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๐ญ I have graduated from North China Electric Power University.
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๐ญ Iโm currently working on Tianjin University.
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๐ฑ My undergraduate research focused on electric load forecasting and federated learning. My current research is Graph Machine Learning.
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๐ซ How to reach me: [email protected].
- J. Li, Y. Yang, Q. Hu, X. Wang, and H. Gao, Public Opinion Field Effect Fusion in Representation Learning for Trending Topics Diffusion (NeurIPS 2023)
- J. Li, Y. Yang, Q. Hu, X. Wang, and H. Gao, Hierarchical Label Inference Incorporating Attribute Semantics in Attributed Networks (ICDM 2023)
- J. Li, Y. Yang, Q. Hu, X. Wang, and H. Gao, Hierarchical Label Inference in Dynamic Attributed Networks via Label Semantics (Under Peer Review (TKDE 2024))
- J. Li, R. Jiao, S. Wang, and H. He, An Ensemble Load Forecasting Model Based on Online Error Updating (Proceedings of the CSEE)
- R. Jiao, J. Chu, J. Li, and W. Zhang, Personalized Federated Multi-region Load Forecasting Method Based on Data Decomposition (Proceedings of the CSEE)