Maojun Wang

Orcid: 0000-0002-4791-3742

According to our database1, Maojun Wang authored at least 19 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

On csauthors.net:

Bibliography

2026
Enhancing signed graph neural networks through curriculum-based training.
Neural Networks, 2026

SSEFormer: A sign-sensitive transformer with semantic fusion for link sign prediction.
Neurocomputing, 2026

IncepFold: A Deep Learning Framework for 3D Genome Prediction in Diverse Plant Species.
Proceedings of the Database Systems for Advanced Applications, 2026

2025
DPCformer: An Interpretable Deep Learning Model for Genomic Prediction in Crops.
CoRR, October, 2025

Trustworthy GNNs with LLMs: A Systematic Review and Taxonomy.
CoRR, February, 2025

CSGDN: contrastive signed graph diffusion network for predicting crop gene-phenotype associations.
Briefings Bioinform., January, 2025

Validated visual features of Multi-Perspective imagery with Explainable Machine learning for detecting rural vacant courtyards in North China.
Int. J. Appl. Earth Obs. Geoinformation, 2025

Deep Learning and Explainable AI: New Pathways to Genetic Insights.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

DPCformer: An Interpretable Deep Learning Model for Genomic Prediction in Crops.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Self-Explainable Graph Transformer for Link Sign Prediction.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
CSGDN: Contrastive Signed Graph Diffusion Network for Predicting Crop Gene-phenotype Associations.
CoRR, 2024

Verbalized Graph Representation Learning: A Fully Interpretable Graph Model Based on Large Language Models Throughout the Entire Process.
CoRR, 2024

SE-SGformer: A Self-Explainable Signed Graph Transformer for Link Sign Prediction.
CoRR, 2024

Mitigating Degree Bias in Signed Graph Neural Networks.
CoRR, 2024

2023
Tcbf: a novel user-friendly tool for pan-3D genome analysis of topologically associating domain in eukaryotic organisms.
Bioinform., September, 2023

Considerations for SiC super junction MOSFET: On-resistance, gate structure, and oxide shield.
Microelectron. J., 2023

2019
Toward Reliable Extraction of the Properties of Border Traps in Lateral GaN Power MOSFET with a Distributed Network Model.
Proceedings of the International Conference on IC Design and Technology, 2019

High-Performance Quasi-Vertical GaN Schottky Barrier Diode on Silicon Substrate with a Low Dislocation Density Drift Layer.
Proceedings of the International Conference on IC Design and Technology, 2019

Design of Air-Cooled Control System for Intelligent Transformer.
Proceedings of the International Conference on Advanced Machine Learning Technologies and Applications, 2019


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