Zhisong Pan

Orcid: 0000-0001-8615-7313

According to our database1, Zhisong Pan authored at least 129 papers between 2005 and 2024.

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



In proceedings 
PhD thesis 


On csauthors.net:


MalPatch: Evading DNN-Based Malware Detection With Adversarial Patches.
IEEE Trans. Inf. Forensics Secur., 2024

Attention-enabled adaptive Markov graph convolution.
Neural Comput. Appl., 2024

Token-level disentanglement for unsupervised text style transfer.
Neurocomputing, December, 2023

Distributed One-Pass Online AUC Maximization.
Discret. Appl. Math., December, 2023

Semantic Attention and Structured Model for Weakly Supervised Instance Segmentation in Optical and SAR Remote Sensing Imagery.
Remote. Sens., November, 2023

Semantics-preserved Graph Siamese Representation Learning.
Inf. Process. Manag., November, 2023

Towards robust CNN-based malware classifiers using adversarial examples generated based on two saliency similarities.
Neural Comput. Appl., August, 2023

SASTGCN: A Self-Adaptive Spatio-Temporal Graph Convolutional Network for Traffic Prediction.
ISPRS Int. J. Geo Inf., August, 2023

Multi-Task Time Series Forecasting Based on Graph Neural Networks.
Entropy, August, 2023

Meta-Knowledge Guided Weakly Supervised Instance Segmentation for Optical and SAR Image Interpretation.
Remote. Sens., May, 2023

A fast user actual privilege reasoning framework based on privilege dependency graph reduction.
IET Inf. Secur., May, 2023

AMGmal: Adaptive mask-guided adversarial attack against malware detection with minimal perturbation.
Comput. Secur., April, 2023

Unsupervised 3D Reconstruction with Multi-Measure and High-Resolution Loss.
Sensors, 2023

Boosting Adversarial Transferability with Shallow-Feature Attack on SAR Images.
Remote. Sens., 2023

Instance attack: an explanation-based vulnerability analysis framework against DNNs for malware detection.
PeerJ Comput. Sci., 2023

Self-supervised heterogeneous graph learning with iterative similarity distillation.
Knowl. Based Syst., 2023

A Neural Tangent Kernel View on Federated Averaging for Deep Linear Neural Network.
CoRR, 2023

GraphMoco: a Graph Momentum Contrast Model that Using Multimodel Structure Information for Large-scale Binary Function Representation Learning.
CoRR, 2023

PSP-Mal: Evading Malware Detection via Prioritized Experience-based Reinforcement Learning with Shapley Prior.
Proceedings of the Annual Computer Security Applications Conference, 2023

Inferior and Coordinate Distillation for Object Detectors.
Sensors, 2022

Video Compressive Sensing Reconstruction Using Unfolded LSTM.
Sensors, 2022

Meta-Knowledge and Multi-Task Learning-Based Multi-Scene Adaptive Crowd Counting.
Sensors, 2022

Deep Reinforcement Learning-Based Resource Allocation for Satellite Internet of Things with Diverse QoS Guarantee.
Sensors, 2022

G2O-Pose: Real-Time Monocular 3D Human Pose Estimation Based on General Graph Optimization.
Sensors, 2022

A Hidden Attack Sequences Detection Method Based on Dynamic Reward Deep Deterministic Policy Gradient.
Secur. Commun. Networks, 2022

Provable convergence of Nesterov's accelerated gradient method for over-parameterized neural networks.
Knowl. Based Syst., 2022

Learning twofold heterogeneous multi-task by sharing similar convolution kernel pairs.
Knowl. Based Syst., 2022

A unified semantic description and user's permissions knowledge reasoning for multiple domain cyberspace based on knowledge graph.
J. Intell. Fuzzy Syst., 2022

A convergence analysis of Nesterov's accelerated gradient method in training deep linear neural networks.
Inf. Sci., 2022

Understanding Universal Adversarial Attack and Defense on Graph.
Int. J. Semantic Web Inf. Syst., 2022

Joint network embedding of network structure and node attributes via deep autoencoder.
Neurocomputing, 2022

Enhancing transferability of adversarial examples via rotation-invariant attacks.
IET Comput. Vis., 2022

Deep Semi-supervised Learning with Double-Contrast of Features and Semantics.
CoRR, 2022

Instance Attack: An Explanation-based Vulnerability Analysis Framework Against DNNs for Malware Detection.
CoRR, 2022

Fun2Vec: a Contrastive Learning Framework of Function-level Representation for Binary.
CoRR, 2022

A high-resolution dynamical view on momentum methods for over-parameterized neural networks.
CoRR, 2022

A DNS Tunnel Sliding Window Differential Detection Method Based on Normal Distribution Reasonable Range Filtering.
CoRR, 2022

