Yanru Sun

Yanru Sun

Assistant Researcher

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:blush: Hello! I am Yanru Sun, an Assistant Researcher at the School of Artificial Intelligence, Tianjin University. In June 2026, I obtained my Ph.D. degree from Tianjin University, supervised by Prof. Qinghua Hu and Prof. Zongxia Xie. From February 2025 to March 2026, I was a visiting Ph.D student at Nanyang Technological University (NTU) and the Agency for Science, Technology and Research (A*STAR), Singapore, supervised by Prof. Min Wu and Prof. Chee Keong KWOH. My research interests include time series forecasting, time series foundation models, space weather forecasting, and their applications.

招收2027级硕士研究生，有意者请将个人简历发送至邮箱：yanrusun@tju.edu.cn，欢迎联系交流！

:sparkling_heart: Research Interests

  • Machine Learning: time series forecasting, uncertainty learning, graph representation learning.
  • AI for Time Series: space weather forecasting.

:books: Services

  • Conference PC member: NeurIPS, ICLR, ICML, AAAI, …
  • Journal reviewer: TPAMI, TNNLS, TKDE, Pattern Recognition, …

:tada: Selected Publications

Google Scholar Profile for full publication list.

  1. Jia T, Xie Z, Sun Y, Kudrat D, et al. Lightweight Channel-wise Dynamic Fusion Model: Non-stationary Time Series Forecasting via Entropy Analysis[J]. Informatio Fusion, 2026.
  2. Xiong F, Xie Z, Sun Y, Wang H, et al. SEED: Spectral Entropy-Guided Evaluation of Spatial-Temporal Dependencies for Multivariate Time Series Forecasting[C]. AAAI, 2026.
  3. Sun Y, Xie Z, Eldele E, et al. Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift[C]. NeurIPS, 2025.
  4. Kudrat D, Xie Z, Sun Y, et al. Patch-wise Structural Loss for Time Series Forecasting[C]. ICML, 2025.
  5. Niu W*, Xie Z*, Sun Y*, et al. LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization[C]. ICML, 2025.
  6. Jia T, Xie Z, Sun Y, et al. Lightweight Channel-wise Dynamic Fusion Model: Non-stationary Time Series Forecasting via Entropy Analysis[J]. arXiv preprint arXiv:2503.02609, 2025.
  7. Sun Y, Xie Z, Chen D, et al. Hierarchical classification auxiliary network for time series forecasting[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2025, 39(19): 20743-20751.
  8. Sun Y, Xie Z, Xing H, et al. PPGF: Probability Pattern-Guided Time Series Forecasting[J]. IEEE Transactions on Neural Networks and Learning Systems, 2025.
  9. Sun Y, Xie Z, Chen Y, et al. Accurate Solar Wind Speed Prediction with Multimodality Information[J]. Space: Science & Technology, 2022.
  10. Sun Y, Xie Z, Wang H, et al. Solar Wind Speed Prediction via Graph Attention Network[J]. Space Weather, 2022, 20(7): e2022SW003128.
  11. Sun Y, Xie Z, Chen Y, et al. Solar Wind Speed Prediction With Two-Dimensional Attention Mechanism[J]. Space Weather, 2021, 19(7): e2020SW002707.

:ribbon: Awards

  • First-Year Outstanding Academic Scholarship, 2022
  • First-Class Academic Scholarship, 2021
  • National Scholarship recipient, 2018
  • First Prize in the Software Category of the Blue Bridge Cup Shanxi Division, 2018
  • Second Prize in the “Internet+” College Students’ Innovation and Entrepreneurship Competition, 2018
  • Second Prize in the Undergraduate Group of the North China Five Provinces Competition, 2017