Qiang He

According to our database, Qiang He authored at least 76 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Computation Offloading in Resource-Constrained Multi-Access Edge Computing.

Kexin Li, Xingwei Wang, Qiang He, Jielei Wang, Jie Li, Siyu Zhan, Guoming Lu, Schahram Dustdar

IEEE Trans. Mob. Comput., November, 2024

An Efficient Rumor Suppression Approach With Knowledge Graph Convolutional Network in Social Network.

Fei Gao, Qiang He, Xingwei Wang, Lin Qiu, Min Huang

IEEE Trans. Comput. Soc. Syst., October, 2024

Securing IoT Data: FDUP-RDIC - A Fully Decentralized Approach for Privacy-Preserving and Efficient Data Integrity.

Su Peng, Neeraj Kumar, Saeed Hamood Alsamhi, Qiang He, Liang Zhao

IEEE Internet Things J., October, 2024

Joint Data Offloading and Energy-Efficient Secure MEC Resource Allocation Method for IoT Device Data in RAN Communication.

Qiang He, Ji Li, Xiaogang Zhu, Alireza Jolfaei, Zheng Feng, Amr Tolba, Keping Yu, Yukai Fu

IEEE Trans. Green Commun. Netw., September, 2024

Knowledge-Defined Edge Computing Networks Assisted Long-Term Optimization of Computation Offloading and Resource Allocation Strategy.

Kaiqi Yang, Xingwei Wang, Qiang He, Liang Zhao, Yufei Liu, Daniele Tarchi

IEEE Trans. Wirel. Commun., June, 2024

Single-Domain Generalized Predictor for Neural Architecture Search System.

Lianbo Ma, Haidong Kang, Guo Yu, Qing Li, Qiang He

IEEE Trans. Computers, May, 2024

A Blockchain-Based Scheme for Secure Data Offloading in Healthcare With Deep Reinforcement Learning.

Qiang He, Zheng Feng, Hui Fang, Xing-Wei Wang, Liang Zhao, Yudong Yao, Keping Yu

IEEE/ACM Trans. Netw., February, 2024

Routing Optimization With Deep Reinforcement Learning in Knowledge Defined Networking.

Qiang He, Yu Wang, Xingwei Wang, Weiqiang Xu, Fuliang Li, Kaiqi Yang, Lianbo Ma

IEEE Trans. Mob. Comput., February, 2024

Traffic Prediction-Based VNF Auto-Scaling and Deployment Mechanism for Flexible and Elastic Service Provision.

Bo Yi, Jiacheng Wang, Qiang He, Xingwei Wang, Min Huang, Sajal K. Das, Keqin Li

IEEE Trans. Serv. Comput., 2024

Multi-Feature Rumor Suppression Mechanism Based on Community Division in Social Networks.

Fei Gao, Xingwei Wang, Qiang He

IEEE Trans. Netw. Sci. Eng., 2024

Service recommendation in JointCloud environments: An efficient regret theory-based Qos-aware approach.

Jianzhi Shi, Rou Rao, Yang Song, Xingwei Wang, Bo Yi, Qiang He, Chao Zeng, Min Huang, Sajal K. Das

Comput. Networks, 2024

2023

Enhancing Resource Sharing and Access Control for VNF Instantiation with Blockchain.

Anwei Dong, Xingwei Wang, Bo Yi, Qiang He, Min Huang

Sensors, December, 2023

An Influence Maximization-Based Hybrid Advertising Dissemination for Internet of Vehicles.

Junfang Zheng, Junling Shi, Qiang He, Enchao Zhang, Ammar Hawbani, Liang Zhao

IEEE Netw. Lett., December, 2023

Adaptive Bipartite Event-Triggered Time-Varying Output Formation Tracking of Heterogeneous Linear Multi-Agent Systems Under Signed Directed Graph.

Yuliang Cai, Huaguang Zhang, Zhiyun Gao, Yang Liu, Qiang He

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Graph Convolutional Network-Based Rumor Blocking on Social Networks.

Qiang He, Dafeng Zhang, Xingwei Wang, Lianbo Ma, Yong Zhao, Fei Gao, Min Huang

IEEE Trans. Comput. Soc. Syst., October, 2023

An Entropy Weighted Nonnegative Matrix Factorization Algorithm for Feature Representation.

Jiao Wei, Can Tong, Bingxue Wu, Qiang He, Shouliang Qi, Yudong Yao, Yueyang Teng

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Computation Offloading for Tasks With Bound Constraints in Multiaccess Edge Computing.

