Heng Zhang

Orcid: 0000-0003-4874-6162

According to our database1, Heng Zhang authored at least 13 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Fine-Grained Spatio-Temporal Distribution Prediction of Mobile Content Delivery in 5G Ultra-Dense Networks.
IEEE Trans. Mob. Comput., January, 2024

Large-Scale Measurements and Optimizations on Latency in Edge Clouds.
IEEE Trans. Cloud Comput., 2024

QM-RGNN: An Efficient Online QoS Measurement Framework with Sparse Matrix Imputation for Distributed Edge Clouds.
Proceedings of the IEEE INFOCOM 2024, 2024

Seer: Proactive Revenue-Aware Scheduling for Live Streaming Services in Crowdsourced Cloud-Edge Platforms.
Proceedings of the IEEE INFOCOM 2024, 2024

2023
A Measurement-Driven Analysis and Prediction of Content Propagation in the Device-to-Device Social Networks.
IEEE Trans. Knowl. Data Eng., August, 2023

One for All: Unified Workload Prediction for Dynamic Multi-tenant Edge Cloud Platforms.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

How Far Have Edge Clouds Gone? A Spatial-Temporal Analysis of Edge Network Latency In the Wild.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

2022
MF-GCN-LSTM: a cloud-edge distributed framework for key positions prediction in grid projects.
J. Cloud Comput., 2022

Multitask Offloading Strategy Optimization Based on Directed Acyclic Graphs for Edge Computing.
IEEE Internet Things J., 2022

2021
Spatial-Temporal-Correlation Multi-Feature-based Project Engineering and Prediction in Smart Grid.
Proceedings of the IEEE International Conference on Smart Internet of Things, 2021

Spatio-Temporal-Social Multi-Feature-based Fine-Grained Hot Spots Prediction for Content Delivery Services in 5G Era.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
D2D-LSTM: LSTM-Based Path Prediction of Content Diffusion Tree in Device-to-Device Social Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2017
Exploit dynamic data flows to protect software against semantic attacks.
Proceedings of the 2017 IEEE SmartWorld, 2017


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