Hong Zhang

30 papers A 1B 8C 1Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
ECO-V2G: Joint Optimization of EV Charging, Discharging, and Task Offloading in V2G Networks With Heuristic McCormick.
IEEE Trans. Veh. Technol.
Mingyu Zhang, Miao Wang, Fengjie Li, Liqiang Wang, Hong Zhang
2025 J jnl
An Efficient Privacy-Enhanced Federated Learning With Single-Key Homomorphic Encryption.
IEEE Internet Things J.
Yilong Liu, Hong Zhang, Miao Wang, Qiqi Xie, Liqiang Wang
2025 J jnl
An Improved CP-ABE Scheme With Black-Box Traceability Based on Logical Location for Cloud-Based VANETs.
IEEE Internet Things J.
Mengxiong Wang, Miao Wang, Liqiang Wang, Xiaoliang Zhang, Hong Zhang
2025 J jnl
Enhanced RIS-assisted vehicular network with TDMA and Bayesian Compressive Sensing-based channel estimation.
Comput. Networks
Xiaoliang Zhang, Miao Wang, Mengxiong Wang, Liqiang Wang, Hong Zhang
2025 J jnl
MIEC: A magnetism-inspired framework for MS deployment and joint task offloading and resource allocation optimization in LMREC.
Veh. Commun.
Mingyu Zhang, Zhibo Sun, Fengjie Li, Hong Zhang
2025 J jnl
Onboard Edge Computing: Optimizing Resource Allocation and Offloading in Mobile Scenarios.
IEEE Internet Things J.
Zijian Chen, Hong Zhang, Miao Wang, Liqiang Wang, Lei Zhang
2025 J jnl
Optimizing vehicle edge computing task offloading at intersections: a fuzzy decision-making approach.
J. Supercomput.
Lei Zhang, Miao Wang, Liqiang Wang, Zijian Chen, Hong Zhang
2025 J jnl
SecureLoc: A fully homomorphic encryption-based privacy protection scheme for location-based services.
J. Inf. Secur. Appl.
Qiqi Xie, Hong Zhang, Liqiang Wang, Miao Wang, Wanqing Wu, Yilong Liu
2024 J jnl
A GPU-free license plate detection based on fused color-edge and Retina approach.
Multim. Tools Appl.
Penghai Wang, Zihan Wu, Shouhua Zhang, Hong Zhang
2024 B conf
Community-aware graph debiased contrastive representation learning.
IJCNN
Peng Wu, Hong Zhang, Miao Wang, Liqiang Wang, Meng Wang, Mingyang Lv
2024 B conf
Democratic Learning: A Distributed Machine Learning Framework with Collaborative Voting and Model Pruning for Privacy and Security.
IJCNN
Mingyang Lv, Hong Zhang, Miao Wang, Liqiang Wang, Peng Wu
2024 — conf
Efficient Deadlock Detection in MPI Programs with Path Compression and Focus Matching.
Internetware
Jiale Hao, Meng Wang, Hong Zhang
2024 C conf
Privacy-Enhanced Federated Learning Through Homomorphic Encryption With Cloud Federation.
ISPA
Qiqi Xie, Hong Zhang, Miao Wang, Wanqing Wu, Zhibo Sun
2023 J jnl
A Multimodel Edge Computing Offloading Framework for Deep-Learning Application Based on Bayesian Optimization.
IEEE Internet Things J.
Zidi Zhao, Hong Zhang, Liqiang Wang, Haijun Huang
2023 J jnl
A traceable and verifiable CP-ABE scheme with blockchain in VANET.
J. Supercomput.
Haijun Huang, Hong Zhang, Zidi Zhao, Shouhua Zhang
2023 — conf
SPOAHA: Spark Program Optimizer Based on Artificial Hummingbird Algorithm.
KSEM (3)
Miao Wang, Jiteng Zhen, Yupeng Ma, Xu Huang, Hong Zhang
2022 J jnl
A Novel Reinforcement Learning Approach for Spark Configuration Parameter Optimization.
Sensors
Xu Huang, Hong Zhang, Xiaomeng Zhai
2022 J jnl
Graph partitioning strategies: one size does not fit all.
J. Supercomput.
Xiaomeng Zhai, Hong Zhang, Xu Huang, Shouhua Zhang
2022 J jnl
RTIDS: A Robust Transformer-Based Approach for Intrusion Detection System.
IEEE Access
Zihan Wu, Hong Zhang, Penghai Wang, Zhibo Sun
2021 B conf
SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis.
CLOUD
Bingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang Wang
2021 J jnl
SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis.
CoRR
Bingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang Wang
2019 J jnl
Meteor: Optimizing spark-on-yarn for short applications.
Future Gener. Comput. Syst.
Hong Zhang, Hai Huang, Liqiang Wang
2018 — conf
A Reinforcement Learning Based Resource Management Approach for Time-critical Workloads in Distributed Computing Environment.
IEEE BigData
Zixia Liu, Hong Zhang, Bingbing Rao, Liqiang Wang
2018 — conf
FTSGD: An Adaptive Stochastic Gradient Descent Algorithm for Spark MLlib.
DASC/PiCom/DataCom/CyberSciTech
Hong Zhang, Zixia Liu, Hai Huang, Liqiang Wang
2018 B conf
Tuning Performance of Spark Programs.
IC2E
Hong Zhang, Zixia Liu, Liqiang Wang
2017 B conf
Hierarchical Spark: A Multi-Cluster Big Data Computing Framework.
CLOUD
Zixia Liu, Hong Zhang, Liqiang Wang
2017 A conf
MRapid: An Efficient Short Job Optimizer on Hadoop.
IPDPS
Hong Zhang, Hai Huang, Liqiang Wang
2016 B conf
Migrating GIS Big Data Computing from Hadoop to Spark: An Exemplary Study Using Twitter.
CLOUD
Zhibo Sun, Hong Zhang, Zixia Liu, Chen Xu, Liqiang Wang
2015 B conf
Dart: A Geographic Information System on Hadoop.
CLOUD
Hong Zhang, Zhibo Sun, Zixia Liu, Chen Xu, Liqiang Wang
2014 B conf
SMARTH: Enabling Multi-pipeline Data Transfer in HDFS.
ICPP
Hong Zhang, Liqiang Wang, Hai Huang