Ke Ma | DeepAI

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Wei Zhang
393 publications
Wei Liu
370 publications
Fan Yang
225 publications
Xin Zhang
158 publications
Carola-Bibiane Schönlieb
128 publications
Xiang Bai
128 publications
Yong Zhang
127 publications
Zhen Li
122 publications
Lajos Hanzo
120 publications
Xiang Wang
116 publications
Jue Wang
107 publications

∙ 06/27/2023

Internal Contrastive Learning for Generalized Out-of-distribution Fault Diagnosis (GOOFD) Framework

Fault diagnosis is essential in industrial processes for monitoring the ...

0 Xingyue Wang, et al. ∙

∙ 05/14/2023

Deep Learning Empowered Type-II Codebook: New Paradigm for Enhancing CSI Feedback

Deep learning based channel state information (CSI) feedback in frequenc...

0 Ke Ma, et al. ∙

∙ 05/11/2023

An Ensemble Learning Approach for Exercise Detection in Type 1 Diabetes Patients

Type 1 diabetes is a serious disease in which individuals are unable to ...

0 Ke Ma, et al. ∙

∙ 04/01/2023

Improving Fast Adversarial Training with Prior-Guided Knowledge

Fast adversarial training (FAT) is an efficient method to improve robust...

0 Xiaojun Jia, et al. ∙

∙ 12/26/2022

OMSN and FAROS: OCTA Microstructure Segmentation Network and Fully Annotated Retinal OCTA Segmentation Dataset

The lack of efficient segmentation methods and fully-labeled datasets li...

0 Peng Xiao, et al. ∙

∙ 09/13/2022

A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial Game

Rank aggregation with pairwise comparisons has shown promising results i...

0 Ke Ma, et al. ∙

∙ 07/18/2022

Prior-Guided Adversarial Initialization for Fast Adversarial Training

Fast adversarial training (FAT) effectively improves the efficiency of s...

0 Xiaojun Jia, et al. ∙

∙ 07/17/2022

Gigapixel Whole-Slide Images Classification using Locally Supervised Learning

Histopathology whole slide images (WSIs) play a very important role in c...

5 Jingwei Zhang, et al. ∙

∙ 03/13/2022

LAS-AT: Adversarial Training with Learnable Attack Strategy

Adversarial training (AT) is always formulated as a minimax problem, of ...

0 Xiaojun Jia, et al. ∙

∙ 02/17/2022

Visual attention analysis of pathologists examining whole slide images of Prostate cancer

We study the attention of pathologists as they examine whole-slide image...

0 Souradeep Chakraborty, et al. ∙

∙ 11/18/2021

Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence

Artificial intelligence (AI) provides a promising substitution for strea...

14 Xiang Bai, et al. ∙

∙ 11/10/2021

Deep Learning for Beam-Management: State-of-the-Art, Opportunities and Challenges

Benefiting from huge bandwidth resources, millimeter-wave (mmWave) commu...

0 Ke Ma, et al. ∙

∙ 07/05/2021

Poisoning Attack against Estimating from Pairwise Comparisons

As pairwise ranking becomes broadly employed for elections, sports compe...

0 Ke Ma, et al. ∙

∙ 02/22/2021

HAIR: Head-mounted AR Intention Recognition

Human teams exhibit both implicit and explicit intention sharing. To fur...

0 David Puljiz, et al. ∙

∙ 01/28/2021

AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model Compression for Mobile Applications

There are many deep learning (e.g., DNN) powered mobile and wearable app...

0 Sicong Liu, et al. ∙

∙ 01/08/2021

Deep Learning Assisted Calibrated Beam Training for Millimeter-Wave Communication Systems

Huge overhead of beam training poses a significant challenge in millimet...

0 Ke Ma, et al. ∙

∙ 01/01/2021

On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization

The low-rank stochastic semidefinite optimization has attracted rising a...

0 Jinshan Zeng, et al. ∙

∙ 11/29/2020

Intrinsic Decomposition of Document Images In-the-Wild

Automatic document content processing is affected by artifacts caused by...

0 Sagnik Das, et al. ∙

∙ 08/27/2020

Attribute-guided image generation from layout

Recent approaches have achieved great success in image generation from s...

0 Ke Ma, et al. ∙

∙ 08/01/2020

Cyber-Resilient Transactive Energy System Design over Insecure Communication Links

In this paper, the privacy and security issues associated with transacti...

0 Yang Lu, et al. ∙

∙ 12/01/2019

Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size

Learning representation from relative similarity comparisons, often call...

0 Ke Ma, et al. ∙

∙ 12/05/2018

Robust Ordinal Embedding from Contaminated Relative Comparisons

Existing ordinal embedding methods usually follow a two-stage routine: o...

0 Ke Ma, et al. ∙

∙ 12/05/2018

Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin

In the absence of prior knowledge, ordinal embedding methods obtain new ...

0 Ke Ma, et al. ∙

∙ 11/17/2017

Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size

Learning representation from relative similarity comparisons, often call...

0 Ke Ma, et al. ∙

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