Cun Ji

Orcid: 0000-0002-3326-6572

According to our database1, Cun Ji authored at least 39 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Feature-fused residual network for time series classification.
J. King Saud Univ. Comput. Inf. Sci., 2024

Multivariate time series classification based on fusion features.
Expert Syst. Appl., 2024

Shapelet selection for time series classification.
Appl. Soft Comput., 2024

2023
Facial Expression Recognition Based on Spatial-Temporal Fusion with Attention Mechanism.
Neural Process. Lett., October, 2023

Time series classification with random temporal features.
J. King Saud Univ. Comput. Inf. Sci., October, 2023

A dynamic and resource sharing virtual network mapping algorithm.
Digit. Commun. Networks, October, 2023

Multi-feature based network for multivariate time series classification.
Inf. Sci., August, 2023

Automatic Component Identification Based on Time Series Classification for Intelligent Devices.
Proceedings of the IEEE International Conference on Data Mining, 2023

Adaptive Shapelet Selection for Time Series Classification.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2022
Dynamic differential entropy and brain connectivity features based EEG emotion recognition.
Int. J. Intell. Syst., December, 2022

An improved fast shapelet selection algorithm and its application to pervasive EEG.
Pers. Ubiquitous Comput., 2022

Fully convolutional networks with shapelet features for time series classification.
Inf. Sci., 2022

Time series classification based on temporal features.
Appl. Soft Comput., 2022

Multimodal Emotion Recognition Using CNN-SVM with Data Augmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Multi-layer Representation Learning and Its Application to Electronic Health Records.
Neural Process. Lett., 2021

Edge user allocation by FOA in edge computing environment.
J. Comput. Sci., 2021

ECG Prediction based on Bidirectional Time Series Chain Discovery Algorithm.
Proceedings of the ICCSE '21: 5th International Conference on Crowd Science and Engineering, Jinan, China, October 16, 2021

A Pervasive Multi-physiological Signal-Based Emotion Classification with Shapelet Transformation and Decision Fusion.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2021

2020
ADARC: An anomaly detection algorithm based on relative outlier distance and biseries correlation.
Softw. Pract. Exp., 2020

A novel multi-resolution representation for time series sensor data analysis.
Soft Comput., 2020

Fast Shapelet Discovery with Trend Feature Symbolization.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2020

Cooperative Anomaly Detection Model and Real-Time Update Strategy for Industrial Stream Data.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2020

Emotion Classification Based on Brain Functional Connectivity Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
A just-in-time shapelet selection service for online time series classification.
Comput. Networks, 2019

A fast shapelet selection algorithm for time series classification.
Comput. Networks, 2019

Selecting Superior Candidates from a Suitable Set: A Selective Extraction Algorithm for Accelerating Shapelet Discovery in Time Series Data.
Proceedings of the 23rd IEEE International Conference on Computer Supported Cooperative Work in Design, 2019

Disease Prediction Model Based on BiLSTM and Attention Mechanism.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
A new parallel simulation method for massive crowd.
Proceedings of the 2018 International Conference on Identification, 2018

XG-SF: An XGBoost Classifier Based on Shapelet Features for Time Series Classification.
Proceedings of the 2018 International Conference on Identification, 2018

A 2D Transform Based Distance Function for Time Series Classification.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2018

2017
A Fast Shapelet Discovery Algorithm Based on Important Data Points.
Int. J. Web Serv. Res., 2017

A Shapelet Selection Algorithm for Time Series Classification: New Directions.
Proceedings of the 2017 International Conference on Identification, 2017

2016
Device Data Ingestion for Industrial Big Data Platforms with a Case Study.
Sensors, 2016

Efficient Snapshot KNN Join Processing for Large Data Using MapReduce.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

A piecewise linear representation method based on importance data points for time series data.
Proceedings of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design, 2016

A Continuous Segmentation Algorithm for Streaming Time Series.
Proceedings of the Collaborate Computing: Networking, Applications and Worksharing, 2016

A K-Motifs Discovery Approach for Large Time-Series Data Analysis.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

A Self-Evolving Method of Data Model for Cloud-Based Machine Data Ingestion.
Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2015
IBDP: An Industrial Big Data Ingestion and Analysis Platform and Case Studies.
Proceedings of the International Conference on Identification, 2015


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