Similarity-balanced Discriminant Neighborhood Embedding. - Chuntao Ding; Li Zhang 004; Ya-Ping Lu; Shuping He (IJCNN, 2014)

Hidden space discriminant neighborhood embedding. - Chuntao Ding; Li Zhang 004; Bangjun Wang (IJCNN, 2014)

Similarity-balanced discriminant neighbor embedding and its application to cancer classification based on gene expression data. - Li Zhang 004; Liqiang Qian; Chuntao Ding; Weida Zhou; Fanzhang Li (Comput. Biol. Medicine, 2015)

Double adjacency graphs-based discriminant neighborhood embedding. - Chuntao Ding; Li Zhang 004 (Pattern Recognit., 2015)

LBDAG-DNE: Locality Balanced Subspace Learning for Image Recognition. - Chuntao Ding; Qibo Sun (CollaborateCom, 2016)

ECD: An Edge Content Delivery and Update Framework in Mobile Edge Computing. - Shangguang Wang; Chuntao Ding; Ning Zhang 007; Nan Cheng; Jie Huang 021; Ying Liu (CoRR, 2018)

Hierarchical Discriminant Analysis. - Di Lu; Chuntao Ding; Jinliang Xu; Shangguang Wang (Sensors, 2018)

ECDU: an edge content delivery and update framework in Mobile edge computing. - Chuntao Ding; Ao Zhou 001; Jie Huang 021; Ying Liu; Shangguang Wang (EURASIP J. Wirel. Commun. Netw., 2019)

Appropriate points choosing for subspace learning over image classification. - Chuntao Ding; Shangguang Wang (J. Supercomput., 2019)

Cognitive Service in Mobile Edge Computing. - Chuntao Ding; Ao Zhou 001; Xiao Ma 009; Shangguang Wang (ICWS, 2020)

Dimensionality reduction via preserving local information. - Shangguang Wang; Chuntao Ding; Ching-Hsien Hsu; Fangchun Yang (Future Gener. Comput. Syst., 2020)

A Cloud-Guided Feature Extraction Approach for Image Retrieval in Mobile Edge Computing. - Shangguang Wang; Chuntao Ding; Ning Zhang 007; Xiulong Liu; Ao Zhou 001; Jiannong Cao 001; Xuemin Shen (IEEE Trans. Mob. Comput., 2021)

Identity-based Secure and Efficient Intelligent Inference Framework for IoT-Cloud System. - Jingyi Li; Yidong Li; Chuntao Ding; Jinhui Yu; Yan Ren (PAAP, 2022)

Edge/Cloud-Assisted Feature Extraction in IoT Devices. - Chuntao Ding; Yidong Li; Shangguang Wang (IEEE Internet Things J., 2022)

A Cloud-Edge Collaboration Framework for Cognitive Service. - Chuntao Ding; Ao Zhou 001; Yunxin Liu 001; Rong N. Chang; Ching-Hsien Hsu; Shangguang Wang (IEEE Trans. Cloud Comput., 2022)

Resource-Aware Feature Extraction in Mobile Edge Computing. - Chuntao Ding; Ao Zhou 001; Xiulong Liu; Xiao Ma 009; Shangguang Wang (IEEE Trans. Mob. Comput., 2022)

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 (CVPR, 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 (ICWS, 2023)

Localized Knowledge Distillation Helps IoT Devices Provide High-performance Visual Services. - Jinhui Yu; Chuntao Ding; Huifang Li; Yi Jin 001; Yidong Li (ICWS, 2023)

Task Offloading Based on Application Hit Ratio. - Junna Zhang; Xinxin Wang; Chuntao Ding; Xiaoyan Zhao 001; Shangguang Wang (ICWS, 2023)

Towards Diversified IoT Image Recognition Services in Mobile Edge Computing. - Chuntao Ding; Ao Zhou 001; Xiao Ma 009; Ning Zhang 007; Ching-Hsien Hsu; Shangguang Wang (IEEE Trans. Cloud Comput., 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)

