Qi Xuan

Orcid: 0000-0002-6320-7012

According to our database1, Qi Xuan authored at least 189 papers between 2010 and 2025.

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

Timeline

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Bibliography

2025
Graph-Based Similarity of Deep Neural Networks.
Neurocomputing, 2025

2024
RGP: Neural Network Pruning Through Regular Graph With Edges Swapping.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Node Injection Attack Based on Label Propagation Against Graph Neural Network.
IEEE Trans. Comput. Soc. Syst., October, 2024

Single-Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning.
IEEE Trans. Comput. Soc. Syst., October, 2024

GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections.
IEEE Trans. Comput. Soc. Syst., August, 2024

GA-Based Multipopulation Synergistic Gene Screening Strategy on Critical Nodes Detection.
IEEE Trans. Comput. Soc. Syst., June, 2024

Mutual Influence in Citation and Cooperation Patterns.
IEEE Trans. Comput. Soc. Syst., June, 2024

HFAD: Homomorphic Filtering Adversarial Defense Against Adversarial Attacks in Automatic Modulation Classification.
IEEE Trans. Cogn. Commun. Netw., June, 2024

AT-GAN: A Backdoor Attack Against Radio Signals Modulation Based on Adaptive Trigger.
IEEE Trans. Circuits Syst. II Express Briefs, June, 2024

MONA: An Efficient and Scalable Strategy for Targeted k-Nodes Collapse.
IEEE Trans. Circuits Syst. II Express Briefs, June, 2024

Channel Pruning Method for Signal Modulation Recognition Deep Learning Models.
IEEE Trans. Cogn. Commun. Netw., April, 2024

Adversarial Attacks on Clustering Coefficient in Complex Networks.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2024

DeepInsight: Topology Changes Assisting Detection of Adversarial Samples on Graphs.
IEEE Trans. Comput. Soc. Syst., February, 2024

Imperceptible UAPs for Automatic Modulation Classification Based on Deep Learning.
IEEE Trans. Circuits Syst. II Express Briefs, February, 2024

Multi-View Graph Convolution Network Reinforcement Learning for CAVs Cooperative Control in Highway Mixed Traffic.
IEEE Trans. Intell. Veh., January, 2024

Null Model-Based Data Augmentation for Graph Classification.
IEEE Trans. Netw. Sci. Eng., 2024

Time-Aware Metapath Feature Augmentation for Ponzi Detection in Ethereum.
IEEE Trans. Netw. Sci. Eng., 2024

Backdoor Online Tracing With Evolving Graphs.
IEEE Trans. Inf. Forensics Secur., 2024

Learn to Defend: Adversarial Multi-Distillation for Automatic Modulation Recognition Models.
IEEE Trans. Inf. Forensics Secur., 2024

PathMLP: Smooth path towards high-order homophily.
Neural Networks, 2024

FashionGPT: LLM instruction fine-tuning with multiple LoRA-adapter fusion.
Knowl. Based Syst., 2024

Dirichlet probability navigated fault detection via key-group memory auto-encoder under non-stationary working conditions.
Inf. Sci., 2024

Blockchain transaction data mining and its applications.
IET Blockchain, 2024

LLMs-based machine translation for E-commerce.
Expert Syst. Appl., 2024

Rethinking Graph Transformer Architecture Design for Node Classification.
CoRR, 2024

Network Anomaly Traffic Detection via Multi-view Feature Fusion.
CoRR, 2024

MDM: Advancing Multi-Domain Distribution Matching for Automatic Modulation Recognition Dataset Synthesis.
CoRR, 2024

Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervision.
CoRR, 2024

Exploring agent interaction patterns in the comment sections of fake and real news.
CoRR, 2024

Dual-view Aware Smart Contract Vulnerability Detection for Ethereum.
CoRR, 2024

A Generic Layer Pruning Method for Signal Modulation Recognition Deep Learning Models.
CoRR, 2024

Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction.
CoRR, 2024

Facilitating Feature and Topology Lightweighting: An Ethereum Transaction Graph Compression Method for Malicious Account Detection.
CoRR, 2024

