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Jiangjiang Zhang
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Journal Articles
- 2024
- [j23]Jiangjiang Zhang
, Bei Gong
, Qian Wang
, Yong Wu, Guiping Zheng
:
An Intelligent Edge Dual-Structure Ensemble Method for Data Stream Detection and Releasing. IEEE Internet Things J. 11(1): 863-879 (2024) - [j22]Jiangjiang Zhang
, Zhenhu Ning
, Muhammad Waqas
, Hisham Alasmary
, Shanshan Tu
, Sheng Chen
:
Hybrid Edge-Cloud Collaborator Resource Scheduling Approach Based on Deep Reinforcement Learning and Multiobjective Optimization. IEEE Trans. Computers 73(1): 192-205 (2024) - [j21]Jiangjiang Zhang
, Zhenhu Ning, Raja Hashim Ali, Muhammad Waqas
, Shanshan Tu
, Iftekhar Ahmad
:
A Many-Objective Ensemble Optimization Algorithm for the Edge Cloud Resource Scheduling Problem. IEEE Trans. Mob. Comput. 23(2): 1330-1346 (2024) - 2023
- [j20]Tao Ye, Wenting Li, Jiangjiang Zhang
, Zhihua Cui
:
A novel multi-objective immune optimization algorithm for under sampling software defect prediction problem. Concurr. Comput. Pract. Exp. 35(4) (2023) - [j19]Jiangjiang Zhang, Zhenhu Ning, Fei Xue:
A two-stage federated optimization algorithm for privacy computing in Internet of Things. Future Gener. Comput. Syst. 145: 354-366 (2023) - [j18]Jiangjiang Zhang, Zhenhu Ning, Hangrui Cao:
An intelligent trusted edge data production method for distributed Internet of things. Neural Comput. Appl. 35(29): 21333-21347 (2023) - [j17]Jiangjiang Zhang
, Bei Gong
, Muhammad Waqas
, Shanshan Tu
, Sheng Chen
:
Many-Objective Optimization Based Intrusion Detection for in-Vehicle Network Security. IEEE Trans. Intell. Transp. Syst. 24(12): 15051-15065 (2023) - [j16]Jiangjiang Zhang
, Bei Gong
, Muhammad Waqas
, Shanshan Tu
, Zhu Han
:
A Hybrid Many-Objective Optimization Algorithm for Task Offloading and Resource Allocation in Multi-Server Mobile Edge Computing Networks. IEEE Trans. Serv. Comput. 16(5): 3101-3114 (2023) - 2022
- [j15]Di Wu, Jiangjiang Zhang, Shaojin Geng, Xingjuan Cai
:
A coordinated many-objective evolutionary algorithm using random adaptive parameters. Appl. Intell. 52(7): 7248-7270 (2022) - [j14]Rui Mu
, Bei Gong, Zhenhu Ning
, Jiangjiang Zhang
, Yang Cao
, Zheng Li
, Wei Wang, Xiaoping Wang:
An identity privacy scheme for blockchain-based on edge computing. Concurr. Comput. Pract. Exp. 34(1) (2022) - 2021
- [j13]Zhihua Cui, Jiangjiang Zhang
:
A hybrid many-objective optimization algorithm for coal green production problem. Concurr. Comput. Pract. Exp. 33(6) (2021) - [j12]Tingting Dong
, Fei Xue, Chuangbai Xiao, Jiangjiang Zhang:
Workflow scheduling based on deep reinforcement learning in the cloud environment. J. Ambient Intell. Humaniz. Comput. 12(12): 10823-10835 (2021) - [j11]Xingjuan Cai
, Jiangjiang Zhang
, Zhenhu Ning, Zhihua Cui, Jinjun Chen
:
A Many-Objective Multistage Optimization-Based Fuzzy Decision-Making Model for Coal Production Prediction. IEEE Trans. Fuzzy Syst. 29(12): 3665-3675 (2021) - 2020
- [j10]Zhixia Zhang, Jie Wen, Jiangjiang Zhang
, Xingjuan Cai, Liping Xie:
A Many Objective-Based Feature Selection Model for Anomaly Detection in Cloud Environment. IEEE Access 8: 60218-60231 (2020) - [j9]Xingjuan Cai, Yun Niu, Shaojin Geng
