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Jisheng Qin (秦吉胜) |
Biography
I received my Ph.D degree from the Institute of Intelligence Science and Technology, Hohai University in 2023. My advisor was Prof. Xiaoqin Zeng. I am a lecturer in Computer and information engineering college, Chuzou University. Currently, I focus on the following research topics:- Skeleton-based Action Recognition
- Graph Neural Networks
- Graph Foundation Models
Recent News
05/2025: One paper was accepted by AHKJ
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10/2024: One paper was accepted at ISPA 2024
09/2024: Two paper was accepted at ACES-China 2024
08/2024: Honored to received a grant from Chuzhou University Scientific Research Initiation Fund. (2024QD14)
06/2024: Honored to received a grant from the Higher Education Research Program Project. (2024AH051400)
04/2024: Honored to received a grant from Anhui Engineering Research Center for Intelligent Applications and Security of Industrial Internet. (IASII24-06)
Publications
Preprints
2025
2024
▶ Heterogeneity Modeling with Flexibility-based Graph Neural Networks
👤 Jisheng Qin, Tao Tao, Zijie Liu, Haibo Chen and Shenghui Zhao.
🏛️ The IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2024). (CCF C).
🔗 [Link]
▶ Modeling Heterogeneity with Flexible and Semantic Aligned Graph Neural Networks
👤 Wantong Sui, Zijie Liu, Shenghui Zhao and Jisheng Qin*.
🏛️ 2024 International Applied Computational Electromagnetics Society Symposium (ACES-China 2024).
🔗 [Link]
▶ Efficient Group-Aware Graph Neural Network for Air Quality Forecasting in Small-scale Spaces
👤 Jisheng Qin, Zijie Liu, Wantong Sui and Shenghui Zhao.
🏛️ 2024 International Applied Computational Electromagnetics Society Symposium (ACES-China 2024).
🔗 [Link]
more
2023
▶ Context‑sensitive graph representation learning
👤 Jisheng Qin, Xiaoqin Zeng, and Yang Zou.
🏛️ The International Journal of Machine Learning and Cybernetics, 2023.
🔗 [Link] [PDF]
2022
▶ Structural reinforcement-based graph convolutional networks
👤 Jisheng Qin, Qianqian Wang, and Tao Tao.
🏛️ Connection Science, 2022. (CCF C)
🔗 [Link] [PDF]
▶ Multi-Semantic Alignment Graph Convolutional Network
👤 Jisheng Qin, Xiaoqin Zeng, and Yang Zou.
🏛️ To appear in Connection Science, 2022. (CCF C)
🔗 [Link]
[PDF]
▶ Feature recommendation strategy for graph convolutional network
👤 Jisheng Qin, Xiaoqin Zeng, and Yang Zou.
🏛️ Connection Science, 2022. (CCF C)
🔗 [Link]
[PDF]
2021
▶ E-GCN: graph convolution with estimated labels
👤 Jisheng Qin, Shengli Wu, and E Tang.
🏛️ Applied Intelligence, 2021. (CCF C)
🔗 [Link] [PDF]
Reading List
- 📚 SARPapers: Reading list for Skeleton-based Action Recognition
- 🌈 GNNPapers: Reading list for Graph Neural Networks
- 🍓 GFMPapers: Reading list for Graph Foundation Models
All Rights Reserved by Jisheng Qin. Updating time: 2025.01.01