Jielun Zhang

Orcid: 0000-0002-2113-2104

According to our database1, Jielun Zhang authored at least 19 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
KOCO-BENCH: Can Large Language Models Leverage Domain Knowledge in Software Development?
CoRR, January, 2026

KoCo-Bench: Can Large Language Models Leverage Domain Knowledge in Software Development?
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
Signal Classification Recovery Across Domains Using Unsupervised Domain Adaptation.
CoRR, October, 2025

Evaluating Model Resilience to Data Poisoning Attacks: A Comparative Study.
Inf., 2025

A Comprehensive Study on Lightweight Convolution Techniques for Malicious Traffic Synthesis in Diffusion Models.
IEEE Access, 2025

Model-Agnostic Unsupervised Detection of Prompt Injection with Multiscale Perplexity Signatures.
Proceedings of the IEEE Military Communications Conference, 2025

Blockchain-Enabled Distributed Intrusion Detection System for Securing IoT Networks.
Proceedings of the IEEE Military Communications Conference, 2025

2024
Reduced-Overhead CSI Feedback for Massive MIMO through Selective Component Processing.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

Automatic Modulation Recognition Across SNR Variability Via Domain Adversary.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

2023
Seamless Wireless Communication Platform for Internet of Things Applications.
IEEE Wirel. Commun., December, 2023

Sustaining the High Performance of AI-Based Network Traffic Classification Models.
IEEE/ACM Trans. Netw., April, 2023

Towards Detection of Zero-Day Botnet Attack in IoT Networks Using Federated Learning.
Proceedings of the IEEE International Conference on Communications, 2023

2021
A Real Application Enabled Traffic Generator for Networking AI Model Development.
Proceedings of the ICC 2021, 2021

Improvement on a Traffic Data Generator for Networking AI Algorithm Development.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Intelligent and Application-Aware Network Traffic Prediction in Smart Access Gateways.
IEEE Netw., 2020

Autonomous Unknown-Application Filtering and Labeling for DL-based Traffic Classifier Update.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

An Ensemble-based Network Intrusion Detection Scheme with Bayesian Deep Learning.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019
Autonomous Model Update Scheme for Deep Learning Based Network Traffic Classifiers.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
A Distributed Network QoE Measurement Framework for Smart Networks in Smart Cities.
Proceedings of the IEEE International Smart Cities Conference, 2018


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