Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Bin Gu

Bin Gu

Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients


Jul 21, 2021
Huimin Wu, Zhengmian Hu, Bin Gu

Figure 1 for Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients
Figure 2 for Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients
Figure 3 for Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients
Figure 4 for Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients

  Access Paper or Ask Questions

Topic Classification on Spoken Documents Using Deep Acoustic and Linguistic Features


Jun 16, 2021
Tan Liu, Wu Guo, Bin Gu

Figure 1 for Topic Classification on Spoken Documents Using Deep Acoustic and Linguistic Features
Figure 2 for Topic Classification on Spoken Documents Using Deep Acoustic and Linguistic Features
Figure 3 for Topic Classification on Spoken Documents Using Deep Acoustic and Linguistic Features
Figure 4 for Topic Classification on Spoken Documents Using Deep Acoustic and Linguistic Features

  Access Paper or Ask Questions

Learning Sampling Policy for Faster Derivative Free Optimization


Apr 09, 2021
Zhou Zhai, Bin Gu, Heng Huang

Figure 1 for Learning Sampling Policy for Faster Derivative Free Optimization
Figure 2 for Learning Sampling Policy for Faster Derivative Free Optimization
Figure 3 for Learning Sampling Policy for Faster Derivative Free Optimization
Figure 4 for Learning Sampling Policy for Faster Derivative Free Optimization
* arXiv admin note: text overlap with arXiv:1910.09464 by other authors 
  Access Paper or Ask Questions

Bidirectional Multiscale Feature Aggregation for Speaker Verification


Apr 01, 2021
Jiajun Qi, Wu Guo, Bin Gu

Figure 1 for Bidirectional Multiscale Feature Aggregation for Speaker Verification
Figure 2 for Bidirectional Multiscale Feature Aggregation for Speaker Verification
Figure 3 for Bidirectional Multiscale Feature Aggregation for Speaker Verification
Figure 4 for Bidirectional Multiscale Feature Aggregation for Speaker Verification

  Access Paper or Ask Questions

Improved Meta-learning training for Speaker Verification


Mar 29, 2021
Yafeng Chen, Wu Guo, Bin Gu

Figure 1 for Improved Meta-learning training for Speaker Verification
Figure 2 for Improved Meta-learning training for Speaker Verification
Figure 3 for Improved Meta-learning training for Speaker Verification
Figure 4 for Improved Meta-learning training for Speaker Verification

  Access Paper or Ask Questions

Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating


Mar 01, 2021
Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang

Figure 1 for Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating
Figure 2 for Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating
Figure 3 for Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating
Figure 4 for Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating
* Accepted by AAAI 2021, 46 pages, 7 figs 
  Access Paper or Ask Questions

Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm


Feb 17, 2021
Bin Gu, Guodong Liu, Yanfu Zhang, Xiang Geng, Heng Huang

Figure 1 for Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm
Figure 2 for Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm
Figure 3 for Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm
Figure 4 for Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm

  Access Paper or Ask Questions

Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee


Sep 01, 2020
Junyi Li, Bin Gu, Heng Huang

Figure 1 for Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee
Figure 2 for Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee
Figure 3 for Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee
Figure 4 for Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee
* submitted to ICML2020 
  Access Paper or Ask Questions

Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning


Aug 14, 2020
Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang

Figure 1 for Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning
Figure 2 for Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning
Figure 3 for Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning
Figure 4 for Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning

  Access Paper or Ask Questions

Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data


Aug 14, 2020
Bin Gu, Zhiyuan Dang, Xiang Li, Heng Huang

Figure 1 for Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data
Figure 2 for Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data
Figure 3 for Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data
Figure 4 for Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data

  Access Paper or Ask Questions

Fast OSCAR and OWL Regression via Safe Screening Rules


Jun 29, 2020
Runxue Bao, Bin Gu, Heng Huang

Figure 1 for Fast OSCAR and OWL Regression via Safe Screening Rules
Figure 2 for Fast OSCAR and OWL Regression via Safe Screening Rules
Figure 3 for Fast OSCAR and OWL Regression via Safe Screening Rules
Figure 4 for Fast OSCAR and OWL Regression via Safe Screening Rules

  Access Paper or Ask Questions

Faster On-Device Training Using New Federated Momentum Algorithm


Feb 06, 2020
Zhouyuan Huo, Qian Yang, Bin Gu, Lawrence Carin. Heng Huang

Figure 1 for Faster On-Device Training Using New Federated Momentum Algorithm
Figure 2 for Faster On-Device Training Using New Federated Momentum Algorithm
Figure 3 for Faster On-Device Training Using New Federated Momentum Algorithm
Figure 4 for Faster On-Device Training Using New Federated Momentum Algorithm

