Xiliang Lu

According to our database, Xiliang Lu authored at least 67 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sparse Membership Affinity Lasso for Fuzzy Clustering.

Junjun Huang, Xiliang Lu, Jerry Zhijian Yang

IEEE Trans. Fuzzy Syst., March, 2024

Deep Ritz Method for Elliptical Multiple Eigenvalue Problems.

Xia Ji, Yuling Jiao, Xiliang Lu, Pengcheng Song, Fengru Wang

J. Sci. Comput., February, 2024

Current density impedance imaging with PINNs.

Chenguang Duan, Junjun Huang, Yuling Jiao, Xiliang Lu, Jerry Zhijian Yang

J. Comput. Appl. Math., 2024

A Gaussian mixture distribution-based adaptive sampling method for physics-informed neural networks.

Yuling Jiao, Di Li, Xiliang Lu, Jerry Zhijian Yang, Cheng Yuan

Eng. Appl. Artif. Intell., 2024

GraHTP: A Provable Newton-like Algorithm for Sparse Phase Retrieval.

Licheng Dai, Xiliang Lu, Juntao You

CoRR, 2024

Quantum Compiling with Reinforcement Learning on a Superconducting Processor.

Z. T. Wang, Qiuhao Chen, Yuxuan Du, Z. H. Yang, Xiaoxia Cai, Kaixuan Huang, Jingning Zhang, Kai Xu, Jun Du, Yinan Li, Yuling Jiao, Xingyao Wu, Wu Liu, Xiliang Lu, Huikai Xu, Yirong Jin, Ruixia Wang, Haifeng Yu, S. P. Zhao

CoRR, 2024

Accelerating Ill-conditioned Hankel Matrix Recovery via Structured Newton-like Descent.

HanQin Cai, Longxiu Huang, Xiliang Lu, Juntao You

CoRR, 2024

Numerical Recovery of the Diffusion Coefficient in Diffusion Equations from Terminal Measurement.

Bangti Jin, Xiliang Lu, Qimeng Quan, Zhi Zhou

CoRR, 2024

On the robustness of double-word addition algorithms.

Yuanyuan Yang, XinYu Lyu, Sida He, Xiliang Lu, Ji Qi, Zhihao Li

CoRR, 2024

Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction.

Ziyang Xu, Keqin Peng, Liang Ding, Dacheng Tao, Xiliang Lu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Neural Network Approximation for Pessimistic Offline Reinforcement Learning.

Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Global Optimization via Schrödinger-Föllmer Diffusion.

Yin Dai, Yuling Jiao, Lican Kang, Xiliang Lu, Jerry Zhijian Yang

SIAM J. Control. Optim., October, 2023

Deep Neural Networks with ReLU-Sine-Exponential Activations Break Curse of Dimensionality in Approximation on Hölder Class.

Yuling Jiao, Yanming Lai, Xiliang Lu, Fengru Wang, Jerry Zhijian Yang, Yuanyuan Yang

SIAM J. Math. Anal., August, 2023

Correction to: Just Least Squares: Binary Compressive Sampling with Low Generative Intrinsic Dimension.

Yuling Jiao, Dingwei Li, Min Liu, Xiliang Lu, Yuanyuan Yang

J. Sci. Comput., August, 2023

Just Least Squares: Binary Compressive Sampling with Low Generative Intrinsic Dimension.

Yuling Jiao, Dingwei Li, Min Liu, Xiliang Lu, Yuanyuan Yang

J. Sci. Comput., April, 2023

Provable Advantage of Parameterized Quantum Circuit in Function Approximation.

Zhan Yu, Qiuhao Chen, Yuling Jiao, Yinan Li, Xiliang Lu, Xin Wang, Jerry Zhijian Yang

CoRR, 2023

Current density impedance imaging with PINNs.

Chenguang Duan, Yuling Jiao, Xiliang Lu, Jerry Zhijian Yang

CoRR, 2023

GAS: A Gaussian Mixture Distribution-Based Adaptive Sampling Method for PINNs.

Yuling Jiao, Di Li, Xiliang Lu, Jerry Zhijian Yang, Cheng Yuan

CoRR, 2023

Invariant and Sufficient Supervised Representation Learning.

Junyu Zhu, Xu Liao, Changshi Li, Yuling Jiao, Jin Liu, Xiliang Lu

Proceedings of the International Joint Conference on Neural Networks, 2023

Fast Excess Risk Rates via Offset Rademacher Complexity.

Chenguang Duan, Yuling Jiao, Lican Kang, Xiliang Lu, Jerry Zhijian Yang

Proceedings of the International Conference on Machine Learning, 2023

2022

Imaging Anisotropic Conductivities from Current Densities.

Huan Liu, Bangti Jin, Xiliang Lu

SIAM J. Imaging Sci., June, 2022

Sample-Efficient Sparse Phase Retrieval via Stochastic Alternating Minimization.

