Nanjing University of Aeronautics and Astronautics

research

∙ 12/17/2019

Adaptive Densely Connected Super-Resolution Reconstruction

For a better performance in single image super-resolution(SISR), we pres...

Tangxin Xie, et al. ∙

research

∙ 12/13/2021

Semantically Contrastive Learning for Low-light Image Enhancement

Low-light image enhancement (LLE) remains challenging due to the unfavor...

Dong Liang, et al. ∙

research

∙ 02/07/2020

Deep Robust Multilevel Semantic Cross-Modal Hashing

Hashing based cross-modal retrieval has recently made significant progre...

Ge Song, et al. ∙

research

∙ 03/27/2021

Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries

In addition to high accuracy, robustness is becoming increasingly import...

Kun-Peng Ning, et al. ∙

research

∙ 05/07/2020

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT

Chest computed tomography (CT) becomes an effective tool to assist the d...

Liang Sun, et al. ∙

research

∙ 06/11/2019

Deep Learning for Spatio-Temporal Data Mining: A Survey

With the fast development of various positioning techniques such as Glob...

Senzhang Wang, et al. ∙

research

∙ 10/24/2020

Shared Space Transfer Learning for analyzing multi-site fMRI data

Multi-voxel pattern analysis (MVPA) learns predictive models from task-b...

Muhammad Yousefnezhad, et al. ∙

research

∙ 03/27/2021

A Survey of Orthogonal Moments for Image Representation: Theory, Implementation, and Evaluation

Image representation is an important topic in computer vision and patter...

Shuren Qi, et al. ∙

research

∙ 08/05/2018

Multi-Objective Cognitive Model: a supervised approach for multi-subject fMRI analysis

In order to decode the human brain, Multivariate Pattern (MVP) classific...

Muhammad Yousefnezhad, et al. ∙

research

∙ 08/12/2019

Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning

In the process of exploring the world, the curiosity constantly drives h...

Chuanxing Geng, et al. ∙

research

∙ 02/21/2020

On the Search for Feedback in Reinforcement Learning

This paper addresses the problem of learning the optimal feedback policy...

Ran Wang, et al. ∙

research

∙ 12/29/2020

With False Friends Like These, Who Can Have Self-Knowledge?

Adversarial examples arise from excessive sensitivity of a model. Common...

Lue Tao, et al. ∙

research

∙ 08/18/2019

Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations

We propose a deep fully convolutional neural network with a new type of ...

Luming Liang, et al. ∙

research

∙ 04/12/2020

MLCVNet: Multi-Level Context VoteNet for 3D Object Detection

In this paper, we address the 3D object detection task by capturing mult...

Qian Xie, et al. ∙

research

∙ 06/09/2019

Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification

CNNs, RNNs, GCNs, and CapsNets have shown significant insights in repres...

Hao Peng, et al. ∙

research

∙ 11/27/2020

Robust and Natural Physical Adversarial Examples for Object Detectors

Recently, many studies show that deep neural networks (DNNs) are suscept...

Mingfu Xue, et al. ∙

research

∙ 06/21/2021

Open-set Label Noise Can Improve Robustness Against Inherent Label Noise

Learning with noisy labels is a practically challenging problem in weakl...

Hongxin Wei, et al. ∙

research

∙ 02/09/2021

Provable Defense Against Delusive Poisoning

Delusive poisoning is a special kind of attack to obstruct learning, whe...

Lue Tao, et al. ∙

research

∙ 10/11/2017

Deep Hyperalignment

This paper proposes Deep Hyperalignment (DHA) as a regularized, deep ext...

Muhammad Yousefnezhad, et al. ∙

research

∙ 10/05/2017

Anatomical Pattern Analysis for decoding visual stimuli in human brains

Background: A universal unanswered question in neuroscience and machine ...

Muhammad Yousefnezhad, et al. ∙

research

∙ 12/23/2014

Unsupervised Feature Learning with C-SVDDNet

In this paper, we investigate the problem of learning feature representa...

Dong Wang, et al. ∙

research

∙ 11/25/2016

Local Discriminant Hyperalignment for multi-subject fMRI data alignment

Multivariate Pattern (MVP) classification can map different cognitive st...

Muhammad Yousefnezhad, et al. ∙

research

∙ 06/04/2017

Personalized Age Progression with Bi-level Aging Dictionary Learning

Age progression is defined as aesthetically re-rendering the aging face ...

Xiangbo Shu, et al. ∙

research

∙ 12/26/2016

Multi-Region Neural Representation: A novel model for decoding visual stimuli in human brains

Multivariate Pattern (MVP) classification holds enormous potential for d...

Muhammad Yousefnezhad, et al. ∙

research

∙ 12/20/2016

WoCE: a framework for clustering ensemble by exploiting the wisdom of Crowds theory

The Wisdom of Crowds (WOC), as a theory in the social science, gets a ne...

Muhammad Yousefnezhad, et al. ∙

research

∙ 10/10/2016

Stochastic Alternating Direction Method of Multipliers with Variance Reduction for Nonconvex Optimization

In the paper, we study the stochastic alternating direction method of mu...

