Jack Xin - RankMe

169 papers A* 3A 5B 3C 2Misc 2Journal 129Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Image Prior with L0 Gradient Regularizer for Image Smoothing. CoRR Nhat Thanh Tran, Kevin Bui, Jack Xin
2026	J	`jnl`	Evaluating AI Grading on Real-World Handwritten College Mathematics: A Large-Scale Study Toward a Benchmark. CoRR Zhiqi Yu, Xingping Liu, Haobin Mao, Mingshuo Liu, Long Chen, Jack Xin, Yifeng Yu
2025	J	`jnl`	A Convergent Interacting Particle Method for Computing KPP Front Speeds in Random Flows. SIAM/ASA J. Uncertain. Quantification Tan Zhang, Zhongjian Wang, Jack Xin, Zhiwen Zhang
2025	J	`jnl`	A Novel Stochastic Interacting Particle-Field Algorithm for 3D Parabolic-Parabolic Keller-Segel Chemotaxis System. J. Sci. Comput. Zhongjian Wang, Jack Xin, Zhiwen Zhang
2025	J	`jnl`	A Stochastic Genetic Interacting Particle Method for Reaction-Diffusion-Advection Equations. CoRR Boyi Hu, Zhongjian Wang, Jack Xin, Zhiwen Zhang
2025	J	`jnl`	A fast stochastic interacting particle-field method for 3D parabolic parabolic Chemotaxis systems: numerical algorithms and error analysis. CoRR Jingyuan Hu, Zhongjian Wang, Jack Xin, Zhiwen Zhang
2025	J	`jnl`	An Efficient Particle-Field Algorithm with Neural Interpolation based on a Parabolic-Hyperbolic Chemotaxis System in 3D. CoRR Jongwon David Kim, Jack Xin
2025	J	`jnl`	Beyond Discreteness: Finite-Sample Analysis of Straight-Through Estimator for Quantization. CoRR Halyun Jeong, Jack Xin, Penghang Yin
2025	J	`jnl`	COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization. IEEE Access Aozhong Zhang, Zi Yang, Naigang Wang, Yingyong Qi, Jack Xin, Xin Li, Penghang Yin
2025	J	`jnl`	Computing Large Deviation Rate Functions of Entropy Production for Diffusion Processes by an Interacting Particle Method. SIAM J. Sci. Comput. Zhizhang Wu, Renaud Raquépas, Jack Xin, Zhiwen Zhang
2025	J	`jnl`	Convergence Analysis of a Stochastic Interacting Particle-Field Algorithm for 3D Parabolic-Parabolic Keller-Segel Systems. CoRR Boyi Hu, Zhongjian Wang, Jack Xin, Zhiwen Zhang
2025	J	`jnl`	CrossLag: Predicting Major Dengue Outbreaks with a Domain Knowledge Informed Transformer. CoRR Ashwin Prabu, Nhat Thanh Tran, Guofa Zhou, Jack Xin
2025	J	`jnl`	Filter then Attend: Improving attention-based Time Series Forecasting with Spectral Filtering. CoRR Elisha Dayag, Nhat Thanh Van Tran, Jack Xin
2025	J	`jnl`	Fourier-mixed window attention for efficient and robust long sequence time-series forecasting. Frontiers Appl. Math. Stat. Nhat Thanh Tran, Jack Xin
2025	A*	`conf`	Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates. ICLR Connor Mooney, Zhongjian Wang, Jack Xin, Yifeng Yu
2025	J	`jnl`	SEMA: a Scalable and Efficient Mamba like Attention via Token Localization and Averaging. CoRR Nhat Thanh Tran, Fanghui Xue, Shuai Zhang, Jiancheng Lyu, Yunling Zheng, Yingyong Qi, Jack Xin
2024	J	`jnl`	A Stochastic Interacting Particle-Field Algorithm for a Haptotaxis Advection-Diffusion System Modeling Cancer Cell Invasion. CoRR Boyi Hu, Zhongjian Wang, Jack Xin, Zhiwen Zhang
2024	J	`jnl`	A structure-preserving scheme for computing effective diffusivity and anomalous diffusion phenomena of random flows. CoRR Tan Zhang, Zhongjian Wang, Jack Xin, Zhiwen Zhang