Jian-Feng Cai, Yuling Jiao, Xiliang Lu, Juntao You

IEEE Trans. Signal Process., 2022

One-Step High-Quality NDVI Time-Series Reconstruction by Joint Modeling of Gradual Vegetation Change and Negatively Biased Atmospheric Contamination.

Xinxin Liu, Huanfeng Shen, Qiangqiang Yuan, Xiliang Lu, Shutao Li

IEEE Trans. Geosci. Remote. Sens., 2022

PSNA: A pathwise semismooth Newton algorithm for sparse recovery with optimal local convergence and oracle properties.

Jian Huang, Yuling Jiao, Xiliang Lu, Yueyong Shi, Qinglong Yang, Yuanyuan Yang

Signal Process., 2022

GSDAR: a fast Newton algorithm for ℓ ₀ regularized generalized linear models with statistical guarantee.

Jian Huang, Yuling Jiao, Lican Kang, Jin Liu, Yanyan Liu, Xiliang Lu

Comput. Stat., 2022

A data-driven line search rule for support recovery in high-dimensional data analysis.

Peili Li, Yuling Jiao, Xiliang Lu, Lican Kang

Comput. Stat. Data Anal., 2022

Stochastic mirror descent method for linear ill-posed problems in Banach spaces.

Qinian Jin, Xiliang Lu, Liuying Zhang

CoRR, 2022

Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning.

Qiuhao Chen, Yuxuan Du, Qi Zhao, Yuling Jiao, Xiliang Lu, Xingyao Wu

CoRR, 2022

Imaging Conductivity from Current Density Magnitude using Neural Networks.

Bangti Jin, Xiyao Li, Xiliang Lu

CoRR, 2022

Convergence Rate Analysis of Galerkin Approximation of Inverse Potential Problem.

Bangti Jin, Xiliang Lu, Qimeng Quan, Zhi Zhou

CoRR, 2022

2021

Analysis of Deep Ritz Methods for Laplace Equations with Dirichlet Boundary Conditions.

Chenguang Duan, Yuling Jiao, Yanming Lai, Xiliang Lu, Qimeng Quan, Jerry Zhijian Yang

CoRR, 2021

Coordinate Descent for MCP/SCAD Penalized Least Squares Converges Linearly.

Yuling Jiao, Dingwei Li, Min Liu, Xiliang Lu

CoRR, 2021

Convergence Analysis for the PINNs.

Yuling Jiao, Yanming Lai, Dingwei Li, Xiliang Lu, Yang Wang, Jerry Zhijian Yang

CoRR, 2021

Convergence Rate Analysis for Deep Ritz Method.

Chenguang Duan, Yuling Jiao, Yanming Lai, Xiliang Lu, Jerry Zhijian Yang

CoRR, 2021

Deep Neural Networks with ReLU-Sine-Exponential Activations Break Curse of Dimensionality on Hölder Class.

Yuling Jiao, Yanming Lai, Xiliang Lu, Jerry Zhijian Yang

CoRR, 2021

Deep Generative Learning via Euler Particle Transport.

Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu, Xiliang Lu, Jerry Zhijian Yang

Proceedings of the Mathematical and Scientific Machine Learning, 2021

2020

Membership Affinity Lasso for Fuzzy Clustering.

Li Guo, Long Chen, Xiliang Lu, C. L. Philip Chen

IEEE Trans. Fuzzy Syst., 2020

Generative Learning With Euler Particle Transport.

Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu, Xiliang Lu, Jerry Zhijian Yang

CoRR, 2020

Robust Decoding from Binary Measurements with Cardinality Constraint Least Squares.

Zhao Ding, Junjun Huang, Yuling Jiao, Xiliang Lu, Jerry Zhijian Yang

CoRR, 2020

Sparse Signal Recovery From Phaseless Measurements via Hard Thresholding Pursuit.

Jian-Feng Cai, Jingzhi Li, Xiliang Lu, Juntao You

CoRR, 2020

A Support Detection and Root Finding Approach for Learning High-dimensional Generalized Linear Models.

Jian Huang, Yuling Jiao, Lican Kang, Jin Liu, Yanyan Liu, Xiliang Lu

CoRR, 2020

2019

A Nonconvex Model with Minimax Concave Penalty for Image Restoration.

Juntao You, Yuling Jiao, Xiliang Lu, Tieyong Zeng

J. Sci. Comput., 2019

A stochastic alternating minimizing method for sparse phase retrieval.

Jianfeng Cai, Yuling Jiao, Xiliang Lu, Juntao You

CoRR, 2019

Robust Nonconvex Nonnegative Low-rank Representation.