Kexin Li, Xingwei Wang, Qiang He, Qiang Ni, Mingzhou Yang, Schahram Dustdar

IEEE Internet Things J., September, 2023

Rumors Suppression in Healthcare System: Opinion-Based Comprehensive Learning Particle Swarm Optimization.

Qiang He, Wei Qiao, Ali Kashif Bashir, Yuliang Cai, Laisen Nie, Yasser D. Al-Otaibi, Keping Yu

IEEE Trans. Comput. Soc. Syst., August, 2023

Improving the identification of miRNA-disease associations with multi-task learning on gene-disease networks.

Qiang He, Wei Qiao, Hui Fang, Yang Bao

Briefings Bioinform., July, 2023

Reinforcement-Learning-Based Dynamic Opinion Maximization Framework in Signed Social Networks.

Qiang He, Yingjie Lv, Xingwei Wang, Jianhua Li, Min Huang, Lianbo Ma, Yuliang Cai

IEEE Trans. Cogn. Dev. Syst., March, 2023

A complex network-based vaccination strategy for infectious diseases.

Lihong Sun, Qiang He, Yueyang Teng, Qi Zhao, Xin Yan, Xingwei Wang

Appl. Soft Comput., March, 2023

Task Computation Offloading for Multi-Access Edge Computing via Attention Communication Deep Reinforcement Learning.

Kexin Li, Xingwei Wang, Qiang He, Mingzhou Yang, Min Huang, Schahram Dustdar

IEEE Trans. Serv. Comput., 2023

Dynamic Opinion Maximization Framework With Hybrid Method in Social Networks.

Qiang He, Xin Yan, Xingwei Wang, Tianhang Nan, Zhixue Chen, Xuan He, Min Huang

IEEE Trans. Netw. Sci. Eng., 2023

Dynamic Opinion Maximization in Social Networks.

Qiang He, Hui Fang, Jie Zhang, Xingwei Wang

IEEE Trans. Knowl. Data Eng., 2023

The Bipartite Edge-Based Event-Triggered Output Tracking of Heterogeneous Linear Multiagent Systems.

Yuliang Cai, Huaguang Zhang, Hanguang Su, Juan Zhang, Qiang He

IEEE Trans. Cybern., 2023

Computation Migration Oriented Resource Allocation in Mobile Social Clouds.

Bo Yi, Xingwei Wang, Min Huang, Qiang He, Fuliang Li

IEEE Trans. Cloud Comput., 2023

Self-supervised Noise2noise Method Utilizing Corrupted Images with a Modular Network for LDCT Denoising.

Yuting Zhu, Qiang He, Yudong Yao, Yueyang Teng

CoRR, 2023

Quadratic Graph Attention Network (Q-GAT) for Robust Construction of Gene Regulatory Networks.

Hui Zhang, Xuexin An, Qiang He, Yudong Yao, Fenglei Fan, Yueyang Teng

CoRR, 2023

Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks.

Xin Yan, Hui Fang, Qiang He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Blockchain-based Resource Access Control and Sharing Mechanism in NFV.

Anwei Dong, Xingwei Wang, Bo Yi, Qiang He

Proceedings of the International Conference on Electronics, 2023

A Genetic Algorithm Based Adaptive Offloading Scheme for Domain Generalization in VEC.

Tianyu Li, Liang Zhao, Chaojin Mao, Na Lin, Qiang He, Xingwei Wang

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2022

Differential Evolution Based Simulated Annealing Method for Vaccination Optimization Problem.

Simiao Chen, Qiang He, Chensheng Zheng, Lihong Sun, Xingwei Wang, Lianbo Ma, Yuliang Cai

IEEE Trans. Netw. Sci. Eng., 2022

Adaptive Bipartite Fixed-Time Time-Varying Output Formation-Containment Tracking of Heterogeneous Linear Multiagent Systems.

Yuliang Cai, Huaguang Zhang, Yingchun Wang, Zhiyun Gao, Qiang He

IEEE Trans. Neural Networks Learn. Syst., 2022

A Novel Evolutionary Algorithm Based on Judgment-Rule Evolution Strategy for Structural Balance in Signed Social Networks.

Mingzhou Yang, Xingwei Wang, Min Huang, Lianbo Ma, Qiang He

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Distributed Bipartite Adaptive Event-Triggered Fault-Tolerant Consensus Tracking for Linear Multiagent Systems Under Actuator Faults.

Yuliang Cai, Huaguang Zhang, Weihua Li, Yunfei Mu, Qiang He

IEEE Trans. Cybern., 2022

Reinforcement-Learning-Based Competitive Opinion Maximization Approach in Signed Social Networks.

