| A cloud-edge collaboration framework for cognitive service C Ding, A Zhou, Y Liu, RN Chang, CH Hsu, S Wang IEEE Transactions on Cloud Computing 10 (3), 1489-1499, 2020 | 77 | 2020 |
| A cloud-guided feature extraction approach for image retrieval in mobile edge computing S Wang, C Ding, N Zhang, X Liu, A Zhou, J Cao, X Shen IEEE Transactions on Mobile Computing 20 (2), 292-305, 2019 | 54 | 2019 |
| Double adjacency graphs-based discriminant neighborhood embedding C Ding, L Zhang Pattern Recognition 48 (5), 1734-1742, 2015 | 47 | 2015 |
| Dimensionality reduction via preserving local information S Wang, C Ding, CH Hsu, F Yang Future Generation Computer Systems 108, 967-975, 2020 | 18 | 2020 |
| Similarity-balanced discriminant neighbor embedding and its application to cancer classification based on gene expression data L Zhang, L Qian, C Ding, W Zhou, F Li Computers in biology and medicine 64, 236-245, 2015 | 18 | 2015 |
| Resource-aware feature extraction in mobile edge computing C Ding, A Zhou, X Liu, X Ma, S Wang IEEE Transactions on Mobile Computing 21 (1), 321-331, 2020 | 15 | 2020 |
| ECDU: An edge content delivery and update framework in mobile edge computing C Ding, A Zhou, J Huang, Y Liu, S Wang EURASIP Journal on Wireless Communications and Networking 2019 (1), 268, 2019 | 15 | 2019 |
| Towards transmission-friendly and robust cnn models over cloud and device C Ding, Z Lu, F Juefei-Xu, VN Boddeti, Y Li, J Cao IEEE Transactions on Mobile Computing, 2022 | 12 | 2022 |
| Cognitive service in mobile edge computing C Ding, A Zhou, X Ma, S Wang 2020 IEEE International Conference on Web Services (ICWS), 181-188, 2020 | 11 | 2020 |
| Hierarchical discriminant analysis D Lu, C Ding, J Xu, S Wang Sensors 18 (1), 279, 2018 | 10 | 2018 |
| Tformer: A transmission-friendly vit model for iot devices Z Lu, C Ding, F Juefei-Xu, VN Boddeti, S Wang, Y Yang IEEE Transactions on Parallel and Distributed Systems 34 (2), 598-610, 2022 | 8 | 2022 |
| Mitigating task interference in multi-task learning via explicit task routing with non-learnable primitives C Ding, Z Lu, S Wang, R Cheng, VN Boddeti Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
| 边缘计算综述: 应用, 现状及挑战 丁春涛， 曹建农， 杨磊， 王尚广 中兴通讯技术 25 (3), 2-7, 2019 | 6 | 2019 |
| Towards diversified IoT image recognition services in mobile edge computing C Ding, A Zhou, X Ma, N Zhang, CH Hsu, S Wang IEEE Transactions on Cloud Computing 11 (1), 666-677, 2021 | 5 | 2021 |
| Appropriate points choosing for subspace learning over image classification C Ding, S Wang The Journal of Supercomputing 75, 688-703, 2019 | 4 | 2019 |
| LBDAG-DNE: locality balanced subspace learning for image recognition C Ding, Q Sun Collaborate Computing: Networking, Applications and Worksharing: 12th …, 2017 | 3 | 2017 |
| Edge/cloud-assisted feature extraction in IoT devices C Ding, Y Li, S Wang IEEE Internet of Things Journal 9 (21), 21594-21606, 2022 | 2 | 2022 |
| Hidden space discriminant neighborhood embedding C Ding, L Zhang, B Wang 2014 International Joint Conference on Neural Networks (IJCNN), 271-277, 2014 | 2 | 2014 |
| Dcp-ahs: A high-performance distributed cooperative positioning model for concave networks X Yan, J Cao, J Zhou, C Ding, H Sun, L Sun, A Song IEEE Transactions on Mobile Computing, 2023 | 1 | 2023 |
| Identity-based Secure and Efficient Intelligent Inference Framework for IoT-Cloud System J Li, Y Li, C Ding, J Yu, Y Ren 2022 IEEE 13th International Symposium on Parallel Architectures, Algorithms …, 2022 | 1 | 2022 |
Shangguang WangBeijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn
