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Zaiwen Wen
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2020 – today
- 2024
- [j55]Haifan Chen, Pufan Liu, Zhaoxing Chen, Qingxiao Chen, Zaiwen Wen, Ziqing Xie:
Predicting sequenced dental treatment plans from electronic dental records using deep learning. Artif. Intell. Medicine 147: 102734 (2024) - [j54]Jiang Hu, Ruicheng Ao, Anthony Man-Cho So, Minghan Yang, Zaiwen Wen:
Riemannian Natural Gradient Methods. SIAM J. Sci. Comput. 46(1): 204- (2024) - [j53]Jiayuan Wu, Jiang Hu, Hongchao Zhang, Zaiwen Wen:
Convergence Analysis of an Adaptively Regularized Natural Gradient Method. IEEE Trans. Signal Process. 72: 2527-2542 (2024) - [c8]Zhifa Ke, Zaiwen Wen, Junyu Zhang:
An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks. ICML 2024 - [i15]Chenyi Li, Ziyu Wang, Wanyi He, Yuxuan Wu, Shengyang Xu, Zaiwen Wen:
Formalization of Complexity Analysis of the First-order Optimization Algorithms. CoRR abs/2403.11437 (2024) - [i14]Zhifa Ke, Zaiwen Wen, Junyu Zhang:
An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks. CoRR abs/2405.04017 (2024) - [i13]Zhonglin Xie, Wotao Yin, Zaiwen Wen:
ODE-based Learning to Optimize. CoRR abs/2406.02006 (2024) - 2023
- [j52]Haoming Liu, Kangkang Deng, Haoyang Liu, Zaiwen Wen:
An Entropy-Regularized ADMM For Binary Quadratic Programming. J. Glob. Optim. 87(2): 447-479 (2023) - [j51]Zhenyuan Zhu, Fan Chen, Junyu Zhang, Zaiwen Wen:
A Unified Primal-Dual Algorithm Framework for Inequality Constrained Problems. J. Sci. Comput. 97(2): 39 (2023) - [j50]Bo Jiang, Xiang Meng, Zaiwen Wen, Xiaojun Chen:
An exact penalty approach for optimization with nonnegative orthogonality constraints. Math. Program. 198(1): 855-897 (2023) - [j49]Minghan Yang, Dong Xu, Qiwen Cui, Zaiwen Wen, Pengxiang Xu:
An Efficient Fisher Matrix Approximation Method for Large-Scale Neural Network Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5391-5403 (2023) - [j48]Yongfeng Li, Mingming Zhao, Weijie Chen, Zaiwen Wen:
A Stochastic Composite Augmented Lagrangian Method for Reinforcement Learning. SIAM J. Optim. 33(2): 921-949 (2023) - [j47]Yifei Wang, Kangkang Deng, Haoyang Liu, Zaiwen Wen:
A Decomposition Augmented Lagrangian Method for Low-Rank Semidefinite Programming. SIAM J. Optim. 33(3): 1361-1390 (2023) - [j46]Yiming Chen, Rui Wang, Jinglong Zhu, Zaiwen Wen:
Decoding LDPC Codes by Using Negative Proximal Regularization. IEEE Trans. Commun. 71(7): 3835-3846 (2023) - [c7]Yu Zhang, Yifan Chen, Zhonglin Xie, Hong Xu, Zaiwen Wen, Yibo Lin, Bei Yu:
LRSDP: Low-Rank SDP for Triple Patterning Lithography Layout Decomposition. DAC 2023: 1-6 - [c6]Yifan Chen, Zaiwen Wen, Yun Liang, Yibo Lin:
Stronger Mixed-Size Placement Backbone Considering Second-Order Information. ICCAD 2023: 1-9 - [i12]Zhifa Ke, Zaiwen Wen, Junyu Zhang:
Provably Efficient Gauss-Newton Temporal Difference Learning Method with Function Approximation. CoRR abs/2302.13087 (2023) - [i11]Cheng Chen, Ruitao Chen, Tianyou Li, Ruicheng Ao, Zaiwen Wen:
Monte Carlo Policy Gradient Method for Binary Optimization. CoRR abs/2307.00783 (2023) - 2022
- [j45]Yiyang Liu, Zaiwen Wen, Wotao Yin:
A Multiscale Semi-Smooth Newton Method for Optimal Transport. J. Sci. Comput. 91(2): 39 (2022) - [j44]Minghan Yang, Dong Xu, Zaiwen Wen, Mengyun Chen, Pengxiang Xu:
