A perception and PDE based nonlinear transformation for processing spoken words. - Yingyong Qi; Jack Xin (INTERSPEECH, 2000)

Front Propagation in Heterogeneous Media. - Jack Xin (SIAM Rev., 2000)

Diffusion-Generated Motion by Mean Curvature for Filaments. - Steven J. Ruuth; Barry Merriman; Jack Xin; Stanley J. Osher (J. Nonlinear Sci., 2001)

Reaction-Diffusion Front Speeds in Spatially-Temporally Periodic Shear Flows. - Jim Nolen; Jack Xin (Multiscale Model. Simul., 2003)

A Numerical Study of the Light Bullets Interaction in the (2+1) Sine-Gordon Equation. - Timothy Povich; Jack Xin (J. Nonlinear Sci., 2005)

A Two-Dimensional Nonlinear Nonlocal Feed-Forward Cochlear Model and Time Domain Computation of Multitone Interactions. - Yongsam Kim; Jack Xin (Multiscale Model. Simul., 2005)

Signal processing of acoustic signals in the time domain with an active nonlinear nonlocal cochlear model. - Michael Drew Lamar; Jack Xin; Yingyong Qi (Signal Process., 2006)

A dynamic algorithm for blind separation of convolutive sound mixtures. - Jie Liu 003; Jack Xin; Yingyong Qi (Neurocomputing, 2008)

Finite Element Computations of Kolmogorov-Petrovsky-Piskunov Front Speeds in Random Shear Flows in Cylinders. - Lihua Shen; Jack Xin; Aihui Zhou (Multiscale Model. Simul., 2008)

A nonlocally weighted soft-constrained natural gradient algorithm for blind separation of reverberant speech. - Jack Xin; Meng Yu 003; Yingyong Qi; Hsin-I Yang; Fan-Gang Zeng (WASPAA, 2009)

A Soft-Constrained Dynamic Iterative Method of Blind Source Separation. - Jie Liu 003; Jack Xin; Yingyong Qi (Multiscale Model. Simul., 2009)

Reducing musical noise in blind source separation by time-domain sparse filters and split bregman method. - Wenye Ma; Meng Yu 003; Jack Xin; Stanley J. Osher (INTERSPEECH, 2010)

Convexity and fast speech extraction by split bregman method. - Meng Yu 003; Wenye Ma; Jack Xin; Stanley J. Osher (INTERSPEECH, 2010)

A Critical Quantity for Noise Attenuation in Feedback Systems. - Liming Wang; Jack Xin; Qing Nie (PLoS Comput. Biol., 2010)

A Recursive Sparse Blind Source Separation Method for Nonnegative and Correlated Data in NMR Spectroscopy. - Yuanchang Sun; Jack Xin (CAIP (2), 2011)

Content Adaptive Image Matching by Color-Entropy Segmentation and Inpainting. - Yuanchang Sun; Jack Xin (CAIP (2), 2011)

Modeling Category Identification Using Sparse Instance Representation. - Shunan Zhang; Michael D. Lee 001; Meng Yu 003; Jack Xin (CogSci, 2011)

Underdetermined Sparse Blind Source Separation of Nonnegative and Partially Overlapped Data. - Yuanchang Sun; Jack Xin (SIAM J. Sci. Comput., 2011)

Postprocessing and sparse blind source separation of positive and partially overlapped data. - Yuanchang Sun; C. Ridge; Federico del Rio-Portilla; Athan J. Shaka; Jack Xin (Signal Process., 2011)

A Triple-Microphone Real-Time Speech Enhancement Algorithm Based on Approximate Array Analytical Solutions. - Meng Yu 003; Ryan Ritch; Jack Xin (INTERSPEECH, 2012)

Exploring Off Time Nature for Speech Enhancement. - Meng Yu 003; Jack Xin (INTERSPEECH, 2012)

Hybrid deterministic-stochastic gradient Langevin dynamics for Bayesian learning. - Qi He; Jack Xin (Commun. Inf. Syst., 2012)

Convergence analysis of a randomly perturbed infomax algorithm for blind source separation. - Qi He; Jack Xin (Commun. Inf. Syst., 2012)

A Recursive Sparse Blind Source Separation Method and Its Application to Correlated Data in NMR Spectroscopy of Biofluids. - Yuanchang Sun; Jack Xin (J. Sci. Comput., 2012)