2024	—	`conf`	AFIDAF: Alternating Fourier and Image Domain Adaptive Filters as an Efficient Alternative to Attention in ViTs. ISVC (1) Yunling Zheng, Zeyi Xu, Fanghui Xue, Biao Yang, Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
2024	J	`jnl`	AFIDAF: Alternating Fourier and Image Domain Adaptive Filters as an Efficient Alternative to Attention in ViTs. CoRR Yunling Zheng, Zeyi Xu, Fanghui Xue, Biao Yang, Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
2024	—	`conf`	An Image Segmentation Model with Transformed Total Variation. EUSIPCO Elisha Dayag, Kevin Bui, Fredrick Park, Jack Xin
2024	J	`jnl`	An Image Segmentation Model with Transformed Total Variation. CoRR Elisha Dayag, Kevin Bui, Fredrick Park, Jack Xin
2024	J	`jnl`	An augmented subspace based adaptive proper orthogonal decomposition method for time dependent partial differential equations. J. Comput. Phys. Xiaoying Dai, Miao Hu, Jack Xin, Aihui Zhou
2024	J	`jnl`	COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization. CoRR Aozhong Zhang, Zi Yang, Naigang Wang, Yingyong Qin, Jack Xin, Xin Li, Penghang Yin
2024	J	`jnl`	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 Zhizhang Wu, Renaud Raquépas, Jack Xin, Zhiwen Zhang
2024	—	`conf`	FWin Transformer for Dengue Prediction Under Climate and Ocean Influence. LOD (2) Nhat Thanh Tran, Jack Xin, Guofa Zhou
2024	J	`jnl`	FWin transformer for dengue prediction under climate and ocean influence. CoRR Nhat Thanh Tran, Jack Xin, Guofa Zhou
2024	J	`jnl`	Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates. CoRR Connor Mooney, Zhongjian Wang, Jack Xin, Yifeng Yu
2024	A*	`conf`	Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks. ICLR Shih-Hsin Wang, Yung-Chang Hsu, Justin M. Baker, Andrea L. Bertozzi, Jack Xin, Bao Wang
2023	J	`jnl`	A Novel Stochastic Interacting Particle-Field Algorithm for 3D Parabolic-Parabolic Keller-Segel Chemotaxis System. CoRR Zhongjian Wang, Jack Xin, Zhiwen Zhang
2023	—	`conf`	A Proximal Algorithm for Network Slimming. LOD (2) Kevin Bui, Fanghui Xue, Fredrick Park, Yingyong Qi, Jack Xin
2023	J	`jnl`	A Proximal Algorithm for Network Slimming. CoRR Kevin Bui, Fanghui Xue, Fredrick Park, Yingyong Qi, Jack Xin
2023	J	`jnl`	A convergent interacting particle method for computing KPP front speeds in random flows. CoRR Tan Zhang, Zhongjian Wang, Jack Xin, Zhiwen Zhang
2023	J	`jnl`	An Augmented Subspace Based Adaptive Proper Orthogonal Decomposition Method for Time Dependent Partial Differential Equations. CoRR Xiaoying Dai, Miao Hu, Jack Xin, Aihui Zhou
2023	J	`jnl`	Difference of anisotropic and isotropic TV for segmentation under blur and Poisson noise. Frontiers Comput. Sci. Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin
2023	J	`jnl`	Efficient Image Segmentation Framework with Difference of Anisotropic and Isotropic Total Variation for Blur and Poisson Noise Removal. CoRR Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin
2023	J	`jnl`	Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data. IEEE Access Zhijian Li, Biao Yang, Penghang Yin, Yingyong Qi, Jack Xin
2023	J	`jnl`	Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data. CoRR Zhijian Li, Biao Yang, Penghang Yin, Yingyong Qi, Jack Xin
2023	J	`jnl`	Fourier-Mixed Window Attention: Accelerating Informer for Long Sequence Time-Series Forecasting. CoRR Nhat Thanh Tran, Jack Xin
