Yuling Jiao

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 89

Top Topics

Generalized Linear

Top Venues

J. Sci. Comput.

IEEE Trans. Signal Process.

Publications

Yuan Gao, Jian Huang, Yuling Jiao, Shurong Zheng
Convergence of Continuous Normalizing Flows for Learning Probability Distributions. CoRR (2024)
Yuling Jiao, Yanming Lai, Yang Wang
Error Analysis of Three-Layer Neural Network Trained with PGD for Deep Ritz Method. CoRR (2024)
Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu
Neural Network Approximation for Pessimistic Offline Reinforcement Learning. AAAI (2024)
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
Quantum Compiling with Reinforcement Learning on a Superconducting Processor. CoRR (2024)
Yuling Jiao, Yuhui Liu, Jerry Zhijian Yang, Cheng Yuan
A Stabilized Physics Informed Neural Networks Method for Wave Equations. CoRR (2024)
Xia Ji, Yuling Jiao, Xiliang Lu, Pengcheng Song, Fengru Wang
Deep Ritz Method for Elliptical Multiple Eigenvalue Problems. J. Sci. Comput. 98 (2) (2024)
Changshi Li, Yuling Jiao, Jerry Zhijian Yang
An error analysis for deep binary classification with sigmoid loss. Inf. Sci. 681 (2024)
Yuling Jiao, Yanming Lai, Yang Wang, Bokai Yan
Convergence Analysis of Flow Matching in Latent Space with Transformers. CoRR (2024)
Yuling Jiao, Lican Kang, Huazhen Lin, Jin Liu, Heng Zuo
Latent Schr{\"o}dinger Bridge Diffusion Model for Generative Learning. CoRR (2024)
Zhao Ding, Chenguang Duan, Yuling Jiao, Ruoxuan Li, Jerry Zhijian Yang, Pingwen Zhang
Characteristic Learning for Provable One Step Generation. CoRR (2024)
Zhao Ding, Chenguang Duan, Yuling Jiao, Jerry Zhijian Yang
Semi-Supervised Deep Sobolev Regression: Estimation, Variable Selection and Beyond. CoRR (2024)
Yuling Jiao, Lican Kang, Jin Liu, Heng Peng, Heng Zuo
Model Free Prediction with Uncertainty Assessment. CoRR (2024)
Jian Huang, Yuling Jiao, Xu Liao, Jin Liu, Zhou Yu
Deep Dimension Reduction for Supervised Representation Learning. IEEE Trans. Inf. Theory 70 (5) (2024)
Yuling Jiao, Ruoxuan Li, Peiying Wu, Jerry Zhijian Yang, Pingwen Zhang
DRM Revisited: A Complete Error Analysis. CoRR (2024)
Chenguang Duan, Junjun Huang, Yuling Jiao, Xiliang Lu, Jerry Zhijian Yang
Current density impedance imaging with PINNs. J. Comput. Appl. Math. 452 (2024)
Jinyuan Chang, Zhao Ding, Yuling Jiao, Ruoxuan Li, Jerry Zhijian Yang
Deep Conditional Generative Learning: Model and Error Analysis. CoRR (2024)
Yuling Jiao, Di Li, Xiliang Lu, Jerry Zhijian Yang, Cheng Yuan
A Gaussian mixture distribution-based adaptive sampling method for physics-informed neural networks. Eng. Appl. Artif. Intell. 135 (2024)
Yuling Jiao, Dingwei Li, Min Liu, Xiliang Lu, Yuanyuan Yang
Correction to: Just Least Squares: Binary Compressive Sampling with Low Generative Intrinsic Dimension. J. Sci. Comput. 96 (2) (2023)
Yuling Jiao, Yanming Lai, Xiliang Lu, Fengru Wang, Jerry Zhijian Yang, Yuanyuan Yang
Deep Neural Networks with ReLU-Sine-Exponential Activations Break Curse of Dimensionality in Approximation on Hölder Class. SIAM J. Math. Anal. 55 (4) (2023)
Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu
Neural Network Approximation for Pessimistic Offline Reinforcement Learning. CoRR (2023)
Junyu Zhu, Xu Liao, Changshi Li, Yuling Jiao, Jin Liu, Xiliang Lu
Invariant and Sufficient Supervised Representation Learning. IJCNN (2023)
Chenguang Duan, Yuling Jiao, Xiliang Lu, Jerry Zhijian Yang, Cheng Yuan
Deep Neural Network Approximation of Composition Functions: with application to PINNs. CoRR (2023)
Changyu Liu, Yuling Jiao, Junhui Wang, Jian Huang
Non-Asymptotic Bounds for Adversarial Excess Risk under Misspecified Models. CoRR (2023)