Nonnegative Sparse Blind Source Separation for NMR Spectroscopy by Data Clustering, Model Reduction, and 1 Minimization. - Yuanchang Sun; Jack Xin (SIAM J. Imaging Sci., 2012)

Multi-Channel l1 Regularized Convex Speech Enhancement Model and Fast Computation by the Split Bregman Method. - Meng Yu 003; Wenye Ma; Jack Xin; Stanley J. Osher (IEEE Trans. Speech Audio Process., 2012)

A Convex Model for Nonnegative Matrix Factorization and Dimensionality Reduction on Physical Space. - Ernie Esser; Michael Möller 001; Stanley J. Osher; Guillermo Sapiro; Jack Xin (IEEE Trans. Image Process., 2012)

A randomly perturbed infomax algorithm for blind source separation. - Qi He; Jack Xin (ICASSP, 2013)

Finite Element Computation of KPP Front Speeds in Cellular and Cat's Eye Flows. - Lihua Shen; Jack Xin; Aihui Zhou (J. Sci. Comput., 2013)

A Method for Finding Structured Sparse Solutions to Nonnegative Least Squares Problems with Applications. - Ernie Esser; Yifei Lou; Jack Xin (SIAM J. Imaging Sci., 2013)

Ratio and difference of $l_1$ and $l_2$ norms and sparse representation with coherent dictionaries. - Penghang Yin; Ernie Esser; Jack Xin (Commun. Inf. Syst., 2014)

Minimization of Transformed L_1 Penalty: Theory, Difference of Convex Function Algorithm, and Robust Application in Compressed Sensing. - Shuai Zhang 009; Jack Xin (CoRR, 2014)

Minimization of Transformed L1 Penalty: Closed Form Representation and Iterative Thresholding Algorithms. - Shuai Zhang 009; Jack Xin (CoRR, 2014)

Partially Blind Deblurring of Barcode from Out-of-Focus Blur. - Yifei Lou; Ernie Esser; Hongkai Zhao; Jack Xin (SIAM J. Imaging Sci., 2014)

Asymptotic Growth Rates and Strong Bending of Turbulent Flame Speeds of G-Equation in Steady Two-Dimensional Incompressible Periodic Flows. - Jack Xin; Yifeng Yu (SIAM J. Math. Anal., 2014)

A sparse semi-blind source identification method and its application to Raman spectroscopy for explosives detection. - Yuanchang Sun; Jack Xin (Signal Process., 2014)

Computational Aspects of Constrained L 1-L 2 Minimization for Compressive Sensing. - Yifei Lou; Stanley J. Osher; Jack Xin (MCO (1), 2015)

Transformed Schatten-1 Iterative Thresholding Algorithms for Matrix Rank Minimization and Applications. - Shuai Zhang 009; Penghang Yin; Jack Xin (CoRR, 2015)

Computing Sparse Representation in a Highly Coherent Dictionary Based on Difference of L1 and L2. - Yifei Lou; Penghang Yin; Qi He; Jack Xin (J. Sci. Comput., 2015)

Parallelization of a color-entropy preprocessed Chan-Vese model for face contour detection on multi-core CPU and GPU. - Xiaohua Shi; Fredrick Park; Lina Wang; Jack Xin; Yingyong Qi (Parallel Comput., 2015)

Weighted Elastic Net Penalized Mean-Variance Portfolio Design and Computation. - Michael Ho; Zheng Sun; Jack Xin (SIAM J. Financial Math., 2015)

A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing. - Yifei Lou; Tieyong Zeng; Stanley J. Osher; Jack Xin (SIAM J. Imaging Sci., 2015)

Minimization of ℓ1-2 for Compressed Sensing. - Penghang Yin; Yifei Lou; Qi He; Jack Xin (SIAM J. Sci. Comput., 2015)

Design projects motivated and informed by the needs of severely disabled autistic children. - Steve Warren; Punit Prakash; David E. Thompson 001; Bala Natarajan; Charles Carlson 001; Kim R. Fowler; Ed Brokesh; Jack Xin; Wayne Piersel; Janine Kesterson; Steve Stoffregen (EMBC, 2016)

A weighted difference of anisotropic and isotropic total variation for relaxed Mumford-Shah image segmentation. - Fredrick Park; Yifei Lou; Jack Xin (ICIP, 2016)

Iterative ℓ1 minimization for non-convex compressed sensing. - Penghang Yin; Jack Xin (CoRR, 2016)

