Xiaojing Ye - RankMe

84 papers A* 3A 3B 5Journal 57Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Mathematical Foundations of Deep Learning. CoRR Xiaojing Ye
2026	J	`jnl`	Transferable Optimization Network for Cross-Domain Image Reconstruction. CoRR Yunmei Chen, Chi Ding, Xiaojing Ye
2025	J	`jnl`	A parameterized Wasserstein Hamiltonian flow approach for solving the Schrödinger equation. CoRR Hao Wu, Shu Liu, Xiaojing Ye, Haomin Zhou
2025	J	`jnl`	Approximation of solution operators for high-dimensional PDEs. J. Comput. Phys. Nathan Gaby, Xiaojing Ye
2025	J	`jnl`	Hamiltonian Theory and Computation of Optimal Probability Density Control in High Dimensions. CoRR Nathan Gaby, Xiaojing Ye
2025	J	`jnl`	LAMA-Net: A Convergent Network Architecture for Dual-Domain Reconstruction. CoRR Chi Ding, Qingchao Zhang, Ge Wang, Xiaojing Ye, Yunmei Chen
2025	J	`jnl`	LAMA-Net: A Convergent Network Architecture for Dual-Domain Reconstruction. J. Math. Imaging Vis. Chi Ding, Qingchao Zhang, Ge Wang, Xiaojing Ye, Yunmei Chen
2025	J	`jnl`	Parameterized Wasserstein Hamiltonian Flow. SIAM J. Numer. Anal. Hao Wu, Shu Liu, Xiaojing Ye, Haomin Zhou
2025	J	`jnl`	Parameterized Wasserstein gradient flow. J. Comput. Phys. Yijie Jin, Shu Liu, Hao Wu, Xiaojing Ye, Haomin Zhou
2024	J	`jnl`	An End-to-End Mutually Exclusive Autoencoder Method for Analog Circuit Fault Diagnosis. J. Electron. Test. Yuling Shang, Songyi Wei, Chunquan Li, Xiaojing Ye, Lizhen Zeng, Wei Hu, Xiang He, Jinzhuo Zhou
2024	J	`jnl`	Approximation of Solution Operators for High-dimensional PDEs. CoRR Nathan Gaby, Xiaojing Ye
2024	J	`jnl`	Infrared Image Super-Resolution Network Utilizing the Enhanced Transformer and U-Net. Sensors Feng Huang, Yunxiang Li, Xiaojing Ye, Jing Wu
2024	J	`jnl`	Neural Control of Parametric Solutions for High-Dimensional Evolution PDEs. SIAM J. Sci. Comput. Nathan Gaby, Xiaojing Ye, Haomin Zhou
2024	J	`jnl`	Parameterized Wasserstein Gradient Flow. CoRR Yijie Jin, Shu Liu, Hao Wu, Xiaojing Ye, Haomin Zhou
2024	J	`jnl`	Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT Reconstruction. J. Sci. Comput. Qingchao Zhang, Mehrdad Alvandipour, Wenjun Xia, Yi Zhang, Xiaojing Ye, Yunmei Chen
2023	J	`jnl`	Approximating High-Dimensional Minimal Surfaces with Physics-Informed Neural Networks. CoRR Steven Zhou, Xiaojing Ye
2023	—	`conf`	High-Dimensional Optimal Density Control with Wasserstein Metric Matching. CDC Shaojun Ma, Mengxue Hou, Xiaojing Ye, Haomin Zhou
2023	—	`conf`	Learned Alternating Minimization Algorithm for Dual-Domain Sparse-View CT Reconstruction. MICCAI (10) Chi Ding, Qingchao Zhang, Ge Wang, Xiaojing Ye, Yunmei Chen
2023	J	`jnl`	Learned Alternating Minimization Algorithm for Dual-domain Sparse-View CT Reconstruction. CoRR Chi Ding, Qingchao Zhang, Ge Wang, Xiaojing Ye, Yunmei Chen
2023	A	`conf`	Low-rank matrix recovery with unknown correspondence. UAI Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha
2023	J	`jnl`	Neural Control of Parametric Solutions for High-dimensional Evolution PDEs. CoRR Nathan Gaby, Xiaojing Ye, Haomin Zhou