2023	B	`conf`	Weighted Anisotropic-Isotropic Total Variation for Poisson Denoising. ICIP Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin
2023	J	`jnl`	Weighted Anisotropic-Isotropic Total Variation for Poisson Denoising. CoRR Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin
2022	J	`jnl`	A Convergent Interacting Particle Method and Computation of KPP Front Speeds in Chaotic Flows. SIAM J. Numer. Anal. Junlong Lyu, Zhongjian Wang, Jack Xin, Zhiwen Zhang
2022	J	`jnl`	A DeepParticle method for learning and generating aggregation patterns in multi-dimensional Keller-Segel chemotaxis systems. CoRR Zhongjian Wang, Jack Xin, Zhiwen Zhang
2022	J	`jnl`	A Semi-Lagrangian Computation of Front Speeds of G-equation in ABC and Kolmogorov Flows with Estimation via Ballistic Orbits. Multiscale Model. Simul. Chou Kao, Yu-Yu Liu, Jack Xin
2022	J	`jnl`	A Smoothing and Thresholding Image Segmentation Framework with Weighted Anisotropic-Isotropic Total Variation. CoRR Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin
2022	C	`conf`	An Integrated Recurrent Neural Network and Regression Model with Spatial and Climatic Couplings for Vector-borne Disease Dynamics. ICPRAM Zhijian Li, Jack Xin, Guofa Zhou
2022	J	`jnl`	An integrated recurrent neural network and regression model with spatial and climatic couplings for vector-borne disease dynamics. CoRR Zhijian Li, Jack Xin, Guofa Zhou
2022	J	`jnl`	Channel Pruning In Quantization-aware Training: An Adaptive Projection-gradient Descent-shrinkage-splitting Method. CoRR Zhijian Li, Jack Xin
2022	—	`conf`	Channel Pruning in Quantization-aware Training: an Adaptive Projection-gradient Descent-shrinkage-splitting Method. AI4I Zhijian Li, Jack Xin
2022	J	`jnl`	DeepParticle: Learning invariant measure by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method. J. Comput. Phys. Zhongjian Wang, Jack Xin, Zhiwen Zhang
2022	—	`conf`	Enhancing Zero-Shot Many to Many Voice Conversion via Self-Attention VAE with Structurally Regularized Layers. AI4I Ziang Long, Yunling Zheng, Meng Yu, Jack Xin
2022	J	`jnl`	Enhancing Zero-Shot Many to Many Voice Conversion with Self-Attention VAE. CoRR Ziang Long, Yunling Zheng, Meng Yu, Jack Xin
2022	Misc	`conf`	Glassoformer: A Query-Sparse Transformer for Post-Fault Power Grid Voltage Prediction. ICASSP Yunling Zheng, Carson Hu, Guang Lin, Meng Yue, Bao Wang, Jack Xin
2022	J	`jnl`	Lorentzian peak sharpening and sparse blind source separation for NMR spectroscopy. Signal Image Video Process. Yuanchang Sun, Jack Xin
2022	—	`conf`	Post-Fault Power Grid Voltage Prediction via 1D-CNN with Spatial Coupling. AI4I Carson Hu, Guang Lin, Bao Wang, Meng Yue, Jack Xin
2022	J	`jnl`	Proximal Implicit ODE Solvers for Accelerating Learning Neural ODEs. CoRR Justin M. Baker, Hedi Xia, Yiwei Wang, Elena Cherkaev, Akil Narayan, Long Chen, Jack Xin, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang
2022	J	`jnl`	RARTS: An Efficient First-Order Relaxed Architecture Search Method. IEEE Access Fanghui Xue, Yingyong Qi, Jack Xin
2022	J	`jnl`	Searching Intrinsic Dimensions of Vision Transformers. CoRR Fanghui Xue, Biao Yang, Yingyong Qi, Jack Xin
2022	J	`jnl`	glassoformer: a query-sparse transformer for post-fault power grid voltage prediction. CoRR Yunling Zheng, Carson Hu, Guang Lin, Meng Yue, Bao Wang, Jack Xin