  Access Paper or Ask Questions

Large Batch Training Does Not Need Warmup


Feb 04, 2020
Zhouyuan Huo, Bin Gu, Heng Huang

Figure 1 for Large Batch Training Does Not Need Warmup
Figure 2 for Large Batch Training Does Not Need Warmup
Figure 3 for Large Batch Training Does Not Need Warmup
Figure 4 for Large Batch Training Does Not Need Warmup

  Access Paper or Ask Questions

Safe Sample Screening for Robust Support Vector Machine


Dec 24, 2019
Zhou Zhai, Bin Gu, Xiang Li, Heng Huang

Figure 1 for Safe Sample Screening for Robust Support Vector Machine
Figure 2 for Safe Sample Screening for Robust Support Vector Machine
Figure 3 for Safe Sample Screening for Robust Support Vector Machine
Figure 4 for Safe Sample Screening for Robust Support Vector Machine

  Access Paper or Ask Questions

Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization


Dec 24, 2019
Wanli Shi, Bin Gu, Xinag Li, Heng Huang

Figure 1 for Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization
Figure 2 for Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization
Figure 3 for Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization
Figure 4 for Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization
* 12 pages, 9 figures, conference 
  Access Paper or Ask Questions

Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization


Jul 29, 2019
Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang

Figure 1 for Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization
Figure 2 for Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization
Figure 3 for Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization
Figure 4 for Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization

  Access Paper or Ask Questions

Scalable Semi-Supervised SVM via Triply Stochastic Gradients


Jul 26, 2019
Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang

Figure 1 for Scalable Semi-Supervised SVM via Triply Stochastic Gradients
Figure 2 for Scalable Semi-Supervised SVM via Triply Stochastic Gradients
Figure 3 for Scalable Semi-Supervised SVM via Triply Stochastic Gradients
Figure 4 for Scalable Semi-Supervised SVM via Triply Stochastic Gradients

  Access Paper or Ask Questions

Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization


Feb 16, 2019
Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang

Figure 1 for Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization
Figure 2 for Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization
Figure 3 for Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization
Figure 4 for Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization
* AAAI-2019, 22 pages 
  Access Paper or Ask Questions

Training Neural Networks Using Features Replay


Oct 27, 2018
Zhouyuan Huo, Bin Gu, Heng Huang

Figure 1 for Training Neural Networks Using Features Replay
Figure 2 for Training Neural Networks Using Features Replay
Figure 3 for Training Neural Networks Using Features Replay
Figure 4 for Training Neural Networks Using Features Replay
* NIPS 2018 Spotlight 
  Access Paper or Ask Questions

Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization


Sep 08, 2018
Bin Gu, De Wang, Zhouyuan Huo, Heng Huang

Figure 1 for Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization
* AAAI 2018 
  Access Paper or Ask Questions

Decoupled Parallel Backpropagation with Convergence Guarantee


Jul 21, 2018
Zhouyuan Huo, Bin Gu, Qian Yang, Heng Huang

Figure 1 for Decoupled Parallel Backpropagation with Convergence Guarantee
Figure 2 for Decoupled Parallel Backpropagation with Convergence Guarantee
Figure 3 for Decoupled Parallel Backpropagation with Convergence Guarantee
Figure 4 for Decoupled Parallel Backpropagation with Convergence Guarantee
* ICML 2018 
  Access Paper or Ask Questions

Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization


Dec 29, 2017
Zhouyuan Huo, Bin Gu, Ji Liu, Heng Huang

Figure 1 for Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization
Figure 2 for Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization
Figure 3 for Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization
* AAAI 2018 
  Access Paper or Ask Questions

Zeroth-order Asynchronous Doubly Stochastic Algorithm with Variance Reduction


Dec 05, 2016
Bin Gu, Zhouyuan Huo, Heng Huang

Figure 1 for Zeroth-order Asynchronous Doubly Stochastic Algorithm with Variance Reduction

  Access Paper or Ask Questions

Asynchronous Stochastic Block Coordinate Descent with Variance Reduction


Nov 14, 2016
Bin Gu, Zhouyuan Huo, Heng Huang


  Access Paper or Ask Questions

Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction


Sep 29, 2016
Zhouyuan Huo, Bin Gu, Heng Huang

Figure 1 for Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction
Figure 2 for Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction
Figure 3 for Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction

  Access Paper or Ask Questions