2023	J	`jnl`	Parameterized Wasserstein Hamiltonian Flow. CoRR Hao Wu, Shu Liu, Xiaojing Ye, Haomin Zhou
2022	—	`conf`	A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis. MICCAI (6) Wanyu Bian, Qingchao Zhang, Xiaojing Ye, Yunmei Chen
2022	J	`jnl`	A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis. CoRR Wanyu Bian, Qingchao Zhang, Xiaojing Ye, Yunmei Chen
2022	J	`jnl`	Extra Proximal-Gradient Network with Learned Regularization for Image Compressive Sensing Reconstruction. J. Imaging Qingchao Zhang, Xiaojing Ye, Yunmei Chen
2022	—	`conf`	Lyapunov-Net: A Deep Neural Network Architecture for Lyapunov Function Approximation. CDC Nathan Gaby, Fumin Zhang, Xiaojing Ye
2021	A*	`conf`	A Hypergradient Approach to Robust Regression without Correspondence. ICLR Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha
2021	J	`jnl`	An Optimal Control Framework for Joint-channel Parallel MRI Reconstruction without Coil Sensitivities. CoRR Wanyu Bian, Yunmei Chen, Xiaojing Ye
2021	J	`jnl`	An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset. CoRR Wanyu Bian, Yunmei Chen, Xiaojing Ye, Qingchao Zhang
2021	J	`jnl`	An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset. J. Imaging Wanyu Bian, Yunmei Chen, Xiaojing Ye, Qingchao Zhang
2021	J	`jnl`	Influence Estimation and Maximization via Neural Mean-Field Dynamics. CoRR Shushan He, Hongyuan Zha, Xiaojing Ye
2021	J	`jnl`	Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction. SIAM J. Imaging Sci. Yunmei Chen, Hongcheng Liu, Xiaojing Ye, Qingchao Zhang
2021	J	`jnl`	Low-rank Matrix Recovery With Unknown Correspondence. CoRR Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha
2021	J	`jnl`	Lyapunov-Net: A Deep Neural Network Architecture for Lyapunov Function Approximation. CoRR Nathan Gaby, Fumin Zhang, Xiaojing Ye
2021	J	`jnl`	Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT Reconstruction. CoRR Qingchao Zhang, Mehrdad Alvandipour, Wenjun Xia, Yi Zhang, Xiaojing Ye, Yunmei Chen
2020	J	`jnl`	A Hypergradient Approach to Robust Regression without Correspondence. CoRR Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha
2020	J	`jnl`	A Novel Learnable Gradient Descent Type Algorithm for Non-convex Non-smooth Inverse Problems. CoRR Qingchao Zhang, Xiaojing Ye, Hongcheng Liu, Yunmei Chen
2020	J	`jnl`	Acceleration techniques for level bundle methods in weakly smooth convex constrained optimization. Comput. Optim. Appl. Yunmei Chen, Xiaojing Ye, Wei Zhang
2020	—	`conf`	Deep Parallel MRI Reconstruction Network Without Coil Sensitivities. MLMIR@MICCAI Wanyu Bian, Yunmei Chen, Xiaojing Ye
2020	J	`jnl`	Deep Parallel MRI Reconstruction Network Without Coil Sensitivities. CoRR Wanyu Bian, Yunmei Chen, Xiaojing Ye
2020	J	`jnl`	Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction. CoRR Yunmei Chen, Hongcheng Liu, Xiaojing Ye, Qingchao Zhang
2020	J	`jnl`	Learning Cost Functions for Optimal Transport. CoRR Haodong Sun, Haomin Zhou, Hongyuan Zha, Xiaojing Ye
2020	A*	`conf`	Network Diffusions via Neural Mean-Field Dynamics. NeurIPS Shushan He, Hongyuan Zha, Xiaojing Ye