Training Ternary Neural Networks with Exact Proximal Operator. - Penghang Yin; Shuai Zhang 009; Jack Xin; Yingyong Qi (CoRR, 2016)

Point Source Super-resolution Via Non-convex L1 Based Methods. - Yifei Lou; Penghang Yin; Jack Xin (J. Sci. Comput., 2016)

Ballistic Orbits and Front Speed Enhancement for ABC Flows. - Tyler McMillen; Jack Xin; Yifeng Yu; Andrej Zlatos (SIAM J. Appl. Dyn. Syst., 2016)

Periodic Orbits of the ABC Flow with A=B=C=1. - Jack Xin; Yifeng Yu; Andrej Zlatos (SIAM J. Math. Anal., 2016)

A geometric blind source separation method based on facet component analysis. - Penghang Yin; Yuanchang Sun; Jack Xin (Signal Image Video Process., 2016)

Link Flow Correction For Inconsistent Traffic Flow Data Via 𝓁1-Minimization. - Penghang Yin; Zhe Sun; Wenlong Jin; Jack Xin (CoRR, 2017)

Deep Learning for Real-Time Crime Forecasting and its Ternarization. - Bao Wang 001; Penghang Yin; Andrea L. Bertozzi; P. Jeffrey Brantingham; Stanley J. Osher; Jack Xin (CoRR, 2017)

Difference-of-Convex Learning: Directional Stationarity, Optimality, and Sparsity. - Miju Ahn; Jong-Shi Pang; Jack Xin (SIAM J. Optim., 2017)

Computational modeling of spectral data fitting with nonlinear distortions. - Yuanchang Sun; Wensong Wu; Jack Xin (Signal Image Video Process., 2017)

Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks. - Penghang Yin; Shuai Zhang 009; Jiancheng Lyu; Stanley J. Osher; Yingyong Qi; Jack Xin (CoRR, 2018)

Three l1 Based Nonconvex Methods in Constructing Sparse Mean Reverting Portfolios. - Xiaolong Long; Knut Solna; Jack Xin (J. Sci. Comput., 2018)

Linear Feature Transform and Enhancement of Classification on Deep Neural Network. - Penghang Yin; Jack Xin; Yingyong Qi (J. Sci. Comput., 2018)

Minimization of transformed L1 penalty: theory, difference of convex function algorithm, and robust application in compressed sensing. - Shuai Zhang 009; Jack Xin (Math. Program., 2018)

BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights. - Penghang Yin; Shuai Zhang 009; Jiancheng Lyu; Stanley J. Osher; Yingyong Qi; Jack Xin (SIAM J. Imaging Sci., 2018)

Computing Effective Diffusivity of Chaotic and Stochastic Flows Using Structure-Preserving Schemes. - Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (SIAM J. Numer. Anal., 2018)

Short Paper: A Multistage Backward Differentiable Method for Constructing Light Convolutional Neural Networks. - Fanghui Xue; Jack Xin; Jiancheng Lyu; Shuai Zhang 009; Yingyong Qi (AI4I, 2019)

Channel Pruning for Deep Neural Networks Via a Relaxed Groupwise Splitting Method. - Biao Yang; Jiancheng Lyu; Shuai Zhang 009; Yingyong Qi; Jack Xin (AI4I, 2019)

Computing Residual Diffusivity by Adaptive Basis Learning via Super-Resolution Deep Neural Networks. - Jiancheng Lyu; Jack Xin; Yifeng Yu (ICCSAMA, 2019)

Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. - Penghang Yin; Jiancheng Lyu; Shuai Zhang 009; Stanley J. Osher; Yingyong Qi; Jack Xin (ICLR (Poster), 2019)

A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting. - Zhijian Li; Xiyang Luo; Bao Wang 001; Andrea L. Bertozzi; Jack Xin (WCGO, 2019)

Learning Sparse Neural Networks via ell _0 and T ell _1 by a Relaxed Variable Splitting Method with Application to Multi-scale Curve Classification. - Fanghui Xue; Jack Xin (WCGO, 2019)

Learning Sparse Neural Networks via $ ell_0$ and T$ ell_1$ by a Relaxed Variable Splitting Method with Application to Multi-scale Curve Classification. - Fanghui Xue; Jack Xin (CoRR, 2019)

Convergence of stochastic structure-preserving schemes for computing effective diffusivity in random flows. - Junlong Lyu; Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (CoRR, 2019)

