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ORCIDYuling Jiao
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2020 – today
- 2024
[j40]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: 108770 (2024)- [j39]Changshi Li, Yuling Jiao, Jerry Zhijian Yang:
An error analysis for deep binary classification with sigmoid loss. Inf. Sci. 681: 121166 (2024) - [j38]Chenguang Duan, Junjun Huang, Yuling Jiao, Xiliang Lu, Jerry Zhijian Yang:
Current density impedance imaging with PINNs. J. Comput. Appl. Math. 452: 116120 (2024) - [j37]Guohao Shen, Yuling Jiao, Yuanyuan Lin, Joel L. Horowitz, Jian Huang:
Nonparametric Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks. J. Mach. Learn. Res. 25: 88:1-88:75 (2024) - [j36]Yuan Gao, Jian Huang, Yuling Jiao:
Gaussian Interpolation Flows. J. Mach. Learn. Res. 25: 253:1-253:52 (2024) - [j35]Xia Ji, Yuling Jiao, Xiliang Lu, Pengcheng Song, Fengru Wang:
Deep Ritz Method for Elliptical Multiple Eigenvalue Problems. J. Sci. Comput. 98(2): 48 (2024) - [j34]Changyu Liu, Yuling Jiao, Junhui Wang, Jian Huang:
Nonasymptotic Bounds for Adversarial Excess Risk under Misspecified Models. SIAM J. Math. Data Sci. 6(4): 847-868 (2024) - [j33]Jian Huang, Yuling Jiao, Xu Liao, Jin Liu, Zhou Yu:
Deep Dimension Reduction for Supervised Representation Learning. IEEE Trans. Inf. Theory 70(5): 3583-3598 (2024) - [c8]Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu:
Neural Network Approximation for Pessimistic Offline Reinforcement Learning. AAAI 2024: 15868-15877 - [i53]Zhao Ding, Chenguang Duan, Yuling Jiao, Jerry Zhijian Yang:
Semi-Supervised Deep Sobolev Regression: Estimation, Variable Selection and Beyond. CoRR abs/2401.04535 (2024) - [i52]Jinyuan Chang, Zhao Ding, Yuling Jiao, Ruoxuan Li, Jerry Zhijian Yang:
Deep Conditional Generative Learning: Model and Error Analysis. CoRR abs/2402.01460 (2024) - [i51]Yuling Jiao, Yuhui Liu, Jerry Zhijian Yang, Cheng Yuan:
A Stabilized Physics Informed Neural Networks Method for Wave Equations. CoRR abs/2403.19090 (2024) - [i50]Yuan Gao, Jian Huang, Yuling Jiao, Shurong Zheng:
Convergence of Continuous Normalizing Flows for Learning Probability Distributions. CoRR abs/2404.00551 (2024) - [i49]Yuling Jiao, Yanming Lai, Yang Wang, Bokai Yan:
Convergence Analysis of Flow Matching in Latent Space with Transformers. CoRR abs/2404.02538 (2024) - [i48]Yuling Jiao, Lican Kang, Huazhen Lin, Jin Liu, Heng Zuo:
Latent Schr{\"o}dinger Bridge Diffusion Model for Generative Learning. CoRR abs/2404.13309 (2024) - [i47]Zhao Ding, Chenguang Duan, Yuling Jiao, Ruoxuan Li, Jerry Zhijian Yang, Pingwen Zhang:
Characteristic Learning for Provable One Step Generation. CoRR abs/2405.05512 (2024) - [i46]Yuling Jiao, Yanming Lai, Yang Wang:
Error Analysis of Three-Layer Neural Network Trained with PGD for Deep Ritz Method. CoRR abs/2405.11451 (2024) - [i45]Yuling Jiao, Lican Kang, Jin Liu, Heng Peng, Heng Zuo:
Model Free Prediction with Uncertainty Assessment. CoRR abs/2405.12684 (2024) - [i44]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 abs/2406.12195 (2024) - [i43]Yuling Jiao, Ruoxuan Li, Peiying Wu, Jerry Zhijian Yang, Pingwen Zhang:
DRM Revisited: A Complete Error Analysis. CoRR abs/2407.09032 (2024) - [i42]Chenguang Duan, Yuling Jiao, Huazhen Lin, Wensen Ma, Jerry Zhijian Yang:
Unsupervised Transfer Learning via Adversarial Contrastive Training. CoRR abs/2408.08533 (2024) - [i41]Yuling Jiao, Yang Wang, Bokai Yan:
Approximation Bounds for Recurrent Neural Networks with Application to Regression. CoRR abs/2409.05577 (2024) - [i40]Yuling Jiao, Huazhen Lin, Yuchen Luo, Jerry Zhijian Yang:
Deep Transfer Learning: Model Framework and Error Analysis. CoRR abs/2410.09383 (2024) - 2023