Sketch-Based Empirical Natural Gradient Methods for Deep Learning. J. Sci. Comput. 92(3): 94 (2022) - [j43]Minghan Yang, Andre Milzarek, Zaiwen Wen, Tong Zhang:
A stochastic extra-step quasi-Newton method for nonsmooth nonconvex optimization. Math. Program. 194(1): 257-303 (2022) - [j42]Haixiang Zhang, Andre Milzarek, Zaiwen Wen, Wotao Yin:
On the geometric analysis of a quartic-quadratic optimization problem under a spherical constraint. Math. Program. 195(1): 421-473 (2022) - [j41]Jiaqi Zhang, Zeyu Jin, Bo Jiang, Zaiwen Wen:
Stochastic Augmented Projected Gradient Methods for the Large-Scale Precoding Matrix Indicator Selection Problem. IEEE Trans. Wirel. Commun. 21(11): 9553-9565 (2022) - [c5]Fan Chen, Junyu Zhang, Zaiwen Wen:
A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP. NeurIPS 2022 - [i10]Fan Chen, Junyu Zhang, Zaiwen Wen:
A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP. CoRR abs/2207.06147 (2022) - [i9]Jiang Hu, Ruicheng Ao, Anthony Man-Cho So, Minghan Yang, Zaiwen Wen:
Riemannian Natural Gradient Methods. CoRR abs/2207.07287 (2022) - [i8]Liyuan Cao, Zaiwen Wen, Ya-Xiang Yuan:
Some Sharp Error Bounds for Multivariate Linear Interpolation and Extrapolation. CoRR abs/2209.12606 (2022) - 2021
- [j40]Jinxin Wang, Fan Zhang, Zhonglin Xie, Zaiwen Wen, Gong Zhang:
Joint Bandwidth Allocation and Path Selection in WANs with Path Cardinality Constraints. J. Commun. Inf. Networks 6(3): 237-250 (2021) - [j39]Yifei Wang, Zeyu Jia, Zaiwen Wen:
Search Direction Correction with Normalized Gradient Makes First-Order Methods Faster. SIAM J. Sci. Comput. 43(5): A3184-A3211 (2021) - [c4]Minghan Yang, Dong Xu, Hongyu Chen, Zaiwen Wen, Mengyun Chen:
Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods. CVPR 2021: 10654-10663 - [i7]Yongfeng Li, Mingming Zhao, Weijie Chen, Zaiwen Wen:
A Stochastic Composite Augmented Lagrangian Method For Reinforcement Learning. CoRR abs/2105.09716 (2021) - [i6]Minghan Yang, Dong Xu, Qiwen Cui, Zaiwen Wen, Pengxiang Xu:
NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning. CoRR abs/2106.07454 (2021) - 2020
- [j38]Yu-Hong Dai, Xin Liu, Jiawang Nie, Zaiwen Wen:
Preface. Optim. Methods Softw. 35(2): 221-222 (2020) - [j37]Leqin Wu, Xin Liu, Zaiwen Wen:
Symmetric rank-1 approximation of symmetric high-order tensors. Optim. Methods Softw. 35(2): 416-438 (2020) - [j36]Zeyu Jia, Zaiwen Wen, Yinyu Ye:
Towards solving 2-TBSG efficiently. Optim. Methods Softw. 35(4): 706-721 (2020) - [j35]Yaqi Duan, Mengdi Wang, Zaiwen Wen, Yaxiang Yuan:
Adaptive Low-Nonnegative-Rank Approximation for State Aggregation of Markov Chains. SIAM J. Matrix Anal. Appl. 41(1): 244-278 (2020) - [j34]Yongfeng Li, Haoyang Liu, Zaiwen Wen, Ya-Xiang Yuan:
Low-Rank Matrix Iteration Using Polynomial-Filtered Subspace Extraction. SIAM J. Sci. Comput. 42(3): A1686-A1713 (2020) - [j33]Tonghua Tian, Yongyong Cai, Xinming Wu, Zaiwen Wen:
Ground States of Spin-F Bose-Einstein Condensates. SIAM J. Sci. Comput. 42(4): B983-B1013 (2020)
2010 – 2019
- 2019
- [j32]Honglin Yuan, Xiaoyi Gu, Rongjie Lai, Zaiwen Wen:
Global Optimization with Orthogonality Constraints via Stochastic Diffusion on Manifold. J. Sci. Comput. 80(2): 1139-1170 (2019) - [j31]Andre Milzarek, Xiantao Xiao, Shicong Cen, Zaiwen Wen, Michael Ulbrich:
A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization. SIAM J. Optim. 29(4): 2916-2948 (2019) - [j30]Jiang Hu, Bo Jiang, Lin Lin, Zaiwen Wen, Ya-Xiang Yuan:
