Yuling Jiao - RankMe

129 papers A* 7B 1Journal 120Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond the Prompt in Large Language Models: Comprehension, In-Context Learning, and Chain-of-Thought. CoRR Yuling Jiao, Yanming Lai, Huazhen Lin, Wensen Ma, Houduo Qi, Defeng Sun
2026	J	`jnl`	Deep Bootstrap. CoRR Jinyuan Chang, Yuling Jiao, Lican Kang, Junjie Shi
2026	J	`jnl`	Inference-Time Alignment for Diffusion Models via Doob's Matching. CoRR Jinyuan Chang, Chenguang Duan, Yuling Jiao, Yi Xu, Jerry Zhijian Yang
2026	J	`jnl`	Sampling via Stochastic Interpolants by Langevin-based Velocity and Initialization Estimation in Flow ODEs. CoRR Chenguang Duan, Yuling Jiao, Gabriele Steidl, Christian J. Walder, Jerry Zhijian Yang, Ruizhe Zhang
2026	J	`jnl`	Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective. J. Mach. Learn. Res. Yuling Jiao, Yanming Lai, Yang Wang, Bokai Yan
2025	J	`jnl`	An ant colony hybrid simulated annealing algorithm for collaborative optimization of robotic mixed-model parallel two-sided assembly lines balancing. Comput. Oper. Res. Yuling Jiao, Yang Wang, Xinyue Su, Fuyu Wang
2025	J	`jnl`	Approximation Bounds for Transformer Networks with Application to Regression. CoRR Yuling Jiao, Yanming Lai, Defeng Sun, Yang Wang, Bokai Yan
2025	J	`jnl`	Boosting Statistic Learning with Synthetic Data from Pretrained Large Models. CoRR Jialong Jiang, Wenkang Hu, Jian Huang, Yuling Jiao, Xu Liu
2025	J	`jnl`	CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation. CoRR Ningxin Gui, Qianghuai Jia, Feijun Jiang, Yuling Jiao, Dechun Wang, Jerry Zhijian Yang
2025	J	`jnl`	Convergence analysis of deep Ritz method with over-parameterization. Neural Networks Zhao Ding, Yuling Jiao, Xiliang Lu, Peiying Wu, Jerry Zhijian Yang
2025	J	`jnl`	DRM Revisited: A Complete Error Analysis. J. Mach. Learn. Res. Yuling Jiao, Ruoxuan Li, Peiying Wu, Jerry Zhijian Yang, Pingwen Zhang
2025	J	`jnl`	Deep contrastive representation learning for supervised tasks. Pattern Recognit. Chenguang Duan, Yuling Jiao, Lican Kang, Jerry Zhijian Yang, Fusheng Zhou
2025	J	`jnl`	Distribution Matching for Self-Supervised Transfer Learning. CoRR Yuling Jiao, Wensen Ma, Defeng Sun, Hansheng Wang, Yang Wang
2025	J	`jnl`	Error Analysis of Three-Layer Neural Network Trained With PGD for Deep Ritz Method. IEEE Trans. Inf. Theory Yuling Jiao, Yanming Lai, Yang Wang
2025	J	`jnl`	Model Free Prediction With Uncertainty Assessment. IEEE Trans. Inf. Theory Yuling Jiao, Lican Kang, Jin Liu, Heng Peng, Heng Zuo
2025	J	`jnl`	Provable Diffusion Posterior Sampling for Bayesian Inversion. CoRR Jinyuan Chang, Chenguang Duan, Yuling Jiao, Ruoxuan Li, Jerry Zhijian Yang, Cheng Yuan
2025	J	`jnl`	Relative Entropy Gradient Sampler for Unnormalized Distribution. J. Comput. Graph. Stat. Xingdong Feng, Yuan Gao, Jian Huang, Yuling Jiao, Xu Liu
2025	J	`jnl`	Schrödinger-Föllmer Sampler. IEEE Trans. Inf. Theory Jian Huang, Yuling Jiao, Lican Kang, Xu Liao, Jin Liu, Yanyan Liu