- [j32]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) - [j31]Xingdong Feng, Yuling Jiao, Lican Kang, Baqun Zhang, Fan Zhou:
Over-parameterized Deep Nonparametric Regression for Dependent Data with Its Applications to Reinforcement Learning. J. Mach. Learn. Res. 24: 383:1-383:40 (2023) - [j30]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): 28 (2023) - [j29]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): 58 (2023) - [j28]Yin Dai, Yuling Jiao, Lican Kang, Xiliang Lu, Jerry Zhijian Yang:
Global Optimization via Schrödinger-Föllmer Diffusion. SIAM J. Control. Optim. 61(5): 2953-2980 (2023) - [j27]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): 3635-3649 (2023) - [c7]Chenguang Duan, Yuling Jiao, Lican Kang, Xiliang Lu, Jerry Zhijian Yang:
Fast Excess Risk Rates via Offset Rademacher Complexity. ICML 2023: 8697-8716 - [c6]Junyu Zhu, Xu Liao, Changshi Li, Yuling Jiao, Jin Liu, Xiliang Lu:
Invariant and Sufficient Supervised Representation Learning. IJCNN 2023: 1-8 - [i39]Yuling Jiao, Yanming Lai, Yang Wang, Haizhao Yang, Yunfei Yang:
Convergence Analysis of the Deep Galerkin Method for Weak Solutions. CoRR abs/2302.02405 (2023) - [i38]Yuling Jiao, Di Li, Xiliang Lu, Jerry Zhijian Yang, Cheng Yuan:
GAS: A Gaussian Mixture Distribution-Based Adaptive Sampling Method for PINNs. CoRR abs/2303.15849 (2023) - [i37]Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang:
Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression. CoRR abs/2305.00608 (2023) - [i36]Chenguang Duan, Yuling Jiao, Xiliang Lu, Jerry Zhijian Yang:
Current density impedance imaging with PINNs. CoRR abs/2306.13881 (2023) - [i35]Changyu Liu, Yuling Jiao, Junhui Wang, Jian Huang:
Non-Asymptotic Bounds for Adversarial Excess Risk under Misspecified Models. CoRR abs/2309.00771 (2023) - [i34]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 abs/2310.07528 (2023) - [i33]Yuan Gao, Jian Huang, Yuling Jiao:
Gaussian Interpolation Flows. CoRR abs/2311.11475 (2023) - [i32]Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu:
Neural Network Approximation for Pessimistic Offline Reinforcement Learning. CoRR abs/2312.11863 (2023) - 2022
- [j26]Chao Cheng, Xingdong Feng, Jian Huang, Yuling Jiao, Shuang Zhang:
ℓ0-Regularized high-dimensional accelerated failure time model. Comput. Stat. Data Anal. 170: 107430 (2022) - [j25]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: 107524 (2022) - [j24]Jian Huang, Yuling Jiao, Lican Kang, Jin Liu, Yanyan Liu, Xiliang Lu:
GSDAR: a fast Newton algorithm for ℓ 0 regularized generalized linear models with statistical guarantee. Comput. Stat. 37(1): 507-533 (2022) - [j23]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: 116:1-116:43 (2022) - [j22]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: 108432 (2022) - [j21]Jian-Feng Cai, Yuling Jiao, Xiliang Lu, Juntao You:
Sample-Efficient Sparse Phase Retrieval via Stochastic Alternating Minimization. IEEE Trans. Signal Process. 70: 4951-4966 (2022) - [c5]Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang:
Approximation with CNNs in Sobolev Space: with Applications to Classification. NeurIPS 2022 - [i31]Yuling Jiao, Yang Wang, Yunfei Yang:
Approximation bounds for norm constrained neural networks with applications to regression and GANs. CoRR abs/2201.09418 (2022) - [i30]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 abs/2204.06904 (2022) - [i29]Guohao Shen, Yuling Jiao, Yuanyuan Lin, Joel L. Horowitz, Jian Huang:
Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks. CoRR abs/2207.10442 (2022) - 2021
- [j20]Yicheng Kang, Yueyong Shi, Yuling Jiao, Wendong Li, Dongdong Xiang:
Fitting jump additive models. Comput. Stat. Data Anal. 162: 107266 (2021) - [j19]Aijun Hu, Yuling Jiao, Yanyan Liu, Yueyong Shi, Yuanshan Wu:
Distributed quantile regression for massive heterogeneous data. Neurocomputing 448: 249-262 (2021) - [c4]Gefei Wang, Yuling Jiao, Qian Xu, Yang Wang, Can Yang:
Deep Generative Learning via Schrödinger Bridge. ICML 2021: 10794-10804 - [c3]Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu, Xiliang Lu, Jerry Zhijian Yang:
Deep Generative Learning via Euler Particle Transport. MSML 2021: 336-368 - [c2]Shiao Liu, Yunfei Yang, Jian Huang, Yuling Jiao, Yang Wang:
Non-asymptotic Error Bounds for Bidirectional GANs. NeurIPS 2021: 12328-12339 - [i28]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 abs/2103.00542 (2021) - [i27]Chenguang Duan, Yuling Jiao, Yanming Lai, Xiliang Lu, Jerry Zhijian Yang:
Convergence Rate Analysis for Deep Ritz Method. CoRR abs/2103.13330 (2021) - [i26]Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang:
Non-asymptotic Excess Risk Bounds for Classification with Deep Convolutional Neural Networks. CoRR abs/2105.00292 (2021) - [i25]Jian Huang, Yuling Jiao, Zhen Li, Shiao Liu, Yang Wang, Yunfei Yang:
An error analysis of generative adversarial networks for learning distributions. CoRR abs/2105.13010 (2021) - [i24]Gefei Wang, Yuling Jiao, Qian Xu, Yang Wang, Can Yang:
Deep Generative Learning via Schrödinger Bridge. CoRR abs/2106.10410 (2021) - [i23]Yuling Jiao, Lican Kang, Yanyan Liu, Youzhou Zhou:
Convergence Analysis of Schr{ö}dinger-F{ö}llmer Sampler without Convexity. CoRR abs/2107.04766 (2021) - [i22]Yuling Jiao, Yanming Lai, Yisu Luo, Yang Wang, Yunfei Yang:
Error Analysis of Deep Ritz Methods for Elliptic Equations. CoRR abs/2107.14478 (2021) - [i21]Yuling Jiao, Yanming Lai, Dingwei Li, Xiliang Lu, Yang Wang, Jerry Zhijian Yang:
Convergence Analysis for the PINNs. CoRR abs/2109.01780 (2021) - [i20]Yuling Jiao, Dingwei Li, Min Liu, Xiliang Lu:
Coordinate Descent for MCP/SCAD Penalized Least Squares Converges Linearly. CoRR abs/2109.08850 (2021) - [i19]Xingdong Feng, Yuan Gao, Jian Huang, Yuling Jiao, Xu Liu:
Relative Entropy Gradient Sampler for Unnormalized Distributions. CoRR abs/2110.02787 (2021) - [i18]Shiao Liu, Yunfei Yang, Jian Huang, Yuling Jiao, Yang Wang:
Non-Asymptotic Error Bounds for Bidirectional GANs. CoRR abs/2110.12319 (2021) - [i17]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 abs/2111.02009 (2021) - [i16]Peili Li, Yuling Jiao, Xiliang Lu, Lican Kang:
A Data-Driven Line Search Rule for Support Recovery in High-dimensional Data Analysis. CoRR abs/2111.10806 (2021) - [i15]Yuling Jiao, Dingwei Li, Min Liu, Xiangliang Lu, Yuanyuan Yang:
Just Least Squares: Binary Compressive Sampling with Low Generative Intrinsic Dimension. CoRR abs/2111.14486 (2021) - [i14]Jian-Feng Cai, Yuling Jiao, Xiliang Lu, Juntao You:
Sample-Efficient Sparse Phase Retrieval via Stochastic Alternating Minimization. CoRR abs/2112.07919 (2021) - [i13]Shiao Liu, Xingyu Zhou, Yuling Jiao, Jian Huang:
Wasserstein Generative Learning of Conditional Distribution. CoRR abs/2112.10039 (2021) - 2020
- [j18]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): 2009-2016 (2020) - [j17]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): 2993-3006 (2020) - [i12]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 abs/2001.05819 (2020) - [i11]Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu:
Learning Implicit Generative Models with Theoretical Guarantees. CoRR abs/2002.02862 (2020) - [i10]Zhao Ding, Junjun Huang, Yuling Jiao, Xiliang Lu, Jerry Zhijian Yang:
Robust Decoding from Binary Measurements with Cardinality Constraint Least Squares. CoRR abs/2006.02890 (2020) - [i9]Jian Huang, Yuling Jiao, Xu Liao, Jin Liu, Zhou Yu:
