Yameng Guo

According to our database, Yameng Guo authored at least 10 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

When subgraphs outperform graphs: a scalable training strategy for churn prediction on large class-imbalanced networks.

Yameng Guo, Seppe vanden Broucke

Data Min. Knowl. Discov., April, 2026

2025

Redundant feature screening method for human activity recognition based on attention purification mechanism.

Hanyu Liu, Xiaoyang Li, Yixuan Jiang, Haotian Tang, Dongchen Wu, Yameng Guo

CoRR, March, 2025

HexaClus: Interpretable Hexagonal Supervised Spatial Clustering.

Yameng Guo, Seppe vanden Broucke

Proceedings of the 4th International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2025) co-located with the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025), 2025

2024

Enhancing geospatial prediction models with feature engineering from road networks: a graph-driven approach.

Yameng Guo, Seppe vanden Broucke

Int. J. Geogr. Inf. Sci., August, 2024

Learning from Uncertainty: Improving Churn Prediction using Conformal Confidence Intervals.

Yameng Guo, Seppe vanden Broucke

Proceedings of the International Conference on Machine Learning and Applications, 2024

A Critique on Transductive Evaluation for GNN Node Classification.

Yameng Guo, Seppe vanden Broucke

Proceedings of the From Data to Models and Back - 12th International Symposium, 2024

Understanding Organizational Transitions: Interpretable Top Manager Turnover Prediction using a Heterogeneous Graph Neural Network.

Yameng Guo, Qiuzhen Ren, Seppe vanden Broucke

Proceedings of the 2024 8th International Conference on Computer Science and Artificial Intelligence, 2024

2023

Geospatial Prediction Using Road Topology: A Graph-based Perspective.

Yameng Guo, Seppe vanden Broucke

Proceedings of the 2nd International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2023) co-located with the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023

2020

Local differential privacy for social network publishing.

Peng Liu, Yuanxin Xu, Quan Jiang, Yuwei Tang, Yameng Guo, Li-e Wang, Xianxian Li

Neurocomputing, 2020

2017

Transparent Link: A Framework of Anonymizing MSA-Dataset Based on Probabilistic Graphical Model.

Li-e Wang, Yameng Guo, Xianxian Li

Proceedings of the Third IEEE International Conference on Big Data Computing Service and Applications, 2017