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2020 – today
- 2024
[j17]Binbin Huang
, Xunqing Huang, Xiao Liu, Chuntao Ding, Yuyu Yin, Shuiguang Deng:
Adaptive partitioning and efficient scheduling for distributed DNN training in heterogeneous IoT environment. Comput. Commun. 215: 169-179 (2024)- [j16]Chuntao Ding, Yidong Li, Zhichao Lu, Shangguang Wang, Song Guo:
A Resource-Efficient Feature Extraction Framework for Image Processing in IoT Devices. IEEE Trans. Mob. Comput. 23(1): 42-55 (2024) - [j15]Xiaoyong Yan, Jiannong Cao, Jian Zhou, Chuntao Ding, Han Sun, Lijuan Sun, Aiguo Song:
DCP-AHS: A High-Performance Distributed Cooperative Positioning Model for Concave Networks. IEEE Trans. Mob. Comput. 23(5): 4334-4347 (2024) - [c11]Jianhang Xie, Chuntao Ding, Shenyuan Ren, Yidong Li:
Multi-Vision Services Acceleration Framework for IoT Devices. ICWS 2024: 888-898 - [c10]Fengling Zheng, Wei Li, Chuntao Ding, Xiaohui Cui:
ADNet: A Neural Network for Accelerometer Signals Denoising. IJCNN 2024: 1-8 - 2023
- [j14]Chuntao Ding, Ao Zhou, Xiao Ma, Ning Zhang, Ching-Hsien Hsu, Shangguang Wang:
Towards Diversified IoT Image Recognition Services in Mobile Edge Computing. IEEE Trans. Cloud Comput. 11(1): 666-677 (2023) - [j13]Junna Zhang, Guoxian Zhang, Xiang Bao, Chuntao Ding, Peiyan Yuan, Xinglin Zhang, Shangguang Wang:
Dependent Application Offloading in Edge Computing. IEEE Trans. Cloud Comput. 11(4): 3439-3451 (2023) - [j12]Chuntao Ding, Zhichao Lu, Felix Juefei-Xu, Vishnu Naresh Boddeti, Yidong Li, Jiannong Cao:
Towards Transmission-Friendly and Robust CNN Models over Cloud and Device. IEEE Trans. Mob. Comput. 22(10): 6176-6189 (2023) - [j11]Zhichao Lu, Chuntao Ding, Felix Juefei-Xu, Vishnu Naresh Boddeti, Shangguang Wang, Yun Yang:
TFormer: A Transmission-Friendly ViT Model for IoT Devices. IEEE Trans. Parallel Distributed Syst. 34(2): 598-610 (2023) - [c9]Chuntao Ding, Zhichao Lu, Shangguang Wang, Ran Cheng, Vishnu Naresh Boddeti:
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives. CVPR 2023: 7756-7765 - [c8]Junna Zhang, Xinxin Wang, Chuntao Ding, Xiaoyan Zhao, Shangguang Wang:
Task Offloading Based on Application Hit Ratio. ICWS 2023: 36-42 - [c7]Jinhui Yu, Chuntao Ding, Huifang Li, Yi Jin, Yidong Li:
Localized Knowledge Distillation Helps IoT Devices Provide High-performance Visual Services. ICWS 2023: 170-178 - [c6]Zhichao Lu, Chuntao Ding, Shangguang Wang, Ran Cheng, Felix Juefei-Xu, Vishnu Naresh Boddeti:
Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services. ICWS 2023: 415-425 - [i5]Zhichao Lu, Chuntao Ding, Felix Juefei-Xu, Vishnu Naresh Boddeti, Shangguang Wang, Yun Yang:
TFormer: A Transmission-Friendly ViT Model for IoT Devices. CoRR abs/2302.07734 (2023) - [i4]Chuntao Ding, Zhichao Lu, Shangguang Wang, Ran Cheng, Vishnu Naresh Boddeti:
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives. CoRR abs/2308.02066 (2023) - [i3]Zhichao Lu, Chuntao Ding, Shangguang Wang, Ran Cheng, Felix Juefei-Xu, Vishnu Naresh Boddeti:
Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services. CoRR abs/2308.06515 (2023) - 2022
- [j10]Chuntao Ding, Yidong Li, Shangguang Wang:
Edge/Cloud-Assisted Feature Extraction in IoT Devices. IEEE Internet Things J. 9(21): 21594-21606 (2022) - [j9]Chuntao Ding, Ao Zhou, Yunxin Liu, Rong N. Chang, Ching-Hsien Hsu, Shangguang Wang:
A Cloud-Edge Collaboration Framework for Cognitive Service. IEEE Trans. Cloud Comput. 10(3): 1489-1499 (2022) - [j8]Chuntao Ding, Ao Zhou, Xiulong Liu, Xiao Ma, Shangguang Wang:
Resource-Aware Feature Extraction in Mobile Edge Computing. IEEE Trans. Mob. Comput. 21(1): 321-331 (2022) - [c5]Jingyi Li, Yidong Li, Chuntao Ding, Jinhui Yu, Yan Ren:
Identity-based Secure and Efficient Intelligent Inference Framework for IoT-Cloud System. PAAP 2022: 1-6 - [i2]Chuntao Ding, Zhichao Lu, Felix Juefei-Xu, Vishnu Naresh Boddeti, Yidong Li, Jiannong Cao:
Towards Transmission-Friendly and Robust CNN Models over Cloud and Device. CoRR abs/2207.09616 (2022) - 2021
- [j7]Shangguang Wang, Chuntao Ding, Ning Zhang, Xiulong Liu, Ao Zhou, Jiannong Cao, Xuemin Shen:
A Cloud-Guided Feature Extraction Approach for Image Retrieval in Mobile Edge Computing. IEEE Trans. Mob. Comput. 20(2): 292-305 (2021) - 2020
- [j6]Shangguang Wang, Chuntao Ding, Ching-Hsien Hsu, Fangchun Yang:
Dimensionality reduction via preserving local information. Future Gener. Comput. Syst. 108: 967-975 (2020) - [c4]Chuntao Ding, Ao Zhou, Xiao Ma, Shangguang Wang:
Cognitive Service in Mobile Edge Computing. ICWS 2020: 181-188
2010 – 2019
- 2019
- [j5]Chuntao Ding, Ao Zhou, Jie Huang, Ying Liu, Shangguang Wang:
ECDU: an edge content delivery and update framework in Mobile edge computing. EURASIP J. Wirel. Commun. Netw. 2019: 268 (2019) - [j4]Chuntao Ding, Shangguang Wang:
Appropriate points choosing for subspace learning over image classification. J. Supercomput. 75(2): 688-703 (2019) - 2018
- [j3]Di Lu, Chuntao Ding, Jinliang Xu, Shangguang Wang:
Hierarchical Discriminant Analysis. Sensors 18(1): 279 (2018) - [i1]Shangguang Wang, Chuntao Ding, Ning Zhang, Nan Cheng, Jie Huang, Ying Liu:
ECD: An Edge Content Delivery and Update Framework in Mobile Edge Computing. CoRR abs/1805.10783 (2018) - 2016
- [c3]Chuntao Ding, Qibo Sun:
LBDAG-DNE: Locality Balanced Subspace Learning for Image Recognition. CollaborateCom 2016: 199-210 - 2015
- [j2]Li Zhang, Liqiang Qian, Chuntao Ding, Weida Zhou, Fanzhang Li:
Similarity-balanced discriminant neighbor embedding and its application to cancer classification based on gene expression data. Comput. Biol. Medicine 64: 236-245 (2015) - [j1]Chuntao Ding, Li Zhang:
Double adjacency graphs-based discriminant neighborhood embedding. Pattern Recognit. 48(5): 1734-1742 (2015) - 2014
- [c2]Chuntao Ding, Li Zhang, Bangjun Wang:
Hidden space discriminant neighborhood embedding. IJCNN 2014: 271-277 - [c1]Chuntao Ding, Li Zhang, Ya-Ping Lu, Shuping He:
Similarity-balanced Discriminant Neighborhood Embedding. IJCNN 2014: 1213-1220
Coauthor Index
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