Zhisong Pan

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2026
Study of background complexity based on composite multiscale entropy of EEG signals.
Displays, 2026

2025
A Complex-valued hybrid deep learning models for automatic modulation recognition.
EURASIP J. Adv. Signal Process., December, 2025

GRAIL: Graph contrastive learning with balanced negative sampling.
Inf. Process. Manag., 2025

Class-aware graph Siamese representation learning.
Neurocomputing, 2025

A Three-Dimensional Convolutional Neural Network for Dark Web Traffic Classification Based on Multi-Channel Image Deep Learning.
Comput., 2025

Dark Web Traffic Classification Based on Spatial-Temporal Feature Fusion and Attention Mechanism.
Comput., 2025

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

TGGS network: A multi-task learning network for gradient-guided knowledge sharing.
Knowl. Based Syst., 2024

Provable Acceleration of Nesterov's Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

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

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

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

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

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

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

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

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

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

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

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

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

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

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

The Strength of Nesterov's Extrapolation in the Individual Convergence of Nonsmooth Optimization.
CoRR, 2020

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

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

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

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

2017
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

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

2016
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

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

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

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

2014
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

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

2012
Fused Multiple Graphical Lasso
CoRR, 2012

2010
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

2009
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

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

2005
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


  Loading...