Jack Xin

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 114

Top Venues

Publications

Nhat Thanh Tran, Jack Xin, Guofa Zhou
FWin transformer for dengue prediction under climate and ocean influence. CoRR (2024)
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)
Tan Zhang, Zhongjian Wang, Jack Xin, Zhiwen Zhang
A structure-preserving scheme for computing effective diffusivity and anomalous diffusion phenomena of random flows. CoRR (2024)
Aozhong Zhang, Zi Yang, Naigang Wang, Yingyong Qin, Jack Xin, Xin Li, Penghang Yin
COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization. CoRR (2024)
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 (2024)
Elisha Dayag, Kevin Bui, Fredrick Park, Jack Xin
An Image Segmentation Model with Transformed Total Variation. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
Connor Mooney, Zhongjian Wang, Jack Xin, Yifeng Yu
Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates. CoRR (2024)
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)
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 (2023)
Zhongjian Wang, Jack Xin, Zhiwen Zhang
A Novel Stochastic Interacting Particle-Field Algorithm for 3D Parabolic-Parabolic Keller-Segel Chemotaxis System. CoRR (2023)
Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin
Weighted Anisotropic-Isotropic Total Variation for Poisson Denoising. ICIP (2023)
Kevin Bui, Fanghui Xue, Fredrick Park, Yingyong Qi, Jack Xin
A Proximal Algorithm for Network Slimming. LOD (2) (2023)
Nhat Thanh Tran, Jack Xin
Fourier-Mixed Window Attention: Accelerating Informer for Long Sequence Time-Series Forecasting. CoRR (2023)
Kevin Bui, Fanghui Xue, Fredrick Park, Yingyong Qi, Jack Xin
A Proximal Algorithm for Network Slimming. CoRR (2023)
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 (2023)
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 (2023)
Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin
Weighted Anisotropic-Isotropic Total Variation for Poisson Denoising. CoRR (2023)
Xiaoying Dai, Miao Hu, Jack Xin, Aihui Zhou
An Augmented Subspace Based Adaptive Proper Orthogonal Decomposition Method for Time Dependent Partial Differential Equations. CoRR (2023)
Tan Zhang, Zhongjian Wang, Jack Xin, Zhiwen Zhang
A convergent interacting particle method for computing KPP front speeds in random flows. CoRR (2023)
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 (2022)
Carson Hu, Guang Lin, Bao Wang, Meng Yue, Jack Xin
Post-Fault Power Grid Voltage Prediction via 1D-CNN with Spatial Coupling. AI4I (2022)
Zhongjian Wang, Jack Xin, Zhiwen Zhang
A DeepParticle method for learning and generating aggregation patterns in multi-dimensional Keller-Segel chemotaxis systems. CoRR (2022)
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) (2022)
Fanghui Xue, Yingyong Qi, Jack Xin
RARTS: An Efficient First-Order Relaxed Architecture Search Method. IEEE Access 10 (2022)
Zhijian Li, Jack Xin
Channel Pruning in Quantization-aware Training: an Adaptive Projection-gradient Descent-shrinkage-splitting Method. AI4I (2022)
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)
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)
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)
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 (2022)
Zhijian Li, Jack Xin
Channel Pruning In Quantization-aware Training: An Adaptive Projection-gradient Descent-shrinkage-splitting Method. CoRR (2022)
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) (2022)
Justin 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 (2022)
Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin
A Smoothing and Thresholding Image Segmentation Framework with Weighted Anisotropic-Isotropic Total Variation. CoRR (2022)
Yuanchang Sun, Jack Xin
Lorentzian peak sharpening and sparse blind source separation for NMR spectroscopy. Signal Image Video Process. 16 (3) (2022)
Fanghui Xue, Biao Yang, Yingyong Qi, Jack Xin
Searching Intrinsic Dimensions of Vision Transformers. CoRR (2022)
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 (2022)
Ziang Long, Yunling Zheng, Meng Yu, Jack Xin
Enhancing Zero-Shot Many to Many Voice Conversion with Self-Attention VAE. CoRR (2022)
Yu-Yu Liu, Jack Xin
Synchronized Front Propagation and Delayed Flame Quenching in Strain G-equation and Time-Periodic Cellular Flows. CoRR (2021)
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) (2021)
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)
Zhongjian Wang, Jack Xin, Zhiwen Zhang
Convergence analysis of a Lagrangian numerical scheme in computing effective diffusivity of 3D time-dependent flows. CoRR (2021)
Zhijian Li, Bao Wang, Jack Xin
An Integrated Approach to Produce Robust Deep Neural Network Models with High Efficiency. LOD (2021)
Junlong Lyu, Zhongjian Wang, Jack Xin, Zhiwen Zhang
A convergent interacting particle method and computation of KPP front speeds in chaotic flows. CoRR (2021)
Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
Improving Network Slimming With Nonconvex Regularization. IEEE Access 9 (2021)
Yunling Zheng, Zhijian Li, Jack Xin, Guofa Zhou
A Spatial-temporal Graph based Hybrid Infectious Disease Model with Application to COVID-19. ICPRAM (2021)
