Ji Xu | DeepAI

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Featured Co-authors

Yi Yang
329 publications
Hao Wu
145 publications
Yuan Xie
118 publications
Jing Yang
111 publications
Taiji Suzuki
84 publications
Daniel Hsu
72 publications
Kun Li
68 publications
Xiaodong Wang
62 publications
Yebin Liu
60 publications
Mikhail Belkin
57 publications
Roger Grosse
56 publications

∙ 06/12/2023

Underwater Acoustic Target Recognition based on Smoothness-inducing Regularization and Spectrogram-based Data Augmentation

Underwater acoustic target recognition is a challenging task owing to th...

0 Ji Xu, et al. ∙

∙ 05/31/2023

Underwater-Art: Expanding Information Perspectives With Text Templates For Underwater Acoustic Target Recognition

Underwater acoustic target recognition is an intractable task due to the...

0 Yuan Xie, et al. ∙

∙ 05/31/2023

Adaptive ship-radiated noise recognition with learnable fine-grained wavelet transform

Analyzing the ocean acoustic environment is a tricky task. Background no...

0 Yuan Xie, et al. ∙

∙ 04/24/2023

Advancing underwater acoustic target recognition via adaptive data pruning and smoothness-inducing regularization

Underwater acoustic recognition for ship-radiated signals has high pract...

0 Yuan Xie, et al. ∙

∙ 01/11/2023

Determinate Node Selection for Semi-supervised Classification Oriented Graph Convolutional Networks

Graph Convolutional Networks (GCNs) have been proved successful in the f...

0 Yao Xiao, et al. ∙

∙ 08/17/2022

Semi-supervised Learning with Deterministic Labeling and Large Margin Projection

The centrality and diversity of the labeled data are very influential to...

0 Ji Xu, et al. ∙

∙ 02/22/2022

Improving CTC-based speech recognition via knowledge transferring from pre-trained language models

Recently, end-to-end automatic speech recognition models based on connec...

0 Keqi Deng, et al. ∙

∙ 11/05/2021

Impact of the Sensing Spectrum on Signal Recovery in Generalized Linear Models

We consider a nonlinear inverse problem 𝐲= f(𝐀𝐱), where observations 𝐲∈ℝ...

0 Junjie Ma, et al. ∙

∙ 09/22/2020

On the proliferation of support vectors in high dimensions

The support vector machine (SVM) is a well-established classification me...

32 Daniel Hsu, et al. ∙

∙ 06/18/2020

When Does Preconditioning Help or Hurt Generalization?

While second order optimizers such as natural gradient descent (NGD) oft...

0 Shun-ichi Amari, et al. ∙

∙ 06/10/2020

On the Optimal Weighted ℓ_2 Regularization in Overparameterized Linear Regression

We consider the linear model 𝐲 = 𝐗β_⋆ + ϵ with 𝐗∈ℝ^n× p in the overparam...

0 Denny Wu, et al. ∙

∙ 06/19/2019

Learning to Reconstruct and Understand Indoor Scenes from Sparse Views

This paper proposes a new method for simultaneous 3D reconstruction and ...

3 Jingyu Yang, et al. ∙

∙ 06/04/2019

How many variables should be entered in a principal component regression equation?

We study least squares linear regression over N uncorrelated Gaussian fe...

6 Ji Xu, et al. ∙

∙ 03/18/2019

Two models of double descent for weak features

The "double descent" risk curve was recently proposed to qualitatively d...

6 Mikhail Belkin, et al. ∙

∙ 03/06/2019

Spectral Method for Phase Retrieval: an Expectation Propagation Perspective

Phase retrieval refers to the problem of recovering a signal x_∈C^n from...

0 Junjie Ma, et al. ∙

∙ 02/05/2019

Consistent Risk Estimation in High-Dimensional Linear Regression

Risk estimation is at the core of many learning systems. The importance ...

0 Ji Xu, et al. ∙

∙ 10/26/2018

Benefits of over-parameterization with EM

Expectation Maximization (EM) is among the most popular algorithms for m...

2 Ji Xu, et al. ∙

∙ 06/08/2018

Approximate Message Passing for Amplitude Based Optimization

We consider an ℓ_2-regularized non-convex optimization problem for recov...

0 Junjie Ma, et al. ∙

∙ 01/03/2018

Optimization-based AMP for Phase Retrieval: The Impact of Initialization and ℓ_2-regularization

We consider an ℓ_2-regularized non-convex optimization problem for recov...

0 Junjie Ma, et al. ∙

∙ 09/25/2017

Non-iterative Label Propagation on Optimal Leading Forest

Graph based semi-supervised learning (GSSL) has intuitive representation...

0 Ji Xu, et al. ∙

∙ 08/17/2017

An Improved Residual LSTM Architecture for Acoustic Modeling

Long Short-Term Memory (LSTM) is the primary recurrent neural networks a...

0 Lu Huang, et al. ∙

∙ 08/26/2016

Global analysis of Expectation Maximization for mixtures of two Gaussians

Expectation Maximization (EM) is among the most popular algorithms for e...

0 Ji Xu, et al. ∙

∙ 06/12/2015

Leading Tree in DPCLUS and Its Impact on Building Hierarchies

This paper reveals the tree structure as an intermediate result of clust...

0 Ji Xu, et al. ∙

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