2021	C	`conf`	A Spatial-temporal Graph based Hybrid Infectious Disease Model with Application to COVID-19. ICPRAM Yunling Zheng, Zhijian Li, Jack Xin, Guofa Zhou
2021	J	`jnl`	A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image Segmentation. SIAM J. Imaging Sci. Kevin Bui, Fredrick Park, Yifei Lou, Jack Xin
2021	J	`jnl`	A convergent interacting particle method and computation of KPP front speeds in chaotic flows. CoRR Junlong Lyu, Zhongjian Wang, Jack Xin, Zhiwen Zhang
2021	—	`conf`	An Integrated Approach to Produce Robust Deep Neural Network Models with High Efficiency. LOD Zhijian Li, Bao Wang, Jack Xin
2021	J	`jnl`	Convergence analysis of a Lagrangian numerical scheme in computing effective diffusivity of 3D time-dependent flows. CoRR Zhongjian Wang, Jack Xin, Zhiwen Zhang
2021	J	`jnl`	DeepParticle: learning invariant measure by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method. CoRR Zhongjian Wang, Jack Xin, Zhiwen Zhang
2021	J	`jnl`	Error Estimates for a POD Method for Solving Viscous G-Equations in Incompressible Cellular Flows. SIAM J. Sci. Comput. Haotian Gu, Jack Xin, Zhiwen Zhang
2021	—	`conf`	Improving Efficient Semantic Segmentation Networks by Enhancing Multi-scale Feature Representation via Resolution Path Based Knowledge Distillation and Pixel Shuffle. ISVC (2) Biao Yang, Fanghui Xue, Yingyong Qi, Jack Xin
2021	J	`jnl`	Improving Network Slimming With Nonconvex Regularization. IEEE Access Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
2021	—	`conf`	Network Compression via Cooperative Architecture Search and Distillation. AI4I Fanghui Xue, Jack Xin
2021	J	`jnl`	Sharp Error Estimates on a Stochastic Structure-Preserving Scheme in Computing Effective Diffusivity of 3D Chaotic Flows. Multiscale Model. Simul. Zhongjian Wang, Jack Xin, Zhiwen Zhang
2021	J	`jnl`	Synchronized Front Propagation and Delayed Flame Quenching in Strain G-equation and Time-Periodic Cellular Flows. CoRR Yu-Yu Liu, Jack Xin
2020	J	`jnl`	A Recurrent Neural Network and Differential Equation Based Spatiotemporal Infectious Disease Model with Application to COVID-19. CoRR Zhijian Li, Yunling Zheng, Jack Xin, Guofa Zhou
2020	—	`conf`	A Recurrent Neural Network and Differential Equation based Spatiotemporal Infectious Disease Model with Application to COVID-19. KDIR Zhijian Li, Yunling Zheng, Jack Xin, Guofa Zhou
2020	J	`jnl`	A Semi-Lagrangian Computation of Front Speeds of G-equation in ABC and Kolmogorov Flows with Estimation via Ballistic Orbits. CoRR Chou Kao, Yu-Yu Liu, Jack Xin
2020	J	`jnl`	A Spatial-Temporal Graph Based Hybrid Infectious Disease Model with Application to COVID-19. CoRR Yunling Zheng, Zhijian Li, Jack Xin, Guofa Zhou
2020	J	`jnl`	A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image Segmentation. CoRR Kevin Bui, Fredrick Park, Yifei Lou, Jack Xin
2020	J	`jnl`	An Integrated Approach to Produce Robust Models with High Efficiency. CoRR Zhijian Li, Bao Wang, Jack Xin
2020	A*	`conf`	AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks. KDD Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
2020	J	`jnl`	Convergence Analysis of Stochastic Structure-Preserving Schemes for Computing Effective Diffusivity in Random Flows. SIAM J. Numer. Anal. Junlong Lyu, Zhongjian Wang, Jack Xin, Zhiwen Zhang