2025	J	`jnl`	Semi-Supervised Deep Sobolev Regression: Estimation and Variable Selection by ReQU Neural Network. IEEE Trans. Inf. Theory Zhao Ding, Chenguang Duan, Yuling Jiao, Jerry Zhijian Yang
2025	J	`jnl`	Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective. CoRR Yuling Jiao, Yanming Lai, Yang Wang, Bokai Yan
2025	J	`jnl`	Wasserstein Distributionally Robust Nonparametric Regression. CoRR Changyu Liu, Yuling Jiao, Junhui Wang, Jian Huang
2024	J	`jnl`	A Gaussian mixture distribution-based adaptive sampling method for physics-informed neural networks. Eng. Appl. Artif. Intell. Yuling Jiao, Di Li, Xiliang Lu, Jerry Zhijian Yang, Cheng Yuan
2024	J	`jnl`	A Stabilized Physics Informed Neural Networks Method for Wave Equations. CoRR Yuling Jiao, Yuhui Liu, Jerry Zhijian Yang, Cheng Yuan
2024	J	`jnl`	An error analysis for deep binary classification with sigmoid loss. Inf. Sci. Changshi Li, Yuling Jiao, Jerry Zhijian Yang
2024	J	`jnl`	Approximation Bounds for Recurrent Neural Networks with Application to Regression. CoRR Yuling Jiao, Yang Wang, Bokai Yan
2024	J	`jnl`	Characteristic Learning for Provable One Step Generation. CoRR Zhao Ding, Chenguang Duan, Yuling Jiao, Ruoxuan Li, Jerry Zhijian Yang, Pingwen Zhang
2024	J	`jnl`	Convergence Analysis of Flow Matching in Latent Space with Transformers. CoRR Yuling Jiao, Yanming Lai, Yang Wang, Bokai Yan
2024	J	`jnl`	Convergence of Continuous Normalizing Flows for Learning Probability Distributions. CoRR Yuan Gao, Jian Huang, Yuling Jiao, Shurong Zheng
2024	J	`jnl`	Current density impedance imaging with PINNs. J. Comput. Appl. Math. Chenguang Duan, Junjun Huang, Yuling Jiao, Xiliang Lu, Jerry Zhijian Yang
2024	J	`jnl`	DRM Revisited: A Complete Error Analysis. CoRR Yuling Jiao, Ruoxuan Li, Peiying Wu, Jerry Zhijian Yang, Pingwen Zhang
2024	J	`jnl`	Deep Conditional Generative Learning: Model and Error Analysis. CoRR Jinyuan Chang, Zhao Ding, Yuling Jiao, Ruoxuan Li, Jerry Zhijian Yang
2024	J	`jnl`	Deep Dimension Reduction for Supervised Representation Learning. IEEE Trans. Inf. Theory Jian Huang, Yuling Jiao, Xu Liao, Jin Liu, Zhou Yu
2024	J	`jnl`	Deep Nonparametric Quantile Regression under Covariate Shift. J. Mach. Learn. Res. Xingdong Feng, Xin He, Yuling Jiao, Lican Kang, Caixing Wang
2024	J	`jnl`	Deep Ritz Method for Elliptical Multiple Eigenvalue Problems. J. Sci. Comput. Xia Ji, Yuling Jiao, Xiliang Lu, Pengcheng Song, Fengru Wang
2024	J	`jnl`	Deep Transfer Learning: Model Framework and Error Analysis. CoRR Yuling Jiao, Huazhen Lin, Yuchen Luo, Jerry Zhijian Yang
2024	J	`jnl`	Error Analysis of Three-Layer Neural Network Trained with PGD for Deep Ritz Method. CoRR Yuling Jiao, Yanming Lai, Yang Wang
2024	J	`jnl`	Gaussian Interpolation Flows. J. Mach. Learn. Res. Yuan Gao, Jian Huang, Yuling Jiao
