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π I received my bachelor's and master's degrees from North China Electric Power University and Tianjin University respectively.
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π I'm currently working on the research related to the ERNIE Bot at Baidu.
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π± My research includes LLM, RL, Graph Machine Learning and Time Series Forecasting.
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π« How to reach me: lijunliang@tju.edu.cn.
- J. Li, Y. Wang, Y. Chen, Y. Ran, R. Zhang, J. Liu, H. Wu, and H. Wang, Knowledge-Level Consistency Reinforcement Learning: Dual-Fact Alignment for Long-Form Factuality (Under Peer Review) [π§Ύ Paper] ο½ [π» Code] ο½ [π€ Models]
- J. Li, Y. Yang, Y. Zhang, Q. Hu, A. Zhao, and H. Gao, Public Opinion Field Effect and Hawkes Process Join Hands for Information Popularity Prediction (AAAI 2025) [π§Ύ Paper] ο½ [π» Code]
- 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) [π§Ύ Paper] ο½ [π» Code]
- J. Li, Y. Yang, Q. Hu, X. Wang, and H. Gao, Hierarchical Label Inference Incorporating Attribute Semantics in Attributed Networks (ICDM 2023) [π§Ύ Paper] ο½ [π» Code]
- J. Li, Y. Yang, Q. Hu, X. Wang, and H. Gao, Hierarchical Label Inference in Dynamic Attributed Networks via Label Semantics (Under Peer Review (TOIS 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)