Jisheng Qin

Publications

2026

2025

2024

Heterogeneity Modeling with Flexibility-based Graph Neural Networks

đŸ‘€ Jisheng Qin, Tao Tao, Zijie Liu, Haibo Chen and Shenghui Zhao.

đŸ›ïž To appear in 2024 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA).

🔗 [Link]

Efficient Group-Aware Graph Neural Network for Air Quality Forecasting in Small-scale Spaces

đŸ‘€ Jisheng Qin, Zijie Liu, Wantong Sui and Shenghui Zhao.

đŸ›ïž To appear in 2024 International Applied Computational Electromagnetics Society Symposium (ACES-China).

🔗 [Link]

Modeling Heterogeneity with Flexible and Semantic Aligned Graph Neural Networks

đŸ‘€ Wantong Sui, Zijie Liu, Shenghui Zhao and Jisheng Qin*.

đŸ›ïž To appear in 2024 International Applied Computational Electromagnetics Society Symposium (ACES-China).

🔗 [Link]

2023

Context-sensitive graph representation learning

đŸ‘€ Jisheng Qin, Xiaoqin Zeng, and Yang Zou.

đŸ›ïž To appear in International Journal of Machine Learning and Cybernetics.

🔗 [Link]

2022

Structural reinforcement-based graph convolutional networks

đŸ‘€ Jisheng Qin, Qianqian Wang, and Tao Tao.

đŸ›ïž To appear in Connection Science.

🔗 [Link]

Multi-Semantic Alignment Graph Convolutional Network

đŸ‘€ Jisheng Qin, Xiaoqin Zeng, and Yang Zou.

đŸ›ïž To appear in Connection Science.

🔗 [Link]

Feature recommendation strategy for graph convolutional network

đŸ‘€ Jisheng Qin, Xiaoqin Zeng, and Yang Zou.

đŸ›ïž To appear in Connection Science.

🔗 [Link]

2021

E-GCN: graph convolution with estimated labels

đŸ‘€ Jisheng Qin, Shengli Wu, and E Tang.

đŸ›ïž To appear in Applied Intelligence.

🔗 [Link]