Jiawen Chen

Jiawen Chen

Him

Pursuing a PhD (Artificial Intelligence & Systems Science)

Jiawen Chen Personal Website

Short Bio

Hi everyone. I’m a 2nd year PhD student at CCCS Lab, School of Mathematics, Southeast University, Nanjing, China. I feel very fortunate to be advised by Prof. Wenwu Yu and Prof. Duxin Chen. I received my Bachelor’s degree in Information and Computing Science in 2022 and continued my graduate studies at the same institution. My research interests lie at the intersection of complex networks, complex systems, graph representation learning, and higher-order neural networks. I am particularly interested in developing machine learning models, LLM for GNN modeling and higher-order networks. You can find my Google Scholar here, Github Site here. Email Contact: chenjiawen@seu.edu.cn, chenjiawen1210@gmail.com

Background

  • Phd at School of Mathematics, Southeast University, Nanjing, China (Sept 2024 - Jun 2028)

  • Project Intern, specializing and interested in Identification and Structure Inference of Communication Signal Networks. Huawei Research, Nanjing
    (Apr 2024 – July 2024)

  • Master at School of Mathematics, Southeast University, Nanjing, China (Advised by Prof. Wenwu Yu and Prof. Duxin Chen). (Sept 2022 – Jun 2024)

  • Bachelor at Southeast University, Nanjing, China (Advised by Prof. Wenwu Yu and Prof. Duxin Chen). (Sept 2018 – Jun 2022)

Research Publications (Chronological Order)

  1. Chen, Jiawen., He, Yanyan., Shao, Qi., Wei, Mengli., Chen, Duxin., Yu, Wenwu., & Zhao, Yanlong. (2025). MetaHGNIE: Meta-Path Induced Hypergraph Contrastive Learning in Heterogeneous Knowledge Graphs. https://doi.org/10.48550/arXiv.2512.12477

  2. (Survey) Chen, Duxin., Chen, Jiawen, Zhang, Xiaoyu., Jia, Qinghan., Liu, Xiaolu., Sun, Ye., Linyuan Lv & Yu, Wenwu. (2025). Critical nodes identification in complex networks: a survey. Complex Engineering System. (Co-Author)
    https://doi.org/10.48550/arXiv.2507.06164

  3. Chen, Jiawen., Shao, Qi., Chen, Duxin., & Yu, Wenwu. (2025, August). Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive Hypergraphs. In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2 (pp. 167-178). https://doi.org/10.1145/3711896.3736904

  4. Chen, Jiawen., He, Yanyan., Chen, Duxin., Yu, Wenwu. (2025). Investigating Hypernode Classification of Complex Systems Based on High-order Graph Neural Networks. Guidance, Navigation and Control, 5(01), 57-69. (Hypergraph Isomorphism Theory)

  5. (🏆ICGNC ‘24 FengRu Best Paper Award.) Chen, JIawen., He, Yanyan., Chen, Duxin., & Yu, Wenwu. (2024, August). Investigating Hypernode Classification of Social Collective Behavior Based on High Order Graph Neural Networks. In International Conference on Guidance, Navigation and Control (pp. 519-528). Singapore: Springer Nature Singapore.

Academic Services

  • Intived reviewer for IEEE Transactions on Industrial Informatics.