Chunkai Zhang

Orcid: 0000-0002-2207-0953

Affiliations:
  • Harbin Institute of Technology, School of Computer Science and Technology, Shenzhen, China
  • Shanghai Jiaotong University, China (PhD)


According to our database1, Chunkai Zhang authored at least 76 papers between 2000 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Totally-ordered Sequential Rules for Utility Maximization.
ACM Trans. Knowl. Discov. Data, May, 2024

HUSP-SP: Faster Utility Mining on Sequence Data.
ACM Trans. Knowl. Discov. Data, January, 2024

2023
TUSQ: Targeted High-Utility Sequence Querying.
IEEE Trans. Big Data, April, 2023

VESC: a new variational autoencoder based model for anomaly detection.
Int. J. Mach. Learn. Cybern., March, 2023

FinChain-BERT: A High-Accuracy Automatic Fraud Detection Model Based on NLP Methods for Financial Scenarios.
Inf., 2023

Discovering Utility-driven Interval Rules.
CoRR, 2023

LayerLog: Log sequence anomaly detection based on hierarchical semantics.
Appl. Soft Comput., 2023

2022
On-Shelf Utility Mining of Sequence Data.
ACM Trans. Knowl. Discov. Data, 2022

AAGCN: Adjacency-aware Graph Convolutional Network for person re-identification.
Knowl. Based Syst., 2022

DSGNN: A dynamic and static intentions integrated graph neural network for session-based recommendation.
Neurocomputing, 2022

SEDGN: Sequence enhanced denoising graph neural network for session-based recommendation.
Expert Syst. Appl., 2022

On-manifold adversarial attack based on latent space substitute model.
Comput. Secur., 2022

2021
Log Sequence Anomaly Detection Based on Local Information Extraction and Globally Sparse Transformer Model.
IEEE Trans. Netw. Serv. Manag., 2021

Explainable Fuzzy Utility Mining on Sequences.
IEEE Trans. Fuzzy Syst., 2021

ADET: anomaly detection in time series with linear time.
Int. J. Mach. Learn. Cybern., 2021

TKUS: Mining top-<i>k</i> high utility sequential patterns.
Inf. Sci., 2021

Utility-driven Mining of Contiguous Sequences.
CoRR, 2021

An efficient general black-box adversarial attack approach based on multi-objective optimization for high dimensional images.
Comput. Electr. Eng., 2021

Reconstruct Anomaly to Normal: Adversarially Learned and Latent Vector-Constrained Autoencoder for Time-Series Anomaly Detection.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

2020
An Efficient Algorithm for Extracting High-Utility Hierarchical Sequential Patterns.
Wirel. Commun. Mob. Comput., 2020

TKUS: Mining Top-K High-Utility Sequential Patterns.
CoRR, 2020

Reconstruct Anomaly to Normal: Adversarial Learned and Latent Vector-constrained Autoencoder for Time-series Anomaly Detection.
CoRR, 2020

Spatio-Temporal Attentive Network for Session-Based Recommendation.
Proceedings of the Knowledge Science, Engineering and Management, 2020

2019
Research on classification method of high-dimensional class-imbalanced datasets based on SVM.
Int. J. Mach. Learn. Cybern., 2019

HashEclat: an efficient frequent itemset algorithm.
Int. J. Mach. Learn. Cybern., 2019

Region-filtering correlation tracking.
Knowl. Based Syst., 2019

Anomaly Detection Algorithm Based on Subspace Local Density Estimation.
Int. J. Web Serv. Res., 2019

Fast Eclat Algorithms Based on Minwise Hashing for Large Scale Transactions.
IEEE Internet Things J., 2019

Multi-task deep convolutional neural network for cancer diagnosis.
Neurocomputing, 2019

Time Series Anomaly Detection with Variational Autoencoders.
CoRR, 2019

VCOS: A Novel Synergistic Oversampling Algorithm in Binary Imbalance Classification.
IEEE Access, 2019

A Fast Algorithm for Hiding High Utility Sequential Patterns.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

An Adversarial Attack Based on Multi-objective Optimization in the Black-Box Scenario: MOEA-APGA II.
Proceedings of the Information and Communications Security - 21st International Conference, 2019

An Efficient Parallel High Utility Sequential Pattern Mining Algorithm.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

A Multi-objective Examples Generation Approach to Fool the Deep Neural Networks in the Black-Box Scenario.
Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

Anomaly Subsequence Detection with Dynamic Local Density for Time Series.
Proceedings of the Database and Expert Systems Applications, 2019