2024	J	`jnl`	Latent Schr{\"o}dinger Bridge Diffusion Model for Generative Learning. CoRR Yuling Jiao, Lican Kang, Huazhen Lin, Jin Liu, Heng Zuo
2024	J	`jnl`	Model Free Prediction with Uncertainty Assessment. CoRR Yuling Jiao, Lican Kang, Jin Liu, Heng Peng, Heng Zuo
2024	A*	`conf`	Neural Network Approximation for Pessimistic Offline Reinforcement Learning. AAAI Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu
2024	A*	`conf`	Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits. NeurIPS Zhan Yu, Qiuhao Chen, Yuling Jiao, Yinan Li, Xiliang Lu, Xin Wang, Jerry Zhijian Yang
2024	J	`jnl`	Nonasymptotic Bounds for Adversarial Excess Risk under Misspecified Models. SIAM J. Math. Data Sci. Changyu Liu, Yuling Jiao, Junhui Wang, Jian Huang
2024	J	`jnl`	Nonlinear Assimilation with Score-based Sequential Langevin Sampling. CoRR Zhao Ding, Chenguang Duan, Yuling Jiao, Jerry Zhijian Yang, Cheng Yuan, Pingwen Zhang
2024	J	`jnl`	Nonparametric Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks. J. Mach. Learn. Res. Guohao Shen, Yuling Jiao, Yuanyuan Lin, Joel L. Horowitz, Jian Huang
2024	J	`jnl`	Quantum Compiling with Reinforcement Learning on a Superconducting Processor. CoRR 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
2024	J	`jnl`	Semi-Supervised Deep Sobolev Regression: Estimation, Variable Selection and Beyond. CoRR Zhao Ding, Chenguang Duan, Yuling Jiao, Jerry Zhijian Yang
2024	J	`jnl`	Unsupervised Transfer Learning via Adversarial Contrastive Training. CoRR Chenguang Duan, Yuling Jiao, Huazhen Lin, Wensen Ma, Jerry Zhijian Yang
2023	J	`jnl`	Convergence Analysis of the Deep Galerkin Method for Weak Solutions. CoRR Yuling Jiao, Yanming Lai, Yang Wang, Haizhao Yang, Yunfei Yang
2023	J	`jnl`	Correction to: Just Least Squares: Binary Compressive Sampling with Low Generative Intrinsic Dimension. J. Sci. Comput. Yuling Jiao, Dingwei Li, Min Liu, Xiliang Lu, Yuanyuan Yang
2023	J	`jnl`	Current density impedance imaging with PINNs. CoRR Chenguang Duan, Yuling Jiao, Xiliang Lu, Jerry Zhijian Yang
2023	J	`jnl`	Deep Neural Networks with ReLU-Sine-Exponential Activations Break Curse of Dimensionality in Approximation on Hölder Class. SIAM J. Math. Anal. Yuling Jiao, Yanming Lai, Xiliang Lu, Fengru Wang, Jerry Zhijian Yang, Yuanyuan Yang
2023	J	`jnl`	Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression. CoRR Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang
2023	A*	`conf`	Fast Excess Risk Rates via Offset Rademacher Complexity. ICML Chenguang Duan, Yuling Jiao, Lican Kang, Xiliang Lu, Jerry Zhijian Yang
2023	J	`jnl`	GAS: A Gaussian Mixture Distribution-Based Adaptive Sampling Method for PINNs. CoRR Yuling Jiao, Di Li, Xiliang Lu, Jerry Zhijian Yang, Cheng Yuan
2023	J	`jnl`	Gaussian Interpolation Flows. CoRR Yuan Gao, Jian Huang, Yuling Jiao
2023	J	`jnl`	Global Optimization via Schrödinger-Föllmer Diffusion. SIAM J. Control. Optim. Yin Dai, Yuling Jiao, Lican Kang, Xiliang Lu, Jerry Zhijian Yang
