Chichun Zhou
Orcid: 0000-0002-5133-2668Affiliations:
- Dali University, School of Engineering, Yunnan, China
- ; Air-Space-Ground Integrated Intelligence and Big Data Application Engineering Research Center of Yunnan Provincial Department of Education, China
- Tianjin University, China (PhD 2018)
According to our database1,
Chichun Zhou
authored at least 24 papers
between 2020 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Human-machine knowledge hybrid augmentation method for surface defect detection based few-data learning.
J. Intell. Manuf., March, 2025
Time-EAPCR-T: A Universal Deep Learning Approach for Anomaly Detection in Industrial Equipment.
CoRR, March, 2025
Time-EAPCR: A Deep Learning-Based Novel Approach for Anomaly Detection Applied to the Environmental Field.
CoRR, March, 2025
Inorganic Catalyst Efficiency Prediction Based on EAPCR Model: A Deep Learning Solution for Multi-Source Heterogeneous Data.
CoRR, March, 2025
Unsupervised Waste Classification By Dual-Encoder Contrastive Learning and Multi-Clustering Voting (DECMCV).
CoRR, March, 2025
Renaissance of Literate Programming in the Era of LLMs: Enhancing LLM-Based Code Generation in Large-Scale Projects.
CoRR, February, 2025
A 3M-Hybrid Model for the Restoration of Unique Giant Murals: A Case Study on the Murals of Yongle Palace.
IEEE Access, 2025
2024
An innovative unsupervised gait recognition based tracking system for safeguarding large-scale nature reserves in complex terrain.
Expert Syst. Appl., 2024
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns.
CoRR, 2024
Unsupervised Real Time and Early Anomalies Detection Method for Sewer Networks Systems.
IEEE Access, 2024
2023
Simple but Effective Unsupervised Classification for Specified Domain Images: A Case Study on Fungi Images.
CoRR, 2023
Human-machine knowledge hybrid augmentation method for surface defect detection based few-data learning.
CoRR, 2023
A Data Augmentation Method and the Embedding Mechanism for Detection and Classification of Pulmonary Nodules on Small Samples.
CoRR, 2023
2022
Early Abnormal Detection of Sewage Pipe Network: Bagging of Various Abnormal Detection Algorithms.
CoRR, 2022
2021
Failure in Stock Price Prediction: A Comparison bettwen the Curve-Shape-Feature and Non-Curve-Shape-Feature Modes of Existing Machine Learning Algorithms.
Int. J. Comput. Commun. Control, 2021
Why Existing Machine Learning Methods Fails At Extracting the Information of Future Returns Out of Historical Sctock Prices : the Curve-Shape-Feature and Non-Curve-Shape-Feature Modes.
CoRR, 2021
An Unsupervised Deep-Learning Method for Fingerprint Classification: the CCAE Network and the Hybrid Clustering Strategy.
CoRR, 2021
An Effective and Efficient Method to Solve the High-Order and the Non-Linear Ordinary Differential Equations: the Ratio Net.
CoRR, 2021
2020
Networks with pixels embedding: a method to improve noise resistance in images classification.
CoRR, 2020