Chenguang Duan, Yuling Jiao, Lican Kang, Xiliang Lu, Jerry Zhijian Yang
Fast Excess Risk Rates via Offset Rademacher Complexity. ICML (2023)
Yuling Jiao, Dingwei Li, Min Liu, Xiliang Lu, Yuanyuan Yang
Just Least Squares: Binary Compressive Sampling with Low Generative Intrinsic Dimension. J. Sci. Comput. 95 (1) (2023)
Yuling Jiao, Yanming Lai, Yang Wang, Haizhao Yang, Yunfei Yang
Convergence Analysis of the Deep Galerkin Method for Weak Solutions. CoRR (2023)
Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang
Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression. CoRR (2023)
Chenguang Duan, Yuling Jiao, Xiliang Lu, Jerry Zhijian Yang
Current density impedance imaging with PINNs. CoRR (2023)
Xinyi Yu, Jiashun Xiao, Mingxuan Cai, Yuling Jiao, Xiang Wan, Jin Liu, Can Yang
PALM: a powerful and adaptive latent model for prioritizing risk variants with functional annotations. Bioinform. 39 (2) (2023)
Yuan Gao, Jian Huang, Yuling Jiao
Gaussian Interpolation Flows. CoRR (2023)
Yuling Jiao, Di Li, Xiliang Lu, Jerry Zhijian Yang, Cheng Yuan
GAS: A Gaussian Mixture Distribution-Based Adaptive Sampling Method for PINNs. CoRR (2023)
Zhan Yu, Qiuhao Chen, Yuling Jiao, Yinan Li, Xiliang Lu, Xin Wang, Jerry Zhijian Yang
Provable Advantage of Parameterized Quantum Circuit in Function Approximation. CoRR (2023)
Yin Dai, Yuling Jiao, Lican Kang, Xiliang Lu, Jerry Zhijian Yang
Global Optimization via Schrödinger-Föllmer Diffusion. SIAM J. Control. Optim. 61 (5) (2023)
Peili Li, Yuling Jiao, Xiliang Lu, Lican Kang
A data-driven line search rule for support recovery in high-dimensional data analysis. Comput. Stat. Data Anal. 174 (2022)
Jian Huang, Yuling Jiao, Xiliang Lu, Yueyong Shi, Qinglong Yang, Yuanyuan Yang
PSNA: A pathwise semismooth Newton algorithm for sparse recovery with optimal local convergence and oracle properties. Signal Process. 194 (2022)
Jian-Feng Cai, Yuling Jiao, Xiliang Lu, Juntao You
Sample-Efficient Sparse Phase Retrieval via Stochastic Alternating Minimization. IEEE Trans. Signal Process. 70 (2022)
Jian Huang, Yuling Jiao, Lican Kang, Jin Liu, Yanyan Liu, Xiliang Lu
regularized generalized linear models with statistical guarantee. Comput. Stat. 37 (1) (2022)
Jian Huang, Yuling Jiao, Zhen Li, Shiao Liu, Yang Wang, Yunfei Yang
An Error Analysis of Generative Adversarial Networks for Learning Distributions. J. Mach. Learn. Res. 23 (2022)
Guohao Shen, Yuling Jiao, Yuanyuan Lin, Joel L. Horowitz, Jian Huang
Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks. CoRR (2022)
Qiuhao Chen, Yuxuan Du, Qi Zhao, Yuling Jiao, Xiliang Lu, Xingyao Wu
Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning. CoRR (2022)
Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang
Approximation with CNNs in Sobolev Space: with Applications to Classification. NeurIPS (2022)
Chao Cheng, Xingdong Feng, Jian Huang, Yuling Jiao, Shuang Zhang
-Regularized high-dimensional accelerated failure time model. Comput. Stat. Data Anal. 170 (2022)
Yuling Jiao, Yang Wang, Yunfei Yang
Approximation bounds for norm constrained neural networks with applications to regression and GANs. CoRR (2022)
Chenguang Duan, Yuling Jiao, Yanming Lai, Xiliang Lu, Qimeng Quan, Jerry Zhijian Yang
Analysis of Deep Ritz Methods for Laplace Equations with Dirichlet Boundary Conditions. CoRR (2021)
Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu, Xiliang Lu, Jerry Zhijian Yang
Deep Generative Learning via Euler Particle Transport. MSML (2021)
Yuling Jiao, Yanming Lai, Yisu Luo, Yang Wang, Yunfei Yang
Error Analysis of Deep Ritz Methods for Elliptic Equations. CoRR (2021)
Yuling Jiao, Yanming Lai, Xiliang Lu, Jerry Zhijian Yang
