallel MR Imaging
    Y. Chen, W.W. Hager, F. Huang, D. Phan, X. Ye, W. Yin
    SIAM Journal on Imaging Sciences, 5(1), pp. 90-118, 2012.
    [pdf]

  • Modeling and Computations in Image Registration
    Y. Chen, X. Ye
    Mathematical Modeling and Its Applications, in Chinese, 1(1), pp. 26-37, 2012.
    [pdf]

  • Coarse-to-fine Classification using Parametric and Nonparametric Models for Computer-Aided Diagnosis
    M. Liu, L. Lu, X. Ye, S. Yu
    ACM Information and Knowledge Management (CIKM), pp. 2509-2512, 2011.
    [pdf]

  • [Book chapter] Inverse Consistent Deformable Image Registration
    Y. Chen, X. Ye
    Development of Mathematics - The Legacy of Alladi Ramakrishnan in the Mathematical Sciences
    K. Alladi, J. Klauder and C.R. Rao (Eds.)
    , pp. 419-440, Springer-Verlag, 2010.
    [pdf] [code]

  • Efficient Minimization for Dictionary Based Sparse Representation and Signal Recovery
    X. Ye, K. Liu, M. Liu
    ACM Proc. of Intl. Sym. on App. Sci. Biomed. & Comm. Tech., 105, pp. 1-5, 2011.
    [pdf]

  • Computational Acceleration for MR Image Reconstruction in Partially Parallel Imaging
    X. Ye, Y. Chen, F. Huang
    IEEE Transactions on Medical Imaging, 30(5), pp. 1055-1063, 2011.
    [pdf] [code]

  • Find the Intrinsic Space for Multiclass Classification
    M. Liu, K. Liu, X. Ye
    ACM Proc. of Intl. Sym. on App. Sci. Biomed. & Comm. Tech., 105, pp. 1-5, 2011.
    [pdf]

  • Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries
    M. Liu, L. Lu, X. Ye, S. Yu, M. Salganicoff
    Proc. Intl. Conf. on Medical Image Computing and Computer Assisted Intervention (MICCAI), 3, pp. 41-48, 2011.
    [pdf]

  • Fast MR Image Reconstruction for Partially Parallel Imaging Arbitrary k-Space Trajectories
    X. Ye, Y. Chen, W. Lin, F. Huang
    IEEE Transactions on Medical Imaging, 30(3), pp. 575-585, 2011.
    [pdf]

  • A Novel Method and Fast Algorithm for MR Image Reconstruction Significantly Under-Sampled Data
    Y. Chen, X. Ye, F. Huang
    Inverse Problems and Imaging, 4(2), pp. 223-240, 2010.
    [pdf]

  • A Rapid and Robust Method for Sensitivity Encoding Sparsity Constraints: Self-feeding Sparse SENSE
    F. Huang, Y. Chen, W. Yin, W. Lin, X. Ye, W. Guo, A. Reykowski
    Magnetic Resonance in Medicine, 64(4), pp. 1078-1088, 2010.
    [pdf]

  • A New Algorithm for Inverse Consistent Image Registration
    X. Ye and Y. Chen
    Proceedings of International Symposium on Visual Computing, LNCS, pp. 855-864, 2009.
    [pdf] [code]

  • MR Image Reconstruction via Sparse Representation: Modeling and Algorithm
    X. Ye, Y. Chen, F. Huang
    Proc. Intl. Conf. Image Processing, Computer Vision, and Pattern Recognition, pp. 10-16, 2009.
    [pdf]

  • Improvement of Accuracy in Deformable Image Registration in Radiation Therapy
    X. Ye, Y. Chen
    IEEE Proceedings of International Conference of Image Processing, pp. 2420-2423, 2008.
    [pdf]

Dissertation and Thesis

  • Mathematical Models and Fast Numerical Algorithms for Medical Image Analysis
    Ph.D. Dissertation, University of Florida, May. 2011.
    [pdf]

  • An \(L^\infty\) bound for the Neumann Problem of the Poisson Equations
    B.S. Thesis, Peking University, China, Jul. 2006.
    [pdf]