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Journal Articles
- 2024
[j20]Yuling Shang, Songyi Wei, Chunquan Li
, Xiaojing Ye, Lizhen Zeng, Wei Hu, Xiang He, Jinzhuo Zhou:
An End-to-End Mutually Exclusive Autoencoder Method for Analog Circuit Fault Diagnosis. J. Electron. Test. 40(1): 5-18 (2024)- [j19]Qingchao Zhang, Mehrdad Alvandipour, Wenjun Xia, Yi Zhang, Xiaojing Ye, Yunmei Chen:
Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT Reconstruction. J. Sci. Comput. 101(1): 10 (2024) - [j18]Feng Huang, Yunxiang Li, Xiaojing Ye, Jing Wu:
Infrared Image Super-Resolution Network Utilizing the Enhanced Transformer and U-Net. Sensors 24(14): 4686 (2024) - [j17]Nathan Gaby, Xiaojing Ye, Haomin Zhou:
Neural Control of Parametric Solutions for High-Dimensional Evolution PDEs. SIAM J. Sci. Comput. 46(2): 155- (2024) - 2022
- [j16]Qingchao Zhang, Xiaojing Ye, Yunmei Chen:
Extra Proximal-Gradient Network with Learned Regularization for Image Compressive Sensing Reconstruction. J. Imaging 8(7): 178 (2022) - 2021
- [j15]Wanyu Bian, Yunmei Chen, Xiaojing Ye, Qingchao Zhang:
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset. J. Imaging 7(11): 231 (2021) - [j14]Yunmei Chen, Hongcheng Liu, Xiaojing Ye, Qingchao Zhang:
Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction. SIAM J. Imaging Sci. 14(4): 1532-1564 (2021) - 2020
- [j13]Yunmei Chen, Xiaojing Ye, Wei Zhang:
Acceleration techniques for level bundle methods in weakly smooth convex constrained optimization. Comput. Optim. Appl. 77(2): 411-432 (2020) - [j12]Yaohua Zang, Gang Bao, Xiaojing Ye, Haomin Zhou:
Weak adversarial networks for high-dimensional partial differential equations. J. Comput. Phys. 411: 109409 (2020) - 2019
- [j11]Ruilin Li, Xiaojing Ye, Haomin Zhou, Hongyuan Zha:
Learning to Match via Inverse Optimal Transport. J. Mach. Learn. Res. 20: 80:1-80:37 (2019) - [j10]Yunmei Chen, Bin Li, Xiaojing Ye:
A Two-Stage Algorithm for Joint Multimodal Image Reconstruction. SIAM J. Imaging Sci. 12(3): 1425-1463 (2019) - 2018
- [j9]Shui-Nee Chow, Xiaojing Ye, Hongyuan Zha, Haomin Zhou:
Influence prediction for continuous-time information propagation on networks. Networks Heterog. Media 13(4): 567-583 (2018) - [j8]Liang Zhao, Wen-Zhan Song, Xiaojing Ye, Yujie Gu:
Asynchronous broadcast-based decentralized learning in sensor networks. Int. J. Parallel Emergent Distributed Syst. 33(6): 589-607 (2018) - [j7]Benjamin Sirb, Xiaojing Ye:
Decentralized Consensus Algorithm with Delayed and Stochastic Gradients. SIAM J. Optim. 28(2): 1232-1254 (2018) - 2015
- [j6]Shui-Nee Chow, Xiaojing Ye, Haomin Zhou:
Potential induced random teleportation on finite graphs. Comput. Optim. Appl. 61(3): 689-711 (2015) - 2013
- [j5]Yunmei Chen, William W. Hager, Maryam Yashtini, Xiaojing Ye, Hongchao Zhang:
Bregman operator splitting with variable stepsize for total variation image reconstruction. Comput. Optim. Appl. 54(2): 317-342 (2013) - [j4]Haili Zhang, Xiaojing Ye, Yunmei Chen:
An Efficient Algorithm for Multiphase Image Segmentation With Intensity Bias Correction. IEEE Trans. Image Process. 22(10): 3842-3851 (2013) - 2012
