Spatial Meta Learning With Comprehensive Prior Knowledge Injection for Service Time Prediction.
IEEE Trans. Knowl. Data Eng., February, 2025
Highly improve the accuracy of clustering algorithms based on shortest path distance.
Inf. Sci., 2025
Coresets for fast causal discovery with the additive noise model.
Pattern Recognit., April, 2024
DWCL: Dual-Weighted Contrastive Learning for Multi-View Clustering.
CoRR, 2024
DiffCrime: A Multimodal Conditional Diffusion Model for Crime Risk Map Inference.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Urban Sensing for Multi-Destination Workers via Deep Reinforcement Learning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
HANM: Hierarchical Additive Noise Model for Many-to-One Causality Discovery.
IEEE Trans. Knowl. Data Eng., December, 2023
A novel open-set clustering algorithm.
Inf. Sci., November, 2023
How to improve the accuracy of clustering algorithms.
Inf. Sci., May, 2023
Causal Discovery via Causal Star Graphs.
ACM Trans. Knowl. Discov. Data, 2023
Density Ratio Peak Clustering.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023
Extreme clustering - A clustering method via density extreme points.
Inf. Sci., 2021
<i>HIBOG</i>: Improving the clustering accuracy by ameliorating dataset with gravitation.
Inf. Sci., 2021
δ-Open set clustering - A new topological clustering method.
WIREs Data Mining Knowl. Discov., 2018
Clustering by differencing potential of data field.
Computing, 2018