Jack Xin
Orcid: 0000-0002-6438-8476
According to our database1,
Jack Xin
authored at least 124 papers
between 2000 and 2024.
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Bibliography
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.
CoRR, 2024
2023
Difference of anisotropic and isotropic TV for segmentation under blur and Poisson noise.
Frontiers Comput. Sci., 2023
A Novel Stochastic Interacting Particle-Field Algorithm for 3D Parabolic-Parabolic Keller-Segel Chemotaxis System.
CoRR, 2023
A convergent interacting particle method for computing KPP front speeds in random flows.
CoRR, 2023
Fourier-Mixed Window Attention: Accelerating Informer for Long Sequence Time-Series Forecasting.
CoRR, 2023
An Augmented Subspace Based Adaptive Proper Orthogonal Decomposition Method for Time Dependent Partial Differential Equations.
CoRR, 2023
Efficient Image Segmentation Framework with Difference of Anisotropic and Isotropic Total Variation for Blur and Poisson Noise Removal.
CoRR, 2023
Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data.
IEEE Access, 2023
Proceedings of the Machine Learning, Optimization, and Data Science, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
2022
Signal Image Video Process., 2022
A Convergent Interacting Particle Method and Computation of KPP Front Speeds in Chaotic Flows.
SIAM J. Numer. Anal., 2022
A Semi-Lagrangian Computation of Front Speeds of G-equation in ABC and Kolmogorov Flows with Estimation via Ballistic Orbits.
Multiscale Model. Simul., 2022
DeepParticle: Learning invariant measure by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method.
J. Comput. Phys., 2022
A DeepParticle method for learning and generating aggregation patterns in multi-dimensional Keller-Segel chemotaxis systems.
CoRR, 2022
CoRR, 2022
A Smoothing and Thresholding Image Segmentation Framework with Weighted Anisotropic-Isotropic Total Variation.
CoRR, 2022
IEEE Access, 2022
An Integrated Recurrent Neural Network and Regression Model with Spatial and Climatic Couplings for Vector-borne Disease Dynamics.
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022
Glassoformer: A Query-Sparse Transformer for Post-Fault Power Grid Voltage Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2022
Enhancing Zero-Shot Many to Many Voice Conversion via Self-Attention VAE with Structurally Regularized Layers.
Proceedings of the 5th International Conference on Artificial Intelligence for Industries, 2022
Channel Pruning in Quantization-aware Training: an Adaptive Projection-gradient Descent-shrinkage-splitting Method.
Proceedings of the 5th International Conference on Artificial Intelligence for Industries, 2022
Proceedings of the 5th International Conference on Artificial Intelligence for Industries, 2022
2021
Error Estimates for a POD Method for Solving Viscous G-Equations in Incompressible Cellular Flows.
SIAM J. Sci. Comput., 2021
A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image Segmentation.
SIAM J. Imaging Sci., 2021
Sharp Error Estimates on a Stochastic Structure-Preserving Scheme in Computing Effective Diffusivity of 3D Chaotic Flows.
Multiscale Model. Simul., 2021
Synchronized Front Propagation and Delayed Flame Quenching in Strain G-equation and Time-Periodic Cellular Flows.
CoRR, 2021
Convergence analysis of a Lagrangian numerical scheme in computing effective diffusivity of 3D time-dependent flows.
CoRR, 2021
An Integrated Approach to Produce Robust Deep Neural Network Models with High Efficiency.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021
Improving Efficient Semantic Segmentation Networks by Enhancing Multi-scale Feature Representation via Resolution Path Based Knowledge Distillation and Pixel Shuffle.
Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021
A Spatial-temporal Graph based Hybrid Infectious Disease Model with Application to COVID-19.
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021
Proceedings of the 4th International Conference on Artificial Intelligence for Industries, 2021
2020
Convergence Analysis of Stochastic Structure-Preserving Schemes for Computing Effective Diffusivity in Random Flows.