2020	J	`jnl`	Convergence of a Relaxed Variable Splitting Coarse Gradient Descent Method for Learning Sparse Weight Binarized Activation Neural Network. Frontiers Appl. Math. Stat. Thu Dinh, Jack Xin
2020	—	`conf`	Convergence of a Relaxed Variable Splitting Method for Learning Sparse Neural Networks via ℓ IntelliSys (1) Thu Dinh, Jack Xin
2020	J	`jnl`	Global Convergence and Geometric Characterization of Slow to Fast Weight Evolution in Neural Network Training for Classifying Linearly Non-Separable Data. CoRR Ziang Long, Penghang Yin, Jack Xin
2020	J	`jnl`	Learning Quantized Neural Nets by Coarse Gradient Method for Non-linear Classification. CoRR Ziang Long, Penghang Yin, Jack Xin
2020	J	`jnl`	Lorentzian Peak Sharpening and Sparse Blind Source Separation for NMR Spectroscopy. CoRR Yuanchang Sun, Jack Xin
2020	—	`conf`	Nonconvex Regularization for Network Slimming: Compressing CNNs Even More. ISVC (1) Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
2020	J	`jnl`	Nonconvex Regularization for Network Slimming: Compressing CNNs Even More. CoRR Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
2020	J	`jnl`	RARTS: a Relaxed Architecture Search Method. CoRR Fanghui Xue, Yingyong Qi, Jack Xin
2020	J	`jnl`	Recurrence of Optimum for Training Weight and Activation Quantized Networks. CoRR Ziang Long, Penghang Yin, Jack Xin
2020	—	`conf`	Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets. LOD (2) Thu Dinh, Bao Wang, Andrea L. Bertozzi, Stanley J. Osher, Jack Xin
2020	J	`jnl`	Structured Sparsity of Convolutional Neural Networks via Nonconvex Sparse Group Regularization. Frontiers Appl. Math. Stat. Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
2020	J	`jnl`	Two-Grid Based Adaptive Proper Orthogonal Decomposition Method for Time Dependent Partial Differential Equations. J. Sci. Comput. Xiaoying Dai, Xiong Kuang, Jack Xin, Aihui Zhou
2019	—	`conf`	A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting. WCGO Zhijian Li, Xiyang Luo, Bao Wang, Andrea L. Bertozzi, Jack Xin
2019	J	`jnl`	A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting. CoRR Zhijian Li, Xiyang Luo, Bao Wang, Andrea L. Bertozzi, Jack Xin
2019	J	`jnl`	AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks. CoRR Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
2019	—	`conf`	Channel Pruning for Deep Neural Networks Via a Relaxed Groupwise Splitting Method. AI4I Biao Yang, Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
2019	—	`conf`	Computing Residual Diffusivity by Adaptive Basis Learning via Super-Resolution Deep Neural Networks. ICCSAMA Jiancheng Lyu, Jack Xin, Yifeng Yu
2019	J	`jnl`	Computing Residual Diffusivity by Adaptive Basis Learning via Super-Resolution Deep Neural Networks. CoRR Jiancheng Lyu, Jack Xin, Yifeng Yu
2019	J	`jnl`	Convergence of stochastic structure-preserving schemes for computing effective diffusivity in random flows. CoRR Junlong Lyu, Zhongjian Wang, Jack Xin, Zhiwen Zhang
2019	J	`jnl`	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 Fanghui Xue, Jack Xin
2019	—	`conf`	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 Fanghui Xue, Jack Xin
2019	J	`jnl`	Preface. Math. Program. Yufeng Liu, Jong-Shi Pang, Jack Xin