TFormer: A Transmission-Friendly ViT Model for IoT Devices. - Zhichao Lu; Chuntao Ding; Felix Juefei-Xu; Vishnu Naresh Boddeti; Shangguang Wang; Yun Yang 001 (IEEE Trans. Parallel Distributed Syst., 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 001 (IEEE Trans. Mob. Comput., 2023)

Multi-Task Learning Network Optimization Based on Weight Adaptive. - Zizhuo Cao; Yidong Li; Chuntao Ding; Zhuxi Zhang (BESC, 2024)

Multi-Vision Services Acceleration Framework for IoT Devices. - Jianhang Xie; Chuntao Ding; Shenyuan Ren; Yidong Li (ICWS, 2024)

ADNet: A Neural Network for Accelerometer Signals Denoising. - Fengling Zheng; Wei Li 121; Chuntao Ding; Xiaohui Cui (IJCNN, 2024)

Adaptive partitioning and efficient scheduling for distributed DNN training in heterogeneous IoT environment. - Binbin Huang; Xunqing Huang; Xiao Liu 004; Chuntao Ding; Yuyu Yin; Shuiguang Deng (Comput. Commun., 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)

SECaaS-Based Partially Observable Defense Model for IIoT Against Advanced Persistent Threats. - Zikai Zhang; Chuntao Ding; Yidong Li; Jinhui Yu; Jingyi Li (IEEE Trans. Serv. Comput., 2024)

A Resource-Efficient Feature Extraction Framework for Image Processing in IoT Devices. - Chuntao Ding; Yidong Li; Zhichao Lu; Shangguang Wang; Song Guo 001 (IEEE Trans. Mob. Comput., 2024)

DCP-AHS: A High-Performance Distributed Cooperative Positioning Model for Concave Networks. - Xiaoyong Yan; Jiannong Cao 001; Jian Zhou 009; Chuntao Ding; Han Sun; Lijuan Sun; Aiguo Song (IEEE Trans. Mob. Comput., 2024)

Representative Kernels-Based CNN for Faster Transmission in Federated Learning. - Wei Li 121; Zichen Shen; Xiulong Liu; Mingfeng Wang; Chao Ma 008; Chuntao Ding; Jiannong Cao 001 (IEEE Trans. Mob. Comput., 2024)

Non-Redundant Feature Extraction in Mobile Edge Computing. - Xiaojun Chen; Qi Wang; Chuntao Ding (IEEE Access, 2025)

A Resource-Efficient Multiple Recognition Services Framework for IoT Devices. - Chuntao Ding; Zhuo Liu; Ao Zhou 001; Jinhui Yu; Yidong Li; Shangguang Wang (IEEE Trans. Serv. Comput., 2025)

ReFrame: A Resource-Friendly Cloud-Assisted On-Device Deep Learning Framework for Vision Services. - Jianhang Xie; Chuntao Ding; Qingji Guan; Ao Zhou 001; Yidong Li (IEEE Trans. Serv. Comput., 2025)

GroupNL: Low-Resource and Robust CNN Design over Cloud and Device. - Chuntao Ding; Jianhang Xie; Junna Zhang; Salman Raza; Shangguang Wang; Jiannong Cao 001 (CoRR, 2025)

NestQuant: Post-Training Integer-Nesting Quantization for On-Device DNN. - Jianhang Xie; Chuntao Ding; Xiaqing Li; Shenyuan Ren; Yidong Li; Zhichao Lu (CoRR, 2025)

Fed-OGD: Mitigating Straggler Effects in Federated Learning via Orthogonal Gradient Descent. - Wei Li 121; Zicheng Shen; Xiulong Liu; Chuntao Ding; Jiaxing Shen (IEEE Trans. Computers, 2025)

NDP: Network Division Positioning for Irregular Multi-Hop Networks. - Xiaoyong Yan; Fu Xiao 001; Jian Zhou 009; Xiulong Liu; Chuntao Ding; Jiannong Cao 001; Aiguo Song; Alex X. Liu (IEEE Trans. Parallel Distributed Syst., 2025)