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2020 – today
- 2024
[j58]Xiaoying Dai, Miao Hu, Jack Xin, Aihui Zhou:
An augmented subspace based adaptive proper orthogonal decomposition method for time dependent partial differential equations. J. Comput. Phys. 514: 113231 (2024)- [c37]Elisha Dayag, Kevin Bui, Fredrick Park, Jack Xin:
An Image Segmentation Model with Transformed Total Variation. EUSIPCO 2024: 586-590 - [c36]Shih-Hsin Wang, Yung-Chang Hsu, Justin M. Baker, Andrea L. Bertozzi, Jack Xin, Bao Wang:
Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks. ICLR 2024 - [i56]Nhat Thanh Tran, Jack Xin, Guofa Zhou:
FWin transformer for dengue prediction under climate and ocean influence. CoRR abs/2403.07027 (2024) - [i55]Aozhong Zhang, Zi Yang, Naigang Wang, Yingyong Qin, Jack Xin, Xin Li, Penghang Yin:
COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization. CoRR abs/2403.07134 (2024) - [i54]Zhizhang Wu, Renaud Raquépas, Jack Xin, Zhiwen Zhang:
Computing large deviation rate functions of entropy production for diffusion processes in the vanishing-noise limit and high dimensions by an interacting particle method. CoRR abs/2403.19223 (2024) - [i53]Connor Mooney, Zhongjian Wang, Jack Xin, Yifeng Yu:
Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates. CoRR abs/2405.16104 (2024) - [i52]Tan Zhang, Zhongjian Wang, Jack Xin, Zhiwen Zhang:
A structure-preserving scheme for computing effective diffusivity and anomalous diffusion phenomena of random flows. CoRR abs/2405.19003 (2024) - [i51]Elisha Dayag, Kevin Bui, Fredrick Park, Jack Xin:
An Image Segmentation Model with Transformed Total Variation. CoRR abs/2406.00571 (2024) - [i50]Boyi Hu, Zhongjian Wang, Jack Xin, Zhiwen Zhang:
A Stochastic Interacting Particle-Field Algorithm for a Haptotaxis Advection-Diffusion System Modeling Cancer Cell Invasion. CoRR abs/2407.05626 (2024) - [i49]Yunling Zheng, Zeyi Xu, Fanghui Xue, Biao Yang, Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin:
AFIDAF: Alternating Fourier and Image Domain Adaptive Filters as an Efficient Alternative to Attention in ViTs. CoRR abs/2407.12217 (2024) - 2023
- [j57]Zhijian Li
, Biao Yang, Penghang Yin, Yingyong Qi, Jack Xin:
Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data. IEEE Access 11: 78042-78051 (2023) - [j56]Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin:
Difference of anisotropic and isotropic TV for segmentation under blur and Poisson noise. Frontiers Comput. Sci. 5 (2023) - [c35]Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin:
Weighted Anisotropic-Isotropic Total Variation for Poisson Denoising. ICIP 2023: 1020-1024 - [c34]Kevin Bui, Fanghui Xue, Fredrick Park, Yingyong Qi, Jack Xin:
A Proximal Algorithm for Network Slimming. LOD (2) 2023: 69-83 - [i48]Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin:
Efficient Image Segmentation Framework with Difference of Anisotropic and Isotropic Total Variation for Blur and Poisson Noise Removal. CoRR abs/2301.03393 (2023) - [i47]Zhijian Li, Biao Yang, Penghang Yin, Yingyong Qi, Jack Xin:
Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data. CoRR abs/2302.10899 (2023) - [i46]Xiaoying Dai, Miao Hu, Jack Xin, Aihui Zhou:
An Augmented Subspace Based Adaptive Proper Orthogonal Decomposition Method for Time Dependent Partial Differential Equations. CoRR abs/2304.09007 (2023) - [i45]Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin:
