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Jack Xin

  1. Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
    2019/03/13 by Penghang Yin, Jiancheng Lyu, Yin, Penghang +9 · 38 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Machine Learning and ELM
  2. A Method for Finding Structured Sparse Solutions to Non-negative Least Squares Problems with Applications
    2013/01/03 by Ernie Esser, Yifei Lou, Esser, Ernie +3 · 3 citations
    Engineering · #Applications (stat.AP) #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #Photoacoustic and Ultrasonic Imaging #Remote-Sensing Image Classification #Sparse and Compressive Sensing Techniques
  3. Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks
    2018/08/15 by Penghang Yin, Yin, Penghang, Shuai Zhang +9 · 4 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  4. Computing effective diffusivity of chaotic and stochastic flows using structure preserving schemes
    2017/11/26 by Zhongjian Wang, Jack Xin, Wang, Zhongjian +3 · 2 citations
    Computer Science · Engineering · Mathematics · #35B27 #65M70 #65T40 #76R99 #Advanced Mathematical Modeling in Engineering #Advanced Numerical Methods in Computational Mathematics #FOS: Mathematics #Numerical Analysis (math.NA) #Numerical methods for differential equations
  5. Bifurcation of homogenization and nonhomogenization of the curvature G-equation with shear flows
    2023/03/28 by Hiroyoshi Mitake, Mitake, Hiroyoshi, Connor Mooney +7 · 2 citations
    Computer Science · Mathematics · #35B10 #35B27 #35J93 #Advanced Mathematical Modeling in Engineering #Advanced Mathematical Physics Problems #Analysis of PDEs (math.AP) #FOS: Mathematics #Geometric Analysis and Curvature Flows
  6. A Stochastic Interacting Particle-Field Algorithm for a Haptotaxis Advection-Diffusion System Modeling Cancer Cell Invasion
    2024/07/08 by Boyi Hu, Hu, Boyi, Zhongjian Wang +5 · 5 citations
    Environmental Science · Materials Science · Mathematics · #Coagulation and Flocculation Studies #FOS: Mathematics #Mathematical Biology Tumor Growth #Nanoparticle-Based Drug Delivery #Numerical Analysis (math.NA)
  7. PhaseLiftOff: an Accurate and Stable Phase Retrieval Method Based on Difference of Trace and Frobenius Norms
    2014/06/26 by Penghang Yin, Yin, Penghang, Jack Xin +1 · 1 citation
    Computer Science · Materials Science · Physics and Astronomy · #Advanced X-ray Imaging Techniques #Electron and X-Ray Spectroscopy Techniques #FOS: Mathematics #Optical measurement and interference techniques #Optimization and Control (math.OC)
  8. Deep Learning for Real-Time Crime Forecasting and its Ternarization
    2017/11/23 by Bao Wang, Wang, Bao, Penghang Yin +9 · 2 citations
    Computer Science · #62-07 #Anomaly Detection Techniques and Applications #Data Visualization and Analytics #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Time Series Analysis and Forecasting
  9. Minimization of Transformed L1 Penalty: Closed Form Representation and Iterative Thresholding Algorithms
    2014/12/17 by Shuai Zhang, Zhang, Shuai, Jack Xin +1 · 1 citation
    Engineering · #Sparse and Compressive Sensing Techniques #Electrical and Bioimpedance Tomography #Microwave Imaging and Scattering Analysis
  10. A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting
    2019/02/13 by Zhijian Li, Xiyang Luo, Li, Zhijian +7 · 1 citation
    Computer Science · Health Professions · Medicine · #Artificial Intelligence in Healthcare #COVID-19 diagnosis using AI #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Optimization and Control (math.OC)
  11. Fourier-mixed window attention for efficient and robust long sequence time-series forecasting
    2023/07/02 by Nhat Thanh Tran, Jack Xin, Tran, Nhat Thanh +1 · 2 citations
    Computer Science · Mathematics · Decision Sciences · #Time Series Analysis and Forecasting #Statistical and numerical algorithms #Stock Market Forecasting Methods
  12. A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image Segmentation
    2020/05/09 by Kevin Bui, Bui, Kevin, Fredrick Park +5 · 1 citation
    Computer Science · Engineering · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Numerical methods in inverse problems #Sparse and Compressive Sensing Techniques
  13. Learning Quantized Neural Nets by Coarse Gradient Method for Non-linear Classification
    2020/11/23 by Ziang Long, Penghang Yin, Long, Ziang +3 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Machine Learning and ELM
  14. Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data
    2023/02/10 by Zhijian Li, Li, Zhijian, Yang Biao +7 · 1 citation
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Image Processing Techniques and Applications #Information Theory (cs.IT) #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
  15. Lagrangian, Game Theoretic and PDE Methods for Averaging G-equations in Turbulent Combustion: Existence and Beyond
    2024/01/26 by Jack Xin, Yifeng Yu, Xin, Jack +3 · 2 citations
    Engineering · Environmental Science · Mathematics · #35B27 #35B40 #35F21 #35Q-XX #Analysis of PDEs (math.AP) #Atmospheric and Environmental Gas Dynamics #Computational Fluid Dynamics and Aerodynamics #FOS: Mathematics #Numerical methods for differential equations
  16. Does Yakhot's growth law for turbulent burning velocity hold?
    2024/12/24 by Wenjia Jing, Jack Xin, Jing, Wenjia +3 · 1 citation
    Environmental Science · #Atmospheric and Environmental Gas Dynamics
  17. VideoSEMA: a scalable and efficient Mamba-like attention for video understanding
    2026/07/16 by Nhat Thanh Tran, Fanghui Xue, Shuai Zhang +4
    #cs.CV #cs.AI
  18. Turbulent Flame Speed Can Increase under Curvature Smoothing
    2026/07/28 by Hung V. Tran, Jack Xin, Yifeng Yu
    #math.AP #physics.flu-dyn