Qifeng Tang

Orcid: 0000-0002-1484-8374

According to our database1, Qifeng Tang authored at least 15 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Adaptive edge service deployment in burst load scenarios using deep reinforcement learning.
J. Supercomput., March, 2024

2023
Cost-efficient security-aware scheduling for dependent tasks with endpoint contention in edge computing.
Comput. Commun., November, 2023

Dual Subgraph-Based Graph Neural Network for Friendship Prediction in Location-Based Social Networks.
ACM Trans. Knowl. Discov. Data, April, 2023

Selling the Data Product: Pricing Strategies and Welfare Implications.
Proceedings of the 27th Pacific Asia Conference on Information Systems, 2023

2022
Towards Better Caption Supervision for Object Detection.
IEEE Trans. Vis. Comput. Graph., 2022

Privacy-Preserving Query Scheme (PPQS) for Location-Based Services in Outsourced Cloud.
Secur. Commun. Networks, 2022

Identifying and modeling the dynamic evolution of niche preferences.
Electron. Commer. Res. Appl., 2022

niDts: A New Generation Intelligent Data Trading System.
Proceedings of the 7th IEEE International Conference on Smart Cloud, SmartCloud 2022, 2022

Dynamic Trust-Based Resource Allocation Mechanism for Secure Edge Computing.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2022

2021
Cross-Platform Strong Privacy Protection Mechanism for Review Publication.
Secur. Commun. Networks, 2021

2020
BoR: Toward High-Performance Permissioned Blockchain in RDMA-Enabled Network.
IEEE Trans. Serv. Comput., 2020

2019
RDMA-driven MongoDB: An approach of RDMA enhanced NoSQL paradigm for large-Scale data processing.
Inf. Sci., 2019

Recurrent Tensor Factorization for time-aware service recommendation.
Appl. Soft Comput., 2019

iDiSC: A New Approach to IoT-Data-Intensive Service Components Deployment in Edge-Cloud-Hybrid System.
IEEE Access, 2019

2013
Adaptive Correction Forecasting Approach for Urban Traffic Flow Based on Fuzzy c-Mean Clustering and Advanced Neural Network.
J. Appl. Math., 2013


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