2023	B	`conf`	Invariant and Sufficient Supervised Representation Learning. IJCNN Junyu Zhu, Xu Liao, Changshi Li, Yuling Jiao, Jin Liu, Xiliang Lu
2023	J	`jnl`	Just Least Squares: Binary Compressive Sampling with Low Generative Intrinsic Dimension. J. Sci. Comput. Yuling Jiao, Dingwei Li, Min Liu, Xiliang Lu, Yuanyuan Yang
2023	J	`jnl`	Neural Network Approximation for Pessimistic Offline Reinforcement Learning. CoRR Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu
2023	J	`jnl`	Non-Asymptotic Bounds for Adversarial Excess Risk under Misspecified Models. CoRR Changyu Liu, Yuling Jiao, Junhui Wang, Jian Huang
2023	J	`jnl`	Over-parameterized Deep Nonparametric Regression for Dependent Data with Its Applications to Reinforcement Learning. J. Mach. Learn. Res. Xingdong Feng, Yuling Jiao, Lican Kang, Baqun Zhang, Fan Zhou
2023	J	`jnl`	PALM: a powerful and adaptive latent model for prioritizing risk variants with functional annotations. Bioinform. Xinyi Yu, Jiashun Xiao, Mingxuan Cai, Yuling Jiao, Xiang Wan, Jin Liu, Can Yang
2023	J	`jnl`	Provable Advantage of Parameterized Quantum Circuit in Function Approximation. CoRR Zhan Yu, Qiuhao Chen, Yuling Jiao, Yinan Li, Xiliang Lu, Xin Wang, Jerry Zhijian Yang
2023	J	`jnl`	Uncertain Multi-Objective Hazardous Materials Transport Route Planning Considering Resilience and Low-Carbon. IEEE Access Zhanzhong Wang, Yan Wang, Yuling Jiao
2022	J	`jnl`	A data-driven line search rule for support recovery in high-dimensional data analysis. Comput. Stat. Data Anal. Peili Li, Yuling Jiao, Xiliang Lu, Lican Kang
2022	J	`jnl`	An Error Analysis of Generative Adversarial Networks for Learning Distributions. J. Mach. Learn. Res. Jian Huang, Yuling Jiao, Zhen Li, Shiao Liu, Yang Wang, Yunfei Yang
2022	J	`jnl`	Approximation bounds for norm constrained neural networks with applications to regression and GANs. CoRR Yuling Jiao, Yang Wang, Yunfei Yang
2022	A*	`conf`	Approximation with CNNs in Sobolev Space: with Applications to Classification. NeurIPS Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang
2022	J	`jnl`	Balancing of parallel U-shaped assembly lines with a heuristic algorithm based on bidirectional priority values. Concurr. Eng. Res. Appl. Yuling Jiao, Xue Deng, Ming-juan Li, Xiao-cui Xing, Binjie Xu
2022	J	`jnl`	Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning. CoRR Qiuhao Chen, Yuxuan Du, Qi Zhao, Yuling Jiao, Xiliang Lu, Xingyao Wu
2022	J	`jnl`	Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks. CoRR Guohao Shen, Yuling Jiao, Yuanyuan Lin, Joel L. Horowitz, Jian Huang
2022	J	`jnl`	GSDAR: a fast Newton algorithm for ℓ Comput. Stat. Jian Huang, Yuling Jiao, Lican Kang, Jin Liu, Yanyan Liu, Xiliang Lu
2022	J	`jnl`	Modeling and solving the two-sided U-type assembly line balance based on a heuristic algorithm of a multi-priority rule. Concurr. Eng. Res. Appl. Yuling Jiao, Xue Deng, Lin Li, Xin-ran Liu, Nan Cao
