Yuling Jiao

According to our database, Yuling Jiao authored at least 93 papers between 2013 and 2025.

Collaborative distances:

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

2025

Deep contrastive representation learning for supervised tasks.

Chenguang Duan, Yuling Jiao, Lican Kang, Jerry Zhijian Yang, Fusheng Zhou

Pattern Recognit., 2025

2024

Deep Dimension Reduction for Supervised Representation Learning.

Jian Huang, Yuling Jiao, Xu Liao, Jin Liu, Zhou Yu

IEEE Trans. Inf. Theory, May, 2024

Deep Ritz Method for Elliptical Multiple Eigenvalue Problems.

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

J. Sci. Comput., February, 2024

Nonasymptotic Bounds for Adversarial Excess Risk under Misspecified Models.

Changyu Liu, Yuling Jiao, Junhui Wang, Jian Huang

SIAM J. Math. Data Sci., 2024

Nonparametric Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks.

Guohao Shen, Yuling Jiao, Yuanyuan Lin, Joel L. Horowitz, Jian Huang

J. Mach. Learn. Res., 2024

Gaussian Interpolation Flows.

Yuan Gao, Jian Huang, Yuling Jiao

J. Mach. Learn. Res., 2024

Current density impedance imaging with PINNs.

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

J. Comput. Appl. Math., 2024

An error analysis for deep binary classification with sigmoid loss.

Changshi Li, Yuling Jiao, Jerry Zhijian Yang

Inf. Sci., 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

Nonlinear Assimilation with Score-based Sequential Langevin Sampling.

Zhao Ding, Chenguang Duan, Yuling Jiao, Jerry Zhijian Yang, Cheng Yuan, Pingwen Zhang

CoRR, 2024

Deep Transfer Learning: Model Framework and Error Analysis.

Yuling Jiao, Huazhen Lin, Yuchen Luo, Jerry Zhijian Yang

CoRR, 2024

Approximation Bounds for Recurrent Neural Networks with Application to Regression.

Yuling Jiao, Yang Wang, Bokai Yan

CoRR, 2024

Unsupervised Transfer Learning via Adversarial Contrastive Training.

Chenguang Duan, Yuling Jiao, Huazhen Lin, Wensen Ma, Jerry Zhijian Yang

CoRR, 2024

DRM Revisited: A Complete Error Analysis.

Yuling Jiao, Ruoxuan Li, Peiying Wu, Jerry Zhijian Yang, Pingwen Zhang

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

Model Free Prediction with Uncertainty Assessment.

Yuling Jiao, Lican Kang, Jin Liu, Heng Peng, Heng Zuo

CoRR, 2024

Error Analysis of Three-Layer Neural Network Trained with PGD for Deep Ritz Method.

Yuling Jiao, Yanming Lai, Yang Wang

CoRR, 2024

Characteristic Learning for Provable One Step Generation.

Zhao Ding, Chenguang Duan, Yuling Jiao, Ruoxuan Li, Jerry Zhijian Yang, Pingwen Zhang

CoRR, 2024

Latent Schr{\"o}dinger Bridge Diffusion Model for Generative Learning.

Yuling Jiao, Lican Kang, Huazhen Lin, Jin Liu, Heng Zuo

CoRR, 2024

Convergence Analysis of Flow Matching in Latent Space with Transformers.

Yuling Jiao, Yanming Lai, Yang Wang, Bokai Yan

CoRR, 2024

Convergence of Continuous Normalizing Flows for Learning Probability Distributions.

Yuan Gao, Jian Huang, Yuling Jiao, Shurong Zheng

CoRR, 2024

A Stabilized Physics Informed Neural Networks Method for Wave Equations.

Yuling Jiao, Yuhui Liu, Jerry Zhijian Yang, Cheng Yuan

CoRR, 2024

Deep Conditional Generative Learning: Model and Error Analysis.

Jinyuan Chang, Zhao Ding, Yuling Jiao, Ruoxuan Li, Jerry Zhijian Yang

CoRR, 2024

Semi-Supervised Deep Sobolev Regression: Estimation, Variable Selection and Beyond.

Zhao Ding, Chenguang Duan, Yuling Jiao, Jerry Zhijian Yang

CoRR, 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

PALM: a powerful and adaptive latent model for prioritizing risk variants with functional annotations.

Xinyi Yu, Jiashun Xiao, Mingxuan Cai, Yuling Jiao, Xiang Wan, Jin Liu, Can Yang

Bioinform., February, 2023

Over-parameterized Deep Nonparametric Regression for Dependent Data with Its Applications to Reinforcement Learning.

Xingdong Feng, Yuling Jiao, Lican Kang, Baqun Zhang, Fan Zhou

J. Mach. Learn. Res., 2023

Gaussian Interpolation Flows.

Yuan Gao, Jian Huang, Yuling Jiao

CoRR, 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

Non-Asymptotic Bounds for Adversarial Excess Risk under Misspecified Models.

Changyu Liu, Yuling Jiao, Junhui Wang, Jian Huang

CoRR, 2023

Current density impedance imaging with PINNs.

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

CoRR, 2023

Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression.

Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang

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

Convergence Analysis of the Deep Galerkin Method for Weak Solutions.