Improving Network Degree Correlation by Degree-preserving Rewiring.
CoRR, 2024

A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures.
CoRR, 2024

Backfire Effect Reveals Early Controversy in Online Media.
CoRR, 2024

Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry.
CoRR, 2024

GGT: Graph-guided testing for adversarial sample detection of deep neural network.
Comput. Secur., 2024

Like teacher, like pupil: Transferring backdoors via feature-based knowledge distillation.
Comput. Secur., 2024

How Does Contrastive Learning Organize Images?
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

Interpretability Based Neural Network Repair.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Across Images and Graphs for Question Answering.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

CMA: A Cross-Modal Attack on Radar Signal Recognition Model Based on Time-Frequency Analysis.
Proceedings of the IEEE International Conference on Communications, 2024

RK-CORE: An Established Methodology for Exploring the Hierarchical Structure within Datasets.
Proceedings of the IEEE International Conference on Acoustics, 2024

A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures.
Proceedings of the Data Security and Privacy Protection - Second International Conference, 2024

Exploring the Impact of Dataset Bias on Dataset Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Attacking the Core Structure of Complex Network.
IEEE Trans. Comput. Soc. Syst., August, 2023

EMD and VMD Empowered Deep Learning for Radio Modulation Recognition.
IEEE Trans. Cogn. Commun. Netw., February, 2023

RobustECD: Enhancement of Network Structure for Robust Community Detection.
IEEE Trans. Knowl. Data Eng., 2023

Time-Aware Gradient Attack on Dynamic Network Link Prediction.
IEEE Trans. Knowl. Data Eng., 2023

MAD-MulW: A Multi-Window Anomaly Detection Framework for BGP Security Events.
CoRR, 2023

Deep Learning-Based Frequency Offset Estimation.
CoRR, 2023

Augmenting Radio Signals with Wavelet Transform for Deep Learning-Based Modulation Recognition.
CoRR, 2023

BufferSearch: Generating Black-Box Adversarial Texts With Lower Queries.
CoRR, 2023

Attacking The Assortativity Coefficient Under A Rewiring Strategy.
CoRR, 2023

Can pre-trained models assist in dataset distillation?
CoRR, 2023

Photonic time-delayed reservoir computing based on series coupled microring resonators with high memory capacity.
CoRR, 2023

PathMLP: Smooth Path Towards High-order Homophily.
CoRR, 2023

Subgraph Networks Based Contrastive Learning.
CoRR, 2023

Clarify Confused Nodes Through Separated Learning.
CoRR, 2023

Exploring Inductive Biases in Contrastive Learning: A Clustering Perspective.
CoRR, 2023

Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning.
CoRR, 2023

Neighborhood Homophily-Guided Graph Convolutional Network.
CoRR, 2023

Targeted k-node Collapse Problem: Towards Understanding the Robustness of Local k-core Structure.
CoRR, 2023

Multi-triplet Feature Augmentation for Ponzi Scheme Detection in Ethereum.
Proceedings of the IEEE International Conference on Data Mining, 2023

UAP Attack for Radio Signal Modulation Classification Based on Deep Learning.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

SR-init: An Interpretable Layer Pruning Method.
Proceedings of the IEEE International Conference on Acoustics, 2023

Empirical Study of the IPv4 and IPv6 Networks at the Autonomous System Level.
Proceedings of the 8th International Conference on Data Science in Cyberspace, 2023

Neighborhood Homophily-based Graph Convolutional Network.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Deep Learning Applications - In Computer Vision, Signals and Networks
WorldScientific, ISBN: 9789811266928, 2023

2022
AvgNet: Adaptive Visibility Graph Neural Network and Its Application in Modulation Classification.
IEEE Trans. Netw. Sci. Eng., 2022

Behavior-Aware Account De-Anonymization on Ethereum Interaction Graph.
IEEE Trans. Inf. Forensics Secur., 2022

A Comorbidity Knowledge-Aware Model for Disease Prognostic Prediction.
IEEE Trans. Cybern., 2022

Time-Series Snapshot Network for Partner Recommendation: A Case Study on OSS.
IEEE Trans. Comput. Soc. Syst., 2022