Weighted Anisotropic-Isotropic Total Variation for Poisson Denoising. CoRR abs/2307.00439 (2023) - [i44]Nhat Thanh Tran, Jack Xin:
Fourier-Mixed Window Attention: Accelerating Informer for Long Sequence Time-Series Forecasting. CoRR abs/2307.00493 (2023) - [i43]Kevin Bui, Fanghui Xue, Fredrick Park, Yingyong Qi, Jack Xin:
A Proximal Algorithm for Network Slimming. CoRR abs/2307.00684 (2023) - [i42]Tan Zhang, Zhongjian Wang, Jack Xin, Zhiwen Zhang:
A convergent interacting particle method for computing KPP front speeds in random flows. CoRR abs/2308.14479 (2023) - [i41]Zhongjian Wang, Jack Xin, Zhiwen Zhang:
A Novel Stochastic Interacting Particle-Field Algorithm for 3D Parabolic-Parabolic Keller-Segel Chemotaxis System. CoRR abs/2309.13554 (2023) - 2022
- [j55]Fanghui Xue, Yingyong Qi, Jack Xin:
RARTS: An Efficient First-Order Relaxed Architecture Search Method. IEEE Access 10: 65901-65912 (2022) - [j54]Zhongjian Wang, Jack Xin, Zhiwen Zhang:
DeepParticle: Learning invariant measure by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method. J. Comput. Phys. 464: 111309 (2022) - [j53]Chou Kao, Yu-Yu Liu, Jack Xin:
A Semi-Lagrangian Computation of Front Speeds of G-equation in ABC and Kolmogorov Flows with Estimation via Ballistic Orbits. Multiscale Model. Simul. 20(1): 107-117 (2022) - [j52]Junlong Lyu, Zhongjian Wang, Jack Xin, Zhiwen Zhang:
A Convergent Interacting Particle Method and Computation of KPP Front Speeds in Chaotic Flows. SIAM J. Numer. Anal. 60(3): 1136-1167 (2022) - [j51]Yuanchang Sun, Jack Xin:
Lorentzian peak sharpening and sparse blind source separation for NMR spectroscopy. Signal Image Video Process. 16(3): 633-641 (2022) - [c33]Zhijian Li, Jack Xin:
Channel Pruning in Quantization-aware Training: an Adaptive Projection-gradient Descent-shrinkage-splitting Method. AI4I 2022: 31-34 - [c32]Carson Hu, Guang Lin, Bao Wang, Meng Yue, Jack Xin:
Post-Fault Power Grid Voltage Prediction via 1D-CNN with Spatial Coupling. AI4I 2022: 35-37 - [c31]Ziang Long, Yunling Zheng, Meng Yu, Jack Xin:
Enhancing Zero-Shot Many to Many Voice Conversion via Self-Attention VAE with Structurally Regularized Layers. AI4I 2022: 59-63 - [c30]Yunling Zheng, Carson Hu, Guang Lin, Meng Yue, Bao Wang, Jack Xin:
Glassoformer: A Query-Sparse Transformer for Post-Fault Power Grid Voltage Prediction. ICASSP 2022: 3968-3972 - [c29]Zhijian Li, Jack Xin, Guofa Zhou:
An Integrated Recurrent Neural Network and Regression Model with Spatial and Climatic Couplings for Vector-borne Disease Dynamics. ICPRAM 2022: 505-510 - [i40]Yunling Zheng, Carson Hu, Guang Lin, Meng Yue, Bao Wang, Jack Xin:
glassoformer: a query-sparse transformer for post-fault power grid voltage prediction. CoRR abs/2201.09145 (2022) - [i39]Zhijian Li, Jack Xin, Guofa Zhou:
An integrated recurrent neural network and regression model with spatial and climatic couplings for vector-borne disease dynamics. CoRR abs/2201.09394 (2022) - [i38]Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin:
A Smoothing and Thresholding Image Segmentation Framework with Weighted Anisotropic-Isotropic Total Variation. CoRR abs/2202.10115 (2022) - [i37]Ziang Long, Yunling Zheng, Meng Yu, Jack Xin:
Enhancing Zero-Shot Many to Many Voice Conversion with Self-Attention VAE. CoRR abs/2203.16037 (2022) - [i36]Zhijian Li, Jack Xin:
Channel Pruning In Quantization-aware Training: An Adaptive Projection-gradient Descent-shrinkage-splitting Method. CoRR abs/2204.04375 (2022) - [i35]Fanghui Xue, Biao Yang, Yingyong Qi, Jack Xin:
Searching Intrinsic Dimensions of Vision Transformers. CoRR abs/2204.07722 (2022) - [i34]Justin M. Baker, Hedi Xia, Yiwei Wang, Elena Cherkaev, Akil Narayan, Long Chen, Jack Xin, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang:
Proximal Implicit ODE Solvers for Accelerating Learning Neural ODEs. CoRR abs/2204.08621 (2022) - [i33]Zhongjian Wang, Jack Xin, Zhiwen Zhang:
A DeepParticle method for learning and generating aggregation patterns in multi-dimensional Keller-Segel chemotaxis systems. CoRR abs/2209.00109 (2022) - 2021
- [j50]Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin:
Improving Network Slimming With Nonconvex Regularization. IEEE Access 9: 115292-115314 (2021) - [j49]Zhongjian Wang, Jack Xin, Zhiwen Zhang:
Sharp Error Estimates on a Stochastic Structure-Preserving Scheme in Computing Effective Diffusivity of 3D Chaotic Flows. Multiscale Model. Simul. 19(3): 1167-1189 (2021) - [j48]Kevin Bui, Fredrick Park, Yifei Lou, Jack Xin:
A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image Segmentation. SIAM J. Imaging Sci. 14(3): 1078-1113 (2021) - [j47]Haotian Gu, Jack Xin, Zhiwen Zhang:
Error Estimates for a POD Method for Solving Viscous G-Equations in Incompressible Cellular Flows. SIAM J. Sci. Comput. 43(1): A636-A662 (2021) - [c28]Fanghui Xue, Jack Xin:
Network Compression via Cooperative Architecture Search and Distillation. AI4I 2021: 42-43 - [c27]Yunling Zheng, Zhijian Li, Jack Xin, Guofa Zhou:
A Spatial-temporal Graph based Hybrid Infectious Disease Model with Application to COVID-19. ICPRAM 2021: 357-364 - [c26]Biao Yang, Fanghui Xue, Yingyong Qi, Jack Xin:
Improving Efficient Semantic Segmentation Networks by Enhancing Multi-scale Feature Representation via Resolution Path Based Knowledge Distillation and Pixel Shuffle. ISVC (2) 2021: 325-336 - [c25]Zhijian Li, Bao Wang, Jack Xin:
An Integrated Approach to Produce Robust Deep Neural Network Models with High Efficiency. LOD 2021: 451-465 - [i32]Junlong Lyu, Zhongjian Wang, Jack Xin, Zhiwen Zhang:
A convergent interacting particle method and computation of KPP front speeds in chaotic flows. CoRR abs/2103.14796 (2021) - [i31]Zhongjian Wang, Jack Xin, Zhiwen Zhang:
Convergence analysis of a Lagrangian numerical scheme in computing effective diffusivity of 3D time-dependent flows. CoRR abs/2106.00953 (2021) - [i30]Zhongjian Wang, Jack Xin, Zhiwen Zhang:
DeepParticle: learning invariant measure by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method. CoRR abs/2111.01356 (2021) - [i29]Yu-Yu Liu, Jack Xin:
Synchronized Front Propagation and Delayed Flame Quenching in Strain G-equation and Time-Periodic Cellular Flows. CoRR abs/2112.04360 (2021) - 2020
- [j46]Thu Dinh, Jack Xin:
Convergence of a Relaxed Variable Splitting Coarse Gradient Descent Method for Learning Sparse Weight Binarized Activation Neural Network. Frontiers Appl. Math. Stat. 6: 13 (2020) - [j45]Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin:
Structured Sparsity of Convolutional Neural Networks via Nonconvex Sparse Group Regularization. Frontiers Appl. Math. Stat. 6: 529564 (2020) - [j44]Xiaoying Dai, Xiong Kuang, Jack Xin, Aihui Zhou:
