Chong Peng | DeepAI

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Qian Zhang
144 publications
Zenglin Xu
84 publications
Xi Peng
67 publications
Xinwang Liu
53 publications
Ming Yang
42 publications
Zhao Kang
42 publications
Qiang Chen
33 publications
Qiang Cheng
32 publications
Dingwen Zhang
31 publications
Yuming Fang
29 publications
Xiao Lu
24 publications

∙ 09/30/2022

Explainable Censored Learning: Finding Critical Features with Long Term Prognostic Values for Survival Prediction

Interpreting critical variables involved in complex biological processes...

0 Xinxing Wu, et al. ∙

∙ 08/25/2022

PRIME: Uncovering Circadian Oscillation Patterns and Associations with AD in Untimed Genome-wide Gene Expression across Multiple Brain Regions

The disruption of circadian rhythm is a cardinal symptom for Alzheimer's...

0 Xinxing Wu, et al. ∙

∙ 08/25/2022

Alcohol Intake Differentiates AD and LATE: A Telltale Lifestyle from Two Large-Scale Datasets

Alzheimer's disease (AD), as a progressive brain disease, affects cognit...

0 Xinxing Wu, et al. ∙

∙ 06/20/2022

A Novel Long-term Iterative Mining Scheme for Video Salient Object Detection

The existing state-of-the-art (SOTA) video salient object detection (VSO...

0 Chenglizhao Chen, et al. ∙

∙ 04/22/2022

Log-based Sparse Nonnegative Matrix Factorization for Data Representation

Nonnegative matrix factorization (NMF) has been widely studied in recent...

0 Chong Peng, et al. ∙

∙ 11/03/2020

Kernel Two-Dimensional Ridge Regression for Subspace Clustering

Subspace clustering methods have been widely studied recently. When the ...

7 Chong Peng, et al. ∙

∙ 08/31/2020

Structured Graph Learning for Clustering and Semi-supervised Classification

Graphs have become increasingly popular in modeling structures and inter...

4 Zhao Kang, et al. ∙

∙ 08/07/2020

Full Reference Screen Content Image Quality Assessment by Fusing Multi-level Structure Similarity

The screen content images (SCIs) usually comprise various content types ...

0 Chenglizhao Chen, et al. ∙

∙ 08/07/2020

Depth Quality Aware Salient Object Detection

The existing fusion based RGB-D salient object detection methods usually...

0 Chenglizhao Chen, et al. ∙

∙ 08/07/2020

Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object Detection

The current main stream methods formulate their video saliency mainly fr...

0 Chenglizhao Chen, et al. ∙

∙ 08/07/2020

A Novel Video Salient Object Detection Method via Semi-supervised Motion Quality Perception

Previous video salient object detection (VSOD) approaches have mainly fo...

3 Chenglizhao Chen, et al. ∙

∙ 05/19/2020

Two-Dimensional Semi-Nonnegative Matrix Factorization for Clustering

In this paper, we propose a new Semi-Nonnegative Matrix Factorization me...

0 Chong Peng, et al. ∙

∙ 12/03/2019

Structure Learning with Similarity Preserving

Leveraging on the underlying low-dimensional structure of data, low-rank...

13 Zhao Kang, et al. ∙

∙ 07/13/2019

A stabilized total-Lagrangian SPH method for large deformation and failure in geomaterials

Conventional smoothed particle hydrodynamics based on Eulerian kernels (...

0 Md Rushdie Ibne Islam, et al. ∙

∙ 07/09/2019

Nonnegative Matrix Factorization with Local Similarity Learning

Existing nonnegative matrix factorization methods focus on learning glob...

0 Chong Peng, et al. ∙

∙ 04/16/2019

RES-PCA: A Scalable Approach to Recovering Low-rank Matrices

Robust principal component analysis (RPCA) has drawn significant attenti...

0 Chong Peng, et al. ∙

∙ 04/16/2019

Discriminative Regression Machine: A Classifier for High-Dimensional Data or Imbalanced Data

We introduce a discriminative regression approach to supervised classifi...

0 Chong Peng, et al. ∙

∙ 04/04/2019

Numerical Simulation of Metal Machining Process with Eulerian and Total Lagrangian SPH

This paper presents numerical simulations of metal machining processes w...

0 Md Rushdie Ibne Islam, et al. ∙

∙ 01/24/2019

A Total Lagrangian SPH Method for Modelling Damage and Failure in Solids

An algorithm is proposed to model crack initiation and propagation withi...

0 Md Rushdie Ibne Islam, et al. ∙

∙ 11/12/2017

Unified Spectral Clustering with Optimal Graph

Spectral clustering has found extensive use in many areas. Most traditio...

0 Zhao Kang, et al. ∙

∙ 05/01/2017

Twin Learning for Similarity and Clustering: A Unified Kernel Approach

Many similarity-based clustering methods work in two separate steps incl...

0 Zhao Kang, et al. ∙

∙ 09/27/2016

A Fast Factorization-based Approach to Robust PCA

Robust principal component analysis (RPCA) has been widely used for reco...

0 Chong Peng, et al. ∙

∙ 09/27/2016

Top-N Recommendation on Graphs

Recommender systems play an increasingly important role in online applic...

0 Zhao Kang, et al. ∙

∙ 01/19/2016

Top-N Recommender System via Matrix Completion

Top-N recommender systems have been investigated widely both in industry...

0 Zhao Kang, et al. ∙

∙ 11/17/2015

Robust PCA via Nonconvex Rank Approximation

Numerous applications in data mining and machine learning require recove...

0 Zhao Kang, et al. ∙

∙ 10/30/2015

Robust Subspace Clustering via Tighter Rank Approximation

Matrix rank minimization problem is in general NP-hard. The nuclear norm...

0 Zhao Kang, et al. ∙

∙ 08/18/2015

Robust Subspace Clustering via Smoothed Rank Approximation

Matrix rank minimizing subject to affine constraints arises in many appl...

0 Zhao Kang, et al. ∙

∙ 07/03/2015

LogDet Rank Minimization with Application to Subspace Clustering

Low-rank matrix is desired in many machine learning and computer vision ...

0 Zhao Kang, et al. ∙

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