2022	J	`jnl`	PSNA: A pathwise semismooth Newton algorithm for sparse recovery with optimal local convergence and oracle properties. Signal Process. Jian Huang, Yuling Jiao, Xiliang Lu, Yueyong Shi, Qinglong Yang, Yuanyuan Yang
2022	J	`jnl`	Sample-Efficient Sparse Phase Retrieval via Stochastic Alternating Minimization. IEEE Trans. Signal Process. Jian-Feng Cai, Yuling Jiao, Xiliang Lu, Juntao You
2021	J	`jnl`	A Data-Driven Line Search Rule for Support Recovery in High-dimensional Data Analysis. CoRR Peili Li, Yuling Jiao, Xiliang Lu, Lican Kang
2021	J	`jnl`	An error analysis of generative adversarial networks for learning distributions. CoRR Jian Huang, Yuling Jiao, Zhen Li, Shiao Liu, Yang Wang, Yunfei Yang
2021	J	`jnl`	Analysis of Deep Ritz Methods for Laplace Equations with Dirichlet Boundary Conditions. CoRR Chenguang Duan, Yuling Jiao, Yanming Lai, Xiliang Lu, Qimeng Quan, Jerry Zhijian Yang
2021	J	`jnl`	Assembly line balance research methods, literature and development review. Concurr. Eng. Res. Appl. Yuling Jiao, Hanqi Jin, Xiao-cui Xing, Ming-juan Li, Xinran Liu
2021	J	`jnl`	Convergence Analysis for the PINNs. CoRR Yuling Jiao, Yanming Lai, Dingwei Li, Xiliang Lu, Yang Wang, Jerry Zhijian Yang
2021	J	`jnl`	Convergence Analysis of Schr{ö}dinger-F{ö}llmer Sampler without Convexity. CoRR Yuling Jiao, Lican Kang, Yanyan Liu, Youzhou Zhou
2021	J	`jnl`	Convergence Rate Analysis for Deep Ritz Method. CoRR Chenguang Duan, Yuling Jiao, Yanming Lai, Xiliang Lu, Jerry Zhijian Yang
2021	J	`jnl`	Coordinate Descent for MCP/SCAD Penalized Least Squares Converges Linearly. CoRR Yuling Jiao, Dingwei Li, Min Liu, Xiliang Lu
2021	—	`conf`	Deep Generative Learning via Euler Particle Transport. MSML Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu, Xiliang Lu, Jerry Zhijian Yang
2021	A*	`conf`	Deep Generative Learning via Schrödinger Bridge. ICML Gefei Wang, Yuling Jiao, Qian Xu, Yang Wang, Can Yang
2021	J	`jnl`	Deep Generative Learning via Schrödinger Bridge. CoRR Gefei Wang, Yuling Jiao, Qian Xu, Yang Wang, Can Yang
2021	J	`jnl`	Deep Neural Networks with ReLU-Sine-Exponential Activations Break Curse of Dimensionality on Hölder Class. CoRR Yuling Jiao, Yanming Lai, Xiliang Lu, Jerry Zhijian Yang
2021	J	`jnl`	Distributed quantile regression for massive heterogeneous data. Neurocomputing Aijun Hu, Yuling Jiao, Yanyan Liu, Yueyong Shi, Yuanshan Wu
2021	J	`jnl`	Error Analysis of Deep Ritz Methods for Elliptic Equations. CoRR Yuling Jiao, Yanming Lai, Yisu Luo, Yang Wang, Yunfei Yang
2021	J	`jnl`	Fitting jump additive models. Comput. Stat. Data Anal. Yicheng Kang, Yueyong Shi, Yuling Jiao, Wendong Li, Dongdong Xiang
2021	J	`jnl`	Just Least Squares: Binary Compressive Sampling with Low Generative Intrinsic Dimension. CoRR Yuling Jiao, Dingwei Li, Min Liu, Xiangliang Lu, Yuanyuan Yang
2021	J	`jnl`	Non-Asymptotic Error Bounds for Bidirectional GANs. CoRR Shiao Liu, Yunfei Yang, Jian Huang, Yuling Jiao, Yang Wang
