Chengye Li

Orcid: 0000-0002-3493-2258

According to our database1, Chengye Li authored at least 38 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Multi-step influenza forecasting through singular value decomposition and kernel ridge regression with MARCOS-guided gradient-based optimization.
Comput. Biol. Medicine, February, 2024

Optimized fuzzy K-nearest neighbor approach for accurate lung cancer prediction based on radial endobronchial ultrasonography.
Comput. Biol. Medicine, 2024

A novel machine learning model for efficacy prediction of immunotherapy-chemotherapy in NSCLC based on CT radiomics.
Comput. Biol. Medicine, 2024

Identification of inflammatory response-related molecular mechanisms based on the ATM/ATR/p53 pathway in tumor cells.
Comput. Biol. Medicine, 2024

Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis.
Artif. Intell. Medicine, 2024

2023
Ground Deformation and Permafrost Degradation in the Source Region of the Yellow River, in the Northeast of the Qinghai-Tibet Plateau.
Remote. Sens., June, 2023

Comprehensive analysis of cuproptosis-related genes in immune infiltration and prognosis in lung adenocarcinoma.
Comput. Biol. Medicine, May, 2023

Image segmentation of Intracerebral hemorrhage patients based on enhanced hunger Games search Optimizer.
Biomed. Signal Process. Control., April, 2023

2022
Tuberculous pleural effusion prediction using ant colony optimizer with grade-based search assisted support vector machine.
Frontiers Neuroinformatics, 2022

A multi-strategy enhanced salp swarm algorithm for global optimization.
Eng. Comput., 2022

Chaotic oppositional sine-cosine method for solving global optimization problems.
Eng. Comput., 2022

Horizontal and vertical search artificial bee colony for image segmentation of COVID-19 X-ray images.
Comput. Biol. Medicine, 2022

DGRUnit: Dual graph reasoning unit for brain tumor segmentation.
Comput. Biol. Medicine, 2022

An efficient multilevel thresholding image segmentation method based on the slime mould algorithm with bee foraging mechanism: A real case with lupus nephritis images.
Comput. Biol. Medicine, 2022

2021
Boosted binary Harris hawks optimizer and feature selection.
Eng. Comput., 2021

Chaos-assisted multi-population salp swarm algorithms: Framework and case studies.
Expert Syst. Appl., 2021

Survival exploration strategies for Harris Hawks Optimizer.
Expert Syst. Appl., 2021

Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease.
Comput. Biol. Medicine, 2021

Ant colony optimization with Cauchy and greedy Levy mutations for multilevel COVID 19 X-ray image segmentation.
Comput. Biol. Medicine, 2021

An Effective Machine Learning Approach for Identifying Non-Severe and Severe Coronavirus Disease 2019 Patients in a Rural Chinese Population: The Wenzhou Retrospective Study.
IEEE Access, 2021

2020
Quantum-like mutation-induced dragonfly-inspired optimization approach.
Math. Comput. Simul., 2020

Gaussian mutational chaotic fruit fly-built optimization and feature selection.
Expert Syst. Appl., 2020

Boosted hunting-based fruit fly optimization and advances in real-world problems.
Expert Syst. Appl., 2020

Rationalized fruit fly optimization with sine cosine algorithm: A comprehensive analysis.
Expert Syst. Appl., 2020

Evaluation of Sino Foreign Cooperative Education Project Using Orthogonal Sine Cosine Optimized Kernel Extreme Learning Machine.
IEEE Access, 2020

Predicting Entrepreneurial Intention of Students: An Extreme Learning Machine With Gaussian Barebone Harris Hawks Optimizer.
IEEE Access, 2020

Predicting Green Consumption Behaviors of Students Using Efficient Firefly Grey Wolf-Assisted K-Nearest Neighbor Classifiers.
IEEE Access, 2020

Predicting Cervical Hyperextension Injury: A Covariance Guided Sine Cosine Support Vector Machine.
IEEE Access, 2020

2019
An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks.
Expert Syst. Appl., 2019

Evolving an optimal kernel extreme learning machine by using an enhanced grey wolf optimization strategy.
Expert Syst. Appl., 2019

A new fruit fly optimization algorithm enhanced support vector machine for diagnosis of breast cancer based on high-level features.
BMC Bioinform., 2019

Chaos-Induced and Mutation-Driven Schemes Boosting Salp Chains-Inspired Optimizers.
IEEE Access, 2019

Predicting Intentions of Students for Master Programs Using a Chaos-Induced Sine Cosine-Based Fuzzy K-Nearest Neighbor Classifier.
IEEE Access, 2019

2018
Developing a new intelligent system for the diagnosis of tuberculous pleural effusion.
Comput. Methods Programs Biomed., 2018

Chaos Enhanced Bacterial Foraging Optimization for Global Optimization.
IEEE Access, 2018

2015
A Disjunctive VMI Model Based on XSM.
Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

SPEMS: A Stealthy and Practical Execution Monitoring System Based on VMI.
Proceedings of the Cloud Computing and Security - First International Conference, 2015

A Model of Dynamic Malware Analysis Based on VMI.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015


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