Yibowen Zhao

Orcid: 0009-0008-8876-7893

According to our database1, Yibowen Zhao authored at least 14 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Sofed: A Swift Online Federated Graph Learning Framework for Traffic Streaming Data Prediction.
IEEE Trans. Intell. Transp. Syst., May, 2026

Generating Counterfactual Temporal Motifs: Unraveling the Mysteries of Temporal Graph Neural Networks.
Data Sci. Eng., March, 2026

2025
A Multi-Objective Explanation Framework for Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., December, 2025

Beyond Traditional Diagnostics: Transforming Patient-Side Information into Predictive Insights with Knowledge Graphs and Prototypes.
CoRR, December, 2025

Comprehensive Survey on Prompts Generating via Knowledge-Guided Chain-of-Thought.
Int. J. Crowd Sci., 2025

Conditional Potential User Mining framework via explainable surrogate models.
Expert Syst. Appl., 2025

Effective test-time personalization for federated semantic segmentation.
Expert Syst. Appl., 2025

An Efficient Interaction Human-AI Synergy System Bridging Visual Awareness and Large Language Model for Intensive Care Units.
Proceedings of the HCI International 2025 - Late Breaking Papers, 2025

The Illusion of Randomness: How LLMs Fail to Emulate Stochastic Decision-Making in Rock-Paper-Scissors Games?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Meta Relation Assisted Explanatory Model for Heterogeneous Graph Neural Networks.
Proceedings of the Database Systems for Advanced Applications, 2025

2024
Causal Denoising Framework for Generalizable Recommendation System using Graph Neural Network.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Multi-objective Graph Neural Network Explanatory Model with Local and Global Information Preservation.
Proceedings of the Database Systems for Advanced Applications, 2024

2023
EAPR: explainable and augmented patient representation learning for disease prediction.
Health Inf. Sci. Syst., December, 2023

Cross-Domain Credit Default Prediction via Interpretable Ensemble Transfer.
Int. J. Crowd Sci., 2023


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