2021	A*	`conf`	Non-asymptotic Error Bounds for Bidirectional GANs. NeurIPS Shiao Liu, Yunfei Yang, Jian Huang, Yuling Jiao, Yang Wang
2021	J	`jnl`	Non-asymptotic Excess Risk Bounds for Classification with Deep Convolutional Neural Networks. CoRR Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang
2021	J	`jnl`	Relative Entropy Gradient Sampler for Unnormalized Distributions. CoRR Xingdong Feng, Yuan Gao, Jian Huang, Yuling Jiao, Xu Liu
2021	J	`jnl`	Sample-Efficient Sparse Phase Retrieval via Stochastic Alternating Minimization. CoRR Jian-Feng Cai, Yuling Jiao, Xiliang Lu, Juntao You
2021	J	`jnl`	Wasserstein Generative Learning of Conditional Distribution. CoRR Shiao Liu, Xingyu Zhou, Yuling Jiao, Jian Huang
2020	J	`jnl`	A Semismooth Newton Algorithm for High-Dimensional Nonconvex Sparse Learning. IEEE Trans. Neural Networks Learn. Syst. Yueyong Shi, Jian Huang, Yuling Jiao, Qinglong Yang
2020	J	`jnl`	A Support Detection and Root Finding Approach for Learning High-dimensional Generalized Linear Models. CoRR Jian Huang, Yuling Jiao, Lican Kang, Jin Liu, Yanyan Liu, Xiliang Lu
2020	J	`jnl`	CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies. Bioinform. Yi Yang, Xingjie Shi, Yuling Jiao, Jian Huang, Min Chen, Xiang Zhou, Lei Sun, Xinyi Lin, Can Yang, Jin Liu
2020	J	`jnl`	Deep Dimension Reduction for Supervised Representation Learning. CoRR Jian Huang, Yuling Jiao, Xu Liao, Jin Liu, Zhou Yu
2020	J	`jnl`	Generative Learning With Euler Particle Transport. CoRR Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu, Xiliang Lu, Jerry Zhijian Yang
2020	J	`jnl`	Learning Implicit Generative Models with Theoretical Guarantees. CoRR Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu
2020	J	`jnl`	Robust Decoding from Binary Measurements with Cardinality Constraint Least Squares. CoRR Zhao Ding, Junjun Huang, Yuling Jiao, Xiliang Lu, Jerry Zhijian Yang
2019	J	`jnl`	A Nonconvex Model with Minimax Concave Penalty for Image Restoration. J. Sci. Comput. Juntao You, Yuling Jiao, Xiliang Lu, Tieyong Zeng
2019	J	`jnl`	A stochastic alternating minimizing method for sparse phase retrieval. CoRR Jianfeng Cai, Yuling Jiao, Xiliang Lu, Juntao You
2019	A*	`conf`	Deep Generative Learning via Variational Gradient Flow. ICML Yuan Gao, Yuling Jiao, Yang Wang, Yao Wang, Can Yang, Shunkang Zhang
2019	J	`jnl`	Deep Generative Learning via Variational Gradient Flow. CoRR Yuan Gao, Yuling Jiao, Yang Wang, Yao Wang, Can Yang, Shunkang Zhang
2019	J	`jnl`	VIMCO: variational inference for multiple correlated outcomes in genome-wide association studies. Bioinform. Xingjie Shi, Yuling Jiao, Yi Yang, Ching-Yu Cheng, Can Yang, Xinyi Lin, Jin Liu
2019	J	`jnl`	Variable Selection via Generalized SELO-Penalized Cox Regression Models. J. Syst. Sci. Complex. Yueyong Shi, Deyi Xu, Yongxiu Cao, Yuling Jiao
2019	J	`jnl`	Wasserstein-Wasserstein Auto-Encoders. CoRR Shunkang Zhang, Yuan Gao, Yuling Jiao, Jin Liu, Yang Wang, Can Yang