SigNet: A Novel Deep Learning Framework for Radio Signal Classification.
IEEE Trans. Cogn. Commun. Netw., 2022

The Robustness of Graph k-Shell Structure Under Adversarial Attacks.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Heterogeneous Feature Augmentation for Ponzi Detection in Ethereum.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Salient feature extractor for adversarial defense on deep neural networks.
Inf. Sci., 2022

Data Augmentation on Graphs: A Survey.
CoRR, 2022

Discover Important Paths in the Knowledge Graph Based on Dynamic Relation Confidence.
CoRR, 2022

TSGN: Transaction Subgraph Networks Assisting Phishing Detection in Ethereum.
CoRR, 2022

Dual-channel Early Warning Framework for Ethereum Ponzi Schemes.
CoRR, 2022

SubGraph Networks based Entity Alignment for Cross-lingual Knowledge Graph.
CoRR, 2022

Hyperspectral Imaging for cherry tomato.
CoRR, 2022

DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity.
CoRR, 2022

A multi-view framework for BGP anomaly detection via graph attention network.
Comput. Networks, 2022

A Rapid Source Localization Method in the Early Stage of Large-scale Network Propagation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Understanding the Dynamics of DNNs Using Graph Modularity.
Proceedings of the Computer Vision - ECCV 2022, 2022

Phishing Fraud Detection on Ethereum Using Graph Neural Network.
Proceedings of the Blockchain and Trustworthy Systems - 4th International Conference, 2022

Cross Cryptocurrency Relationship Mining for Bitcoin Price Prediction.
Proceedings of the Blockchain and Trustworthy Systems - 4th International Conference, 2022

Adversarial Examples Detection of Electromagnetic Signal Based on GAN.
Proceedings of the 8th International Conference on Big Data Computing and Communications, 2022

Improving Robustness of Language Models from a Geometry-aware Perspective.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Network Embedding Attack: An Euclidean Distance Based Method.
Proceedings of the MDATA: A New Knowledge Representation Model, 2021

E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Corrections to "M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification".
IEEE Trans. Netw. Sci. Eng., 2021

M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification.
IEEE Trans. Netw. Sci. Eng., 2021

Sampling Subgraph Network With Application to Graph Classification.
IEEE Trans. Netw. Sci. Eng., 2021

Target Defense Against Link-Prediction-Based Attacks via Evolutionary Perturbations.
IEEE Trans. Knowl. Data Eng., 2021

Subgraph Networks With Application to Structural Feature Space Expansion.
IEEE Trans. Knowl. Data Eng., 2021

A New Interpretable Learning Method for Fault Diagnosis of Rolling Bearings.
IEEE Trans. Instrum. Meas., 2021

HVAQ: A High-Resolution Vision-Based Air Quality Dataset.
IEEE Trans. Instrum. Meas., 2021

Smoothing Adversarial Training for GNN.
IEEE Trans. Comput. Soc. Syst., 2021

MGA: Momentum Gradient Attack on Network.
IEEE Trans. Comput. Soc. Syst., 2021

Multiscale Evolutionary Perturbation Attack on Community Detection.
IEEE Trans. Comput. Soc. Syst., 2021

Adversarial Examples Detection of Radio Signals Based on Multifeature Fusion.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

Robust Finite-Time Dynamic Average Consensus With Exponential Convergence Rates.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

Side-Channel Gray-Box Attack for DNNs.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

FEM: Feature extraction and mapping for radio modulation classification.
Phys. Commun., 2021

Research on Target Tracking Algorithm Based on Siamese Neural Network.
Mob. Inf. Syst., 2021

BlockGC: A Joint Learning Framework for Account Identity Inference on Blockchain with Graph Contrast.
CoRR, 2021

Subgraph Contrastive Link Representation Learning.
CoRR, 2021

Data Augmentation Based on Null Model for Graph Classification.
CoRR, 2021

COREATTACK: Breaking Up the Core Structure of Graphs.
CoRR, 2021

Graph Modularity: Towards Understanding the Cross-Layer Transition of Feature Representations in Deep Neural Networks.
CoRR, 2021