2019	—	`conf`	Short Paper: A Multistage Backward Differentiable Method for Constructing Light Convolutional Neural Networks. AI4I Fanghui Xue, Jack Xin, Jiancheng Lyu, Shuai Zhang, Yingyong Qi
2019	J	`jnl`	Sparse Kalman filtering approaches to realized covariance estimation from high frequency financial data. Math. Program. Michael Ho, Jack Xin
2019	J	`jnl`	Two-Grid based Adaptive Proper Orthogonal Decomposition Algorithm for Time Dependent Partial Differential Equations. CoRR Xiaoying Dai, Xiong Kuang, Jack Xin, Aihui Zhou
2019	—	`conf`	Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. ICLR (Poster) Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin
2019	J	`jnl`	Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. CoRR Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin
2019	J	`jnl`	𝓁 CoRR Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
2018	J	`jnl`	BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights. CoRR Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin
2018	J	`jnl`	BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights. SIAM J. Imaging Sci. Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin
2018	J	`jnl`	Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks. CoRR Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin
2018	J	`jnl`	Computing Effective Diffusivity of Chaotic and Stochastic Flows Using Structure-Preserving Schemes. SIAM J. Numer. Anal. Zhongjian Wang, Jack Xin, Zhiwen Zhang
2018	J	`jnl`	Linear Feature Transform and Enhancement of Classification on Deep Neural Network. J. Sci. Comput. Penghang Yin, Jack Xin, Yingyong Qi
2018	J	`jnl`	Minimization of transformed L Math. Program. Shuai Zhang, Jack Xin
2018	J	`jnl`	Three l J. Sci. Comput. Xiaolong Long, Knut Solna, Jack Xin
2017	J	`jnl`	Computational modeling of spectral data fitting with nonlinear distortions. Signal Image Video Process. Yuanchang Sun, Wensong Wu, Jack Xin
2017	J	`jnl`	Deep Learning for Real-Time Crime Forecasting and its Ternarization. CoRR Bao Wang, Penghang Yin, Andrea L. Bertozzi, P. Jeffrey Brantingham, Stanley J. Osher, Jack Xin
2017	J	`jnl`	Difference-of-Convex Learning: Directional Stationarity, Optimality, and Sparsity. SIAM J. Optim. Miju Ahn, Jong-Shi Pang, Jack Xin
2017	J	`jnl`	Link Flow Correction For Inconsistent Traffic Flow Data Via 𝓁 CoRR Penghang Yin, Zhe Sun, Wenlong Jin, Jack Xin
2016	J	`jnl`	A geometric blind source separation method based on facet component analysis. Signal Image Video Process. Penghang Yin, Yuanchang Sun, Jack Xin
2016	B	`conf`	A weighted difference of anisotropic and isotropic total variation for relaxed Mumford-Shah image segmentation. ICIP Fredrick Park, Yifei Lou, Jack Xin
2016	J	`jnl`	Ballistic Orbits and Front Speed Enhancement for ABC Flows. SIAM J. Appl. Dyn. Syst. Tyler McMillen, Jack Xin, Yifeng Yu, Andrej Zlatos
2016	—	`conf`	Design projects motivated and informed by the needs of severely disabled autistic children. EMBC Steve Warren, Punit Prakash, David E. Thompson, Bala Natarajan, Charles Carlson, Kim R. Fowler, Ed Brokesh, Jack Xin, Wayne Piersel, Janine Kesterson, Steve Stoffregen
2016	J	`jnl`	Iterative ℓ CoRR Penghang Yin, Jack Xin
2016	J	`jnl`	Periodic Orbits of the ABC Flow with A=B=C=1. SIAM J. Math. Anal. Jack Xin, Yifeng Yu, Andrej Zlatos
2016	J	`jnl`	Point Source Super-resolution Via Non-convex L J. Sci. Comput. Yifei Lou, Penghang Yin, Jack Xin
