Mingjie Zhao

Orcid: 0009-0009-5517-4845

Affiliations:
  • Guangdong University of Technology, School of Computer Science and Technology, China


According to our database1, Mingjie Zhao authored at least 12 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Trending Applications of Large Language Models: A User Perspective Survey.
IEEE Trans. Artif. Intell., April, 2026

Beyond Statistical Co-occurrence: Unlocking Intrinsic Semantics for Tabular Data Clustering.
CoRR, April, 2026

Learning Unbiased Cluster Descriptors for Interpretable Imbalanced Concept Drift Detection.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2026

Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Categorical Data Clustering via Value Order Estimated Distance Metric Learning.
Proc. ACM Manag. Data, 2025

SDENK: Unbiased subspace density-k-clustering.
Neurocomputing, 2025

Learning unified distance metric for heterogeneous attribute data clustering.
Expert Syst. Appl., 2025

Robust Qualitative Data Clustering via Learnable Multi-Metric Space Fusion.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Order Is All You Need for Categorical Data Clustering.
CoRR, 2024

Learning Order Forest for Qualitative-Attribute Data Clustering.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

MGOD: Multi-Granular Outlier Detection with Clustlier Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Unsupervised Concept Drift Detection via Imbalanced Cluster Discriminator Learning.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023


  Loading...