Deep Dimension Reduction for Supervised Representation Learning. CoRR abs/2006.05865 (2020) - [i8]Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu, Xiliang Lu, Jerry Zhijian Yang:
Generative Learning With Euler Particle Transport. CoRR abs/2012.06094 (2020)
2010 – 2019
- 2019
- [j16]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): 3693-3700 (2019) - [j15]Yueyong Shi, Deyi Xu, Yongxiu Cao, Yuling Jiao:
Variable Selection via Generalized SELO-Penalized Cox Regression Models. J. Syst. Sci. Complex. 32(2): 709-736 (2019) - [j14]Juntao You, Yuling Jiao, Xiliang Lu, Tieyong Zeng:
A Nonconvex Model with Minimax Concave Penalty for Image Restoration. J. Sci. Comput. 78(2): 1063-1086 (2019) - [c1]Yuan Gao, Yuling Jiao, Yang Wang, Yao Wang, Can Yang, Shunkang Zhang:
Deep Generative Learning via Variational Gradient Flow. ICML 2019: 2093-2101 - [i7]Yuan Gao, Yuling Jiao, Yang Wang, Yao Wang, Can Yang, Shunkang Zhang:
Deep Generative Learning via Variational Gradient Flow. CoRR abs/1901.08469 (2019) - [i6]Shunkang Zhang, Yuan Gao, Yuling Jiao, Jin Liu, Yang Wang, Can Yang:
Wasserstein-Wasserstein Auto-Encoders. CoRR abs/1902.09323 (2019) - [i5]Jianfeng Cai, Yuling Jiao, Xiliang Lu, Juntao You:
A stochastic alternating minimizing method for sparse phase retrieval. CoRR abs/1906.05967 (2019) - 2018
- [j13]Jian Huang, Yuling Jiao, Yanyan Liu, Xiliang Lu:
A Constructive Approach to $L_0$ Penalized Regression. J. Mach. Learn. Res. 19: 10:1-10:37 (2018) - [j12]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): A2062-A2086 (2018) - [i4]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 abs/1810.03814 (2018) - 2017
- [j11]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): 4694-4707 (2017) - [j10]Yuling Jiao, Bangti Jin, Xiliang Lu:
Iterative Soft/Hard Thresholding With Homotopy Continuation for Sparse Recovery. IEEE Signal Process. Lett. 24(6): 784-788 (2017) - [j9]Yuling Jiao, Bangti Jin, Xiliang Lu:
Group Sparse Recovery via the ℓ0(ℓ2) Penalty: Theory and Algorithm. IEEE Trans. Signal Process. 65(4): 998-1012 (2017) - 2016
- [j8]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): 849-869 (2016) - [j7]Yuling Jiao, Qinian Jin, Xiliang Lu, Weijie Wang:
Alternating Direction Method of Multipliers for Linear Inverse Problems. SIAM J. Numer. Anal. 54(4): 2114-2137 (2016) - [j6]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): 3049-3060 (2016) - [i3]Yuling Jiao, Bangti Jin, Xiliang Lu:
Group Sparse Recovery via the ℓ0(ℓ2) Penalty: Theory and Algorithm. CoRR abs/1601.04174 (2016) - 2015
- [j5]Zhiyuan Sun, Yuling Jiao, Bangti Jin, Xiliang Lu:
Numerical identification of a sparse Robin coefficient. Adv. Comput. Math. 41(1): 131-148 (2015) - [j4]Qibin Fan, Dandan Jiang, Yuling Jiao:
A multi-parameter regularization model for image restoration. Signal Process. 114: 131-142 (2015) - 2014
- [j3]Fenge Chen, Yuling Jiao, Liyu Lin, Qianqing Qin:
Image Deblurring Via Combined Total Variation and Framelet. Circuits Syst. Signal Process. 33(6): 1899-1916 (2014) - [j2]Qibin Fan, Yuling Jiao, Xiliang Lu:
A Primal Dual Active Set Algorithm With Continuation for Compressed Sensing. IEEE Trans. Signal Process. 62(23): 6276-6285 (2014) - [i2]Yuling Jiao, Bangti Jin, Xiliang Lu:
A Primal Dual Active Set with Continuation Algorithm for the \ell^0-Regularized Optimization Problem. CoRR abs/1403.0515 (2014) - 2013
- [j1]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): 1349-1359 (2013) - [i1]Qibin Fan, Yuling Jiao, Xiliang Lu:
A Primal Dual Active Set Algorithm with Continuation for Compressed Sensing. CoRR abs/1312.7039 (2013)
Coauthor Index
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