Yin-Ping Zhao, Xiliang Lu, Long Chen, Jinyu Tian, C. L. Philip Chen

Proceedings of the International Conference on Fuzzy Theory and Its Applications, 2019

2018

A Universal Destriping Framework Combining 1-D and 2-D Variational Optimization Methods.

Xinxin Liu, Huanfeng Shen, Qiangqiang Yuan, Xiliang Lu, Chunping Zhou

IEEE Trans. Geosci. Remote. Sens., 2018

Robust Decoding from 1-Bit Compressive Sampling with Ordinary and Regularized Least Squares.

Jian Huang, Yuling Jiao, Xiliang Lu, Liping Zhu

SIAM J. Sci. Comput., 2018

A Constructive Approach to $L_0$ Penalized Regression.

Jian Huang, Yuling Jiao, Yanyan Liu, Xiliang Lu

J. Mach. Learn. Res., 2018

SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties.

Jian Huang, Yuling Jiao, Xiliang Lu, Yueyong Shi, Qinglong Yang

CoRR, 2018

Oblique Stripe Removal in Remote Sensing Images via Oriented Variation.

Xinxin Liu, Xiliang Lu, Huanfeng Shen, Qiangqiang Yuan, Liangpei Zhang

CoRR, 2018

2017

Group Sparse Recovery via the ℓ⁰(ℓ²) Penalty: Theory and Algorithm.

Yuling Jiao, Bangti Jin, Xiliang Lu

IEEE Trans. Signal Process., 2017

Iterative Soft/Hard Thresholding With Homotopy Continuation for Sparse Recovery.

Yuling Jiao, Bangti Jin, Xiliang Lu

IEEE Signal Process. Lett., 2017

Computation of Time Optimal Control Problems Governed by Linear Ordinary Differential Equations.

Xiliang Lu, Lijuan Wang, Qishu Yan

J. Sci. Comput., 2017

2016

Stripe Noise Separation and Removal in Remote Sensing Images by Consideration of the Global Sparsity and Local Variational Properties.

Xinxin Liu, Xiliang Lu, Huanfeng Shen, Qiangqiang Yuan, Yuling Jiao, Liangpei Zhang

IEEE Trans. Geosci. Remote. Sens., 2016

Alternating Direction Method of Multipliers for Linear Inverse Problems.

Yuling Jiao, Qinian Jin, Xiliang Lu, Weijie Wang

SIAM J. Numer. Anal., 2016

An Alternating Direction Method with Continuation for Nonconvex Low Rank Minimization.

Zheng-Fen Jin, Zhongping Wan, Yuling Jiao, Xiliang Lu

J. Sci. Comput., 2016

A simple finite element method for boundary value problems with a Riemann-Liouville derivative.

Bangti Jin, Raytcho D. Lazarov, Xiliang Lu, Zhi Zhou

J. Comput. Appl. Math., 2016

2015

Finite element approximation to the extremal eigenvalue problem for inhomogenous materials.

Kewei Liang, Xiliang Lu, Jerry Zhijian Yang

Numerische Mathematik, 2015

Two-level quadratic equal-order stabilized method for the Stokes eigenvalue problem.

Zhifeng Weng, Jerry Zhijian Yang, Xiliang Lu

Int. J. Comput. Math., 2015

Numerical identification of a sparse Robin coefficient.

Zhiyuan Sun, Yuling Jiao, Bangti Jin, Xiliang Lu

Adv. Comput. Math., 2015

2014

A Primal Dual Active Set Algorithm With Continuation for Compressed Sensing.

Qibin Fan, Yuling Jiao, Xiliang Lu

IEEE Trans. Signal Process., 2014

A Primal Dual Active Set with Continuation Algorithm for the \ell^0-Regularized Optimization Problem.

Yuling Jiao, Bangti Jin, Xiliang Lu

CoRR, 2014

2013

Optimal control for elliptic systems with pointwise euclidean norm constraints on the controls.

Karl Kunisch, Xiliang Lu

Math. Program., 2013

2012

Numerical identification of a Robin coefficient in parabolic problems.

Bangti Jin, Xiliang Lu

Math. Comput., 2012

2010

Optimal Control for an Elliptic System with Polygonal State Constraints.

Karl Kunisch, Kewei Liang, Xiliang Lu

SIAM J. Control. Optim., 2010

Error estimate of the P₁ nonconforming finite element method for the penalized unsteady Navier-Stokes equations.

Xiliang Lu, Ping Lin

Numerische Mathematik, 2010

2008

Long Time Numerical Solution of the Navier--Stokes Equations Based on a Sequential Regularization Formulation.

Ping Lin, Jian-Guo Liu, Xiliang Lu

SIAM J. Sci. Comput., 2008

Analysis of a sequential regularization method for the unsteady Navier-Stokes equations.

Xiliang Lu, Ping Lin, Jian-Guo Liu

Math. Comput., 2008