Chuntao Ding

According to our database, Chuntao Ding authored at least 31 papers between 2014 and 2024.

Collaborative distances:

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

2024

Representative Kernels-Based CNN for Faster Transmission in Federated Learning.

Wei Li, Zichen Shen, Xiulong Liu, Mingfeng Wang, Chao Ma, Chuntao Ding, Jiannong Cao

IEEE Trans. Mob. Comput., December, 2024

DCP-AHS: A High-Performance Distributed Cooperative Positioning Model for Concave Networks.

Xiaoyong Yan, Jiannong Cao, Jian Zhou, Chuntao Ding, Han Sun, Lijuan Sun, Aiguo Song

IEEE Trans. Mob. Comput., May, 2024

A Resource-Efficient Feature Extraction Framework for Image Processing in IoT Devices.

Chuntao Ding, Yidong Li, Zhichao Lu, Shangguang Wang, Song Guo

IEEE Trans. Mob. Comput., January, 2024

LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices.

Chuntao Ding, Xu Cao, Jianhang Xie, Linlin Fan, Shangguang Wang, Zhichao Lu

CoRR, 2024

Adaptive partitioning and efficient scheduling for distributed DNN training in heterogeneous IoT environment.

Binbin Huang, Xunqing Huang, Xiao Liu, Chuntao Ding, Yuyu Yin, Shuiguang Deng

Comput. Commun., 2024

ADNet: A Neural Network for Accelerometer Signals Denoising.

Fengling Zheng, Wei Li, Chuntao Ding, Xiaohui Cui

Proceedings of the International Joint Conference on Neural Networks, 2024

Multi-Vision Services Acceleration Framework for IoT Devices.

Jianhang Xie, Chuntao Ding, Shenyuan Ren, Yidong Li

Proceedings of the IEEE International Conference on Web Services, 2024

2023

Towards Transmission-Friendly and Robust CNN Models over Cloud and Device.

Chuntao Ding, Zhichao Lu, Felix Juefei-Xu, Vishnu Naresh Boddeti, Yidong Li, Jiannong Cao

IEEE Trans. Mob. Comput., October, 2023

TFormer: A Transmission-Friendly ViT Model for IoT Devices.

Zhichao Lu, Chuntao Ding, Felix Juefei-Xu, Vishnu Naresh Boddeti, Shangguang Wang, Yun Yang

IEEE Trans. Parallel Distributed Syst., February, 2023

Dependent Application Offloading in Edge Computing.

Junna Zhang, Guoxian Zhang, Xiang Bao, Chuntao Ding, Peiyan Yuan, Xinglin Zhang, Shangguang Wang

IEEE Trans. Cloud Comput., 2023

Towards Diversified IoT Image Recognition Services in Mobile Edge Computing.

Chuntao Ding, Ao Zhou, Xiao Ma, Ning Zhang, Ching-Hsien Hsu, Shangguang Wang

IEEE Trans. Cloud Comput., 2023

Task Offloading Based on Application Hit Ratio.

Junna Zhang, Xinxin Wang, Chuntao Ding, Xiaoyan Zhao, Shangguang Wang

Proceedings of the IEEE International Conference on Web Services, 2023

Localized Knowledge Distillation Helps IoT Devices Provide High-performance Visual Services.

Jinhui Yu, Chuntao Ding, Huifang Li, Yi Jin, Yidong Li

Proceedings of the IEEE International Conference on Web Services, 2023

Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services.

Zhichao Lu, Chuntao Ding, Shangguang Wang, Ran Cheng, Felix Juefei-Xu, Vishnu Naresh Boddeti

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.

Chuntao Ding, Zhichao Lu, Shangguang Wang, Ran Cheng, Vishnu Naresh Boddeti

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Resource-Aware Feature Extraction in Mobile Edge Computing.

Chuntao Ding, Ao Zhou, Xiulong Liu, Xiao Ma, Shangguang Wang

IEEE Trans. Mob. Comput., 2022

A Cloud-Edge Collaboration Framework for Cognitive Service.

Chuntao Ding, Ao Zhou, Yunxin Liu, Rong N. Chang, Ching-Hsien Hsu, Shangguang Wang

IEEE Trans. Cloud Comput., 2022

Edge/Cloud-Assisted Feature Extraction in IoT Devices.

Chuntao Ding, Yidong Li, Shangguang Wang

IEEE Internet Things J., 2022

Identity-based Secure and Efficient Intelligent Inference Framework for IoT-Cloud System.

Jingyi Li, Yidong Li, Chuntao Ding, Jinhui Yu, Yan Ren

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.

Shangguang Wang, Chuntao Ding, Ning Zhang, Xiulong Liu, Ao Zhou, Jiannong Cao, Xuemin Shen

IEEE Trans. Mob. Comput., 2021

2020

Dimensionality reduction via preserving local information.

Shangguang Wang, Chuntao Ding, Ching-Hsien Hsu, Fangchun Yang

Future Gener. Comput. Syst., 2020

Cognitive Service in Mobile Edge Computing.

Chuntao Ding, Ao Zhou, Xiao Ma, Shangguang Wang

Proceedings of the 2020 IEEE International Conference on Web Services, 2020

2019

Appropriate points choosing for subspace learning over image classification.

Chuntao Ding, Shangguang Wang

J. Supercomput., 2019

ECDU: an edge content delivery and update framework in Mobile edge computing.

Chuntao Ding, Ao Zhou, Jie Huang, Ying Liu, Shangguang Wang

EURASIP J. Wirel. Commun. Netw., 2019

2018

Hierarchical Discriminant Analysis.

Di Lu, Chuntao Ding, Jinliang Xu, Shangguang Wang

Sensors, 2018

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

Shangguang Wang, Chuntao Ding, Ning Zhang, Nan Cheng, Jie Huang, Ying Liu

CoRR, 2018

2016

LBDAG-DNE: Locality Balanced Subspace Learning for Image Recognition.

Chuntao Ding, Qibo Sun

Proceedings of the Collaborate Computing: Networking, Applications and Worksharing, 2016

2015

Double adjacency graphs-based discriminant neighborhood embedding.

Chuntao Ding, Li Zhang

Pattern Recognit., 2015

Similarity-balanced discriminant neighbor embedding and its application to cancer classification based on gene expression data.

Li Zhang, Liqiang Qian, Chuntao Ding, Weida Zhou, Fanzhang Li

Comput. Biol. Medicine, 2015

2014

Hidden space discriminant neighborhood embedding.

Chuntao Ding, Li Zhang, Bangjun Wang

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Similarity-balanced Discriminant Neighborhood Embedding.

Chuntao Ding, Li Zhang, Ya-Ping Lu, Shuping He

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014