Graph-Based Similarity of Neural Network Representations.
CoRR, 2021

RGP: Neural Network Pruning through Its Regular Graph Structure.
CoRR, 2021

Inferring Multiple Relationships between ASes using Graph Convolutional Network.
CoRR, 2021

DeepInsight: Interpretability Assisting Detection of Adversarial Samples on Graphs.
CoRR, 2021

Adaptive Visibility Graph Neural Network and its Application in Modulation Classification.
CoRR, 2021

CLPVG: Circular limited penetrable visibility graph as a new network model for time series.
CoRR, 2021

Ponzi Scheme Detection in EthereumTransaction Network.
CoRR, 2021

MITNet: GAN Enhanced Magnetic Induction Tomography Based on Complex CNN.
CoRR, 2021

You Can't Fool All the Models: Detect Adversarial Samples via Pruning Models.
IEEE Access, 2021

Sustainability forecasting for Apache incubator projects.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Apache Software Foundation Incubator Project Sustainability Dataset.
Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

Detecting Adversarial Samples with Graph-Guided Testing.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Ponzi Scheme Detection in Ethereum Transaction Network.
Proceedings of the Blockchain and Trustworthy Systems - Third International Conference, 2021

Temporal-Amount Snapshot MultiGraph for Ethereum Transaction Tracking.
Proceedings of the Blockchain and Trustworthy Systems - Third International Conference, 2021

TSGN: Transaction Subgraph Networks for Identifying Ethereum Phishing Accounts.
Proceedings of the Blockchain and Trustworthy Systems - Third International Conference, 2021

Identity Inference on Blockchain Using Graph Neural Network.
Proceedings of the Blockchain and Trustworthy Systems - Third International Conference, 2021

2020
A Self-Learning Information Diffusion Model for Smart Social Networks.
IEEE Trans. Netw. Sci. Eng., 2020

NES-TL: Network Embedding Similarity-Based Transfer Learning.
IEEE Trans. Netw. Sci. Eng., 2020

Open DNN Box by Power Side-Channel Attack.
IEEE Trans. Circuits Syst., 2020

Collective transfer learning for defect prediction.
Neurocomputing, 2020

Time-Series Snapshot Network as A New Model for Role Recommendation in OSS.
CoRR, 2020

SigNet: An Advanced Deep Learning Framework for Radio Signal Classification.
CoRR, 2020

Modeling the heterogeneous disease-behavior-information dynamics during epidemics.
CoRR, 2020

Adversarial Attacks to Scale-Free Networks: Testing the Robustness of Physical Criteria.
CoRR, 2020

Efficient Incremental Learning Using Dynamic Correction Vector.
IEEE Access, 2020

Software visualization and deep transfer learning for effective software defect prediction.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

Unsupervised Euclidean Distance Attack on Network Embedding.
Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020

Target Tracking Based on Siamese Convolution Neural Networks.
Proceedings of the International Conference on Computer, 2020

Data Augmentation for Graph Classification.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Hyper-Substructure Enhanced Link Predictor.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

SPA: Stealthy Poisoning Attack.
Proceedings of the CIAT 2020: International Conference on Cyberspace Innovation of Advanced Technologies, 2020

Adversarial Detection on Graph Structured Data.
Proceedings of the PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice, 2020

2019
Multiview Generative Adversarial Network and Its Application in Pearl Classification.
IEEE Trans. Ind. Electron., 2019

Analysis of Hospitalizing Behaviors Based on Big Trajectory Data.
IEEE Trans. Comput. Soc. Syst., 2019

PSO-ANE: Adaptive Network Embedding With Particle Swarm Optimization.
IEEE Trans. Comput. Soc. Syst., 2019

N2VSCDNNR: A Local Recommender System Based on Node2vec and Rich Information Network.
IEEE Trans. Comput. Soc. Syst., 2019

GA-Based Q-Attack on Community Detection.
IEEE Trans. Comput. Soc. Syst., 2019

HPILN: a feature learning framework for cross-modality person re-identification.
IET Image Process., 2019