Qiang He, Xingwei Wang, Yong Zhao, Bo Yi, Xijia Lu, Mingzhou Yang, Min Huang

IEEE Trans. Comput. Soc. Syst., 2022

A hybrid optimization algorithm for structural balance model based on influence between nodes and community quality.

Mingzhou Yang, Xingwei Wang, Lianbo Ma, Qiang He, Kexin Li, Min Huang

Swarm Evol. Comput., 2022

Reinforcement Learning-Based Rumor Blocking Approach in Directed Social Networks.

Qiang He, Yingjie Lv, Xingwei Wang, Min Huang, Yuliang Cai

IEEE Syst. J., 2022

A promotive structural balance model based on reinforcement learning for signed social networks.

Mingzhou Yang, Xingwei Wang, Lianbo Ma, Qiang He, Min Huang

Neural Comput. Appl., 2022

A QoS Based Reliable Routing Mechanism for Service Customization.

Bo Yi, Xingwei Wang, Min Huang, Qiang He

J. Comput. Sci. Technol., 2022

Cooperative Multiagent Deep Reinforcement Learning for Computation Offloading: A Mobile Network Operator Perspective.

Kexin Li, Xingwei Wang, Qiang He, Bo Yi, Andrea Morichetta, Min Huang

IEEE Internet Things J., 2022

Adaptive Weighted Nonnegative Matrix Factorization for Robust Feature Representation.

Tingting Shen, Junhang Li, Can Tong, Qiang He, Chen Li, Yudong Yao, Yueyang Teng

CoRR, 2022

Improving the Level of Autism Discrimination through GraphRNN Link Prediction.

Haonan Sun, Qiang He, Shouliang Qi, Yudong Yao, Yueyang Teng

CoRR, 2022

Improving the level of autism discrimination with augmented data by GraphRNN.

Haonan Sun, Qiang He, Shouliang Qi, Yudong Yao, Yueyang Teng

Comput. Biol. Medicine, 2022

IA-DD: An SDN Topological Poisoning Attack Defense Scheme Based on Blockchain.

Bin Gu, Xingwei Wang, Kaiqi Yang, Yu Wang, Qiang He

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

Cultural Resource Recommender System with Knowledge Graph Convolutional Network.

Dafeng Zhang, Xingwei Wang, Qiang He, Fei Gao, Bo Yi, Min Huang

Proceedings of the 4th International Conference on Data Intelligence and Security, 2022

Reinforcement Learning Based MEC Architecturewith Energy-Efficient Optimization for ARANs.

Qiang He, Yingjie Lv, Li Zhen, Keping Yu

Proceedings of the IEEE International Conference on Communications, 2022

2021

PLOFR: An Online Flow Route Framework for Power Saving and Load Balance in SDN.

Yong Zhao, Xingwei Wang, Qiang He, Chuangchuang Zhang, Min Huang

IEEE Syst. J., 2021

Deep Learning-Based Traffic Prediction for Energy Efficiency Optimization in Software-Defined Networking.

Xiangyi Chen, Xingwei Wang, Bo Yi, Qiang He, Min Huang

IEEE Syst. J., 2021

Multi-stage opinion maximization in social networks.

Qiang He, Xingwei Wang, Min Huang, Bo Yi

Neural Comput. Appl., 2021

Balancing performance between the decision space and the objective space in multimodal multiobjective optimization.

Qite Yang, Zhenkun Wang, Jianping Luo, Qiang He

Memetic Comput., 2021

Distributed fault-tolerant output regulation for heterogeneous linear multi-agent systems under actuator faults.

Yuliang Cai, Huaguang Zhang, Juan Zhang, Shaoxin Sun, Qiang He

J. Frankl. Inst., 2021

Fixed-time time-varying formation tracking for nonlinear multi-agent systems under event-triggered mechanism.

Yuliang Cai, Huaguang Zhang, Yingchun Wang, Juan Zhang, Qiang He

Inf. Sci., 2021

Positive opinion maximization in signed social networks.

Qiang He, Lihong Sun, Xingwei Wang, Zhenkun Wang, Min Huang, Bo Yi, Yuantian Wang, Lianbo Ma

Inf. Sci., 2021

Power-Efficient Software-Defined Data Center Network.

Yong Zhao, Xingwei Wang, Qiang He, Bo Yi, Min Huang, Wenlin Cheng

IEEE Internet Things J., 2021

Power optimization with less state transition for green software defined networking.