, Jiangjiang Zhang
, Zhihua Cui, Jianwei Li, Jinjun Chen:
An under-sampled software defect prediction method based on hybrid multi-objective cuckoo search. Concurr. Comput. Pract. Exp. 32(5) (2020) - [j8]Zhihua Cui, Jiangjiang Zhang
, Di Wu, Xingjuan Cai
, Hui Wang
, Wensheng Zhang, Jinjun Chen:
Hybrid many-objective particle swarm optimization algorithm for green coal production problem. Inf. Sci. 518: 256-271 (2020) - 2019
- [j7]Jiangjiang Zhang
, Zhihua Cui, Yechuang Wang, Hui Wang
, Xingjuan Cai, Jinjun Chen, Wuzhao Li:
A Coupling Approach With GSO-BFOA for Many-Objective Optimization. IEEE Access 7: 120248-120261 (2019) - [j6]Zhihua Cui, Jiangjiang Zhang, Yechuang Wang, Yang Cao, Xingjuan Cai, Wensheng Zhang, Jinjun Chen:
A pigeon-inspired optimization algorithm for many-objective optimization problems. Sci. China Inf. Sci. 62(7): 70212:1-70212:3 (2019) - [j5]Jiangjiang Zhang
, Fei Xue, Xingjuan Cai, Zhihua Cui, Yu Chang, Wensheng Zhang, Wuzhao Li:
Privacy protection based on many-objective optimization algorithm. Concurr. Comput. Pract. Exp. 31(20) (2019) - [j4]Junyan Wang, Jiangjiang Zhang, Xingjuan Cai, Yanyan Ma:
Demand estimation of water resources based on algorithm comparison. Int. J. Wirel. Mob. Comput. 16(2): 110-116 (2019) - [j3]Yechuang Wang, Penghong Wang, Jiangjiang Zhang, Xingjuan Cai, Wuchao Li, Yanyan Ma:
A novel DV-Hop method based on coupling algorithm used for wireless sensor network localisation. Int. J. Wirel. Mob. Comput. 16(2): 128-137 (2019) - [j2]Xingjuan Cai
, Jiangjiang Zhang, Hao Liang, Lei Wang, Qidi Wu:
An ensemble bat algorithm for large-scale optimization. Int. J. Mach. Learn. Cybern. 10(11): 3099-3113 (2019) - [j1]Zhihua Cui, Yu Chang, Jiangjiang Zhang, Xingjuan Cai, Wensheng Zhang:
Improved NSGA-III with selection-and-elimination operator. Swarm Evol. Comput. 49: 23-33 (2019)
Conference and Workshop Papers
- 2021
- [c6]Tingting Dong, Fei Xue, Changbai Xiao, Jiangjiang Zhang:
Deep Reinforcement Learning for Dynamic Workflow Scheduling in Cloud Environment. SCC 2021: 107-115 - [c5]Jiangjiang Zhang, Zhenhu Ning, Kun Zhang, Naixin Kang:
A Multi-objective Optimization Algorithm for Wireless Sensor Network Energy Balance Problem in Internet of Things. BIC-TA (1) 2021: 18-27 - [c4]Jiangjiang Zhang, Zhenhu Ning, Shiqiang Zhang, Yinggang Liu, Yanbo Ma:
Compressed Sensing Spare Reconstruction Optimization based on the NNIA. ICBDC 2021: 154-160 - 2019
- [c3]Fan Yang
, Shining Li, Jiangjiang Zhang, Shaoqing Xu, Li Cong, Yinghai An:
STARLIT: 3D indoor positioning with smartphones and reflection light. ACM TUR-C 2019: 19:1-19:5 - [c2]Di Wu, Jiangjiang Zhang, Shaojin Geng, Xingjuan Cai, Guoyou Zhang:
A Multi-objective Bat Algorithm for Software Defect Prediction. BIC-TA (1) 2019: 269-283 - [c1]Di Wu, Jiangjiang Zhang, Shaojin Geng, Yeqing Ren, Xingjuan Cai, Guoyou Zhang:
A Parallel Computing Optimization Algorithm Based on Many-Objective. HPCC/SmartCity/DSS 2019: 1845-1850
Informal and Other Publications
- 2020
- [i1]Jiangjiang Zhang, Qiang Zheng, Laosheng Wu, Lingzao Zeng:
Using Deep Learning to Improve Ensemble Smoother: Applications to Subsurface Characterization. CoRR abs/2002.09100 (2020)
Coauthor Index
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