Two-Grid Based Adaptive Proper Orthogonal Decomposition Method for Time Dependent Partial Differential Equations. J. Sci. Comput. 84(3): 47 (2020) - [j43]Junlong Lyu, Zhongjian Wang, Jack Xin, Zhiwen Zhang:
Convergence Analysis of Stochastic Structure-Preserving Schemes for Computing Effective Diffusivity in Random Flows. SIAM J. Numer. Anal. 58(5): 3040-3067 (2020) - [c24]Zhijian Li, Yunling Zheng, Jack Xin, Guofa Zhou:
A Recurrent Neural Network and Differential Equation based Spatiotemporal Infectious Disease Model with Application to COVID-19. KDIR 2020: 93-103 - [c23]Thu Dinh, Jack Xin:
Convergence of a Relaxed Variable Splitting Method for Learning Sparse Neural Networks via ℓ 1, ℓ 0, and Transformed-ℓ 1 Penalties. IntelliSys (1) 2020: 360-374 - [c22]Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin:
Nonconvex Regularization for Network Slimming: Compressing CNNs Even More. ISVC (1) 2020: 39-53 - [c21]Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin:
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks. KDD 2020: 608-616 - [c20]Thu Dinh, Bao Wang, Andrea L. Bertozzi, Stanley J. Osher, Jack Xin:
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets. LOD (2) 2020: 362-381 - [i28]Ziang Long, Penghang Yin, Jack Xin:
Global Convergence and Geometric Characterization of Slow to Fast Weight Evolution in Neural Network Training for Classifying Linearly Non-Separable Data. CoRR abs/2002.12563 (2020) - [i27]Kevin Bui, Fredrick Park, Yifei Lou, Jack Xin:
A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image Segmentation. CoRR abs/2005.04401 (2020) - [i26]Zhijian Li, Yunling Zheng, Jack Xin, Guofa Zhou:
A Recurrent Neural Network and Differential Equation Based Spatiotemporal Infectious Disease Model with Application to COVID-19. CoRR abs/2007.10929 (2020) - [i25]Fanghui Xue, Yingyong Qi, Jack Xin:
RARTS: a Relaxed Architecture Search Method. CoRR abs/2008.03901 (2020) - [i24]Zhijian Li, Bao Wang, Jack Xin:
An Integrated Approach to Produce Robust Models with High Efficiency. CoRR abs/2008.13305 (2020) - [i23]Yuanchang Sun, Jack Xin:
Lorentzian Peak Sharpening and Sparse Blind Source Separation for NMR Spectroscopy. CoRR abs/2009.02200 (2020) - [i22]Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin:
Nonconvex Regularization for Network Slimming: Compressing CNNs Even More. CoRR abs/2010.01242 (2020) - [i21]Yunling Zheng, Zhijian Li, Jack Xin, Guofa Zhou:
A Spatial-Temporal Graph Based Hybrid Infectious Disease Model with Application to COVID-19. CoRR abs/2010.09077 (2020) - [i20]Ziang Long, Penghang Yin, Jack Xin:
Learning Quantized Neural Nets by Coarse Gradient Method for Non-linear Classification. CoRR abs/2011.11256 (2020) - [i19]Ziang Long, Penghang Yin, Jack Xin:
Recurrence of Optimum for Training Weight and Activation Quantized Networks. CoRR abs/2012.05529 (2020) - [i18]Chou Kao, Yu-Yu Liu, Jack Xin:
A Semi-Lagrangian Computation of Front Speeds of G-equation in ABC and Kolmogorov Flows with Estimation via Ballistic Orbits. CoRR abs/2012.11129 (2020)
2010 – 2019
- 2019
- [j42]Yufeng Liu, Jong-Shi Pang, Jack Xin:
Preface. Math. Program. 176(1-2): 1-4 (2019) - [j41]Michael Ho, Jack Xin:
Sparse Kalman filtering approaches to realized covariance estimation from high frequency financial data. Math. Program. 176(1-2): 247-278 (2019) - [c19]Fanghui Xue, Jack Xin, Jiancheng Lyu, Shuai Zhang, Yingyong Qi:
Short Paper: A Multistage Backward Differentiable Method for Constructing Light Convolutional Neural Networks. AI4I 2019: 89-90 - [c18]Biao Yang, Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin:
Channel Pruning for Deep Neural Networks Via a Relaxed Groupwise Splitting Method. AI4I 2019: 97-98 - [c17]Jiancheng Lyu, Jack Xin, Yifeng Yu:
Computing Residual Diffusivity by Adaptive Basis Learning via Super-Resolution Deep Neural Networks. ICCSAMA 2019: 279-290 - [c16]Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin:
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. ICLR (Poster) 2019 - [c15]Zhijian Li, Xiyang Luo, Bao Wang, Andrea L. Bertozzi, Jack Xin:
A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting. WCGO 2019: 730-739 - [c14]Fanghui Xue, Jack Xin:
Learning Sparse Neural Networks via \ell _0 and T \ell _1 by a Relaxed Variable Splitting Method with Application to Multi-scale Curve Classification. WCGO 2019: 800-809 - [i17]Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin:
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks. CoRR abs/1901.08624 (2019) - [i16]Zhijian Li, Xiyang Luo, Bao Wang, Andrea L. Bertozzi, Jack Xin:
A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting. CoRR abs/1902.05113 (2019) - [i15]Fanghui Xue, Jack Xin:
Learning Sparse Neural Networks via $\ell_0$ and T$\ell_1$ by a Relaxed Variable Splitting Method with Application to Multi-scale Curve Classification. CoRR abs/1902.07419 (2019) - [i14]Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin:
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. CoRR abs/1903.05662 (2019) - [i13]Junlong Lyu, Zhongjian Wang, Jack Xin, Zhiwen Zhang:
Convergence of stochastic structure-preserving schemes for computing effective diffusivity in random flows. CoRR abs/1906.08927 (2019) - [i12]Xiaoying Dai, Xiong Kuang, Jack Xin, Aihui Zhou:
Two-Grid based Adaptive Proper Orthogonal Decomposition Algorithm for Time Dependent Partial Differential Equations. CoRR abs/1906.09736 (2019) - [i11]Jiancheng Lyu, Jack Xin, Yifeng Yu:
Computing Residual Diffusivity by Adaptive Basis Learning via Super-Resolution Deep Neural Networks. CoRR abs/1910.00403 (2019) - [i10]Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin:
𝓁0 Regularized Structured Sparsity Convolutional Neural Networks. CoRR abs/1912.07868 (2019) - 2018
- [j40]Xiaolong Long, Knut Solna, Jack Xin:
Three l1 Based Nonconvex Methods in Constructing Sparse Mean Reverting Portfolios. J. Sci. Comput. 75(2): 1156-1186 (2018) - [j39]Penghang Yin, Jack Xin, Yingyong Qi:
Linear Feature Transform and Enhancement of Classification on Deep Neural Network. J. Sci. Comput. 76(3): 1396-1406 (2018) - [j38]Shuai Zhang, Jack Xin:
Minimization of transformed L1 penalty: theory, difference of convex function algorithm, and robust application in compressed sensing. Math. Program. 169(1): 307-336 (2018) - [j37]Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin:
BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights. SIAM J. Imaging Sci. 11(4): 2205-2223 (2018) - [j36]Zhongjian Wang, Jack Xin, Zhiwen Zhang:
Computing Effective Diffusivity of Chaotic and Stochastic Flows Using Structure-Preserving Schemes. SIAM J. Numer. Anal. 56(4): 2322-2344 (2018) - [i9]Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin:
BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights. CoRR abs/1801.06313 (2018) - [i8]Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin:
Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks. CoRR abs/1808.05240 (2018) - 2017
- [j35]Miju Ahn, Jong-Shi Pang, Jack Xin:
Difference-of-Convex Learning: Directional Stationarity, Optimality, and Sparsity. SIAM J. Optim. 27(3): 1637-1665 (2017) - [j34]Yuanchang Sun, Wensong Wu, Jack Xin:
Computational modeling of spectral data fitting with nonlinear distortions. Signal Image Video Process. 11(4): 651-658 (2017) - [i7]Penghang Yin, Zhe Sun, Wenlong Jin, Jack Xin:
Link Flow Correction For Inconsistent Traffic Flow Data Via 𝓁1-Minimization. CoRR abs/1704.02052 (2017) - [i6]Bao Wang, Penghang Yin, Andrea L. Bertozzi, P. Jeffrey Brantingham, Stanley J. Osher, Jack Xin:
Deep Learning for Real-Time Crime Forecasting and its Ternarization. CoRR abs/1711.08833 (2017) - 2016
- [j33]Yifei Lou, Penghang Yin, Jack Xin:
Point Source Super-resolution Via Non-convex L1 Based Methods. J. Sci. Comput. 68(3): 1082-1100 (2016) - [j32]Tyler McMillen, Jack Xin, Yifeng Yu, Andrej Zlatos:
Ballistic Orbits and Front Speed Enhancement for ABC Flows. SIAM J. Appl. Dyn. Syst. 15(3): 1753-1782 (2016) - [j31]Jack Xin, Yifeng Yu, Andrej Zlatos:
Periodic Orbits of the ABC Flow with A=B=C=1. SIAM J. Math. Anal. 48(6): 4087-4093 (2016) - [j30]Penghang Yin, Yuanchang Sun, Jack Xin:
A geometric blind source separation method based on facet component analysis. Signal Image Video Process. 10(1): 19-28 (2016) - [c13]Steve Warren, Punit Prakash, David E. Thompson, Bala Natarajan, Charles Carlson, Kim R. Fowler, Ed Brokesh, Jack Xin, Wayne Piersel, Janine Kesterson, Steve Stoffregen:
Design projects motivated and informed by the needs of severely disabled autistic children. EMBC 2016: 3015-3018 - [c12]Fredrick Park, Yifei Lou, Jack Xin:
A weighted difference of anisotropic and isotropic total variation for relaxed Mumford-Shah image segmentation. ICIP 2016: 4314-4318 - [i5]Penghang Yin, Jack Xin:
Iterative ℓ1 minimization for non-convex compressed sensing. CoRR abs/1604.07924 (2016) - [i4]Penghang Yin, Shuai Zhang, Jack Xin, Yingyong Qi:
Training Ternary Neural Networks with Exact Proximal Operator. CoRR abs/1612.06052 (2016) - 2015
- [j29]Yifei Lou, Penghang Yin, Qi He, Jack Xin:
Computing Sparse Representation in a Highly Coherent Dictionary Based on Difference of L1 and L2. J. Sci. Comput. 64(1): 178-196 (2015) - [j28]Xiaohua Shi, Fredrick Park, Lina Wang, Jack Xin, Yingyong Qi:
Parallelization of a color-entropy preprocessed Chan-Vese model for face contour detection on multi-core CPU and GPU. Parallel Comput. 49: 28-49 (2015) - [j27]Michael Ho, Zheng Sun, Jack Xin:
Weighted Elastic Net Penalized Mean-Variance Portfolio Design and Computation. SIAM J. Financial Math. 6(1): 1220-1244 (2015) - [j26]Yifei Lou, Tieyong Zeng, Stanley J. Osher, Jack Xin:
A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing. SIAM J. Imaging Sci. 8(3): 1798-1823 (2015) - [j25]Penghang Yin, Yifei Lou, Qi He, Jack Xin:
Minimization of ℓ1-2 for Compressed Sensing. SIAM J. Sci. Comput. 37(1) (2015) - [c11]Yifei Lou, Stanley J. Osher, Jack Xin:
Computational Aspects of Constrained L 1-L 2 Minimization for Compressive Sensing. MCO (1) 2015: 169-180 - [i3]