Xinjun Wang

Orcid: 0000-0001-8504-1028

Affiliations:

School of Software, Shandong University, Jinan, China

According to our database¹, Xinjun Wang authored at least 26 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2026

MGFNet: Multi-granularity medical pattern fusion network for patient risk prediction.

[BibT_eX]

[DOI]

Pattern Recognit., 2026

2025

HPformer: Low-Parameter Transformer With Temporal Dependency Hierarchical Propagation for Health Informatics.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., November, 2025

Multimodal contrastive learning with hyperbolic geometry for KG-based game recommendation.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., November, 2025

Cross-space topological contrastive learning for knowledge graph-aware issue recommendation.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., May, 2025

Electricity behaviors anomaly detection based on multi-feature fusion and contrastive learning.

[BibT_eX]

[DOI]

Inf. Syst., 2025

MuPaST: Multi-Period Aware Spatio-Temporal Representation Learning for Multivariate Time Series Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

2024

DPHM-Net:de-redundant multi-period hybrid modeling network for long-term series forecasting.

[BibT_eX]

[DOI]

World Wide Web (WWW), July, 2024

MicroHFRCL: A History Faults Based Root Cause Localization Framework in Microservice Systems.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

KLECA: knowledge-level-evolution and category-aware personalized knowledge recommendation.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., March, 2023

Guided node graph convolutional networks for repository recommendation.

[BibT_eX]

[DOI]

Intell. Data Anal., 2023

Temporal Density-aware Sequential Recommendation Networks with Contrastive Learning.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2023

Mixed-Curvature Manifolds Interaction Learning for Knowledge Graph-aware Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Multi-hop Relational Graph Attention Network for Text-to-SQL Parsing.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Category Enhanced Dual View Contrastive Learning for Session-Based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

FedADP: Communication-Efficient by Model Pruning for Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

A Collaborative Cross-Attention Drug Recommendation Model Based on Patient and Medical Relationship Representations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Efficient Log Anomaly Detection Based on Dimension Reduction and Attention Aware TCN.

[BibT_eX]

[DOI]

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

FSFP: A Fine-Grained Online Service System Performance Fault Prediction Method Based on Cross-attention.

[BibT_eX]

[DOI]

Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

Test Case Level Predictive Mutation Testing Combining PIE and Natural Language Features.

[BibT_eX]

[DOI]

Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

2022

MSIPA: Multi-Scale Interval Pattern-Aware Network for ICU Transfer Prediction.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2022

A Drug Recommendation Model Based on Message Propagation and DDI Gating Mechanism.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

D3-SACNN: DGA Domain Detection With Self-Attention Convolutional Network.

[BibT_eX]

[DOI]

IEEE Access, 2022

Cross-modal Knowledge Graph Contrastive Learning for Machine Learning Method Recommendation.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

MTSSP: Missing Value Imputation in Multivariate Time Series for Survival Prediction.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

GGATB-LSTM: Grouping and Global Attention-based Time-aware Bidirectional LSTM Medical Treatment Behavior Prediction.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2021

DEKR: Description Enhanced Knowledge Graph for Machine Learning Method Recommendation.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Xinjun Wang

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