Chuntao Ding

Orcid: 0000-0001-8362-8407

According to our database1, Chuntao Ding authored at least 26 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
DCP-AHS: A High-Performance Distributed Cooperative Positioning Model for Concave Networks.
IEEE Trans. Mob. Comput., May, 2024

A Resource-Efficient Feature Extraction Framework for Image Processing in IoT Devices.
IEEE Trans. Mob. Comput., January, 2024

2023
Towards Transmission-Friendly and Robust CNN Models over Cloud and Device.
IEEE Trans. Mob. Comput., October, 2023

TFormer: A Transmission-Friendly ViT Model for IoT Devices.
IEEE Trans. Parallel Distributed Syst., February, 2023

Dependent Application Offloading in Edge Computing.
IEEE Trans. Cloud Comput., 2023

Towards Diversified IoT Image Recognition Services in Mobile Edge Computing.
IEEE Trans. Cloud Comput., 2023

Task Offloading Based on Application Hit Ratio.
Proceedings of the IEEE International Conference on Web Services, 2023

Localized Knowledge Distillation Helps IoT Devices Provide High-performance Visual Services.
Proceedings of the IEEE International Conference on Web Services, 2023

Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services.
Proceedings of the IEEE International Conference on Web Services, 2023

Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Resource-Aware Feature Extraction in Mobile Edge Computing.
IEEE Trans. Mob. Comput., 2022

A Cloud-Edge Collaboration Framework for Cognitive Service.
IEEE Trans. Cloud Comput., 2022

Edge/Cloud-Assisted Feature Extraction in IoT Devices.
IEEE Internet Things J., 2022

Identity-based Secure and Efficient Intelligent Inference Framework for IoT-Cloud System.
Proceedings of the 13th IEEE International Symposium on Parallel Architectures, 2022

2021
A Cloud-Guided Feature Extraction Approach for Image Retrieval in Mobile Edge Computing.
IEEE Trans. Mob. Comput., 2021

2020
Dimensionality reduction via preserving local information.
Future Gener. Comput. Syst., 2020

Cognitive Service in Mobile Edge Computing.
Proceedings of the 2020 IEEE International Conference on Web Services, 2020

2019
Appropriate points choosing for subspace learning over image classification.
J. Supercomput., 2019

ECDU: an edge content delivery and update framework in Mobile edge computing.
EURASIP J. Wirel. Commun. Netw., 2019

2018
Hierarchical Discriminant Analysis.
Sensors, 2018

ECD: An Edge Content Delivery and Update Framework in Mobile Edge Computing.
CoRR, 2018

2016
LBDAG-DNE: Locality Balanced Subspace Learning for Image Recognition.
Proceedings of the Collaborate Computing: Networking, Applications and Worksharing, 2016

2015
Double adjacency graphs-based discriminant neighborhood embedding.
Pattern Recognit., 2015

Similarity-balanced discriminant neighbor embedding and its application to cancer classification based on gene expression data.
Comput. Biol. Medicine, 2015

2014
Hidden space discriminant neighborhood embedding.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Similarity-balanced Discriminant Neighborhood Embedding.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014


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