Yulin Zhu

Orcid: 0000-0003-1231-1386

According to our database1, Yulin Zhu authored at least 41 papers between 2017 and 2025.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2025
Multi-Grained Temporal-Spatial Graph Learning for Stable Traffic Flow Forecasting.
CoRR, August, 2025

Unleashing the power of indirect attacks against trust prediction via preferential path.
Knowl. Inf. Syst., May, 2025

From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst., April, 2025

AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks.
CoRR, March, 2025

Robust Graph Contrastive Learning With Information Restoration.
IEEE Trans. Inf. Forensics Secur., 2025

WMPA-ConvBERT-BM: A hybrid deep learning model optimized by whale-marine predator algorithm for IoT-enabled malicious URL detection.
Internet Things, 2025

Crowdsourced Homophily Ties Based Graph Annotation Via Large Language Model.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-Based Node Classification.
IEEE Trans. Knowl. Data Eng., June, 2024

Toward Secrecy-Aware Attacks Against Trust Prediction in Signed Social Networks.
IEEE Trans. Inf. Forensics Secur., 2024

Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection.
IEEE Trans. Inf. Forensics Secur., 2024

Coupled-Space Attacks Against Random-Walk-Based Anomaly Detection.
IEEE Trans. Inf. Forensics Secur., 2024

SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks.
CoRR, 2024

Universally Robust Graph Neural Networks by Preserving Neighbor Similarity.
CoRR, 2024

Adversarial analysis of similarity-based sign prediction.
Artif. Intell., 2024

Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Cost Aware Untargeted Poisoning Attack Against Graph Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2024

Uncovering Strong Ties: A Study of Indirect Sybil Attack on Signed Social Network.
Proceedings of the IEEE International Conference on Acoustics, 2024

A Deep Brain Stimulation Optimization Strategy Based on Actor-Critic Network.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

2023
Sinogram domain metal artifact correction of CT via deep learning.
Comput. Biol. Medicine, March, 2023

Dual-Space Attacks against Random-Walk-based Anomaly Detection.
CoRR, 2023

Homophily-Driven Sanitation View for Robust Graph Contrastive Learning.
CoRR, 2023

Simple yet Effective Gradient-Free Graph Convolutional Networks.
CoRR, 2023

2022
A survey on machine learning models for financial time series forecasting.
Neurocomputing, 2022

Adopting a dendritic neural model for predicting stock price index movement.
Expert Syst. Appl., 2022

FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification.
CoRR, 2022

Towards Secrecy-Aware Attacks Against Trust Prediction in Signed Graphs.
CoRR, 2022

Impact of Labour Productivity Differences on Urban-Rural Integration Development and Its Spatial Effect: Evidence from a Spatial Durbin Model.
Complex., 2022

Adaptive closed-loop control strategy inhibiting pathological basal ganglia oscillations.
Biomed. Signal Process. Control., 2022

BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Image-Based Storytelling Using Deep Learning.
Proceedings of the 2022 The 5th International Conference on Control and Computer Vision, 2022

Ski Fall Detection from Digital Images Using Deep Learning.
Proceedings of the 2022 The 5th International Conference on Control and Computer Vision, 2022

An Adaptive Hint System for Puzzle Games: A Multimodal-based Approach.
Proceedings of the IEEE Games, Entertainment, Media Conference, 2022

2021
Fault Diagnosis of Signal Equipment on the Lanzhou-Xinjiang High-Speed Railway Using Machine Learning for Natural Language Processing.
Complex., 2021

Research on the Optimization of a Track Circuit Maintenance Strategy Based on the BB-MOPSO Algorithm.
IEEE Access, 2021

Attacking Similarity-Based Sign Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2021

Structural Attack against Graph Based Android Malware Detection.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020
Fold-LTR-TCP: protein fold recognition based on triadic closure principle.
Briefings Bioinform., 2020

2019
A Differential Evolution-Oriented Pruning Neural Network Model for Bankruptcy Prediction.
Complex., 2019

ProtDec-LTR3.0: Protein Remote Homology Detection by Incorporating Profile-Based Features Into Learning to Rank.
IEEE Access, 2019

2017
Neural mass models describing possible origin of the excessive beta oscillations correlated with Parkinsonian state.
Neural Networks, 2017


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