Zulong Diao

According to our database, Zulong Diao authored at least 27 papers between 2019 and 2026.

Collaborative distances:

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

2026

KMHCR: A Key-Controlled Signal-Domain Transformation for 5G IoT Security.

Ronglin Zhang, Wei Liang, Jiahong Cai, Yuxiang Chen, Zulong Diao, Zhongming Fu, Jigang Wen, Naixue Xiong, Xiaoyan Chen, Sergey M. Avdoshin

J. Signal Process. Syst., June, 2026

Not All Data are What You Need: A Data-Efficient Training Method Using Heterogeneous Hardware.

Zulong Diao, Mingyu Qiao, Xin Wang, Guangxing Zhang, Wei Liang, Jianguo Chen, Changhua Pei, Yanbiao Li, Zhenyu Li, Gaogang Xie

IEEE Trans. Knowl. Data Eng., May, 2026

SRViT: A Robust Online Encrypted Traffic Classification Based on Vision Transformer.

Chang Liu, Lei Han, Zulong Diao, Zheng Wu, Xin He, Weibei Fan, Fu Xiao

IEEE Trans. Netw., 2026

FedAHPIP: Federated Learning with Adaptive Hot Parameter Identification and Personalized Anchoring for multi-agent collaboration.

Cangming Liang, Zulong Diao, Xin Wang, Yingzi Huo, Kuanching Li, Dacheng He, Wei Liang

J. Ind. Inf. Integr., 2026

Personalized Hierarchical Federated Learning Framework for the Internet of Vehicles Based on Split Meta-Learning.

Rui Xie, Wei Liang, Zulong Diao, Xiangwei Meng, Kuanching Li

IEEE Internet Things J., 2026

Thales: An orientation-aware AS embedding for anomaly detection in dynamic BGP network.

Zheng Wu, Yaoyu Zhou, Shiyu Liu, Zulong Diao, Yanmeng Wang, Fu Xiao

Comput. Networks, 2026

QGKM: A Quantum Fidelity-Based Graph Clustering Framework for Robust Data Pattern Recognition in Education Social Networks.

Neal N. Xiong, Weiqing Long, Dacheng He, Xiangwei Meng, Zulong Diao, Sergey M. Avdoshin, Yevgeni Koucheryavy

Algorithms, 2026

2025

GraphBGP: BGP Anomaly Detection Based on Dynamic Graph Learning.

Zheng Wu, Yanbiao Li, Xin Wang, Zulong Diao, Weibei Fan, Fu Xiao, Gaogang Xie

IEEE Trans. Inf. Forensics Secur., 2025

A Multi-Feature Semantic Fusion Machine Learning Architecture for Detecting Encrypted Malicious Traffic.

Shiyu Tang, Fei Du, Zulong Diao, Wenjun Fan

J. Cybersecur. Priv., 2025

SCAMA: A Smart-Contract-Driven Asynchronous Model Aggregation Framework for Decentralized Federated Learning.

Mingzhi Mao, Xiangyuan Zhu, Jianguo Chen, Longxin Zhang, Guocheng Liao, Zulong Diao

Proceedings of the 11th IEEE International Conference on High Performance and Smart Computing, 2025

2024

DMSTG: Dynamic Multiview Spatio-Temporal Networks for Traffic Forecasting.

Zulong Diao, Xin Wang, Dafang Zhang, Gaogang Xie, Jianguo Chen, Changhua Pei, Xuying Meng, Kun Xie, Guangxing Zhang

IEEE Trans. Mob. Comput., June, 2024

GraphIoT: Lightweight IoT Device Detection Based on Graph Classifiers and Incremental Learning.

Yansong Yin, Kun Xie, Shiming He, Yanbiao Li, Jigang Wen, Zulong Diao, Dafang Zhang, Gaogang Xie

IEEE Trans. Serv. Comput., 2024

GDI: A Novel IoT Device Identification Framework via Graph Neural Network-Based Tensor Completion.

Haoxuan Wang, Kun Xie, Xin Wang, Jigang Wen, Ruotian Xie, Zulong Diao, Wei Liang, Gaogang Xie, Jiannong Cao

IEEE Trans. Serv. Comput., 2024

2023

Improving the Scalability of Distributed Network Emulations: An Algorithmic Perspective.

Huaiyi Zhao, Xinyi Zhang, Yang Wang, Zulong Diao, Yanbiao Li, Gaogang Xie

IEEE Trans. Netw. Serv. Manag., December, 2023

Cognition: Accurate and Consistent Linear Log Parsing Using Template Correction.

Ran Tian, Zulong Diao, Haiyang Jiang, Gaogang Xie

J. Comput. Sci. Technol., September, 2023

A lightweight deep learning framework for botnet detecting at the IoT edge.

Chongbo Wei, Gaogang Xie, Zulong Diao

Comput. Secur., June, 2023

EC-GCN: A encrypted traffic classification framework based on multi-scale graph convolution networks.

Zulong Diao, Gaogang Xie, Xin Wang, Rui Ren, Xuying Meng, Guangxing Zhang, Kun Xie, Mingyu Qiao

Comput. Networks, April, 2023

Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection.

Haotian Si, Changhua Pei, Zhihan Li, Yadong Zhao, Jingjing Li, Haiming Zhang, Zulong Diao, Jianhui Li, Gaogang Xie, Dan Pei

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Network Flow Based IoT Anomaly Detection Using Graph Neural Network.

Chongbo Wei, Gaogang Xie, Zulong Diao

Proceedings of the Knowledge Science, Engineering and Management, 2023

2022

LogDAC: A Universal Efficient Parser-based Log Compression Approach.

Ran Tian, Zulong Diao, Haiyang Jiang, Gaogang Xie

Proceedings of the IEEE International Conference on Communications, 2022

2021

NeVe: A Log-based Fast Incremental Network Feature Embedding Approach.

Ran Tian, Zulong Diao, Haiyang Jiang, Gaogang Xie

Proceedings of the IEEE Symposium on Computers and Communications, 2021

CyCo: A Temporal Cycle Consistency Based Labeling Method for Time Series Data.

Fengrui Liu, Haiyang Jiang, Zulong Diao, Yanbiao Li, Gaogang Xie

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Quick and Accurate False Data Detection in Mobile Crowd Sensing.

Xiaocan Li, Kun Xie, Xin Wang, Gaogang Xie, Dongliang Xie, Zhenyu Li, Jigang Wen, Zulong Diao, Tian Wang

IEEE/ACM Trans. Netw., 2020

Precise and Adaptable: Leveraging Deep Reinforcement Learning for GAP-based Multipath Scheduler.

Binbin Liao, Guangxing Zhang, Zulong Diao, Gaogang Xie

Proceedings of the 2020 IFIP Networking Conference, 2020

2019

A Hybrid Model for Short-Term Traffic Volume Prediction in Massive Transportation Systems.

Zulong Diao, Dafang Zhang, Xin Wang, Kun Xie, Shaoyao He, Xin Lu, Yanbiao Li

IEEE Trans. Intell. Transp. Syst., 2019

Quick and Accurate False Data Detection in Mobile Crowd Sensing.

Kun Xie, Xiaocan Li, Xin Wang, Gaogang Xie, Dongliang Xie, Zhenyu Li, Jigang Wen, Zulong Diao

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting.

Zulong Diao, Xin Wang, Dafang Zhang, Yingru Liu, Kun Xie, Shaoyao He

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019