FedSSO: A Federated Server-Side Second-Order Optimization Algorithm.
CoRR, 2022

Multiple Domain Cyberspace Attack and Defense Game Based on Reward Randomization Reinforcement Learning.
CoRR, 2022

KGRGRL: A User's Permission Reasoning Method Based on Knowledge Graph Reward Guidance Reinforcement Learning.
CoRR, 2022

Adversarial Attack via Dual-Stage Network Erosion.
CoRR, 2022

Boosting adversarial attacks with transformed gradient.
Comput. Secur., 2022

Adversarial attack via dual-stage network erosion.
Comput. Secur., 2022

Learning Coated Adversarial Camouflages for Object Detectors.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Making Adversarial Examples More Transferable and Indistinguishable.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Meta-Knowledge Learning and Domain Adaptation for Unseen Background Subtraction.
IEEE Trans. Image Process., 2021

Active Module Identification From Multilayer Weighted Gene Co-Expression Networks: A Continuous Optimization Approach.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A data independent approach to generate adversarial patches.
Mach. Vis. Appl., 2021

Robust and label efficient bi-filtering graph convolutional networks for node classification.
Knowl. Based Syst., 2021

Unifying community detection and network embedding in attributed networks.
Knowl. Inf. Syst., 2021

A fast X-shaped foreground segmentation network with CompactASPP.
Eng. Appl. Artif. Intell., 2021

DPA: Learning Robust Physical Adversarial Camouflages for Object Detectors.
CoRR, 2021

Provable Convergence of Nesterov Accelerated Method for Over-Parameterized Neural Networks.
CoRR, 2021

Mask-guided noise restriction adversarial attacks for image classification.
Comput. Secur., 2021

Entropy-Defined Direct Batch Growing Hierarchical Self-Organizing Mapping for Efficient Network Anomaly Detection.
IEEE Access, 2021

Multi-View Image Clustering via Representations Fusion Method With Semi-Nonnegative Matrix Factorization.
IEEE Access, 2021

Learning Indistinguishable and Transferable Adversarial Examples.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Clothes-Independent Identity Feature Learning for Long-Term Person Re-identification.
Proceedings of the Image and Graphics - 11th International Conference, 2021

Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

The Strength of Nesterov's Extrapolation in the Individual Convergence of Nonsmooth Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2020

Primal Averaging: A New Gradient Evaluation Step to Attain the Optimal Individual Convergence.
IEEE Trans. Cybern., 2020

SLAM: A Malware Detection Method Based on Sliding Local Attention Mechanism.
Secur. Commun. Networks, 2020

An eigendecomposition method based on deep learning and probabilistic graph model.
J. Ambient Intell. Humaniz. Comput., 2020

Network Traffic Classification Based on Deep Learning.
KSII Trans. Internet Inf. Syst., 2020

Multi-scale and multi-branch feature representation for person re-identification.
Neurocomputing, 2020

Cloud Annealing: A Novel Simulated Annealing Algorithm Based on Cloud Model.
IEICE Trans. Inf. Syst., 2020

Community detection in dynamic networks using constraint non-negative matrix factorization.
Intell. Data Anal., 2020

Use of sparse correlations for assessing financial markets.
Frontiers Comput. Sci., 2020

Weakness Analysis of Cyberspace Configuration Based on Reinforcement Learning.
CoRR, 2020

Making Adversarial Examples More Transferable and Indistinguishable.
CoRR, 2020

Regularized shapelet learning for scalable time series classification.
Comput. Networks, 2020

FLGAI: a unified network embedding framework integrating multi-scale network structures and node attribute information.
Appl. Intell., 2020

Joint Feature Learning Network for Visible-Infrared Person Re-identification.
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting.
Proceedings of the Computer Vision - ECCV 2020, 2020

An API Semantics-Aware Malware Detection Method Based on Deep Learning.
Secur. Commun. Networks, 2019

RMMDI: A Novel Framework for Role Mining Based on the Multi-Domain Information.
Secur. Commun. Networks, 2019

Online Learning for Time Series Prediction of AR Model with Missing Data.
Neural Process. Lett., 2019

时间序列预测方法综述 (Review of Time Series Prediction Methods).
计算机科学, 2019

Lifelong representation learning in dynamic attributed networks.
Neurocomputing, 2019

A Game-Theoretic Approach for Community Detection in Signed Networks.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2019

An Evolutionary Approach Based on Symmetric Nonnegative Matrix Factorization for Community Detection in Dynamic Networks.
IEICE Trans. Inf. Syst., 2019

Attributed network representation learning via DeepWalk.
Intell. Data Anal., 2019

MDC-Checker: A novel network risk assessment framework for multiple domain configurations.
Comput. Secur., 2019

X-Net: A Binocular Summation Network for Foreground Segmentation.
IEEE Access, 2019