Deep Neural Networks with ReLU-Sine-Exponential Activations Break Curse of Dimensionality on Hölder Class. CoRR (2021)
Chenguang Duan, Yuling Jiao, Yanming Lai, Xiliang Lu, Jerry Zhijian Yang
Convergence Rate Analysis for Deep Ritz Method. CoRR (2021)
Xingdong Feng, Yuan Gao, Jian Huang, Yuling Jiao, Xu Liu
Relative Entropy Gradient Sampler for Unnormalized Distributions. CoRR (2021)
Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang
Non-asymptotic Excess Risk Bounds for Classification with Deep Convolutional Neural Networks. CoRR (2021)
Gefei Wang, Yuling Jiao, Qian Xu, Yang Wang, Can Yang
Deep Generative Learning via Schrödinger Bridge. ICML (2021)
Yicheng Kang, Yueyong Shi, Yuling Jiao, Wendong Li, Dongdong Xiang
Fitting jump additive models. Comput. Stat. Data Anal. 162 (2021)
Yuling Jiao, Dingwei Li, Min Liu, Xiliang Lu
Coordinate Descent for MCP/SCAD Penalized Least Squares Converges Linearly. CoRR (2021)
Jian-Feng Cai, Yuling Jiao, Xiliang Lu, Juntao You
Sample-Efficient Sparse Phase Retrieval via Stochastic Alternating Minimization. CoRR (2021)
Yuling Jiao, Yanming Lai, Dingwei Li, Xiliang Lu, Yang Wang, Jerry Zhijian Yang
Convergence Analysis for the PINNs. CoRR (2021)
Shiao Liu, Yunfei Yang, Jian Huang, Yuling Jiao, Yang Wang
Non-Asymptotic Error Bounds for Bidirectional GANs. CoRR (2021)
Yuling Jiao, Lican Kang, Yanyan Liu, Youzhou Zhou
Convergence Analysis of Schr{ö}dinger-F{ö}llmer Sampler without Convexity. CoRR (2021)
Yuling Jiao, Dingwei Li, Min Liu, Xiangliang Lu, Yuanyuan Yang
Just Least Squares: Binary Compressive Sampling with Low Generative Intrinsic Dimension. CoRR (2021)
Aijun Hu, Yuling Jiao, Yanyan Liu, Yueyong Shi, Yuanshan Wu
Distributed quantile regression for massive heterogeneous data. Neurocomputing 448 (2021)
Peili Li, Yuling Jiao, Xiliang Lu, Lican Kang
A Data-Driven Line Search Rule for Support Recovery in High-dimensional Data Analysis. CoRR (2021)
Shiao Liu, Yunfei Yang, Jian Huang, Yuling Jiao, Yang Wang
Non-asymptotic Error Bounds for Bidirectional GANs. NeurIPS (2021)
Shiao Liu, Xingyu Zhou, Yuling Jiao, Jian Huang
Wasserstein Generative Learning of Conditional Distribution. CoRR (2021)
Gefei Wang, Yuling Jiao, Qian Xu, Yang Wang, Can Yang
Deep Generative Learning via Schrödinger Bridge. CoRR (2021)
Jian Huang, Yuling Jiao, Zhen Li, Shiao Liu, Yang Wang, Yunfei Yang
An error analysis of generative adversarial networks for learning distributions. CoRR (2021)
Zhao Ding, Junjun Huang, Yuling Jiao, Xiliang Lu, Jerry Zhijian Yang
Robust Decoding from Binary Measurements with Cardinality Constraint Least Squares. CoRR (2020)
Yueyong Shi, Jian Huang, Yuling Jiao, Qinglong Yang
A Semismooth Newton Algorithm for High-Dimensional Nonconvex Sparse Learning. IEEE Trans. Neural Networks Learn. Syst. 31 (8) (2020)
Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu, Xiliang Lu, Jerry Zhijian Yang
Generative Learning With Euler Particle Transport. CoRR (2020)
Jian Huang, Yuling Jiao, Lican Kang, Jin Liu, Yanyan Liu, Xiliang Lu
A Support Detection and Root Finding Approach for Learning High-dimensional Generalized Linear Models. CoRR (2020)
Yi Yang, Xingjie Shi, Yuling Jiao, Jian Huang, Min Chen, Xiang Zhou, Lei Sun, Xinyi Lin, Can Yang, Jin Liu
CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies. Bioinform. 36 (7) (2020)
Jian Huang, Yuling Jiao, Lican Kang, Jin Liu, Yanyan Liu, Xiliang Lu, Yuanyuan Yang
On Newton Screening. CoRR (2020)
Jian Huang, Yuling Jiao, Xu Liao, Jin Liu, Zhou Yu
Deep Dimension Reduction for Supervised Representation Learning. CoRR (2020)
Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu
Learning Implicit Generative Models with Theoretical Guarantees. CoRR (2020)
Jianfeng Cai, Yuling Jiao, Xiliang Lu, Juntao You
A stochastic alternating minimizing method for sparse phase retrieval. CoRR (2019)
Yueyong Shi, Deyi Xu, Yongxiu Cao, Yuling Jiao
Variable Selection via Generalized SELO-Penalized Cox Regression Models. J. Syst. Sci. Complex. 32 (2) (2019)
Juntao You, Yuling Jiao, Xiliang Lu, Tieyong Zeng
A Nonconvex Model with Minimax Concave Penalty for Image Restoration. J. Sci. Comput. 78 (2) (2019)
Yuan Gao, Yuling Jiao, Yang Wang, Yao Wang, Can Yang, Shunkang Zhang
Deep Generative Learning via Variational Gradient Flow. ICML (2019)
Shunkang Zhang, Yuan Gao, Yuling Jiao, Jin Liu, Yang Wang, Can Yang
Wasserstein-Wasserstein Auto-Encoders. CoRR (2019)
Yuan Gao, Yuling Jiao, Yang Wang, Yao Wang, Can Yang, Shunkang Zhang
Deep Generative Learning via Variational Gradient Flow. CoRR (2019)
Xingjie Shi, Yuling Jiao, Yi Yang, Ching-Yu Cheng, Can Yang, Xinyi Lin, Jin Liu
VIMCO: variational inference for multiple correlated outcomes in genome-wide association studies. Bioinform. 35 (19) (2019)
Jian Huang, Yuling Jiao, Xiliang Lu, Yueyong Shi, Qinglong Yang
SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties. CoRR (2018)
Jian Huang, Yuling Jiao, Xiliang Lu, Liping Zhu
Robust Decoding from 1-Bit Compressive Sampling with Ordinary and Regularized Least Squares. SIAM J. Sci. Comput. 40 (4) (2018)
Jian Huang, Yuling Jiao, Yanyan Liu, Xiliang Lu
A Constructive Approach to $L_0$ Penalized Regression. J. Mach. Learn. Res. 19 (2018)
Yongxiu Cao, Jian Huang, Yuling Jiao, Yanyan Liu
A lower bound based smoothed quasi-Newton algorithm for group bridge penalized regression. Commun. Stat. Simul. Comput. 46 (6) (2017)
Yuling Jiao, Bangti Jin, Xiliang Lu
) Penalty: Theory and Algorithm. IEEE Trans. Signal Process. 65 (4) (2017)
Yuling Jiao, Bangti Jin, Xiliang Lu
Iterative Soft/Hard Thresholding With Homotopy Continuation for Sparse Recovery. IEEE Signal Process. Lett. 24 (6) (2017)
Yuling Jiao, Bangti Jin, Xiliang Lu
) Penalty: Theory and Algorithm. CoRR (2016)
Yuling Jiao, Qinian Jin, Xiliang Lu, Weijie Wang
Alternating Direction Method of Multipliers for Linear Inverse Problems. SIAM J. Numer. Anal. 54 (4) (2016)
Xinxin Liu, Xiliang Lu, Huanfeng Shen, Qiangqiang Yuan, Yuling Jiao, Liangpei Zhang
Stripe Noise Separation and Removal in Remote Sensing Images by Consideration of the Global Sparsity and Local Variational Properties. IEEE Trans. Geosci. Remote. Sens. 54 (5) (2016)
Zheng-Fen Jin, Zhongping Wan, Yuling Jiao, Xiliang Lu
An Alternating Direction Method with Continuation for Nonconvex Low Rank Minimization. J. Sci. Comput. 66 (2) (2016)
Qibin Fan, Dandan Jiang, Yuling Jiao
A multi-parameter regularization model for image restoration. Signal Process. 114 (2015)
Zhiyuan Sun, Yuling Jiao, Bangti Jin, Xiliang Lu
Numerical identification of a sparse Robin coefficient. Adv. Comput. Math. 41 (1) (2015)
Yuling Jiao, Bangti Jin, Xiliang Lu
A Primal Dual Active Set with Continuation Algorithm for the \ell^0-Regularized Optimization Problem. CoRR (2014)
Qibin Fan, Yuling Jiao, Xiliang Lu
A Primal Dual Active Set Algorithm With Continuation for Compressed Sensing. IEEE Trans. Signal Process. 62 (23) (2014)
Fenge Chen, Yuling Jiao, Liyu Lin, Qianqing Qin
Image Deblurring Via Combined Total Variation and Framelet. Circuits Syst. Signal Process. 33 (6) (2014)
Fenge Chen, Yuling Jiao, Guorui Ma, Qianqing Qin
Hybrid regularization image deblurring in the presence of impulsive noise. J. Vis. Commun. Image Represent. 24 (8) (2013)
Qibin Fan, Yuling Jiao, Xiliang Lu
A Primal Dual Active Set Algorithm with Continuation for Compressed Sensing. CoRR (2013)