2020	J	`jnl`	Network Diffusions via Neural Mean-Field Dynamics. CoRR Shushan He, Hongyuan Zha, Xiaojing Ye
2020	J	`jnl`	Numerical Solution of Inverse Problems by Weak Adversarial Networks. CoRR Gang Bao, Xiaojing Ye, Yaohua Zang, Haomin Zhou
2020	J	`jnl`	Weak adversarial networks for high-dimensional partial differential equations. J. Comput. Phys. Yaohua Zang, Gang Bao, Xiaojing Ye, Haomin Zhou
2019	J	`jnl`	A Two-Stage Algorithm for Joint Multimodal Image Reconstruction. SIAM J. Imaging Sci. Yunmei Chen, Bin Li, Xiaojing Ye
2019	J	`jnl`	Learning to Match via Inverse Optimal Transport. J. Mach. Learn. Res. Ruilin Li, Xiaojing Ye, Haomin Zhou, Hongyuan Zha
2019	J	`jnl`	Weak Adversarial Networks for High-dimensional Partial Differential Equations. CoRR Yaohua Zang, Gang Bao, Xiaojing Ye, Haomin Zhou
2018	J	`jnl`	Asynchronous broadcast-based decentralized learning in sensor networks. Int. J. Parallel Emergent Distributed Syst. Liang Zhao, Wen-Zhan Song, Xiaojing Ye, Yujie Gu
2018	J	`jnl`	Decentralized Consensus Algorithm with Delayed and Stochastic Gradients. SIAM J. Optim. Benjamin Sirb, Xiaojing Ye
2018	J	`jnl`	Influence prediction for continuous-time information propagation on networks. Networks Heterog. Media Shui-Nee Chow, Xiaojing Ye, Hongyuan Zha, Haomin Zhou
2018	—	`conf`	Learning Deep Mean Field Games for Modeling Large Population Behavior. ICLR Jiachen Yang, Xiaojing Ye, Rakshit S. Trivedi, Huan Xu, Hongyuan Zha
2018	J	`jnl`	Learning to Recommend via Inverse Optimal Matching. CoRR Ruilin Li, Xiaojing Ye, Haomin Zhou, Hongyuan Zha
2017	J	`jnl`	Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations. CoRR Jiachen Yang, Xiaojing Ye, Rakshit S. Trivedi, Huan Xu, Hongyuan Zha
2017	A*	`conf`	Fake News Mitigation via Point Process Based Intervention. ICML Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit S. Trivedi, Elias B. Khalil, Shuang Li, Le Song, Hongyuan Zha
2017	J	`jnl`	Fake News Mitigation via Point Process Based Intervention. CoRR Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit S. Trivedi, Elias Boutros Khalil, Shuang Li, Le Song, Hongyuan Zha
2017	A	`conf`	Linking Micro Event History to Macro Prediction in Point Process Models. AISTATS Yichen Wang, Xiaojing Ye, Haomin Zhou, Hongyuan Zha, Le Song
2017	—	`conf`	Predicting User Activity Level In Point Processes With Mass Transport Equation. NIPS Yichen Wang, Xiaojing Ye, Hongyuan Zha, Le Song
2017	—	`conf`	Wasserstein Learning of Deep Generative Point Process Models. NIPS Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Xiaokang Yang, Le Song, Hongyuan Zha
2017	J	`jnl`	Wasserstein Learning of Deep Generative Point Process Models. CoRR Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Le Song, Hongyuan Zha
2016	—	`conf`	Consensus optimization with delayed and stochastic gradients on decentralized networks. IEEE BigData Benjamin Sirb, Xiaojing Ye
2016	—	`conf`	Multistage Campaigning in Social Networks. NIPS Mehrdad Farajtabar, Xiaojing Ye, Sahar Harati, Le Song, Hongyuan Zha
2016	J	`jnl`	Multistage Campaigning in Social Networks. CoRR Mehrdad Farajtabar, Xiaojing Ye, Sahar Harati, Le Song, Hongyuan Zha