SIAM J. Numer. Anal., 2020
Two-Grid Based Adaptive Proper Orthogonal Decomposition Method for Time Dependent Partial Differential Equations.
J. Sci. Comput., 2020
Convergence of a Relaxed Variable Splitting Coarse Gradient Descent Method for Learning Sparse Weight Binarized Activation Neural Network.
Frontiers Appl. Math. Stat., 2020
Structured Sparsity of Convolutional Neural Networks via Nonconvex Sparse Group Regularization.
Frontiers Appl. Math. Stat., 2020
CoRR, 2020
Learning Quantized Neural Nets by Coarse Gradient Method for Non-linear Classification.
CoRR, 2020
Global Convergence and Geometric Characterization of Slow to Fast Weight Evolution in Neural Network Training for Classifying Linearly Non-Separable Data.
CoRR, 2020
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020
Convergence of a Relaxed Variable Splitting Method for Learning Sparse Neural Networks via ℓ <sub>1, </sub> ℓ <sub>0</sub>, and Transformed-ℓ <sub>1</sub> Penalties.
Proceedings of the Intelligent Systems and Applications, 2020
A Recurrent Neural Network and Differential Equation based Spatiotemporal Infectious Disease Model with Application to COVID-19.
Proceedings of the 12th International Joint Conference on Knowledge Discovery, 2020
2019
Sparse Kalman filtering approaches to realized covariance estimation from high frequency financial data.
Math. Program., 2019
CoRR, 2019
Two-Grid based Adaptive Proper Orthogonal Decomposition Algorithm for Time Dependent Partial Differential Equations.
CoRR, 2019
Convergence of stochastic structure-preserving schemes for computing effective diffusivity in random flows.
CoRR, 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.
CoRR, 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.
Proceedings of the Optimization of Complex Systems: Theory, 2019
A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting.
Proceedings of the Optimization of Complex Systems: Theory, 2019
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets.
Proceedings of the 7th International Conference on Learning Representations, 2019
Computing Residual Diffusivity by Adaptive Basis Learning via Super-Resolution Deep Neural Networks.
Proceedings of the Advanced Computational Methods for Knowledge Engineering, 2019
Proceedings of the Second International Conference on Artificial Intelligence for Industries, 2019
Short Paper: A Multistage Backward Differentiable Method for Constructing Light Convolutional Neural Networks.
Proceedings of the Second International Conference on Artificial Intelligence for Industries, 2019
2018
Computing Effective Diffusivity of Chaotic and Stochastic Flows Using Structure-Preserving Schemes.
SIAM J. Numer. Anal., 2018
BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights.
SIAM J. Imaging Sci., 2018
Minimization of transformed L<sub>1</sub> penalty: theory, difference of convex function algorithm, and robust application in compressed sensing.
Math. Program., 2018
J. Sci. Comput., 2018
Three l<sub>1</sub> Based Nonconvex Methods in Constructing Sparse Mean Reverting Portfolios.
J. Sci. Comput., 2018
CoRR, 2018
2017
Signal Image Video Process., 2017
SIAM J. Optim., 2017
Link Flow Correction For Inconsistent Traffic Flow Data Via 𝓁<sub>1</sub>-Minimization.
CoRR, 2017
2016
Signal Image Video Process., 2016
SIAM J. Appl. Dyn. Syst., 2016
J. Sci. Comput., 2016
A weighted difference of anisotropic and isotropic total variation for relaxed Mumford-Shah image segmentation.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Design projects motivated and informed by the needs of severely disabled autistic children.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing.
SIAM J. Imaging Sci., 2015
SIAM J. Financial Math., 2015
Parallelization of a color-entropy preprocessed Chan-Vese model for face contour detection on multi-core CPU and GPU.
Parallel Comput., 2015
Computing Sparse Representation in a Highly Coherent Dictionary Based on Difference of L<sub>1</sub> and L<sub>2</sub>.
