Yang Liu
Orcid: 0000-0001-7604-8279Affiliations:
- Potsdam Institute for Climate Impact Research, Potsdam Institute for Climate Impact Research, Germany
- Technical University of Berlin, Department of Computer Science, Germany
  According to our database1,
  Yang Liu
  authored at least 22 papers
  between 2015 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
- 
    on orcid.org
On csauthors.net:
Bibliography
  2025
Flow to Candidate: Temporal Knowledge Graph Reasoning With Candidate-Oriented Relational Graph.
    
  
    IEEE Trans. Neural Networks Learn. Syst., April, 2025
    
  
    IEEE Trans. Syst. Man Cybern. Syst., February, 2025
    
  
Diffusion Source Inference for Large-Scale Complex Networks Based on Network Percolation.
    
  
    IEEE Trans. Neural Networks Learn. Syst., January, 2025
    
  
AI-enhanced robust method for integrated healthcare resource pre-positioning and patient scheduling.
    
  
    Int. J. Prod. Res., 2025
    
  
An efficient structure-driven multiplex network dismantling approach based on network percolation.
    
  
    Expert Syst. Appl., 2025
    
  
  2024
    IEEE/ACM Trans. Netw., August, 2024
    
  
Efficient approaches for attaining epidemic-free networks with minimum edge removal set.
    
  
    Commun. Nonlinear Sci. Numer. Simul., March, 2024
    
  
Vital Nodes Identification via Evolutionary Algorithm With Percolation Optimization in Complex Networks.
    
  
    IEEE Trans. Netw. Sci. Eng., 2024
    
  
Diffusion Containment in Complex Networks Through Collective Influence of Connections.
    
  
    IEEE Trans. Inf. Forensics Secur., 2024
    
  
    Inf. Sci., 2024
    
  
    Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
    
  
    Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
    
  
Relation-Entity Hybrid Learning Graph Model for Few-Shot Temporal Knowledge Graph Forecasting.
    
  
    Proceedings of the Database Systems for Advanced Applications, 2024
    
  
  2023
Unsupervised feature selection through combining graph learning and ℓ2,0-norm constraint.
    
  
    Inf. Sci., April, 2023
    
  
  2022
PrEF: Percolation-based Evolutionary Framework for the diffusion-source-localization problem in large networks.
    
  
    CoRR, 2022
    
  
  2021
Identification of nodes and Networks: robustness, immunization, and explosive synchronization.
    
  
    PhD thesis, 2021
    
  
  2019
Framework of Evolutionary Algorithm for Investigation of Influential Nodes in Complex Networks.
    
  
    IEEE Trans. Evol. Comput., 2019
    
  
Frequency-truncation fast-slow analysis for parametrically and externally excited systems with two slow incommensurate excitation frequencies.
    
  
    Commun. Nonlinear Sci. Numer. Simul., 2019
    
  
  2018
    Soft Comput., 2018
    
  
  2017
    Int. J. Inf. Commun. Technol., 2017
    
  
  2015
    Int. J. Unconv. Comput., 2015