Yuling Jiao, Yanming Lai, Yang Wang, Haizhao Yang, Yunfei Yang

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

Sample-Efficient Sparse Phase Retrieval via Stochastic Alternating Minimization.

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

IEEE Trans. Signal Process., 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

An Error Analysis of Generative Adversarial Networks for Learning Distributions.

Jian Huang, Yuling Jiao, Zhen Li, Shiao Liu, Yang Wang, Yunfei Yang

J. Mach. Learn. Res., 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

<i>ℓ</i>₀-Regularized high-dimensional accelerated failure time model.

Chao Cheng, Xingdong Feng, Jian Huang, Yuling Jiao, Shuang Zhang

Comput. Stat. Data Anal., 2022

Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks.

Guohao Shen, Yuling Jiao, Yuanyuan Lin, Joel L. Horowitz, Jian Huang

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

Approximation bounds for norm constrained neural networks with applications to regression and GANs.

Yuling Jiao, Yang Wang, Yunfei Yang

CoRR, 2022

Approximation with CNNs in Sobolev Space: with Applications to Classification.

Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Distributed quantile regression for massive heterogeneous data.

Aijun Hu, Yuling Jiao, Yanyan Liu, Yueyong Shi, Yuanshan Wu

Neurocomputing, 2021

Fitting jump additive models.

Yicheng Kang, Yueyong Shi, Yuling Jiao, Wendong Li, Dongdong Xiang

Comput. Stat. Data Anal., 2021

Wasserstein Generative Learning of Conditional Distribution.

Shiao Liu, Xingyu Zhou, Yuling Jiao, Jian Huang

CoRR, 2021

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

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

CoRR, 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

Relative Entropy Gradient Sampler for Unnormalized Distributions.

Xingdong Feng, Yuan Gao, Jian Huang, Yuling Jiao, Xu Liu

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

Error Analysis of Deep Ritz Methods for Elliptic Equations.

Yuling Jiao, Yanming Lai, Yisu Luo, Yang Wang, Yunfei Yang

CoRR, 2021

Convergence Analysis of Schr{ö}dinger-F{ö}llmer Sampler without Convexity.

Yuling Jiao, Lican Kang, Yanyan Liu, Youzhou Zhou

CoRR, 2021

Non-asymptotic Excess Risk Bounds for Classification with Deep Convolutional Neural Networks.

Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang

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

Non-asymptotic Error Bounds for Bidirectional GANs.

Shiao Liu, Yunfei Yang, Jian Huang, Yuling Jiao, Yang Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Deep Generative Learning via Schrödinger Bridge.

Gefei Wang, Yuling Jiao, Qian Xu, Yang Wang, Can Yang

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

A Semismooth Newton Algorithm for High-Dimensional Nonconvex Sparse Learning.

Yueyong Shi, Jian Huang, Yuling Jiao, Qinglong Yang

IEEE Trans. Neural Networks Learn. 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

Learning Implicit Generative Models with Theoretical Guarantees.

Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu

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

CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies.

Yi Yang, Xingjie Shi, Yuling Jiao, Jian Huang, Min Chen, Xiang Zhou, Lei Sun, Xinyi Lin, Can Yang, Jin Liu

Bioinform., 2020

2019

A Nonconvex Model with Minimax Concave Penalty for Image Restoration.

Juntao You, Yuling Jiao, Xiliang Lu, Tieyong Zeng

J. Sci. Comput., 2019

Variable Selection via Generalized SELO-Penalized Cox Regression Models.

Yueyong Shi, Deyi Xu, Yongxiu Cao, Yuling Jiao

J. Syst. Sci. Complex., 2019

A stochastic alternating minimizing method for sparse phase retrieval.

Jianfeng Cai, Yuling Jiao, Xiliang Lu, Juntao You

CoRR, 2019

Wasserstein-Wasserstein Auto-Encoders.

Shunkang Zhang, Yuan Gao, Yuling Jiao, Jin Liu, Yang Wang, Can Yang

CoRR, 2019

VIMCO: variational inference for multiple correlated outcomes in genome-wide association studies.

Xingjie Shi, Yuling Jiao, Yi Yang, Ching-Yu Cheng, Can Yang, Xinyi Lin, Jin Liu

Bioinform., 2019

Deep Generative Learning via Variational Gradient Flow.

Yuan Gao, Yuling Jiao, Yang Wang, Yao Wang, Can Yang, Shunkang Zhang

Proceedings of the 36th International Conference on Machine Learning, 2019

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

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

A lower bound based smoothed quasi-Newton algorithm for group bridge penalized regression.

Yongxiu Cao, Jian Huang, Yuling Jiao, Yanyan Liu

Commun. Stat. Simul. 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

2015

A multi-parameter regularization model for image restoration.

Qibin Fan, Dandan Jiang, Yuling Jiao

Signal Process., 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

Image Deblurring Via Combined Total Variation and Framelet.

Fenge Chen, Yuling Jiao, Liyu Lin, Qianqing Qin

Circuits Syst. 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

Hybrid regularization image deblurring in the presence of impulsive noise.

Fenge Chen, Yuling Jiao, Guorui Ma, Qianqing Qin

J. Vis. Commun. Image Represent., 2013