A constructive approach to L 0 penalized regression J Huang, Y Jiao, Y Liu, X Lu
The Journal of Machine Learning Research 19 (1), 403-439, 2018
100 2018 Stripe noise separation and removal in remote sensing images by consideration of the global sparsity and local variational properties X Liu, X Lu, H Shen, Q Yuan, Y Jiao, L Zhang
IEEE Transactions on Geoscience and Remote Sensing 54 (5), 3049-3060, 2016
94 2016 A primal dual active set with continuation algorithm for the Y Jiao, B Jin, X Lu
Applied and Computational Harmonic Analysis 39 (3), 400-426, 2015
91 2015 Deep generative learning via schr\"{o}dinger bridge G Wang, Y Jiao, Q Xu, Y Wang, C Yang
ICML, 2021
90 2021 Deep nonparametric regression on approximate manifolds: Nonasymptotic error bounds with polynomial prefactors Y Jiao, G Shen, Y Lin, J Huang
The Annals of Statistics 51 (2), 691-716, 2023
72 * 2023 Convergence rate analysis for deep ritz method C Duan, Y Jiao, Y Lai, X Lu, Z Yang
Commun. Comput. Phys. 31 (4), 1020-1048, 2021
70 2021 Alternating Direction Method of Multipliers for Linear Inverse Problems Y Jiao, Q Jin, X Lu, W Wang
SIAM Journal on Numerical Analysis, 54 (4), 2114-2137, 2016
56 2016 Probabilistic embedding, clustering, and alignment for integrating spatial transcriptomics data with PRECAST W Liu, X Liao, Z Luo, Y Yang, MC Lau, Y Jiao, X Shi, W Zhai, H Ji, ...
Nature communications 14 (1), 296, 2023
52 2023 A Unified Primal Dual Active Set Algorithm for Nonconvex Sparse Recovery J Huang, Y Jiao, B Jin, J Liu, X Lu, C Yang
Statistical Science 36 (2), 215-238, 2021
50 * 2021 A primal dual active set algorithm with continuation for compressed sensing Q Fan, Y Jiao, X Lu
IEEE Transactions on Signal Processing 62 (23), 6276-6285, 2014
50 2014 Deep Generative Learning via Variational Gradient Flow Y Gao, Y Jiao, Y Wang, Y Wang, C Yang, S Zhang
ICML, 2019
49 2019 A Nonconvex Model with Minimax Concave Penalty for Image Restoration J You, Y Jiao, X Lu, T Zeng
Journal of Scientific Computing 78 (2), 1063-1086, 2019
49 2019 Error analysis of deep Ritz methods for elliptic equations Y Jiao, Y Lai, Y Lo, Y Wang, Y Yang
Analysis and Application 22 (1), 57-87, 2021
45 2021 Group Sparse Recovery via the Y Jiao, B Jin, X Lu
IEEE Transactions on Signal Processing 65 (4), 998-1012, 2017
44 2017 An error analysis of generative adversarial networks for learning distributions J Huang, Y Jiao, Z Li, S Liu, Y Wang, Y Yang
Journal of machine learning research 23 (116), 1-43, 2022
43 2022 An alternating direction method with continuation for nonconvex low rank minimization ZF Jin, Z Wan, Y Jiao, X Lu
Journal of Scientific Computing 66, 849-869, 2016
43 2016 Preasymptotic convergence of randomized Kaczmarz method Y Jiao, B Jin, X Lu
Inverse Problems 33 (12), 125012, 2017
42 2017 A rate of convergence of physics informed neural networks for the linear second order elliptic pdes Y Jiao, Y Lai, D Li, X Lu, F Wang, Y Wang, JZ Yang
Communications in Computational Physics 31 (4), 1272-1295, 2021
41 * 2021 A deep generative approach to conditional sampling X Zhou, Y Jiao, J Liu, J Huang
Journal of the American Statistical Association 118 (543), 1837-1848, 2023
38 2023 CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies Y Yang, XJ Shi, Y Jiao, J Huang, M Chen, X Zhou, L Sun, X Lin, C Yang, ...
Bioinformatics 36 (7), 2009-2016, 2020
32 2020 