Jisheng Qin
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Jisheng Qin (秦吉胜) Ph.D Graph Neural Network; Large Language Models; Computer Human Interaction Institute of Computer Engineering and Information Technology Chuzhou University Email: jisheng.qin.vip@gmail.com [Google Scholar]
[GitHub]
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Biography
I received my Ph.D degree from Hohai University in 2023. I am a lecturer in Institute of Computer Engineering and Information Technology, Chuzou University.
Research Interests
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Graph Neural Network; Large Language Models; Computer Human Interaction Jisheng leads the Graph and Data Science (GDS) lab, which researches graph machine learning, focusing on deep learning for graphs, graph-based models, and public interest data science. Their work applies to smart aging, service robotics, and education for children with special needs. |
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Recent News
2024
9/2024: Our paper Modeling Heterogeneity with Flexible and Semantic Aligned Graph Neural Networks is accepted at ACES-China
9/2024: Our paper Efficient Group-Aware Graph Neural Network for Air Quality Forecasting in Small-scale Spaces is accepted at ACES-China
8/2024: Honored to receive a grant from Chuzhou University Scientific Research Initiation Fund. (2024QD14)
6/2024: Honored to receive a grant from the Higher Education Research Program Project. (2024AH051400)
4/2024: Honored to receive a grant from Anhui Engineering Research Center for Intelligent Applications and Security of Industrial Internet. (IASII24-06)
Preprints
2024
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)
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)
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)
2023 and before
Context-sensitive graph representation learning.
Jisheng Qin, Xiaoqin Zeng, and Yang Zou.
International Journal of Machine Learning and Cybernetics. 2023, 14(6): 2193-2203.
Structural reinforcement-based graph convolutional networks.
Jisheng Qin, Qianqian Wang, and Tao Tao.
Connection Science. 2022, 34(1): 2807-2821.
Multi-Semantic Alignment Graph Convolutional Network.
Jisheng Qin, Xiaoqin Zeng, and Yang Zou.
Connection Science. 2022, 34(1): 2313-2331.
Feature recommendation strategy for graph convolutional network.
Jisheng Qin, Xiaoqin Zeng, and Yang Zou.
Connection Science. 2022, 34(1): 1697-1718.
E-GCN: graph convolution with estimated labels.
Jisheng Qin, Shengli Wu, and E Tang.
Applied Intelligence. 2021, 51: 5007-5015.