Two-Grid based Adaptive Proper Orthogonal Decomposition Algorithm for Time Dependent Partial Differential Equations. - Xiaoying Dai; Xiong Kuang; Jack Xin; Aihui Zhou (CoRR, 2019)

𝓁0 Regularized Structured Sparsity Convolutional Neural Networks. - Kevin Bui; Fredrick Park; Shuai Zhang 009; Yingyong Qi; Jack Xin (CoRR, 2019)

Sparse Kalman filtering approaches to realized covariance estimation from high frequency financial data. - Michael Ho; Jack Xin (Math. Program., 2019)

Preface. - Yufeng Liu; Jong-Shi Pang; Jack Xin (Math. Program., 2019)

A Recurrent Neural Network and Differential Equation based Spatiotemporal Infectious Disease Model with Application to COVID-19. - Zhijian Li; Yunling Zheng; Jack Xin; Guofa Zhou (KDIR, 2020)

Convergence of a Relaxed Variable Splitting Method for Learning Sparse Neural Networks via ℓ 1, ℓ 0, and Transformed-ℓ 1 Penalties. - Thu Dinh; Jack Xin (IntelliSys (1), 2020)

Nonconvex Regularization for Network Slimming: Compressing CNNs Even More. - Kevin Bui; Fredrick Park; Shuai Zhang 009; Yingyong Qi; Jack Xin (ISVC (1), 2020)

AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks. - Jiancheng Lyu; Shuai Zhang 009; Yingyong Qi; Jack Xin (KDD, 2020)

Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets. - Thu Dinh; Bao Wang 001; Andrea L. Bertozzi; Stanley J. Osher; Jack Xin (LOD (2), 2020)

Global Convergence and Geometric Characterization of Slow to Fast Weight Evolution in Neural Network Training for Classifying Linearly Non-Separable Data. - Ziang Long; Penghang Yin; Jack Xin (CoRR, 2020)

RARTS: a Relaxed Architecture Search Method. - Fanghui Xue; Yingyong Qi; Jack Xin (CoRR, 2020)

An Integrated Approach to Produce Robust Models with High Efficiency. - Zhijian Li; Bao Wang 001; Jack Xin (CoRR, 2020)

Learning Quantized Neural Nets by Coarse Gradient Method for Non-linear Classification. - Ziang Long; Penghang Yin; Jack Xin (CoRR, 2020)

Recurrence of Optimum for Training Weight and Activation Quantized Networks. - Ziang Long; Penghang Yin; Jack Xin (CoRR, 2020)

Structured Sparsity of Convolutional Neural Networks via Nonconvex Sparse Group Regularization. - Kevin Bui; Fredrick Park; Shuai Zhang 009; Yingyong Qi; Jack Xin (Frontiers Appl. Math. Stat., 2020)

Convergence of a Relaxed Variable Splitting Coarse Gradient Descent Method for Learning Sparse Weight Binarized Activation Neural Network. - Thu Dinh; Jack Xin (Frontiers Appl. Math. Stat., 2020)

Two-Grid Based Adaptive Proper Orthogonal Decomposition Method for Time Dependent Partial Differential Equations. - Xiaoying Dai; Xiong Kuang; Jack Xin; Aihui Zhou (J. Sci. Comput., 2020)

Convergence Analysis of Stochastic Structure-Preserving Schemes for Computing Effective Diffusivity in Random Flows. - Junlong Lyu; Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (SIAM J. Numer. Anal., 2020)

Network Compression via Cooperative Architecture Search and Distillation. - Fanghui Xue; Jack Xin (AI4I, 2021)

A Spatial-temporal Graph based Hybrid Infectious Disease Model with Application to COVID-19. - Yunling Zheng; Zhijian Li; Jack Xin; Guofa Zhou (ICPRAM, 2021)

Improving Efficient Semantic Segmentation Networks by Enhancing Multi-scale Feature Representation via Resolution Path Based Knowledge Distillation and Pixel Shuffle. - Biao Yang; Fanghui Xue; Yingyong Qi; Jack Xin (ISVC (2), 2021)

An Integrated Approach to Produce Robust Deep Neural Network Models with High Efficiency. - Zhijian Li; Bao Wang 001; Jack Xin (LOD, 2021)

Improving Network Slimming With Nonconvex Regularization. - Kevin Bui; Fredrick Park; Shuai Zhang 009; Yingyong Qi; Jack Xin (IEEE Access, 2021)

Convergence analysis of a Lagrangian numerical scheme in computing effective diffusivity of 3D time-dependent flows. - Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (CoRR, 2021)

