Dingding Chen

According to our database1, Dingding Chen authored at least 25 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Toward fast belief propagation for distributed constraint optimization problems via heuristic search.
Auton. Agents Multi Agent Syst., June, 2024

DHNet: A Distributed Network Architecture for Smart Home.
CoRR, 2024

MATE: When multi-agent Deep Reinforcement Learning meets Traffic Engineering in multi-domain networks.
Comput. Networks, 2024

2023
Inference-based complete algorithms for asymmetric distributed constraint optimization problems.
Artif. Intell. Rev., May, 2023

Learning heuristics for weighted CSPs through deep reinforcement learning.
Appl. Intell., April, 2023

2022
An Improved Method for Making CNN Immune to Backdoor Attack by Activating Clustering.
Proceedings of the 6th International Symposium on Computer Science and Intelligent Control, 2022

Completeness Matters: Towards Efficient Caching in Tree-Based Synchronous Backtracking Search for DCOPs.
Proceedings of the 28th International Conference on Principles and Practice of Constraint Programming, 2022

Beyond Uninformed Search: Improving Branch-and-bound Based Acceleration Algorithms for Belief Propagation via Heuristic Strategies.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
A Bound-Independent Pruning Technique to Speeding up Tree-Based Complete Search Algorithms for Distributed Constraint Optimization Problems.
Proceedings of the 27th International Conference on Principles and Practice of Constraint Programming, 2021

2020
Super-resolution reconstruction of single anisotropic 3D MR images using residual convolutional neural network.
Neurocomputing, 2020

RMB-DPOP: Refining MB-DPOP by Reducing Redundant Inferences.
CoRR, 2020

3D dense connectivity network with atrous convolutional feature pyramid for brain tumor segmentation in magnetic resonance imaging of human heads.
Comput. Biol. Medicine, 2020

A hybrid tree-based algorithm to solve asymmetric distributed constraint optimization problems.
Auton. Agents Multi Agent Syst., 2020

RMB-DPOP: Refining MB-DPOP by Reducing Redundant Inference.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-Based Inference.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Virtual Inpainting for Dazu Rock Carvings Based on a Sample Dataset.
ACM Journal on Computing and Cultural Heritage, 2019

A Generic Approach for Accelerating Belief Propagation based DCOP Algorithms via A Branch-and-Bound Technique.
CoRR, 2019

AsymDPOP: Complete Inference for Asymmetric Distributed Constraint Optimization Problems.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

PT-ISABB: A Hybrid Tree-based Complete Algorithm to Solve Asymmetric Distributed Constraint Optimization Problems.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound Technique.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
FHEDN: A context modeling Feature Hierarchy Encoder-Decoder Network for face detection.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
FHEDN: A based on context modeling Feature Hierarchy Encoder-Decoder Network for face detection.
CoRR, 2017

2007
Construction of surrogate model ensembles with sparse data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Variable Input Neural Network Ensembles in Generating Synthetic Well Logs.
Proceedings of the International Joint Conference on Neural Networks, 2006

1999
Optimal use of regularization and cross-validation in neural network modeling.
Proceedings of the International Joint Conference Neural Networks, 1999


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