Structured Quasi-Newton Methods for Optimization with Orthogonality Constraints. SIAM J. Sci. Comput. 41(4): A2239-A2269 (2019) - [j29]Chao Ma, Xin Liu, Zaiwen Wen:
Globally Convergent Levenberg-Marquardt Method for Phase Retrieval. IEEE Trans. Inf. Theory 65(4): 2343-2359 (2019) - [i5]Zeyu Jia, Zaiwen Wen, Yinyu Ye:
Toward Solving 2-TBSG Efficiently. CoRR abs/1906.03553 (2019) - [i4]Tonghua Tian, Yongyong Cai, Xinming Wu, Zaiwen Wen:
Ground states and their characterization of spin-F Bose-Einstein condensates. CoRR abs/1907.01194 (2019) - 2018
- [j28]Xiantao Xiao, Yongfeng Li, Zaiwen Wen, Liwei Zhang:
A Regularized Semi-Smooth Newton Method with Projection Steps for Composite Convex Programs. J. Sci. Comput. 76(1): 364-389 (2018) - [j27]Jiang Hu, Andre Milzarek, Zaiwen Wen, Yaxiang Yuan:
Adaptive Quadratically Regularized Newton Method for Riemannian Optimization. SIAM J. Matrix Anal. Appl. 39(3): 1181-1207 (2018) - [j26]Junyu Zhang, Haoyang Liu, Zaiwen Wen, Shuzhong Zhang:
A Sparse Completely Positive Relaxation of the Modularity Maximization for Community Detection. SIAM J. Sci. Comput. 40(5): A3091-A3120 (2018) - [j25]Yongfeng Li, Zaiwen Wen, Chao Yang, Ya-Xiang Yuan:
A SemiSmooth Newton Method for Semidefinite Programs and its Applications in Electronic Structure Calculations. SIAM J. Sci. Comput. 40(6): A4131-A4157 (2018) - 2017
- [j24]Junyu Zhang, Zaiwen Wen, Yin Zhang:
Subspace Methods with Local Refinements for Eigenvalue Computation Using Low-Rank Tensor-Train Format. J. Sci. Comput. 70(2): 478-499 (2017) - [j23]Xinming Wu, Zaiwen Wen, Weizhu Bao:
A Regularized Newton Method for Computing Ground States of Bose-Einstein Condensates. J. Sci. Comput. 73(1): 303-329 (2017) - [j22]Zaiwen Wen, Yin Zhang:
Accelerating Convergence by Augmented Rayleigh-Ritz Projections For Large-Scale Eigenpair Computation. SIAM J. Matrix Anal. Appl. 38(2): 273-296 (2017) - [i3]Junyu Zhang, Haoyang Liu, Zaiwen Wen, Shuzhong Zhang:
A Sparse Completely Positive Relaxation of the Modularity Maximization for Community Detection. CoRR abs/1708.01072 (2017) - 2016
- [j21]Zaiwen Wen, Chao Yang, Xin Liu, Yin Zhang:
Trace-Penalty Minimization for Large-Scale Eigenspace Computation. J. Sci. Comput. 66(3): 1175-1203 (2016) - [j20]Bo Jiang, Ya-Feng Liu, Zaiwen Wen:
Lp-norm Regularization Algorithms for Optimization Over Permutation Matrices. SIAM J. Optim. 26(4): 2284-2313 (2016) - 2015
- [j19]Xin Liu, Zaiwen Wen, Yin Zhang:
An Efficient Gauss-Newton Algorithm for Symmetric Low-Rank Product Matrix Approximations. SIAM J. Optim. 25(3): 1571-1608 (2015) - [j18]Xin Liu, Zaiwen Wen, Xiao Wang, Michael Ulbrich, Yaxiang Yuan:
On the Analysis of the Discretized Kohn-Sham Density Functional Theory. SIAM J. Numer. Anal. 53(4): 1758-1785 (2015) - [j17]Michael Ulbrich, Zaiwen Wen, Chao Yang, Dennis Klöckner, Zhaosong Lu:
A Proximal Gradient Method for Ensemble Density Functional Theory. SIAM J. Sci. Comput. 37(4) (2015) - 2014
- [j16]Rongjie Lai, Zaiwen Wen, Wotao Yin, Xianfeng Gu, Lok Ming Lui:
Folding-Free Global Conformal Mapping for Genus-0 Surfaces by Harmonic Energy Minimization. J. Sci. Comput. 58(3): 705-725 (2014) - [j15]Xin Liu, Xiao Wang, Zaiwen Wen, Ya-Xiang Yuan:
On the Convergence of the Self-Consistent Field Iteration in Kohn-Sham Density Functional Theory. SIAM J. Matrix Anal. Appl. 35(2): 546-558 (2014) - [j14]Xin Zhang, Jinwei Zhu, Zaiwen Wen, Aihui Zhou:
Gradient Type Optimization Methods For Electronic Structure Calculations. SIAM J. Sci. Comput. 36(3) (2014) - 2013
- [j13]Zaiwen Wen, Wotao Yin:
A feasible method for optimization with orthogonality constraints. Math. Program. 142(1-2): 397-434 (2013) - [j12]Lanhui Wang, Amit Singer, Zaiwen Wen:
Orientation Determination of Cryo-EM Images Using Least Unsquared Deviations. SIAM J. Imaging Sci. 6(4): 2450-2483 (2013) - [j11]Xin Liu, Zaiwen Wen, Yin Zhang:
Limited Memory Block Krylov Subspace Optimization for Computing Dominant Singular Value Decompositions. SIAM J. Sci. Comput. 35(3) (2013) - [j10]Zaiwen Wen, Andre Milzarek, Michael Ulbrich, Hongchao Zhang:
Adaptive Regularized Self-Consistent Field Iteration with Exact Hessian for Electronic Structure Calculation. SIAM J. Sci. Comput. 35(3) (2013) - [j9]Qing Ling, Zaiwen Wen, Wotao Yin:
Decentralized Jointly Sparse Optimization by Reweighted lq Minimization. IEEE Trans. Signal Process. 61(5): 1165-1170 (2013) - 2012
- [j8]Zaiwen Wen, Wotao Yin, Yin Zhang:
Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm. Math. Program. Comput. 4(4): 333-361 (2012) - [j7]Zaiwen Wen, Wotao Yin, Hongchao Zhang, Donald Goldfarb:
On the convergence of an active-set method for ℓ1 minimization. Optim. Methods Softw. 27(6): 1127-1146 (2012) - [c3]Qing Ling, Yangyang Xu, Wotao Yin, Zaiwen Wen:
Decentralized low-rank matrix completion. ICASSP 2012: 2925-2928 - [i2]Lanhui Wang, Amit Singer, Zaiwen Wen:
Orientation Determination from Cryo-EM images Using Least Unsquared Deviation. CoRR abs/1211.7045 (2012) - 2011
- [j6]Jason N. Laska, Zaiwen Wen, Wotao Yin, Richard G. Baraniuk:
Trust, But Verify: Fast and Accurate Signal Recovery From 1-Bit Compressive Measurements. IEEE Trans. Signal Process. 59(11): 5289-5301 (2011) - [c2]Wotao Yin, Zaiwen Wen, Shuyi Li, Jia (Jasmine) Meng, Zhu Han:
Dynamic compressive spectrum sensing for cognitive radio networks. CISS 2011: 1-6 - [i1]Yangyang Xu, Wotao Yin, Zaiwen Wen, Yin Zhang:
An Alternating Direction Algorithm for Matrix Completion with Nonnegative Factors. CoRR abs/1103.1168 (2011) - 2010
- [j5]Zaiwen Wen, Donald Goldfarb, Wotao Yin:
Alternating direction augmented Lagrangian methods for semidefinite programming. Math. Program. Comput. 2(3-4): 203-230 (2010) - [j4]Zaiwen Wen, Wotao Yin, Donald Goldfarb, Yin Zhang:
A Fast Algorithm for Sparse Reconstruction Based on Shrinkage, Subspace Optimization, and Continuation. SIAM J. Sci. Comput. 32(4): 1832-1857 (2010)
2000 – 2009
- 2009
- [j3]Donald Goldfarb, Zaiwen Wen, Wotao Yin:
A Curvilinear Search Method for p-Harmonic Flows on Spheres. SIAM J. Imaging Sci. 2(1): 84-109 (2009) - [j2]Zaiwen Wen, Donald Goldfarb:
A Line Search Multigrid Method for Large-Scale Nonlinear Optimization. SIAM J. Optim. 20(3): 1478-1503 (2009) - [c1]Donald Goldfarb, Shiqian Ma, Zaiwen Wen:
Solving low-rank matrix completion problems efficiently. Allerton 2009: 1013-1020 - 2007
- [j1]Yanfei Wang, Zaiwen Wen, M. Zuhair Nashed, Qiyu Sun:
On Direct Methods for Time-Limited Signal and Image Reconstruction and Enhancement. Int. J. Wavelets Multiresolution Inf. Process. 5(1): 51-68 (2007)
Coauthor Index
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last updated on 2024-09-04 00:27 CEST by the dblp team
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