Fei Ding | DeepAI

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Philip H. S. Torr
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∙ 06/08/2023

Contrastive Representation Disentanglement for Clustering

Clustering continues to be a significant and challenging task. Recent st...

0 Fei Ding, et al. ∙

∙ 04/18/2023

A Voice Disease Detection Method Based on MFCCs and Shallow CNN

The incidence rate of voice diseases is increasing year by year. The use...

0 Xiaoping Xie, et al. ∙

∙ 11/02/2022

Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model

Pre-trained multilingual language models play an important role in cross...

0 Mingqi Li, et al. ∙

∙ 02/02/2022

Decoupled IoU Regression for Object Detection

Non-maximum suppression (NMS) is widely used in object detection pipelin...

8 Yan Gao, et al. ∙

∙ 12/17/2020

Multi-shot Temporal Event Localization: a Benchmark

Current developments in temporal event or action localization usually ta...

1 Xiaolong Liu, et al. ∙

∙ 12/01/2020

Multi-level Knowledge Distillation

Knowledge distillation has become an important technique for model compr...

17 Fei Ding, et al. ∙

∙ 06/24/2020

Model-Free Voltage Regulation of Unbalanced Distribution Network Based on Surrogate Model and Deep Reinforcement Learning

Accurate knowledge of the distribution system topology and parameters is...

0 Di Cao, et al. ∙

∙ 05/31/2020

Distributed Voltage Regulation of Active Distribution System Based on Enhanced Multi-agent Deep Reinforcement Learning

This paper proposes a data-driven distributed voltage control approach b...

7 Di Cao, et al. ∙

∙ 03/18/2020

Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization

Graph representation learning based on graph neural networks (GNNs) can ...

11 Fei Ding, et al. ∙

∙ 01/30/2020

Supervised Functional PCA with Covariate Dependent Mean and Covariance Structure

Incorporating covariate information into functional data analysis method...

0 Fei Ding, et al. ∙

∙ 11/20/2019

Hierarchical Attention Networks for Medical Image Segmentation

The medical image is characterized by the inter-class indistinction, hig...

45 Fei Ding, et al. ∙

∙ 11/13/2019

Clustering by Directly Disentangling Latent Space

To overcome the high dimensionality of data, learning latent feature rep...

0 Fei Ding, et al. ∙

∙ 10/10/2007

An Affinity Propagation Based method for Vector Quantization Codebook Design

In this paper, we firstly modify a parameter in affinity propagation (AP...

0 Wu Jiang, et al. ∙

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