J. Sci. Comput., 2015
Transformed Schatten-1 Iterative Thresholding Algorithms for Matrix Rank Minimization and Applications.
CoRR, 2015
Proceedings of the Modelling, Computation and Optimization in Information Systems and Management Sciences - Proceedings of the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, 2015
2014
A sparse semi-blind source identification method and its application to Raman spectroscopy for explosives detection.
Signal Process., 2014
Asymptotic Growth Rates and Strong Bending of Turbulent Flame Speeds of G-Equation in Steady Two-Dimensional Incompressible Periodic Flows.
SIAM J. Math. Anal., 2014
SIAM J. Imaging Sci., 2014
Minimization of Transformed L<sub>1</sub> Penalty: Closed Form Representation and Iterative Thresholding Algorithms.
CoRR, 2014
Minimization of Transformed L_1 Penalty: Theory, Difference of Convex Function Algorithm, and Robust Application in Compressed Sensing.
CoRR, 2014
Ratio and difference of $l_1$ and $l_2$ norms and sparse representation with coherent dictionaries.
Commun. Inf. Syst., 2014
2013
A Method for Finding Structured Sparse Solutions to Nonnegative Least Squares Problems with Applications.
SIAM J. Imaging Sci., 2013
J. Sci. Comput., 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
A Convex Model for Nonnegative Matrix Factorization and Dimensionality Reduction on Physical Space.
IEEE Trans. Image Process., 2012
Multi-Channel l<sub>1</sub> Regularized Convex Speech Enhancement Model and Fast Computation by the Split Bregman Method.
IEEE Trans. Speech Audio Process., 2012
Nonnegative Sparse Blind Source Separation for NMR Spectroscopy by Data Clustering, Model Reduction, and <sub>1</sub> Minimization.
SIAM J. Imaging Sci., 2012
A Recursive Sparse Blind Source Separation Method and Its Application to Correlated Data in NMR Spectroscopy of Biofluids.
J. Sci. Comput., 2012
Convergence analysis of a randomly perturbed infomax algorithm for blind source separation.
Commun. Inf. Syst., 2012
Commun. Inf. Syst., 2012
Proceedings of the INTERSPEECH 2012, 2012
A Triple-Microphone Real-Time Speech Enhancement Algorithm Based on Approximate Array Analytical Solutions.
Proceedings of the INTERSPEECH 2012, 2012
2011
Postprocessing and sparse blind source separation of positive and partially overlapped data.
Signal Process., 2011
Underdetermined Sparse Blind Source Separation of Nonnegative and Partially Overlapped Data.
SIAM J. Sci. Comput., 2011
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011
Proceedings of the Computer Analysis of Images and Patterns, 2011
A Recursive Sparse Blind Source Separation Method for Nonnegative and Correlated Data in NMR Spectroscopy.
Proceedings of the Computer Analysis of Images and Patterns, 2011
2010
PLoS Comput. Biol., 2010
Proceedings of the INTERSPEECH 2010, 2010
Reducing musical noise in blind source separation by time-domain sparse filters and split bregman method.
Proceedings of the INTERSPEECH 2010, 2010
2009
Multiscale Model. Simul., 2009
A nonlocally weighted soft-constrained natural gradient algorithm for blind separation of reverberant speech.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2009
2008
Finite Element Computations of Kolmogorov-Petrovsky-Piskunov Front Speeds in Random Shear Flows in Cylinders.
Multiscale Model. Simul., 2008
Neurocomputing, 2008
2006
Signal processing of acoustic signals in the time domain with an active nonlinear nonlocal cochlear model.
Signal Process., 2006
2005
A Two-Dimensional Nonlinear Nonlocal Feed-Forward Cochlear Model and Time Domain Computation of Multitone Interactions.
Multiscale Model. Simul., 2005
A Numerical Study of the Light Bullets Interaction in the (2+1) Sine-Gordon Equation.
J. Nonlinear Sci., 2005
2003
Multiscale Model. Simul., 2003
2001
2000
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000