Adversarial Enhancement for Community Detection in Complex Networks.
CoRR, 2019

Unsupervised Euclidean Distance Attack on Network Embedding.
CoRR, 2019

Can Adversarial Network Attack be Defended?
CoRR, 2019

E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction.
CoRR, 2019

DGEPN-GCEN2V: a new framework for mining GGI and its application in biomarker detection.
Sci. China Inf. Sci., 2019

FGCH: a fast and grid based clustering algorithm for hybrid data stream.
Appl. Intell., 2019

Robustness Analysis of Bipartite Task Assignment Networks: A Case Study in Hospital Logistics System.
IEEE Access, 2019

MV-C3D: A Spatial Correlated Multi-View 3D Convolutional Neural Networks.
IEEE Access, 2019

Multiview Transfer Learning for Software Defect Prediction.
IEEE Access, 2019

Short-Term Traffic Flow Prediction using Attention-Based Long Short-Term Memory Network.
Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

2018
Passive Indoor Localization Based on CSI and Naive Bayes Classification.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Swarming Behavior of Multiple Euler-Lagrange Systems With Cooperation-Competition Interactions: An Auxiliary System Approach.
IEEE Trans. Neural Networks Learn. Syst., 2018

Link Weight Prediction Using Supervised Learning Methods and Its Application to Yelp Layered Network.
IEEE Trans. Knowl. Data Eng., 2018

Automatic Pearl Classification Machine Based on a Multistream Convolutional Neural Network.
IEEE Trans. Ind. Electron., 2018

Social Synchrony on Complex Networks.
IEEE Trans. Cybern., 2018

Modern Food Foraging Patterns: Geography and Cuisine Choices of Restaurant Patrons on Yelp.
IEEE Trans. Comput. Soc. Syst., 2018

Accurate Indoor Localization Based on CSI and Visibility Graph.
Sensors, 2018

Network-Based Ranking for Open Source Software Developer Prediction.
Int. J. Softw. Eng. Knowl. Eng., 2018

Target Defense Against Link-Prediction-Based Attacks via Evolutionary Perturbations.
CoRR, 2018

Fast Gradient Attack on Network Embedding.
CoRR, 2018

Evolving Convolutional Neural Network and Its Application in Fine-Grained Visual Categorization.
IEEE Access, 2018

DOE-AND-SCA: A Novel SCA Based on DNN With Optimal Eigenvectors and Automatic Cluster Number Determination.
IEEE Access, 2018

2017
A Framework for Bus Trajectory Extraction and Missing Data Recovery for Data Sampled from the Internet.
Sensors, 2017

2016
Reverse Group Consensus of Multi-Agent Systems in the Cooperation-Competition Network.
IEEE Trans. Circuits Syst. I Regul. Pap., 2016

The sky is not the limit: multitasking across GitHub projects.
Proceedings of the 38th International Conference on Software Engineering, 2016

2015
Consensus of multi-agent systems in the cooperation-competition network with inherent nonlinear dynamics: A time-delayed control approach.
Neurocomputing, 2015

2014
Group consensus for heterogeneous multi-agent systems with parametric uncertainties.
Neurocomputing, 2014

Converging Work-Talk Patterns in Online Task-Oriented Communities.
CoRR, 2014

Ranking Developer Candidates by Social Links.
Adv. Complex Syst., 2014

Focus-shifting patterns of OSS developers and their congruence with call graphs.
Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering, (FSE-22), Hong Kong, China, November 16, 2014

Building it together: synchronous development in OSS.
Proceedings of the 36th International Conference on Software Engineering, 2014

2013
Synchrony in Social Groups and Its Benefits.
Proceedings of the Handbook of Human Computation, 2013

Second-order consensus of multi-agent systems in the cooperation-competition network with switching topologies: A time-delayed impulsive control approach.
Syst. Control. Lett., 2013

2012
Measuring the Effect of Social Communications on Individual Working Rhythms: A Case Study of Open Source Software.
Proceedings of the 2012 International Conference on Social Informatics (SocialInformatics), 2012

2011
A Framework to Model the Topological Structure of Supply Networks.
IEEE Trans Autom. Sci. Eng., 2011

2010
One-to-Many Node Matching between Complex Networks.
Adv. Complex Syst., 2010

Complex Supply Networks Evolving Model: Complex Networks perspective.
Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010


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