Ling Ding

Orcid: 0000-0002-3208-2528

Affiliations:
  • Tianjin University, College of Intelligence and Computing, Tianjin, China


According to our database1, Ling Ding authored at least 26 papers between 2021 and 2024.

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Bibliography

2024
Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder.
ACM Trans. Knowl. Discov. Data, September, 2024

Robust Multi-Agent Communication With Graph Information Bottleneck Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Better value estimation in Q-learning-based multi-agent reinforcement learning.
Soft Comput., March, 2024

A novel image denoising algorithm combining attention mechanism and residual UNet network.
Knowl. Inf. Syst., January, 2024

Non-iterative border-peeling clustering algorithm based on swap strategy.
Inf. Sci., January, 2024

Survey of spectral clustering based on graph theory.
Pattern Recognit., 2024

Synergistic Deep Graph Clustering Network.
CoRR, 2024

Expressive Multi-Agent Communication via Identity-Aware Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Graph clustering network with structure embedding enhanced.
Pattern Recognit., December, 2023

Fast density peaks clustering algorithm based on improved mutual K-nearest-neighbor and sub-cluster merging.
Inf. Sci., November, 2023

Botnet DGA Domain Name Classification Using Transformer Network with Hybrid Embedding.
Big Data Res., August, 2023

Multi-agent dueling Q-learning with mean field and value decomposition.
Pattern Recognit., July, 2023

A novel capsule network based on deep routing and residual learning.
Soft Comput., June, 2023

A novel clustering algorithm based on multi-layer features and graph attention networks.
Soft Comput., May, 2023

A Sampling-Based Density Peaks Clustering Algorithm for Large-Scale Data.
Pattern Recognit., April, 2023

Density peaks clustering algorithm based on improved similarity and allocation strategy.
Int. J. Mach. Learn. Cybern., April, 2023

Incremental Multilayer Broad Learning System With Stochastic Configuration Algorithm for Regression.
IEEE Trans. Cogn. Dev. Syst., 2023

Widely-activated network merging perceptual loss via discrete wavelet transform for image super-resolution.
Int. J. Mach. Learn. Cybern., 2023

2022
Value function factorization with dynamic weighting for deep multi-agent reinforcement learning.
Inf. Sci., 2022

An AdaBoost Based - Deep Stochastic Configuration Network.
Proceedings of the Intelligent Information Processing XI, 2022

2021
An improved density-based adaptive p-spectral clustering algorithm.
Int. J. Mach. Learn. Cybern., 2021

A robust spectral clustering algorithm based on grid-partition and decision-graph.
Int. J. Mach. Learn. Cybern., 2021

M-pSC: a manifold p-spectral clustering algorithm.
Int. J. Mach. Learn. Cybern., 2021

Chameleon algorithm based on mutual k-nearest neighbors.
Appl. Intell., 2021

A community detection algorithm based on Quasi-Laplacian centrality peaks clustering.
Appl. Intell., 2021


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