Yong Zhao, Xingwei Wang, Chuangchuang Zhang, Qiang He, Min Huang

Future Gener. Comput. Syst., 2021

A security-driven network architecture for routing in industrial Internet of Things.

Jian Cao, Xingwei Wang, Min Huang, Bo Yi, Qiang He

Trans. Emerg. Telecommun. Technol., 2021

TEAP: Traffic Engineering and ALR policy based Power-aware solutions for green routing and planning problems in backbone networks.

Jinhong Zhang, Xingwei Wang, Qiang He, Min Huang

Comput. Commun., 2021

2020

Opinion Maximization Through Unknown Influence Power in Social Networks Under Weighted Voter Model.

Qiang He, Xingwei Wang, Bo Yi, Fubing Mao, Yuliang Cai, Min Huang

IEEE Syst. J., 2020

Axiomatic fuzzy set theory-based fuzzy oblique decision tree with dynamic mining fuzzy rules.

Yuliang Cai, Huaguang Zhang, Shaoxin Sun, Xianchang Wang, Qiang He

Neural Comput. Appl., 2020

CAOM: A community-based approach to tackle opinion maximization for social networks.

Qiang He, Xingwei Wang, Fubing Mao, Jianhui Lv, Yuliang Cai, Min Huang, Qingzheng Xu

Inf. Sci., 2020

Energy efficient network service deployment across multiple SDN domains.

Chuangchuang Zhang, Xingwei Wang, Anwei Dong, Yong Zhao, Qiang He, Min Huang

Comput. Commun., 2020

An improved network structural balance approach based on weighted node-to-node influence with evolutionary algorithm.

Mingzhou Yang, Lianbo Ma, Xingwei Wang, Min Huang, Qiang He

Appl. Soft Comput., 2020

A novel framework of fuzzy oblique decision tree construction for pattern classification.

Yuliang Cai, Huaguang Zhang, Qiang He, Jie Duan

Appl. Intell., 2020

Match making in complex social networks.

Fubing Mao, Lijia Ma, Qiang He, Gaoxi Xiao

Appl. Math. Comput., 2020

Distributed bipartite finite-time event-triggered output consensus for heterogeneous linear multi-agent systems under directed signed communication topology.

Yuliang Cai, Huaguang Zhang, Yang Liu, Qiang He

Appl. Math. Comput., 2020

2019

New classification technique: fuzzy oblique decision tree.

Yuliang Cai, Huaguang Zhang, Qiang He, Shaoxin Sun

Trans. Inst. Meas. Control, 2019

An effective scheme to address influence maximization for opinion formation in social networks.

Qiang He, Zhencheng Lei, Xingwei Wang, Min Huang, Yuliang Cai

Trans. Emerg. Telecommun. Technol., 2019

TIFIM: A Two-stage Iterative Framework for Influence Maximization in Social Networks.

Qiang He, Xingwei Wang, Zhencheng Lei, Min Huang, Yuliang Cai, Lianbo Ma

Appl. Math. Comput., 2019

2018

Network service chains deployment across multiple SDN domains.

Chuangchuang Zhang, Xingwei Wang, Fuliang Li, Min Huang, Qiang He

Int. J. Commun. Syst., 2018

An adaptive approach for handling two-dimension influence maximization in social networks.

Qiang He, Xingwei Wang, Min Huang, Yuliang Cai, Chuangchuang Zhang, Lianbo Ma

Int. J. Commun. Syst., 2018

Deep learning-based network application classification for SDN.

Chuangchuang Zhang, Xingwei Wang, Fuliang Li, Qiang He, Min Huang

Trans. Emerg. Telecommun. Technol., 2018

OpenFlow-based low-overhead and high-accuracy SDN measurement framework.

Qiang He, Xingwei Wang, Min Huang

Trans. Emerg. Telecommun. Technol., 2018

Heuristics-based influence maximization for opinion formation in social networks.

Qiang He, Xingwei Wang, Min Huang, Jianhui Lv, Lianbo Ma

Appl. Soft Comput., 2018

IIMOF: An Iterative Framework to Settle Influence Maximization for Opinion Formation in Social Networks.

Qiang He, Xingwei Wang, Chuangchuang Zhang, Min Huang, Yong Zhao

IEEE Access, 2018

2016

Indicator-Based Multi-objective Bacterial Foraging Algorithm with Adaptive Searching Mechanism.

Lianbo Ma, Xu Li, Tianhan Gao, Qiang He, Guangming Yang, Ying Liu

Proceedings of the Bio-inspired Computing - Theories and Applications, 2016