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2020 – today
- 2024
[j17]Junna Zhang, Shuisheng Zhou:
Structured orthogonal random features based on DCT for kernel approximation. Neurocomputing 610: 128640 (2024)- [j16]Xiaoyan Zhao
, Jiale Zhang, Junna Zhang, Peiyan Yuan, Hu Jin, Xiangyang Li:
CooCo: A Collaborative Offloading and Resource Configuration Algorithm in Edge Networks. IEEE Internet Things J. 11(6): 10709-10721 (2024) - [j15]Kang Zhao, Shuisheng Zhou, Ying Zhang, Junna Zhang:
Consistent multi-view subspace clustering with local structure information. Int. J. Mach. Learn. Cybern. 15(8): 3495-3512 (2024) - [c4]Haojuan Zhang, Yali Wang, Peiyan Yuan, Junna Zhang:
Energy- and Cost-Oriented Optimization of Hybrid Coded Storage in Edge Caching Systems. ICWS 2024: 92-99 - 2023
- [j14]Junna Zhang, Shuisheng Zhou, Cui Fu, Feng Ye:
Fast newton method to solve KLR based on multilevel circulant matrix with log-linear complexity. Appl. Intell. 53(18): 21407-21421 (2023) - [j13]Junna Zhang, Jiawei Chen, Xiang Bao, Chunhong Liu, Peiyan Yuan, Xinglin Zhang, Shangguang Wang:
Dependent task offloading mechanism for cloud-edge-device collaboration. J. Netw. Comput. Appl. 216: 103656 (2023) - [j12]Peiyan Yuan, Rong Huang, Junna Zhang, En Zhang, Xiaoyan Zhao:
Accuracy Rate Maximization in Edge Federated Learning With Delay and Energy Constraints. IEEE Syst. J. 17(2): 2053-2064 (2023) - [j11]Junna Zhang, Degang Chen, Qiang Yang, Yiqiao Wang, Dong Liu, Sang-Woon Jeon, Jun Zhang:
Proximity ranking-based multimodal differential evolution. Swarm Evol. Comput. 78: 101277 (2023) - [j10]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) - [j9]Xinglin Zhang, Jiaqi Tian, Junna Zhang, Chaocan Xiang:
Fine-grained Caching and Resource Scheduling for Adaptive Bitrate Videos in Edge Networks. ACM Trans. Sens. Networks 19(4): 95:1-95:30 (2023) - [j8]Peiyan Yuan, Saike Shao, Junna Zhang, Xiaoyan Zhao:
Cooperative edge offloading strategy for sensory data with delay and energy constraints. Wirel. Networks 29(8): 3469-3478 (2023) - [c3]Junna Zhang, Xinxin Wang, Chuntao Ding, Xiaoyan Zhao, Shangguang Wang:
Task Offloading Based on Application Hit Ratio. ICWS 2023: 36-42 - 2022
- [j7]Zhuan Zhang, Shuisheng Zhou, Ting Yang, Junna Zhang:
Faster doubly stochastic functional gradient by gradient preconditioning for scalable kernel methods. Appl. Intell. 52(7): 7091-7112 (2022) - [j6]Chunhong Liu, Jie Jiao, Weili Li, Jingxiong Wang, Junna Zhang:
Tr-Predictior: An Ensemble Transfer Learning Model for Small-Sample Cloud Workload Prediction. Entropy 24(12): 1770 (2022) - [j5]Xinglin Zhang, Zhenjiang Li, Chang Lai, Junna Zhang:
Joint Edge Server Placement and Service Placement in Mobile-Edge Computing. IEEE Internet Things J. 9(13): 11261-11274 (2022) - [j4]Cui Fu, Shuisheng Zhou, Junna Zhang, Banghe Han, Yuxue Chen, Feng Ye:
Risk-Averse support vector classifier machine via moments penalization. Int. J. Mach. Learn. Cybern. 13(11): 3341-3358 (2022) - 2021
- [j3]Chaoqun Peng, Xinglin Zhang, Zhaojing Ou, Junna Zhang:
Task Planning Considering Location Familiarity in Spatial Crowdsourcing. ACM Trans. Sens. Networks 17(2): 16:1-16:24 (2021) - [i1]Junna Zhang, Shuisheng Zhou, Cui Fu, Zhuan Zhang:
Using Multilevel Circulant Matrix Approximate to Speed Up Kernel Logistic Regression. CoRR abs/2108.08605 (2021) - 2020
- [j2]Peiyan Yuan, Yunyun Cai, Yihang Liu, Junna Zhang, Yali Wang, Xiaoyan Zhao:
ProRec: a unified content caching and replacement framework for mobile edge computing. Wirel. Networks 26(4): 2929-2941 (2020) - [c2]Junna Zhang, Xiaoyan Zhao:
An Overview of User-Oriented Computation Offloading in Mobile Edge Computing. SERVICES 2020: 75-76
2010 – 2019
- 2018
- [j1]Junna Zhang, Ao Zhou, Qibo Sun, Shangguang Wang, Fangchun Yang:
Overview on Fault Tolerance Strategies of Composite Service in Service Computing. Wirel. Commun. Mob. Comput. 2018: 9787503:1-9787503:8 (2018) - 2016
- [c1]Junna Zhang, Shangguang Wang, Qibo Sun, Fangchun Yang:
Tradeoff between executing time and revenue for runtime service composition. IWQoS 2016: 1-2
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