- [j3]Yunmei Chen, William W. Hager, Feng Huang, Dzung T. Phan, Xiaojing Ye, Wotao Yin:
Fast Algorithms for Image Reconstruction with Application to Partially Parallel MR Imaging. SIAM J. Imaging Sci. 5(1): 90-118 (2012) - 2011
- [j2]Xiaojing Ye, Yunmei Chen, Wei Lin, Feng Huang:
Fast MR Image Reconstruction for Partially Parallel Imaging With Arbitrary k -Space Trajectories. IEEE Trans. Medical Imaging 30(3): 575-585 (2011) - [j1]Xiaojing Ye, Yunmei Chen, Feng Huang:
Computational Acceleration for MR Image Reconstruction in Partially Parallel Imaging. IEEE Trans. Medical Imaging 30(5): 1055-1063 (2011)
Conference and Workshop Papers
- 2023
- [c27]Shaojun Ma, Mengxue Hou, Xiaojing Ye, Haomin Zhou:
High-Dimensional Optimal Density Control with Wasserstein Metric Matching. CDC 2023: 6813-6818 - [c26]Chi Ding, Qingchao Zhang, Ge Wang, Xiaojing Ye, Yunmei Chen:
Learned Alternating Minimization Algorithm for Dual-Domain Sparse-View CT Reconstruction. MICCAI (10) 2023: 173-183 - [c25]Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha:
Low-rank matrix recovery with unknown correspondence. UAI 2023: 2111-2122 - 2022
- [c24]Nathan Gaby, Fumin Zhang, Xiaojing Ye:
Lyapunov-Net: A Deep Neural Network Architecture for Lyapunov Function Approximation. CDC 2022: 2091-2096 - [c23]Wanyu Bian, Qingchao Zhang, Xiaojing Ye, Yunmei Chen:
A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis. MICCAI (6) 2022: 354-364 - 2021
- [c22]Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha:
A Hypergradient Approach to Robust Regression without Correspondence. ICLR 2021 - 2020
- [c21]Wanyu Bian, Yunmei Chen, Xiaojing Ye:
Deep Parallel MRI Reconstruction Network Without Coil Sensitivities. MLMIR@MICCAI 2020: 17-26 - [c20]Shushan He, Hongyuan Zha, Xiaojing Ye:
Network Diffusions via Neural Mean-Field Dynamics. NeurIPS 2020 - 2018
- [c19]Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, Huan Xu, Hongyuan Zha:
Learning Deep Mean Field Games for Modeling Large Population Behavior. ICLR 2018 - 2017
- [c18]Yichen Wang, Xiaojing Ye, Haomin Zhou, Hongyuan Zha, Le Song:
Linking Micro Event History to Macro Prediction in Point Process Models. AISTATS 2017: 1375-1384 - [c17]Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias B. Khalil, Shuang Li, Le Song, Hongyuan Zha:
Fake News Mitigation via Point Process Based Intervention. ICML 2017: 1097-1106 - [c16]Yichen Wang, Xiaojing Ye, Hongyuan Zha, Le Song:
Predicting User Activity Level In Point Processes With Mass Transport Equation. NIPS 2017: 1645-1655 - [c15]Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Xiaokang Yang, Le Song, Hongyuan Zha:
Wasserstein Learning of Deep Generative Point Process Models. NIPS 2017: 3247-3257 - 2016
- [c14]Benjamin Sirb, Xiaojing Ye:
Consensus optimization with delayed and stochastic gradients on decentralized networks. IEEE BigData 2016: 76-85 - [c13]Mehrdad Farajtabar, Xiaojing Ye, Sahar Harati, Le Song, Hongyuan Zha:
Multistage Campaigning in Social Networks. NIPS 2016: 4718-4726 - 2015
- [c12]Liang Zhao, Wen-Zhan Song, Xiaojing Ye:
Fast decentralized gradient descent method and applications to in-situ seismic tomography. IEEE BigData 2015: 908-917 - 2013
- [c11]Meng Liu, Yunmei Chen, Yuyuan Ouyang, Xiaojing Ye, Feng Huang:
An enhanced approach for simultaneous image reconstruction and sensitivity map estimation in partially parallel imaging. ICIP 2013: 2314-2318 - 2012
- [c10]Haili Zhang, Yunmei Chen, Xiaojing Ye:
A variational multiphase model for simultaneous MR image segmentation and bias correction. ICIP 2012: 2037-2040 - [c9]Maryam Yashtini, William W. Hager, Yunmei Chen, Xiaojing Ye:
Partially parallel MR image reconstruction using sensitivity encoding. ICIP 2012: 2077-2080 - [c8]Frank Nielsen, Meizhu Liu, Xiaojing Ye, Baba C. Vemuri:
Jensen divergence based SPD matrix means and applications. ICPR 2012: 2841-2844 - 2011
- [c7]Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Heng Huang:
Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis. CIKM 2011: 2509-2512 - [c6]Xiaojing Ye, Kefei Liu, Meizhu Liu:
Efficient minimization for dictionary based sparse representation and signal recovery. ISABEL 2011: 105:1-105:5 - [c5]Meizhu Liu, Kefei Liu, Xiaojing Ye:
Find the intrinsic space for multiclass classification. ISABEL 2011: 106:1-106:5 - [c4]Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Marcos Salganicoff:
Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries. MICCAI (3) 2011: 41-48 - 2009
- [c3]Xiaojing Ye, Yunmei Chen, Feng Huang:
MR Image Reconstruction via Sparse Representation: Modeling and Algorithm. IPCV 2009: 10-16 - [c2]Xiaojing Ye, Yunmei Chen:
A New Algorithm for Inverse Consistent Image Registration. ISVC (1) 2009: 855-864 - 2008
- [c1]Xiaojing Ye, Yunmei Chen:
Improvement of accuracy in deformable registration in radiation therapy. ICIP 2008: 2420-2423
Informal and Other Publications
- 2024
- [i28]Nathan Gaby, Xiaojing Ye:
Approximation of Solution Operators for High-dimensional PDEs. CoRR abs/2401.10385 (2024) - [i27]Yijie Jin, Shu Liu, Hao Wu, Xiaojing Ye, Haomin Zhou:
Parameterized Wasserstein Gradient Flow. CoRR abs/2404.19133 (2024) - 2023
- [i26]Nathan Gaby, Xiaojing Ye, Haomin Zhou:
Neural Control of Parametric Solutions for High-dimensional Evolution PDEs. CoRR abs/2302.00045 (2023) - [i25]Hao Wu, Shu Liu, Xiaojing Ye, Haomin Zhou:
Parameterized Wasserstein Hamiltonian Flow. CoRR abs/2306.00191 (2023) - [i24]Chi Ding, Qingchao Zhang, Ge Wang, Xiaojing Ye, Yunmei Chen:
Learned Alternating Minimization Algorithm for Dual-domain Sparse-View CT Reconstruction. CoRR abs/2306.02644 (2023) - [i23]Steven Zhou, Xiaojing Ye:
Approximating High-Dimensional Minimal Surfaces with Physics-Informed Neural Networks. CoRR abs/2309.02589 (2023) - 2022
- [i22]Wanyu Bian, Qingchao Zhang, Xiaojing Ye, Yunmei Chen:
A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis. CoRR abs/2204.03804 (2022) - 2021
- [i21]Qingchao Zhang, Mehrdad Alvandipour, Wenjun Xia, Yi Zhang, Xiaojing Ye, Yunmei Chen:
Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT Reconstruction. CoRR abs/2104.12939 (2021) - [i20]Shushan He, Hongyuan Zha, Xiaojing Ye:
Influence Estimation and Maximization via Neural Mean-Field Dynamics. CoRR abs/2106.02608 (2021) - [i19]Wanyu Bian, Yunmei Chen, Xiaojing Ye:
An Optimal Control Framework for Joint-channel Parallel MRI Reconstruction without Coil Sensitivities. CoRR abs/2109.09738 (2021) - [i18]Nathan Gaby, Fumin Zhang, Xiaojing Ye:
Lyapunov-Net: A Deep Neural Network Architecture for Lyapunov Function Approximation. CoRR abs/2109.13359 (2021) - [i17]Wanyu Bian, Yunmei Chen, Xiaojing Ye, Qingchao Zhang:
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset. CoRR abs/2110.00715 (2021) - [i16]Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha:
Low-rank Matrix Recovery With Unknown Correspondence. CoRR abs/2110.07959 (2021) - 2020
- [i15]Haodong Sun, Haomin Zhou, Hongyuan Zha, Xiaojing Ye:
Learning Cost Functions for Optimal Transport. CoRR abs/2002.09650 (2020) - [i14]Gang Bao, Xiaojing Ye, Yaohua Zang, Haomin Zhou:
Numerical Solution of Inverse Problems by Weak Adversarial Networks. CoRR abs/2002.11340 (2020) - [i13]Qingchao Zhang, Xiaojing Ye, Hongcheng Liu, Yunmei Chen:
A Novel Learnable Gradient Descent Type Algorithm for Non-convex Non-smooth Inverse Problems. CoRR abs/2003.06748 (2020) - [i12]Shushan He, Hongyuan Zha, Xiaojing Ye:
Network Diffusions via Neural Mean-Field Dynamics. CoRR abs/2006.09449 (2020) - [i11]Yunmei Chen, Hongcheng Liu, Xiaojing Ye, Qingchao Zhang:
Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction. CoRR abs/2007.11245 (2020) - [i10]Wanyu Bian, Yunmei Chen, Xiaojing Ye:
Deep Parallel MRI Reconstruction Network Without Coil Sensitivities. CoRR abs/2008.01410 (2020) - [i9]Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha:
A Hypergradient Approach to Robust Regression without Correspondence. CoRR abs/2012.00123 (2020) - 2019
- [i8]Yaohua Zang, Gang Bao, Xiaojing Ye, Haomin Zhou:
Weak Adversarial Networks for High-dimensional Partial Differential Equations. CoRR abs/1907.08272 (2019) - 2018
- [i7]Ruilin Li, Xiaojing Ye, Haomin Zhou, Hongyuan Zha:
Learning to Recommend via Inverse Optimal Matching. CoRR abs/1802.03644 (2018) - 2017
- [i6]Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias Boutros Khalil, Shuang Li, Le Song, Hongyuan Zha:
Fake News Mitigation via Point Process Based Intervention. CoRR abs/1703.07823 (2017) - [i5]Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Le Song, Hongyuan Zha:
Wasserstein Learning of Deep Generative Point Process Models. CoRR abs/1705.08051 (2017) - [i4]Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, Huan Xu, Hongyuan Zha:
Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations. CoRR abs/1711.03156 (2017) - 2016
- [i3]Mehrdad Farajtabar, Xiaojing Ye, Sahar Harati, Le Song, Hongyuan Zha:
Multistage Campaigning in Social Networks. CoRR abs/1606.03816 (2016) - 2015
- [i2]Shui-Nee Chow, Xiaojing Ye, Hongyuan Zha, Haomin Zhou:
Influence Prediction for Continuous-Time Information Propagation on Networks. CoRR abs/1512.05417 (2015) - 2014
- [i1]Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu:
Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis. CoRR abs/1405.4308 (2014)
Coauthor Index
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