Explanipedia

Synergistic Deep Graph Clustering Network Open

Benyu Wu, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding , et al. · 2024

Employing graph neural networks (GNNs) to learn cohesive and discriminative node representations for clustering has shown promising results in deep graph clustering. However, existing methods disregard the reciprocal relationship between r…

Expressive Multi-Agent Communication via Identity-Aware Learning Open

Wei Du, Shifei Ding, Lili Guo, Jian Zhang, Ling Ding · 2024

Information sharing through communication is essential for tackling complex multi-agent reinforcement learning tasks. Many existing multi-agent communication protocols can be viewed as instances of message passing graph neural networks (GN…

Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck Open

Shifei Ding, Wei Du, Ling Ding, Lili Guo, Jian Zhang · 2024

Efficient communication learning among agents has been shown crucial for cooperative multi-agent reinforcement learning (MARL), as it can promote the action coordination of agents and ultimately improve performance. Graph neural network (G…

Deep Friendly Embedding Space for Clustering Open

Haiwei Hou, Shifei Ding, Xiao Xu, Lili Guo · 2024

Heterogeneous Multi-Agent Communication Learning via Graph Information Maximization Open

Du Wei, Shifei Ding · 2023

Communication learning is an effective way to solve complicated cooperative tasks in multi-agent reinforcement learning (MARL) domain.Graph neural network (GNN) has been widely adopt for learning the multi-agent communication and various G…

An AdaBoost Based - Deep Stochastic Configuration Network Open

Chenglong Zhang, Shifei Ding, Ling Ding · 2022

Image Style Transfering Based on StarGAN and Class Encoder Open

Xinzheng Xu, Jianying Chang, Shifei Ding · 2022

Multi-View Spectral Clustering via ELM-AE Ensemble Features Representations Learning Open

Lijuan Wang, Shifei Ding · 2020

Spectral cluster based on multi-view data has proven effective for clustering multi-source real-world data because consensus and complementary information of multi-view data ensure the result of clustering. Feature learning is the vital st…

Link-Based Cluster Ensemble Method for Improved Meta-clustering Algorithm Open

Changlong Shao, Shifei Ding · 2020

Adversarial Training Methods for Boltzmann Machines Open

Jian Zhang, Shifei Ding, Nan Zhang, Weikuan Jia · 2019

A Restricted Boltzmann Machines (RBM) is a generative Neural Net that is typically trained to minimize KL divergence between data distribution P_data and its model distribution P_RBM. However, minimizing this KL diverge…

Research on fingerprint classification based on twin support vector machine Open

Shifei Ding, Songhui Shi, Weikuan Jia · 2019

Fingerprint classification is one of the core steps of fingerprint recognition and directly relates to the accuracy of recognition. For this reason, a fingerprint classification method based on Twin Support Vector Machine (TWSVM) is studie…

An Improvement of Spectral Clustering via Message Passing and Density Sensitive Similarity Open

Lijuan Wang, Shifei Ding, Hongjie Jia · 2019

Spectral clustering transforms the data clustering problem into a graph-partitioning problem and classifies data points by finding the optimal sub-graphs. Traditional spectral clustering algorithms use Gaussian kernel function to construct…

Image segmentation algorithm based on superpixel clustering Open

Cong Lin, Shifei Ding, Lijuan Wang, Aijuan Zhang, Weikuan Jia · 2018

The main task of image segmentation is to partition an image into disjoint sets of pixels called clusters. Spectral clustering algorithm has been developed rapidly in recent years and it has been widely used in image segmentation. The trad…

A K-AP Clustering Algorithm Based on Manifold Similarity Measure Open

Hongjie Jia, Liangjun Wang, Heping Song, Qirong Mao, Shifei Ding · 2018

Multi-view Restricted Boltzmann Machines with Posterior Consistency Open

Shifei Ding, Nan Zhang, Jian Zhang · 2018

Collaborative filtering model for enhancing fingerprint image Open

Weixin Bian, Shifei Ding, Weikuan Jia · 2017

Fingerprint enhancement plays a very important role in automatic fingerprint identification system. In order to ensure reliable fingerprint identification and improve fingerprint ridge structure, a novel method based on the collaborative f…

Boltzmann Machine and its Applications in Image Recognition Open

Shifei Ding, Jian Zhang, Nan Zhang, Yanlu Hou · 2016

p-Spectral Clustering Based on Neighborhood Attribute Granulation Open

Shifei Ding, Hongjie Jia, Mingjing Du, Qiankun Hu · 2016

A Novel Locally Multiple Kernel k-means Based on Similarity Open

Shuyan Fan, Shifei Ding, Mingjing Du, Xiao Xu · 2016

Mixed and Continuous Strategy Monitor-Forward Game Based Selective Forwarding Solution in WSN Open

Hongmei Liao, Shifei Ding · 2015

Wireless sensor networks are often deployed in unattended and hostile environments. Due to the resource limitations and multihop communication in WSN, selective forwarding attacks launched by compromised insider nodes are a serious threat.…

Survey on granularity clustering Open

Shifei Ding, Mingjing Du, Hong Zhu · 2015

Deep Extreme Learning Machine and Its Application in EEG Classification Open

Shifei Ding, Nan Zhang, Xinzheng Xu, Lili Guo, Jian Zhang · 2015

Recently, deep learning has aroused wide interest in machine learning fields. Deep learning is a multilayer perceptron artificial neural network algorithm. Deep learning has the advantage of approximating the complicated function and allev…

Mathematical Modeling and Analysis of Soft Computing Open

Shifei Ding, Zhongzhi Shi, Ke Chen, Ahmad Taher Azar · 2015

Soft computing is one of the hot research fields in advanced artificial intelligence, while mathematical modeling and analysis (MMA) plays key role in soft computing.This special issue aims to promote the research, development, and applica…

Research and Development of Advanced Computing Technologies Open

Shifei Ding, Zhongzhi Shi, Ahmad Taher Azar · 2015

Advanced computing technologies are one of the hot research fields in artificial intelligence.This special issue aims to promote the research, development, and applications of advanced computing technologies by providing a high-level inter…

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