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 (2021)
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) (2021)
Fanghui Xue, Jack Xin
Network Compression via Cooperative Architecture Search and Distillation. AI4I (2021)
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) (2021)
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 (2020)
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)
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) (2020)
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) (2020)
Thu Dinh, Jack Xin
Penalties. IntelliSys (1) (2020)
Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
Nonconvex Regularization for Network Slimming: Compressing CNNs Even More. ISVC (1) (2020)
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 (2020)
Yuanchang Sun, Jack Xin
Lorentzian Peak Sharpening and Sparse Blind Source Separation for NMR Spectroscopy. CoRR (2020)
Ziang Long, Penghang Yin, Jack Xin
Learning Quantized Neural Nets by Coarse Gradient Method for Non-linear Classification. CoRR (2020)
Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
Nonconvex Regularization for Network Slimming: Compressing CNNs Even More. CoRR (2020)
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 (2020)
Ziang Long, Penghang Yin, Jack Xin
Recurrence of Optimum for Training Weight and Activation Quantized Networks. CoRR (2020)
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)
Zhijian Li, Bao Wang, Jack Xin
An Integrated Approach to Produce Robust Models with High Efficiency. CoRR (2020)
Fanghui Xue, Yingyong Qi, Jack Xin
RARTS: a Relaxed Architecture Search Method. CoRR (2020)
Yunling Zheng, Zhijian Li, Jack Xin, Guofa Zhou
A Spatial-Temporal Graph Based Hybrid Infectious Disease Model with Application to COVID-19. CoRR (2020)
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 (2020)
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 (2020)
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 (2020)
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)
Jiancheng Lyu, Jack Xin, Yifeng Yu
Computing Residual Diffusivity by Adaptive Basis Learning via Super-Resolution Deep Neural Networks. CoRR (2019)
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)
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)
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 (2019)
Yufeng Liu, Jong-Shi Pang, Jack Xin
Preface. Math. Program. 176 (1-2) (2019)
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)
Xiaoying Dai, Xiong Kuang, Jack Xin, Aihui Zhou
Two-Grid based Adaptive Proper Orthogonal Decomposition Algorithm for Time Dependent Partial Differential Equations. CoRR (2019)
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)
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 (2019)
Biao Yang, Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
Channel Pruning for Deep Neural Networks Via a Relaxed Groupwise Splitting Method. AI4I (2019)
Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
Regularized Structured Sparsity Convolutional Neural Networks. CoRR (2019)
Michael Ho, Jack Xin
Sparse Kalman filtering approaches to realized covariance estimation from high frequency financial data. Math. Program. 176 (1-2) (2019)
Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks. CoRR (2019)
Jiancheng Lyu, Jack Xin, Yifeng Yu
Computing Residual Diffusivity by Adaptive Basis Learning via Super-Resolution Deep Neural Networks. ICCSAMA (2019)
Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. CoRR (2019)
Junlong Lyu, Zhongjian Wang, Jack Xin, Zhiwen Zhang
Convergence of stochastic structure-preserving schemes for computing effective diffusivity in random flows. CoRR (2019)
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 (2018)
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) (2018)
Xiaolong Long, Knut Solna, Jack Xin
Based Nonconvex Methods in Constructing Sparse Mean Reverting Portfolios. J. Sci. Comput. 75 (2) (2018)
Zhongjian Wang, Jack Xin, Zhiwen Zhang
Computing Effective Diffusivity of Chaotic and Stochastic Flows Using Structure-Preserving Schemes. SIAM J. Numer. Anal. 56 (4) (2018)
Penghang Yin, Jack Xin, Yingyong Qi
Linear Feature Transform and Enhancement of Classification on Deep Neural Network. J. Sci. Comput. 76 (3) (2018)
Shuai Zhang, Jack Xin
penalty: theory, difference of convex function algorithm, and robust application in compressed sensing. Math. Program. 169 (1) (2018)
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 (2018)
Miju Ahn, Jong-Shi Pang, Jack Xin
Difference-of-Convex Learning: Directional Stationarity, Optimality, and Sparsity. SIAM J. Optim. 27 (3) (2017)
Penghang Yin, Zhe Sun, Wenlong Jin, Jack Xin
-Minimization. CoRR (2017)
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 (2017)
Yuanchang Sun, Wensong Wu, Jack Xin
Computational modeling of spectral data fitting with nonlinear distortions. Signal Image Video Process. 11 (4) (2017)
Penghang Yin, Yuanchang Sun, Jack Xin
A geometric blind source separation method based on facet component analysis. Signal Image Video Process. 10 (1) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jack Xin