2016	J	`jnl`	Training Ternary Neural Networks with Exact Proximal Operator. CoRR Penghang Yin, Shuai Zhang, Jack Xin, Yingyong Qi
2015	J	`jnl`	A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing. SIAM J. Imaging Sci. Yifei Lou, Tieyong Zeng, Stanley J. Osher, Jack Xin
2015	—	`conf`	Computational Aspects of Constrained L 1-L 2 Minimization for Compressive Sensing. MCO (1) Yifei Lou, Stanley J. Osher, Jack Xin
2015	J	`jnl`	Computing Sparse Representation in a Highly Coherent Dictionary Based on Difference of L J. Sci. Comput. Yifei Lou, Penghang Yin, Qi He, Jack Xin
2015	J	`jnl`	Minimization of ℓ SIAM J. Sci. Comput. Penghang Yin, Yifei Lou, Qi He, Jack Xin
2015	J	`jnl`	Parallelization of a color-entropy preprocessed Chan-Vese model for face contour detection on multi-core CPU and GPU. Parallel Comput. Xiaohua Shi, Fredrick Park, Lina Wang, Jack Xin, Yingyong Qi
2015	J	`jnl`	Transformed Schatten-1 Iterative Thresholding Algorithms for Matrix Rank Minimization and Applications. CoRR Shuai Zhang, Penghang Yin, Jack Xin
2015	J	`jnl`	Weighted Elastic Net Penalized Mean-Variance Portfolio Design and Computation. SIAM J. Financial Math. Michael Ho, Zheng Sun, Jack Xin
2014	J	`jnl`	A sparse semi-blind source identification method and its application to Raman spectroscopy for explosives detection. Signal Process. Yuanchang Sun, Jack Xin
2014	J	`jnl`	Asymptotic Growth Rates and Strong Bending of Turbulent Flame Speeds of G-Equation in Steady Two-Dimensional Incompressible Periodic Flows. SIAM J. Math. Anal. Jack Xin, Yifeng Yu
2014	J	`jnl`	Minimization of Transformed L CoRR Shuai Zhang, Jack Xin
2014	J	`jnl`	Minimization of Transformed L_1 Penalty: Theory, Difference of Convex Function Algorithm, and Robust Application in Compressed Sensing. CoRR Shuai Zhang, Jack Xin
2014	J	`jnl`	Partially Blind Deblurring of Barcode from Out-of-Focus Blur. SIAM J. Imaging Sci. Yifei Lou, Ernie Esser, Hongkai Zhao, Jack Xin
2014	J	`jnl`	Ratio and difference of $l_1$ and $l_2$ norms and sparse representation with coherent dictionaries. Commun. Inf. Syst. Penghang Yin, Ernie Esser, Jack Xin
2013	J	`jnl`	A Method for Finding Structured Sparse Solutions to Nonnegative Least Squares Problems with Applications. SIAM J. Imaging Sci. Ernie Esser, Yifei Lou, Jack Xin
2013	Misc	`conf`	A randomly perturbed infomax algorithm for blind source separation. ICASSP Qi He, Jack Xin
2013	J	`jnl`	Finite Element Computation of KPP Front Speeds in Cellular and Cat's Eye Flows. J. Sci. Comput. Lihua Shen, Jack Xin, Aihui Zhou
2012	J	`jnl`	A Convex Model for Nonnegative Matrix Factorization and Dimensionality Reduction on Physical Space. IEEE Trans. Image Process. Ernie Esser, Michael Möller, Stanley J. Osher, Guillermo Sapiro, Jack Xin
2012	J	`jnl`	A Recursive Sparse Blind Source Separation Method and Its Application to Correlated Data in NMR Spectroscopy of Biofluids. J. Sci. Comput. Yuanchang Sun, Jack Xin
2012	A	`conf`	A Triple-Microphone Real-Time Speech Enhancement Algorithm Based on Approximate Array Analytical Solutions. INTERSPEECH Meng Yu, Ryan Ritch, Jack Xin
2012	J	`jnl`	Convergence analysis of a randomly perturbed infomax algorithm for blind source separation. Commun. Inf. Syst. Qi He, Jack Xin
2012	A	`conf`	Exploring Off Time Nature for Speech Enhancement. INTERSPEECH Meng Yu, Jack Xin