Feihu Huang, et al. ∙

research

∙ 09/04/2016

Decoding visual stimuli in human brain by using Anatomical Pattern Analysis on fMRI images

A universal unanswered question in neuroscience and machine learning is ...

Muhammad Yousefnezhad, et al. ∙

research

∙ 01/04/2017

A Hierarchical Image Matting Model for Blood Vessel Segmentation in Fundus images

In this paper, a hierarchical image matting model is proposed to extract...

Zhun Fan, et al. ∙

research

∙ 04/25/2016

Weighted Spectral Cluster Ensemble

Clustering explores meaningful patterns in the non-labeled data sets. Cl...

Muhammad Yousefnezhad, et al. ∙

research

∙ 09/14/2016

Joint Gender Classification and Age Estimation by Nearly Orthogonalizing Their Semantic Spaces

In human face-based biometrics, gender classification and age estimation...

Qing Tian, et al. ∙

research

∙ 09/13/2016

A Unified Gender-Aware Age Estimation

Human age estimation has attracted increasing researches due to its wide...

Qing Tian, et al. ∙

research

∙ 04/08/2016

Bayesian Neighbourhood Component Analysis

Learning a good distance metric in feature space potentially improves th...

Dong Wang, et al. ∙

research

∙ 03/16/2013

l_2,p Matrix Norm and Its Application in Feature Selection

Recently, l_2,1 matrix norm has been widely applied to many areas such a...

Liping Wang, et al. ∙

research

∙ 01/14/2018

Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification

Brain Electroencephalography (EEG) classification is widely applied to a...

Chenglong Dai, et al. ∙

research

∙ 01/29/2018

Ensemble Neural Relation Extraction with Adaptive Boosting

Relation extraction has been widely studied to extract new relational fa...

Dongdong Yang, et al. ∙

research

∙ 02/08/2018

Mini-Batch Stochastic ADMMs for Nonconvex Nonsmooth Optimization

In the paper, we study the mini-batch stochastic ADMMs (alternating dire...

Feihu Huang, et al. ∙

research

∙ 02/10/2018

MOEA/D with Angle-based Constrained Dominance Principle for Constrained Multi-objective Optimization Problems

This paper proposes a novel constraint-handling mechanism named angle-ba...

Zhun Fan, et al. ∙

research

∙ 02/15/2018

Cost-Effective Training of Deep CNNs with Active Model Adaptation

Deep convolutional neural networks have achieved great success in variou...

Sheng-Jun Huang, et al. ∙

research

∙ 02/15/2018

Active Feature Acquisition with Supervised Matrix Completion

Feature missing is a serious problem in many applications, which may lea...

Sheng-Jun Huang, et al. ∙

research

∙ 03/05/2018

Cross-Domain Recommendation for Cold-Start Users via Neighborhood Based Feature Mapping

Collaborative Filtering (CF) is a widely adopted technique in recommende...

Xinghua Wang, et al. ∙

research

∙ 06/08/2018

Locating the boundaries of Pareto fronts: A Many-Objective Evolutionary Algorithm Based on Corner Solution Search

In this paper, an evolutionary many-objective optimization algorithm bas...

Xinye Cai, et al. ∙

research

∙ 07/06/2018

MDS codes with arbitrary dimensional hull and their applications

The hull of linear codes have promising utilization in coding theory and...

Gaojun Luo, et al. ∙

research

∙ 10/11/2018

signSGD with Majority Vote is Communication Efficient And Byzantine Fault Tolerant

Training neural networks on large datasets can be accelerated by distrib...

Jeremy Bernstein, et al. ∙

research

∙ 11/04/2018

Multiuser Wirelessly Powered Backscatter Communications: Nonlinearity, Waveform Design and SINR-Energy Tradeoff

Wireless power transfer and backscatter communications have emerged as p...

Zati Bayani Zawawi, et al. ∙

research

∙ 12/01/2018

Markov chain Monte Carlo Methods For Lattice Gaussian Sampling: Lattice Reduction and Decoding Optimization

Sampling from the lattice Gaussian distribution has emerged as an import...

Zheng Wang, et al. ∙

research

∙ 01/12/2019

ALiPy: Active Learning in Python

Supervised machine learning methods usually require a large set of label...

Ying-Peng Tang, et al. ∙

research

∙ 02/11/2019

Pornographic Image Recognition via Weighted Multiple Instance Learning

In the era of Internet, recognizing pornographic images is of great sign...

Jin Xin, et al. ∙

research

∙ 02/16/2019

Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization

Proximal gradient method has been playing an important role to solve man...

Feihu Huang, et al. ∙

research

∙ 02/18/2019

SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction

Generative Adversarial Networks (GANs) are powerful tools for reconstruc...

Zhongnian Li, et al. ∙

research

∙ 03/03/2019

CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for Source Code Modeling

Recently many NLP-based deep learning models have been applied to model ...

Yasir Hussain, et al. ∙

Nanjing University of Aeronautics and Astronautics

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