Peilin Xie

Orcid: 0000-0002-6147-7342

According to our database1, Peilin Xie authored at least 21 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Contrastive representation learning and capsule networks enable accurate identification of ferroptosis-related proteins.
J. Cheminformatics, December, 2026

A Novel Observer Design for Disturbance and Attack-Tolerance State Estimation in Microgrids.
IEEE Trans. Smart Grid, March, 2026

2025
Graph-RPI: predicting RNA-protein interactions via graph autoencoder and self-supervised learning strategies.
Briefings Bioinform., May, 2025

StackPIP: An Effective Computational Framework for Accurate and Balanced Identification of Proinflammatory Peptides.
J. Chem. Inf. Model., 2025

AFPDeepPred: A Deep Learning Framework for Accurate Identification of Antifreeze Proteins.
J. Chem. Inf. Model., 2025

MGCL-CAP: Masked Graph Contrastive Learning with Gated Cross-Attention for Chemical Allergenicity Prediction.
J. Chem. Inf. Model., 2025

StackDILI: Enhancing Drug-Induced Liver Injury Prediction through Stacking Strategy with Effective Molecular Representations.
J. Chem. Inf. Model., 2025

Toward high-efficiency, low-resource, and explainable neuropeptide prediction with MSKDNP.
Briefings Bioinform., 2025

Towards Accurate Identification of Anti-Hepatitis C Peptides Using Stack-AHCP.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2025

2024
ACP-CapsPred: an explainable computational framework for identification and functional prediction of anticancer peptides based on capsule network.
Briefings Bioinform., September, 2024

Lyapunov-Based Resilient Cooperative Control for DC Microgrid Clusters Against False Data Injection Cyber-Attacks.
IEEE Trans. Smart Grid, May, 2024

A two-stage computational framework for identifying antiviral peptides and their functional types based on contrastive learning and multi-feature fusion strategy.
Briefings Bioinform., May, 2024

CapsEnhancer: An Effective Computational Framework for Identifying Enhancers Based on Chaos Game Representation and Capsule Network.
J. Chem. Inf. Model., 2024

A Resilient Control Framework for Enhancing Cyber-Security in Microgrids.
Proceedings of the Energy Informatics - 4th Energy Informatics Academy Conference, 2024

2023
Predicting Anti-inflammatory Peptides by Ensemble Machine Learning and Deep Learning.
J. Chem. Inf. Model., December, 2023

A Real-Time Power Management Strategy for Hybrid Electrical Ships Under Highly Fluctuated Propulsion Loads.
IEEE Syst. J., March, 2023

A THD-Based Fault Protection Method Using MSOGI-FLL Grid Voltage Estimator.
Sensors, January, 2023

Dynamic Modeling and Control of High Temperature PEM Fuel Cell and Battery System for Electrical Applications.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

2022
Optimization-Based Power and Energy Management System in Shipboard Microgrid: A Review.
IEEE Syst. J., 2022

2021
A Graph-based Approach for Integrating Biological Heterogeneous Data Based on Connecting Ontology.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Brief Survey on Attack Detection Methods for Cyber-Physical Systems.
IEEE Syst. J., 2020


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