2012	J	`jnl`	Hybrid deterministic-stochastic gradient Langevin dynamics for Bayesian learning. Commun. Inf. Syst. Qi He, Jack Xin
2012	J	`jnl`	Multi-Channel l IEEE Trans. Speech Audio Process. Meng Yu, Wenye Ma, Jack Xin, Stanley J. Osher
2012	J	`jnl`	Nonnegative Sparse Blind Source Separation for NMR Spectroscopy by Data Clustering, Model Reduction, and SIAM J. Imaging Sci. Yuanchang Sun, Jack Xin
2011	—	`conf`	A Recursive Sparse Blind Source Separation Method for Nonnegative and Correlated Data in NMR Spectroscopy. CAIP (2) Yuanchang Sun, Jack Xin
2011	—	`conf`	Content Adaptive Image Matching by Color-Entropy Segmentation and Inpainting. CAIP (2) Yuanchang Sun, Jack Xin
2011	B	`conf`	Modeling Category Identification Using Sparse Instance Representation. CogSci Shunan Zhang, Michael D. Lee, Meng Yu, Jack Xin
2011	J	`jnl`	Postprocessing and sparse blind source separation of positive and partially overlapped data. Signal Process. Yuanchang Sun, C. Ridge, Federico del Rio-Portilla, Athan J. Shaka, Jack Xin
2011	J	`jnl`	Underdetermined Sparse Blind Source Separation of Nonnegative and Partially Overlapped Data. SIAM J. Sci. Comput. Yuanchang Sun, Jack Xin
2010	J	`jnl`	A Critical Quantity for Noise Attenuation in Feedback Systems. PLoS Comput. Biol. Liming Wang, Jack Xin, Qing Nie
2010	A	`conf`	Convexity and fast speech extraction by split bregman method. INTERSPEECH Meng Yu, Wenye Ma, Jack Xin, Stanley J. Osher
2010	A	`conf`	Reducing musical noise in blind source separation by time-domain sparse filters and split bregman method. INTERSPEECH Wenye Ma, Meng Yu, Jack Xin, Stanley J. Osher
2009	J	`jnl`	A Soft-Constrained Dynamic Iterative Method of Blind Source Separation. Multiscale Model. Simul. Jie Liu, Jack Xin, Yingyong Qi
2009	—	`conf`	A nonlocally weighted soft-constrained natural gradient algorithm for blind separation of reverberant speech. WASPAA Jack Xin, Meng Yu, Yingyong Qi, Hsin-I Yang, Fan-Gang Zeng
2008	J	`jnl`	A dynamic algorithm for blind separation of convolutive sound mixtures. Neurocomputing Jie Liu, Jack Xin, Yingyong Qi
2008	J	`jnl`	Finite Element Computations of Kolmogorov-Petrovsky-Piskunov Front Speeds in Random Shear Flows in Cylinders. Multiscale Model. Simul. Lihua Shen, Jack Xin, Aihui Zhou
2006	J	`jnl`	Signal processing of acoustic signals in the time domain with an active nonlinear nonlocal cochlear model. Signal Process. Michael Drew Lamar, Jack Xin, Yingyong Qi
2005	J	`jnl`	A Numerical Study of the Light Bullets Interaction in the (2+1) Sine-Gordon Equation. J. Nonlinear Sci. Timothy Povich, Jack Xin
2005	J	`jnl`	A Two-Dimensional Nonlinear Nonlocal Feed-Forward Cochlear Model and Time Domain Computation of Multitone Interactions. Multiscale Model. Simul. Yongsam Kim, Jack Xin
2003	J	`jnl`	Reaction-Diffusion Front Speeds in Spatially-Temporally Periodic Shear Flows. Multiscale Model. Simul. Jim Nolen, Jack Xin
2001	J	`jnl`	Diffusion-Generated Motion by Mean Curvature for Filaments. J. Nonlinear Sci. Steven J. Ruuth, Barry Merriman, Jack Xin, Stanley J. Osher
2000	A	`conf`	A perception and PDE based nonlinear transformation for processing spoken words. INTERSPEECH Yingyong Qi, Jack Xin
2000	J	`jnl`	Front Propagation in Heterogeneous Media. SIAM Rev. Jack Xin