Jisheng Qin
Ph.D

Location: ChuZhou, An'hui, China
Biography  | Recent News   | Publications   | Reading List

Email: jisheng.qin.vip@gmail.com     
[Google Scholar]    [GitHub]

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, My research focuses on graph intelligence and agent-based modeling for educational scenarios:

Recent News

  • 4/2024: Honored to receive a grant from Anhui Engineering Research Center for Intelligent Applications and Security of Industrial Internet. (IASII24-06)

Publications

2026

2024

    ▶ Heterogeneity Modeling with Flexibility-based Graph Neural Networks
    👤 Jisheng Qin, Tao Tao, Zijie Liu, Haibo Chen and Shenghui Zhao.
    🏛️ 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
    👤 Jisheng Qin, Zijie Liu, Wantong Sui and Shenghui Zhao.
    🏛️ To appear in 2024 International Applied Computational Electromagnetics Society Symposium (ACES-China).
    🔗 [Link]

    ▶ Modeling Heterogeneity with Flexible and Semantic Aligned Graph Neural Networks
    👤 Wantong Sui, Zijie Liu, Shenghui Zhao and Jisheng Qin*.
    🏛️ To appear in 2024 International Applied Computational Electromagnetics Society Symposium (ACES-China).
    🔗 [Link]

展开 2024 年之前的论文

2023

    ▶ Context‑sensitive graph representation learning
    👤 Jisheng Qin, Xiaoqin Zeng, and Yang Zou.
    🏛️ To appear in International Journal of Machine Learning and Cybernetics.
    🔗 [Link]

2022

    ▶ Structural reinforcement-based graph convolutional networks
    👤 Jisheng Qin, Qianqian Wang, and Tao Tao.
    🏛️ To appear in Connection Science.
    🔗 [Link]

    ▶ Multi-Semantic Alignment Graph Convolutional Network
    👤 Jisheng Qin, Xiaoqin Zeng, and Yang Zou.
    🏛️ To appear in Connection Science.
    🔗 [Link]

    ▶ Feature recommendation strategy for graph convolutional network
    👤 Jisheng Qin, Xiaoqin Zeng, and Yang Zou.
    🏛️ To appear in Connection Science.
    🔗 [Link]

2021

    ▶ E-GCN: graph convolution with estimated labels
    👤 Jisheng Qin, Shengli Wu, and E Tang.
    🏛️ To appear in Applied Intelligence.
    🔗 [Link]

Reading List

All Rights Reserved by Jisheng Qin. Updating time: 2026.01.01