Qi Li

Orcid: 0000-0003-1896-7044

Affiliations:

Beijing Institute of Technology, School of Software, China

According to our database¹, Qi Li authored at least 12 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Coresets for fast causal discovery with the additive noise model.

[BibT_eX]

[DOI]

Pattern Recognit., April, 2024

DiffCrime: A Multimodal Conditional Diffusion Model for Crime Risk Map Inference.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Urban Sensing for Multi-Destination Workers via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

HANM: Hierarchical Additive Noise Model for Many-to-One Causality Discovery.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

A novel open-set clustering algorithm.

[BibT_eX]

[DOI]

Inf. Sci., November, 2023

How to improve the accuracy of clustering algorithms.

[BibT_eX]

[DOI]

Inf. Sci., May, 2023

Causal Discovery via Causal Star Graphs.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2023

Density Ratio Peak Clustering.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2021

Extreme clustering - A clustering method via density extreme points.

[BibT_eX]

[DOI]

Inf. Sci., 2021

<i>HIBOG</i>: Improving the clustering accuracy by ameliorating dataset with gravitation.

[BibT_eX]

[DOI]

Inf. Sci., 2021

2018

δ-Open set clustering - A new topological clustering method.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2018

Clustering by differencing potential of data field.

[BibT_eX]

[DOI]

Computing, 2018

Qi Li

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