Synchronized Front Propagation and Delayed Flame Quenching in Strain G-equation and Time-Periodic Cellular Flows. - Yu-Yu Liu; Jack Xin (CoRR, 2021)

Sharp Error Estimates on a Stochastic Structure-Preserving Scheme in Computing Effective Diffusivity of 3D Chaotic Flows. - Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (Multiscale Model. Simul., 2021)

A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image Segmentation. - Kevin Bui; Fredrick Park; Yifei Lou; Jack Xin (SIAM J. Imaging Sci., 2021)

Error Estimates for a POD Method for Solving Viscous G-Equations in Incompressible Cellular Flows. - Haotian Gu; Jack Xin; Zhiwen Zhang 001 (SIAM J. Sci. Comput., 2021)

Post-Fault Power Grid Voltage Prediction via 1D-CNN with Spatial Coupling. - Carson Hu; Guang Lin 001; Bao Wang 001; Meng Yue; Jack Xin (AI4I, 2022)

Channel Pruning in Quantization-aware Training: an Adaptive Projection-gradient Descent-shrinkage-splitting Method. - Zhijian Li; Jack Xin (AI4I, 2022)

Enhancing Zero-Shot Many to Many Voice Conversion via Self-Attention VAE with Structurally Regularized Layers. - Ziang Long; Yunling Zheng; Meng Yu 003; Jack Xin (AI4I, 2022)

Glassoformer: A Query-Sparse Transformer for Post-Fault Power Grid Voltage Prediction. - Yunling Zheng; Carson Hu; Guang Lin 001; Meng Yue; Bao Wang 001; Jack Xin (ICASSP, 2022)

An Integrated Recurrent Neural Network and Regression Model with Spatial and Climatic Couplings for Vector-borne Disease Dynamics. - Zhijian Li; Jack Xin; Guofa Zhou (ICPRAM, 2022)

RARTS: An Efficient First-Order Relaxed Architecture Search Method. - Fanghui Xue; Yingyong Qi; Jack Xin (IEEE Access, 2022)

A Smoothing and Thresholding Image Segmentation Framework with Weighted Anisotropic-Isotropic Total Variation. - Kevin Bui; Yifei Lou; Fredrick Park; Jack Xin (CoRR, 2022)

Enhancing Zero-Shot Many to Many Voice Conversion with Self-Attention VAE. - Ziang Long; Yunling Zheng; Meng Yu 003; Jack Xin (CoRR, 2022)

Searching Intrinsic Dimensions of Vision Transformers. - Fanghui Xue; Biao Yang; Yingyong Qi; Jack Xin (CoRR, 2022)

Proximal Implicit ODE Solvers for Accelerating Learning Neural ODEs. - Justin M. Baker; Hedi Xia; Yiwei Wang; Elena Cherkaev; Akil Narayan 001; Long Chen; Jack Xin; Andrea L. Bertozzi; Stanley J. Osher; Bao Wang 001 (CoRR, 2022)

A DeepParticle method for learning and generating aggregation patterns in multi-dimensional Keller-Segel chemotaxis systems. - Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (CoRR, 2022)

DeepParticle: Learning invariant measure by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method. - Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (J. Comput. Phys., 2022)

A Semi-Lagrangian Computation of Front Speeds of G-equation in ABC and Kolmogorov Flows with Estimation via Ballistic Orbits. - Chou Kao; Yu-Yu Liu; Jack Xin (Multiscale Model. Simul., 2022)

A Convergent Interacting Particle Method and Computation of KPP Front Speeds in Chaotic Flows. - Junlong Lyu; Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (SIAM J. Numer. Anal., 2022)

Lorentzian peak sharpening and sparse blind source separation for NMR spectroscopy. - Yuanchang Sun; Jack Xin (Signal Image Video Process., 2022)

Weighted Anisotropic-Isotropic Total Variation for Poisson Denoising. - Kevin Bui; Yifei Lou; Fredrick Park; Jack Xin (ICIP, 2023)

A Proximal Algorithm for Network Slimming. - Kevin Bui; Fanghui Xue; Fredrick Park; Yingyong Qi; Jack Xin (LOD (2), 2023)

Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data. - Zhijian Li; Biao Yang; Penghang Yin; Yingyong Qi; Jack Xin (IEEE Access, 2023)