2018	J	`jnl`	A Constructive Approach to $L_0$ Penalized Regression. J. Mach. Learn. Res. Jian Huang, Yuling Jiao, Yanyan Liu, Xiliang Lu
2018	J	`jnl`	Multi-objective storage location allocation optimization and simulation analysis of automated warehouse based on multi-population genetic algorithm. Concurr. Eng. Res. Appl. Yuling Jiao, Xiao-cui Xing, Peng Zhang, Liang-cheng Xu, Xinran Liu
2018	J	`jnl`	Robust Decoding from 1-Bit Compressive Sampling with Ordinary and Regularized Least Squares. SIAM J. Sci. Comput. Jian Huang, Yuling Jiao, Xiliang Lu, Liping Zhu
2018	J	`jnl`	SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties. CoRR Jian Huang, Yuling Jiao, Xiliang Lu, Yueyong Shi, Qinglong Yang
2017	J	`jnl`	A lower bound based smoothed quasi-Newton algorithm for group bridge penalized regression. Commun. Stat. Simul. Comput. Yongxiu Cao, Jian Huang, Yuling Jiao, Yanyan Liu
2017	J	`jnl`	Group Sparse Recovery via the ℓ IEEE Trans. Signal Process. Yuling Jiao, Bangti Jin, Xiliang Lu
2017	J	`jnl`	Iterative Soft/Hard Thresholding With Homotopy Continuation for Sparse Recovery. IEEE Signal Process. Lett. Yuling Jiao, Bangti Jin, Xiliang Lu
2016	J	`jnl`	Alternating Direction Method of Multipliers for Linear Inverse Problems. SIAM J. Numer. Anal. Yuling Jiao, Qinian Jin, Xiliang Lu, Weijie Wang
2016	J	`jnl`	An Alternating Direction Method with Continuation for Nonconvex Low Rank Minimization. J. Sci. Comput. Zheng-Fen Jin, Zhongping Wan, Yuling Jiao, Xiliang Lu
2016	J	`jnl`	Group Sparse Recovery via the ℓ CoRR Yuling Jiao, Bangti Jin, Xiliang Lu
2016	J	`jnl`	Stripe Noise Separation and Removal in Remote Sensing Images by Consideration of the Global Sparsity and Local Variational Properties. IEEE Trans. Geosci. Remote. Sens. Xinxin Liu, Xiliang Lu, Huanfeng Shen, Qiangqiang Yuan, Yuling Jiao, Liangpei Zhang
2015	J	`jnl`	A multi-parameter regularization model for image restoration. Signal Process. Qibin Fan, Dandan Jiang, Yuling Jiao
2015	J	`jnl`	Numerical identification of a sparse Robin coefficient. Adv. Comput. Math. Zhiyuan Sun, Yuling Jiao, Bangti Jin, Xiliang Lu
2014	J	`jnl`	A Primal Dual Active Set Algorithm With Continuation for Compressed Sensing. IEEE Trans. Signal Process. Qibin Fan, Yuling Jiao, Xiliang Lu
2014	J	`jnl`	A Primal Dual Active Set with Continuation Algorithm for the \ell^0-Regularized Optimization Problem. CoRR Yuling Jiao, Bangti Jin, Xiliang Lu
2014	J	`jnl`	Image Deblurring Via Combined Total Variation and Framelet. Circuits Syst. Signal Process. Fenge Chen, Yuling Jiao, Liyu Lin, Qianqing Qin
2013	J	`jnl`	A Primal Dual Active Set Algorithm with Continuation for Compressed Sensing. CoRR Qibin Fan, Yuling Jiao, Xiliang Lu
2013	J	`jnl`	Hybrid regularization image deblurring in the presence of impulsive noise. J. Vis. Commun. Image Represent. Fenge Chen, Yuling Jiao, Guorui Ma, Qianqing Qin