Ling Ding

According to our database, Ling Ding authored at least 40 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SynC: Synergistic Boosting of Structure and Representation for Deep Graph Clustering.

Shifei Ding, Benyu Wu, Xiao Xu, Ling Ding, Xindong Wu

IEEE Trans. Neural Networks Learn. Syst., June, 2026

Semantic Image Clustering With Deep Learning.

Haiwei Hou, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu

IEEE Trans. Cogn. Dev. Syst., April, 2026

ARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion.

Ling Ding, Zhizhi Yu, Di Jin, Lei Huang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Multiagent Reinforcement Learning With Graphical Mutual Information Maximization.

Shifei Ding, Wei Du, Ling Ding, Jian Zhang, Lili Guo, Bo An

IEEE Trans. Neural Networks Learn. Syst., November, 2025

Robust Density Peaks Clustering for Manifold Data With Multiple Peaks.

Ling Ding, Chao Li, Shifei Ding, Xiao Xu, Lili Guo, Xindong Wu

IEEE Trans. Pattern Anal. Mach. Intell., November, 2025

Fast Density Peaks Clustering Algorithm Based on Approximate k-Nearest Neighbors.

Shifei Ding, Chao Li, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu

IEEE Trans. Knowl. Data Eng., October, 2025

Parameter-Adaptive Border Peeling Clustering Algorithm.

Hui Tu, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu

IEEE Trans. Knowl. Data Eng., September, 2025

Vertical Federated Density Peaks Clustering Under Nonlinear Mapping.

Chao Li, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu

IEEE Trans. Knowl. Data Eng., February, 2025

Horizontal Federated Density Peaks Clustering.

Shifei Ding, Chao Li, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu

IEEE Trans. Neural Networks Learn. Syst., January, 2025

Multi-channel set polynomial based label regularized graph neural networks against extreme data scarcity.

Jingxiao Zhang, Shifei Ding, Jian Zhang, Lili Guo, Ling Ding

Pattern Recognit., 2025

Triple-view graph clustering network based on high-confidence contrastive learning strategy.

Shifei Ding, Zhe Li, Xiao Xu, Lili Guo, Ling Ding

Knowl. Based Syst., 2025

Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion.

Ling Ding, Lei Huang, Zhizhi Yu, Di Jin, Dongxiao He

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Graph-Based Semi-Supervised Deep Image Clustering With Adaptive Adjacency Matrix.

Shifei Ding, Haiwei Hou, Xiao Xu, Jian Zhang, Lili Guo, Ling Ding

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder.

Shifei Ding, Benyu Wu, Ling Ding, Xiao Xu, Lili Guo, Hongmei Liao, Xindong Wu

ACM Trans. Knowl. Discov. Data, September, 2024

Robust Multi-Agent Communication With Graph Information Bottleneck Optimization.

Shifei Ding, Wei Du, Ling Ding, Jian Zhang, Lili Guo, Bo An

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Better value estimation in Q-learning-based multi-agent reinforcement learning.

Ling Ding, Wei Du, Jian Zhang, Lili Guo, Chenglong Zhang, Di Jin, Shifei Ding

Soft Comput., March, 2024

A novel image denoising algorithm combining attention mechanism and residual UNet network.

Shifei Ding, Qidong Wang, Lili Guo, Jian Zhang, Ling Ding

Knowl. Inf. Syst., January, 2024

Non-iterative border-peeling clustering algorithm based on swap strategy.

Hui Tu, Shifei Ding, Xiao Xu, Haiwei Hou, Chao Li, Ling Ding

Inf. Sci., January, 2024

Wavelet and Adaptive Coordinate Attention Guided Fine-Grained Residual Network for Image Denoising.

Shifei Ding, Qidong Wang, Lili Guo, Xuan Li, Ling Ding, Xindong Wu

IEEE Trans. Circuits Syst. Video Technol., 2024

Survey of spectral clustering based on graph theory.