2015	—	`conf`	Fast decentralized gradient descent method and applications to in-situ seismic tomography. IEEE BigData Liang Zhao, Wen-Zhan Song, Xiaojing Ye
2015	J	`jnl`	Influence Prediction for Continuous-Time Information Propagation on Networks. CoRR Shui-Nee Chow, Xiaojing Ye, Hongyuan Zha, Haomin Zhou
2015	J	`jnl`	Potential induced random teleportation on finite graphs. Comput. Optim. Appl. Shui-Nee Chow, Xiaojing Ye, Haomin Zhou
2014	J	`jnl`	Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis. CoRR Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu
2013	J	`jnl`	An Efficient Algorithm for Multiphase Image Segmentation With Intensity Bias Correction. IEEE Trans. Image Process. Haili Zhang, Xiaojing Ye, Yunmei Chen
2013	B	`conf`	An enhanced approach for simultaneous image reconstruction and sensitivity map estimation in partially parallel imaging. ICIP Meng Liu, Yunmei Chen, Yuyuan Ouyang, Xiaojing Ye, Feng Huang
2013	J	`jnl`	Bregman operator splitting with variable stepsize for total variation image reconstruction. Comput. Optim. Appl. Yunmei Chen, William W. Hager, Maryam Yashtini, Xiaojing Ye, Hongchao Zhang
2012	B	`conf`	A variational multiphase model for simultaneous MR image segmentation and bias correction. ICIP Haili Zhang, Yunmei Chen, Xiaojing Ye
2012	J	`jnl`	Fast Algorithms for Image Reconstruction with Application to Partially Parallel MR Imaging. SIAM J. Imaging Sci. Yunmei Chen, William W. Hager, Feng Huang, Dzung T. Phan, Xiaojing Ye, Wotao Yin
2012	B	`conf`	Jensen divergence based SPD matrix means and applications. ICPR Frank Nielsen, Meizhu Liu, Xiaojing Ye, Baba C. Vemuri
2012	B	`conf`	Partially parallel MR image reconstruction using sensitivity encoding. ICIP Maryam Yashtini, William W. Hager, Yunmei Chen, Xiaojing Ye
2011	A	`conf`	Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis. CIKM Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Heng Huang
2011	J	`jnl`	Computational Acceleration for MR Image Reconstruction in Partially Parallel Imaging. IEEE Trans. Medical Imaging Xiaojing Ye, Yunmei Chen, Feng Huang
2011	—	`conf`	Efficient minimization for dictionary based sparse representation and signal recovery. ISABEL Xiaojing Ye, Kefei Liu, Meizhu Liu
2011	J	`jnl`	Fast MR Image Reconstruction for Partially Parallel Imaging With Arbitrary k -Space Trajectories. IEEE Trans. Medical Imaging Xiaojing Ye, Yunmei Chen, Wei Lin, Feng Huang
2011	—	`conf`	Find the intrinsic space for multiclass classification. ISABEL Meizhu Liu, Kefei Liu, Xiaojing Ye
2011	—	`conf`	Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries. MICCAI (3) Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Marcos Salganicoff
2009	—	`conf`	A New Algorithm for Inverse Consistent Image Registration. ISVC (1) Xiaojing Ye, Yunmei Chen
2009	—	`conf`	MR Image Reconstruction via Sparse Representation: Modeling and Algorithm. IPCV Xiaojing Ye, Yunmei Chen, Feng Huang
2008	B	`conf`	Improvement of accuracy in deformable registration in radiation therapy. ICIP Xiaojing Ye, Yunmei Chen