Ruina Bai

Orcid: 0000-0001-7948-878X

According to our database1, Ruina Bai authored at least 18 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Synergistic representation learning via dual sample interactions for multi-view clustering.
Pattern Recognit., 2026

DUIC: User-descriptive intention guided clustering for personalized and understandable document partitions.
Inf. Process. Manag., 2026

Partitioning by preference: Discovering personalized document clusters via user-descriptive clustering intentions.
Inf. Fusion, 2026

Constructing Superior Representations Beyond the Original Documents via a Contrastive Gaussian Fusion Network for Clustering.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Intuitive Thinking: Expanding Large Language Models' Thinking for Rapid Decision-Making on Candidate Corrections in Chinese Grammar Error Correction.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Discovering personalized document partition via intention-aware deep document clustering.
Knowl. Based Syst., 2025

GSAM: A simple and General Stereo Alignment Module for multi-view document clustering.
Knowl. Based Syst., 2025

CSMDC: Exploring consistently context semantics for multi-view document clustering.
Expert Syst. Appl., 2025

A deep ensemble learning model for Chinese spelling check.
Eng. Appl. Artif. Intell., 2025

2024
Adaptive structural enhanced representation learning for deep document clustering.
Appl. Intell., December, 2024

A structural consensus representation learning framework for multi-view clustering.
Knowl. Based Syst., January, 2024

A hierarchical consensus learning model for deep multi-view document clustering.
Inf. Fusion, 2024

Improving Multi-view Document Clustering: Leveraging Multi-structure Processor and Hybrid Ensemble Clustering Module.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Deep structural enhanced network for document clustering.
Appl. Intell., May, 2023

HVAE: A deep generative model via hierarchical variational auto-encoder for multi-view document modeling.
Inf. Sci., April, 2023

2022
Structure enhanced deep clustering network via a weighted neighbourhood auto-encoder.
Neural Networks, 2022

Multi-view Document Clustering with Joint Contrastive Learning.
Proceedings of the Natural Language Processing and Chinese Computing, 2022

2021
Deep multi-view document clustering with enhanced semantic embedding.
Inf. Sci., 2021


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