Efficient Image Segmentation Framework with Difference of Anisotropic and Isotropic Total Variation for Blur and Poisson Noise Removal. - Kevin Bui; Yifei Lou; Fredrick Park; Jack Xin (CoRR, 2023)

Fourier-Mixed Window Attention: Accelerating Informer for Long Sequence Time-Series Forecasting. - Nhat Thanh Tran; Jack Xin (CoRR, 2023)

Difference of anisotropic and isotropic TV for segmentation under blur and Poisson noise. - Kevin Bui; Yifei Lou; Fredrick Park; Jack Xin (Frontiers Comput. Sci., 2023)

An Image Segmentation Model with Transformed Total Variation. - Elisha Dayag; Kevin Bui; Fredrick Park; Jack Xin (EUSIPCO, 2024)

Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks. - Shih-Hsin Wang; Yung-Chang Hsu; Justin M. Baker; Andrea L. Bertozzi; Jack Xin; Bao Wang 001 (ICLR, 2024)

AFIDAF: Alternating Fourier and Image Domain Adaptive Filters as an Efficient Alternative to Attention in ViTs. - Yunling Zheng; Zeyi Xu; Fanghui Xue; Biao Yang; Jiancheng Lyu; Shuai Zhang 009; Yingyong Qi; Jack Xin (ISVC (1), 2024)

FWin Transformer for Dengue Prediction Under Climate and Ocean Influence. - Nhat Thanh Tran; Jack Xin; Guofa Zhou (LOD (2), 2024)

COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization. - Aozhong Zhang; Zi Yang; Naigang Wang; Yingyong Qin; Jack Xin; Xin Li 005; Penghang Yin (CoRR, 2024)

Computing large deviation rate functions of entropy production for diffusion processes in the vanishing-noise limit and high dimensions by an interacting particle method. - Zhizhang Wu; Renaud Raquépas; Jack Xin; Zhiwen Zhang 001 (CoRR, 2024)

A structure-preserving scheme for computing effective diffusivity and anomalous diffusion phenomena of random flows. - Tan Zhang; Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (CoRR, 2024)

A Stochastic Interacting Particle-Field Algorithm for a Haptotaxis Advection-Diffusion System Modeling Cancer Cell Invasion. - Boyi Hu; Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (CoRR, 2024)

An augmented subspace based adaptive proper orthogonal decomposition method for time dependent partial differential equations. - Xiaoying Dai; Miao Hu; Jack Xin; Aihui Zhou (J. Comput. Phys., 2024)

Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates. - Connor Mooney; Zhongjian Wang; Jack Xin; Yifeng Yu (ICLR, 2025)

COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization. - Aozhong Zhang; Zi Yang; Naigang Wang; Yingyong Qi; Jack Xin; Xin Li 005; Penghang Yin (IEEE Access, 2025)

A Convergent Interacting Particle Method for Computing KPP Front Speeds in Random Flows. - Tan Zhang; Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (SIAM/ASA J. Uncertain. Quantification, 2025)

A Novel Stochastic Interacting Particle-Field Algorithm for 3D Parabolic-Parabolic Keller-Segel Chemotaxis System. - Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (J. Sci. Comput., 2025)

Convergence Analysis of a Stochastic Interacting Particle-Field Algorithm for 3D Parabolic-Parabolic Keller-Segel Systems. - Boyi Hu; Zhongjian Wang; Jack Xin; Zhiwen Zhang (CoRR, 2025)

Beyond Discreteness: Finite-Sample Analysis of Straight-Through Estimator for Quantization. - Halyun Jeong; Jack Xin; Penghang Yin (CoRR, 2025)

SEMA: a Scalable and Efficient Mamba like Attention via Token Localization and Averaging. - Nhat Thanh Tran; Fanghui Xue; Shuai Zhang 009; Jiancheng Lyu; Yunling Zheng; Yingyong Qi; Jack Xin (CoRR, 2025)

Filter then Attend: Improving attention-based Time Series Forecasting with Spectral Filtering. - Elisha Dayag; Nhat Thanh Van Tran; Jack Xin (CoRR, 2025)

CrossLag: Predicting Major Dengue Outbreaks with a Domain Knowledge Informed Transformer. - Ashwin Prabu; Nhat Thanh Tran; Guofa Zhou; Jack Xin (CoRR, 2025)

An Efficient Particle-Field Algorithm with Neural Interpolation based on a Parabolic-Hyperbolic Chemotaxis System in 3D. - Jongwon David Kim; Jack Xin (CoRR, 2025)