2018
Decision Tree Based Approaches for Detecting Protein Complex in Protein Protein Interaction Network (PPI) via Link and Sequence Analysis.
IEEE Access, 2018

Fast Time Series Discords Detection with Privacy Preserving.
Proceedings of the 17th IEEE International Conference On Trust, 2018

BOFE: Anomaly Detection in Linear Time Based on Feature Estimation.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

An Improvement of PAA on Trend-Based Approximation for Time Series.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

PPLDEM: A Fast Anomaly Detection Algorithm with Privacy Preserving.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

Towards Secure Cloud Data Similarity Retrieval: Privacy Preserving Near-Duplicate Image Data Detection.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

An Improved Measurement of the Imbalanced Dataset.
Proceedings of the Cloud Computing - CLOUD 2018, 2018

Over-Sampling Algorithm Based on VAE in Imbalanced Classification.
Proceedings of the Cloud Computing - CLOUD 2018, 2018

A Novel Anomaly Detection Algorithm Based on Trident Tree.
Proceedings of the Cloud Computing - CLOUD 2018, 2018

2017
Deep convolutional neural networks for thermal infrared object tracking.
Knowl. Based Syst., 2017

Mining inter-transaction association rules from multiple time-series data.
Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Feature selection for high dimensional imbalanced class data based on F-measure optimization.
Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

A novel privacy-preserving distributed anomaly detection method.
Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

EHSBoost: Enhancing ensembles for imbalanced data-sets by evolutionary hybrid-sampling.
Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

White-box traceable dynamic attribute based encryption.
Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Cancer classification with multi-task deep learning.
Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Research of Detection Algorithm for Time Series Abnormal Subsequence.
Proceedings of the Data Science, 2017

An Approximate Approach to Frequent Itemset Mining.
Proceedings of the Second IEEE International Conference on Data Science in Cyberspace, 2017

A New Approach for Imbalanced Data Classification Based on Minimize Loss Learning.
Proceedings of the Second IEEE International Conference on Data Science in Cyberspace, 2017

Time Series Discord Discovery Under Multi-party Privacy Preserving.
Proceedings of the Second IEEE International Conference on Data Science in Cyberspace, 2017

Research on Classification Method of High-Dimensional Class-Imbalanced Data Sets Based on SVM.
Proceedings of the Second IEEE International Conference on Data Science in Cyberspace, 2017

2016
A multi-view model for visual tracking via correlation filters.
Knowl. Based Syst., 2016

Dynamic Attribute-Based Access Control in Cloud Storage Systems.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

A Classification Method of Imbalanced Data Base on PSO Algorithm.
Proceedings of the Social Computing, 2016

2014
DBBoost-Enhancing Imbalanced Classification by a Novel Ensemble Based Technique.
Proceedings of the 2014 International Conference on Medical Biometrics, Shenzhen, Guangdong, China, May 30, 2014

A new sampling approach for classification of imbalanced data sets with high density.
Proceedings of the International Conference on Big Data and Smart Computing, BIGCOMP 2014, 2014

2011
Application oriented data cleaning For RFID middleware.
Proceedings of the IEEE International Conference on Systems, 2011

2009
ResidualRanking: a robust Access-Point selection strategy for indoor location tracking.
Proceedings of the IEEE International Conference on Systems, 2009

2008
A Power-aware Adaptive Dynamic Routing Scheme for Wireless Ad Hoc Networks.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

2007
An Evolved Recurrent Neural Network and Its Application.
Proceedings of the Trends in Neural Computation, 2007

2006
Feature Selection in SVM Based on the Hybrid of Enhanced Genetic Algorithm and Mutual Information.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2006

2005
Using PSO algorithm to evolve an optimum input subset for a SVM in time series forecasting.
Proceedings of the IEEE International Conference on Systems, 2005

An evolved recurrent neural network and its application in the state estimation of the CSTR system.
Proceedings of the IEEE International Conference on Systems, 2005

An Evolved Recurrent Neural Network and Its Application.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

An Effective Feature Selection Scheme via Genetic Algorithm Using Mutual Information.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

Ant Colony Optimization Combining with Mutual Information for Feature Selection in Support Vector Machines.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2001
A hybrid strategy: real-coded genetic algorithm and chaotic search.
Proceedings of the IEEE International Conference on Systems, 2001

2000
Particle swarm optimisation for evolving artificial neural network.
Proceedings of the IEEE International Conference on Systems, 2000

An ANN's evolved by a new evolutionary system and its application.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

Particle Swarm Optimisation in Feedforward Neural Network.
Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000


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