Ling Ding, Chao Li, Di Jin, Shifei Ding

Pattern Recognit., 2024

Synergistic Deep Graph Clustering Network.

Benyu Wu, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu

CoRR, 2024

Expressive Multi-Agent Communication via Identity-Aware Learning.

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Graph clustering network with structure embedding enhanced.

Shifei Ding, Benyu Wu, Xiao Xu, Lili Guo, Ling Ding

Pattern Recognit., December, 2023

Fast density peaks clustering algorithm based on improved mutual K-nearest-neighbor and sub-cluster merging.

Chao Li, Shifei Ding, Xiao Xu, Haiwei Hou, Ling Ding

Inf. Sci., November, 2023

Botnet DGA Domain Name Classification Using Transformer Network with Hybrid Embedding.

Ling Ding, Peng Du, Haiwei Hou, Jian Zhang, Di Jin, Shifei Ding

Big Data Res., August, 2023

Multi-agent dueling Q-learning with mean field and value decomposition.

Shifei Ding, Wei Du, Ling Ding, Lili Guo, Jian Zhang, Bo An

Pattern Recognit., July, 2023

A novel capsule network based on deep routing and residual learning.

Jian Zhang, Qinghai Xu, Lili Guo, Ling Ding, Shifei Ding

Soft Comput., June, 2023

A novel clustering algorithm based on multi-layer features and graph attention networks.

Haiwei Hou, Shifei Ding, Xiao Xu, Ling Ding

Soft Comput., May, 2023

A Sampling-Based Density Peaks Clustering Algorithm for Large-Scale Data.

Shifei Ding, Chao Li, Xiao Xu, Ling Ding, Jian Zhang, Lili Guo, Tianhao Shi

Pattern Recognit., April, 2023

Density peaks clustering algorithm based on improved similarity and allocation strategy.

Shifei Ding, Wei Du, Chao Li, Xiao Xu, Lijuan Wang, Ling Ding

Int. J. Mach. Learn. Cybern., April, 2023

Incremental Multilayer Broad Learning System With Stochastic Configuration Algorithm for Regression.

Shifei Ding, Chenglong Zhang, Jian Zhang, Lili Guo, Ling Ding

IEEE Trans. Cogn. Dev. Syst., 2023

Widely-activated network merging perceptual loss via discrete wavelet transform for image super-resolution.

Lili Guo, Yanru Wang, Fanchao Wang, Ling Ding, Shifei Ding

Int. J. Mach. Learn. Cybern., 2023

2022

Value function factorization with dynamic weighting for deep multi-agent reinforcement learning.

Wei Du, Shifei Ding, Lili Guo, Jian Zhang, Chenglong Zhang, Ling Ding

Inf. Sci., 2022

An AdaBoost Based - Deep Stochastic Configuration Network.

Chenglong Zhang, Shifei Ding, Ling Ding

Proceedings of the Intelligent Information Processing XI, 2022

2021

An improved density-based adaptive p-spectral clustering algorithm.

Yanru Wang, Shifei Ding, Lijuan Wang, Ling Ding

Int. J. Mach. Learn. Cybern., 2021

A robust spectral clustering algorithm based on grid-partition and decision-graph.

Lijuan Wang, Shifei Ding, Yanru Wang, Ling Ding

Int. J. Mach. Learn. Cybern., 2021

M-pSC: a manifold p-spectral clustering algorithm.

Ling Ding, Shifei Ding, Yanru Wang, Lijuan Wang, Hongjie Jia

Int. J. Mach. Learn. Cybern., 2021

Chameleon algorithm based on mutual k-nearest neighbors.

Yuru Zhang, Shifei Ding, Lijuan Wang, Yanru Wang, Ling Ding

Appl. Intell., 2021

A community detection algorithm based on Quasi-Laplacian centrality peaks clustering.

Tianhao Shi, Shifei Ding, Xiao Xu, Ling Ding

Appl. Intell., 2021