Xiaocao Ouyang

Orcid: 0000-0002-4626-4373

According to our database1, Xiaocao Ouyang authored at least 24 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Continual deep multi-view clustering via contrastive knowledge replay.
Pattern Recognit., 2026

Beneficial noise learning for open intent classification via granular-ball representation.
Pattern Recognit., 2026

Federated open intent classification via granular-ball knowledge representation.
Neural Networks, 2026

Federated learning for spatio-temporal data mining: a survey.
Inf. Fusion, 2026

Evidence-driven ternary contrastive learning with hierarchical mamba fusion for robust multimodal intent recognition.
Neurocomputing, 2026

Heterogeneous multi-objective contrastive learning for stock prediction.
Expert Syst. Appl., 2026

A twin-branch decoupled network for multi-class unsupervised anomaly detection.
Eng. Appl. Artif. Intell., 2026

2025
Robust open intent classification in many-shot and few-shot scenarios.
Neural Networks, 2025

Enhancing cross-city spatio-temporal prediction via dynamic multi-scale hypergraph learning with domain adversarial training.
Knowl. Based Syst., 2025

Rethinking information fusion: Achieving adaptive information throughput and interaction pattern in graph convolutional networks for collaborative filtering.
Inf. Fusion, 2025

FFS-MCC: Fusing approximation and fuzzy uncertainty measures for feature selection with multi-correlation collaboration.
Inf. Fusion, 2025

Enhancing few-sample spatio-temporal prediction via relational fusion-based hypergraph neural network.
Inf. Fusion, 2025

UWT-Net: Mining Low-Frequency Feature Information for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
CityTrans: Domain-Adversarial Training With Knowledge Transfer for Spatio-Temporal Prediction Across Cities.
IEEE Trans. Knowl. Data Eng., January, 2024

Multimodal federated learning: Concept, methods, applications and future directions.
Inf. Fusion, 2024

Granular-Ball Three-Way Decision for Robust Text Classification.
Proceedings of the Rough Sets - International Joint Conference, 2024

2023
Domain adversarial graph neural network with cross-city graph structure learning for traffic prediction.
Knowl. Based Syst., October, 2023

Dual-channel spatial-temporal difference graph neural network for PM<sub>2.5</sub> forecasting.
Neural Comput. Appl., April, 2023

Diffusion Graph Neural Ordinary Differential Equation Network for Traffic Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2023

2021
Deep matrix factorization with knowledge transfer for lifelong clustering and semi-supervised clustering.
Inf. Sci., 2021

Multi-city traffic flow forecasting via multi-task learning.
Appl. Intell., 2021

Spatial-Temporal Dynamic Graph Convolution Neural Network for Air Quality Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2021

2019
A Consensus Clustering Algorithm for Multitask Multiview Learning.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019


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