DDoS Traffic Control Using Transfer Learning DQN With Structure Information.
IEEE Access, 2019

A New Smart Router-Throttling Method to Mitigate DDoS Attacks.
IEEE Access, 2019

How to Make Attention Mechanisms More Practical in Malware Classification.
IEEE Access, 2019

Densely Connected Convolutional Networks With Attention LSTM for Crowd Flows Prediction.
IEEE Access, 2019

Joint Attention Mechanism for Person Re-Identification.
IEEE Access, 2019

Community Detection Based on Regularized Semi-Nonnegative Matrix Tri-Factorization in Signed Networks.
Mob. Networks Appl., 2018

基于shapelets学习的多元时间序列分类 (Multivariate Time Series Classification Based on Shapelets Learning).
计算机科学, 2018

可伸缩模块化CNN人群计数方法 (Crowd Counting Method via Scalable Modularized Convolutional Neural Network).
计算机科学, 2018

Online learning for vector autoregressive moving-average time series prediction.
Neurocomputing, 2018

Community Detection Based on Co-regularized Nonnegative Matrix Tri-Factorization in Multi-view Social Networks.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

基于多输出学习的沪深300指数预测研究 (CSI 300 Index Prediction Research Based on Multi-output Learning).
计算机科学, 2017

Graph classification based on sparse graph feature selection and extreme learning machine.
Neurocomputing, 2017

Multi-label text categorization using L<sub>21</sub>-norm minimization extreme learning machine.
Neurocomputing, 2017

Community Discovery on Multi-View Social Networks via Joint Regularized Nonnegative Matrix Triple Factorization.
IEICE Trans. Inf. Syst., 2017

Combining Color Features for Real-Time Correlation Tracking.
IEICE Trans. Inf. Syst., 2017

Detecting Semantic Communities in Social Networks.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017

Entropy-based link selection strategy for multidimensional complex networks.
Intell. Data Anal., 2017

Robust and Adaptive Online Time Series Prediction with Long Short-Term Memory.
Comput. Intell. Neurosci., 2017

Active module identification in intracellular networks using a memetic algorithm with a new binary decoding scheme.
BMC Genom., 2017

A Feature Selection Algorithm Based on Pairwise Constraints for Linked Social Media Data.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

基于Spark的并行SVM算法研究 (Research on Parallel SVM Algorithm Based on Spark).
计算机科学, 2016

An Optimization Strategy for CFDMiner: An Algorithm of Discovering Constant Conditional Functional Dependencies.
IEICE Trans. Inf. Syst., 2016

Multi-view dimensionality reduction via canonical random correlation analysis.
Frontiers Comput. Sci., 2016

Generalization Bounds Derived IPM-Based Regularization for Domain Adaptation.
Comput. Intell. Neurosci., 2016

A novel semi-supervised approach for feature extraction.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A community discovery approach in multi-label data.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Anomaly detection based on efficient Euclidean projection.
Secur. Commun. Networks, 2015

领域适应学习算法研究与展望 (Research and Perspective on Domain Adaptation Learning Algorithms).
计算机科学, 2015

Anomaly detection in traffic using L1-norm minimization extreme learning machine.
Neurocomputing, 2015

Network traffic classification via non-convex multi-task feature learning.
Neurocomputing, 2015

Inequality-Constrained RPCA for Shadow Removal and Foreground Detection.
IEICE Trans. Inf. Syst., 2015

Semi-Supervised Feature Selection with Universum Based on Linked Social Media Data.
IEICE Trans. Inf. Syst., 2014

Community discovery and importance analysis in social network.
Intell. Data Anal., 2014

Dimensionality reduction via kernel sparse representation.
Frontiers Comput. Sci., 2014

Multi-task Feature Selection based Anomaly Detection.
CoRR, 2014

Detection of Encrypted Data Based on Support Vector Data Description.
Proceedings of the International Conference on Advanced Cloud and Big Data, 2013

Fused Multiple Graphical Lasso
CoRR, 2012

A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization.
Neural Process. Lett., 2010

An Effective Support Vector Data Description with Relevant Metric Learning.
Proceedings of the Advances in Neural Networks, 2010

A novel DoubleMinOver classifier based On second-order tensor.
Proceedings of the Sixth International Conference on Natural Computation, 2010

Proximal support vector machine using local information.
Neurocomputing, 2009

SVDD regularized with area under the ROC.
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, 2009

Matrix-Pattern-Oriented Ho-Kashyap Classifier with Early Stopping.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

Research on Cost-Sensitive Learning in One-Class Anomaly Detection Algorithms.
Proceedings of the Autonomic and Trusted Computing, 4th International Conference, 2007

An Integrated Model of Intrusion Detection Based on Neural Network and Expert System.
Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005