Hong Zhang

According to our database, Hong Zhang authored at least 26 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

An Efficient Privacy-Enhanced Federated Learning With Single-Key Homomorphic Encryption.

Yilong Liu, Hong Zhang, Miao Wang, Qiqi Xie, Liqiang Wang

IEEE Internet Things J., July, 2025

Optimizing vehicle edge computing task offloading at intersections: a fuzzy decision-making approach.

Lei Zhang, Miao Wang, Liqiang Wang, Zijian Chen, Hong Zhang

J. Supercomput., January, 2025

MIEC: A magnetism-inspired framework for MS deployment and joint task offloading and resource allocation optimization in LMREC.

Mingyu Zhang, Zhibo Sun, Fengjie Li, Hong Zhang

Veh. Commun., 2025

Onboard Edge Computing: Optimizing Resource Allocation and Offloading in Mobile Scenarios.

Zijian Chen, Hong Zhang, Miao Wang, Liqiang Wang, Lei Zhang

IEEE Internet Things J., 2025

Enhanced RIS-assisted vehicular network with TDMA and Bayesian Compressive Sensing-based channel estimation.

Xiaoliang Zhang, Miao Wang, Mengxiong Wang, Liqiang Wang, Hong Zhang

Comput. Networks, 2025

2024

A GPU-free license plate detection based on fused color-edge and Retina approach.

Penghai Wang, Zihan Wu, Shouhua Zhang, Hong Zhang

Multim. Tools Appl., 2024

Privacy-Enhanced Federated Learning Through Homomorphic Encryption With Cloud Federation.

Qiqi Xie, Hong Zhang, Miao Wang, Wanqing Wu, Zhibo Sun

Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

Efficient Deadlock Detection in MPI Programs with Path Compression and Focus Matching.

Jiale Hao, Meng Wang, Hong Zhang

Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024

Community-aware graph debiased contrastive representation learning.

Peng Wu, Hong Zhang, Miao Wang, Liqiang Wang, Meng Wang, Mingyang Lv

Proceedings of the International Joint Conference on Neural Networks, 2024

Democratic Learning: A Distributed Machine Learning Framework with Collaborative Voting and Model Pruning for Privacy and Security.

Mingyang Lv, Hong Zhang, Miao Wang, Liqiang Wang, Peng Wu

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

A traceable and verifiable CP-ABE scheme with blockchain in VANET.

Haijun Huang, Hong Zhang, Zidi Zhao, Shouhua Zhang

J. Supercomput., October, 2023

A Multimodel Edge Computing Offloading Framework for Deep-Learning Application Based on Bayesian Optimization.

Zidi Zhao, Hong Zhang, Liqiang Wang, Haijun Huang

IEEE Internet Things J., October, 2023

SPOAHA: Spark Program Optimizer Based on Artificial Hummingbird Algorithm.

Miao Wang, Jiteng Zhen, Yupeng Ma, Xu Huang, Hong Zhang

Proceedings of the Knowledge Science, Engineering and Management, 2023

2022

Graph partitioning strategies: one size does not fit all.

Xiaomeng Zhai, Hong Zhang, Xu Huang, Shouhua Zhang

J. Supercomput., 2022

A Novel Reinforcement Learning Approach for Spark Configuration Parameter Optimization.

Xu Huang, Hong Zhang, Xiaomeng Zhai

Sensors, 2022

RTIDS: A Robust Transformer-Based Approach for Intrusion Detection System.

Zihan Wu, Hong Zhang, Penghai Wang, Zhibo Sun

IEEE Access, 2022

2021

SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis.

Bingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang Wang

Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2019

Meteor: Optimizing spark-on-yarn for short applications.

Hong Zhang, Hai Huang, Liqiang Wang

Future Gener. Comput. Syst., 2019

2018

Tuning Performance of Spark Programs.

Hong Zhang, Zixia Liu, Liqiang Wang

Proceedings of the 2018 IEEE International Conference on Cloud Engineering, 2018

FTSGD: An Adaptive Stochastic Gradient Descent Algorithm for Spark MLlib.

Hong Zhang, Zixia Liu, Hai Huang, Liqiang Wang

Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018

A Reinforcement Learning Based Resource Management Approach for Time-critical Workloads in Distributed Computing Environment.

Zixia Liu, Hong Zhang, BingBing Rao, Liqiang Wang

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

MRapid: An Efficient Short Job Optimizer on Hadoop.

Hong Zhang, Hai Huang, Liqiang Wang

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

Hierarchical Spark: A Multi-Cluster Big Data Computing Framework.

Zixia Liu, Hong Zhang, Liqiang Wang

Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017

2016

Migrating GIS Big Data Computing from Hadoop to Spark: An Exemplary Study Using Twitter.

Zhibo Sun, Hong Zhang, Zixia Liu, Chen Xu, Liqiang Wang

Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2015

Dart: A Geographic Information System on Hadoop.

Hong Zhang, Zhibo Sun, Zixia Liu, Chen Xu, Liqiang Wang

Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014

SMARTH: Enabling Multi-pipeline Data Transfer in HDFS.

Hong Zhang, Liqiang Wang, Hai Huang

Proceedings of the 43rd International Conference on Parallel Processing, 2014