Alert button
Picture for Ping Li

Ping Li

Alert button

An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem

Mar 24, 2020
Yunfeng Cai, Ping Li

Figure 1 for An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem
Figure 2 for An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem
Figure 3 for An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem
Figure 4 for An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem
Viaarxiv icon

Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems

Mar 12, 2020
Weijie Zhao, Deping Xie, Ronglai Jia, Yulei Qian, Ruiquan Ding, Mingming Sun, Ping Li

Figure 1 for Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems
Figure 2 for Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems
Figure 3 for Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems
Figure 4 for Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems
Viaarxiv icon

Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation

Mar 12, 2020
Haiyan Yin, Dingcheng Li, Xu Li, Ping Li

Figure 1 for Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation
Figure 2 for Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation
Figure 3 for Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation
Figure 4 for Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation
Viaarxiv icon

Selective Convolutional Network: An Efficient Object Detector with Ignoring Background

Feb 04, 2020
Hefei Ling, Yangyang Qin, Li Zhang, Yuxuan Shi, Ping Li

Figure 1 for Selective Convolutional Network: An Efficient Object Detector with Ignoring Background
Figure 2 for Selective Convolutional Network: An Efficient Object Detector with Ignoring Background
Figure 3 for Selective Convolutional Network: An Efficient Object Detector with Ignoring Background
Figure 4 for Selective Convolutional Network: An Efficient Object Detector with Ignoring Background
Viaarxiv icon

Structure-Feature based Graph Self-adaptive Pooling

Jan 30, 2020
Liang Zhang, Xudong Wang, Hongsheng Li, Guangming Zhu, Peiyi Shen, Ping Li, Xiaoyuan Lu, Syed Afaq Ali Shah, Mohammed Bennamoun

Figure 1 for Structure-Feature based Graph Self-adaptive Pooling
Figure 2 for Structure-Feature based Graph Self-adaptive Pooling
Figure 3 for Structure-Feature based Graph Self-adaptive Pooling
Figure 4 for Structure-Feature based Graph Self-adaptive Pooling
Viaarxiv icon

Outlier Detection and Data Clustering via Innovation Search

Dec 30, 2019
Mostafa Rahmani, Ping Li

Figure 1 for Outlier Detection and Data Clustering via Innovation Search
Figure 2 for Outlier Detection and Data Clustering via Innovation Search
Figure 3 for Outlier Detection and Data Clustering via Innovation Search
Figure 4 for Outlier Detection and Data Clustering via Innovation Search
Viaarxiv icon

A Fourier Analytical Approach to Estimation of Smooth Functions in Gaussian Shift Model

Nov 05, 2019
Fan Zhou, Ping Li

Figure 1 for A Fourier Analytical Approach to Estimation of Smooth Functions in Gaussian Shift Model
Figure 2 for A Fourier Analytical Approach to Estimation of Smooth Functions in Gaussian Shift Model
Figure 3 for A Fourier Analytical Approach to Estimation of Smooth Functions in Gaussian Shift Model
Figure 4 for A Fourier Analytical Approach to Estimation of Smooth Functions in Gaussian Shift Model
Viaarxiv icon

Graph Analysis and Graph Pooling in the Spatial Domain

Oct 03, 2019
Mostafa Rahmani, Ping Li

Figure 1 for Graph Analysis and Graph Pooling in the Spatial Domain
Figure 2 for Graph Analysis and Graph Pooling in the Spatial Domain
Figure 3 for Graph Analysis and Graph Pooling in the Spatial Domain
Figure 4 for Graph Analysis and Graph Pooling in the Spatial Domain
Viaarxiv icon

Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing

Sep 05, 2019
Hang Zhang, Martin Slawski, Ping Li

Figure 1 for Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing
Figure 2 for Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing
Figure 3 for Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing
Figure 4 for Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing
Viaarxiv icon

Multi-Spectral Visual Odometry without Explicit Stereo Matching

Aug 23, 2019
Weichen Dai, Yu Zhang, Donglei Sun, Naira Hovakimyan, Ping Li

Figure 1 for Multi-Spectral Visual Odometry without Explicit Stereo Matching
Figure 2 for Multi-Spectral Visual Odometry without Explicit Stereo Matching
Figure 3 for Multi-Spectral Visual Odometry without Explicit Stereo Matching
Figure 4 for Multi-Spectral Visual Odometry without Explicit Stereo Matching
Viaarxiv icon