* NeurIPS'25 D&B track: SeasonBench-EA: A Multi-Source Benchmark for Seasonal Prediction and Numerical Model Post-Processing in East Asia (in preparation)
* Geophysical Research Letters: An Interpretable Weather Forecasting Model With Separately-Learned Dynamics and Physics Neural Networks (2025)
* Journal of Advances in Modeling Earth Systems: ResU‐Deep: Improving the Trigger Function of Deep Convection in Tropical Regions With Deep Learning (2023)
* arXiv preprint: Decomposing weather forecasting into advection and convection with neural networks (2024)
- Awards:
* 2024 Tsinghua comprehensive scholarship
* 2021 Outstanding graduate of Shanghai Jiao Tong University
* 2021 Undergraduate progress scholarship
* 2020 Undergraduate progress scholarship
* 2019 Undergraduate progress scholarship
Research Experience
- 2024.08 - Present, Research Intern at National Supercomputing Center (Shenzhen), focusing on weather predictability and interpretability, flood season predictions
- 2021.03 - 2021.05, Research Intern at Pilot National Laboratory for Marine Science and Technology, optimizing NEMO ocean model on the Sunway Supercomputer
Education
- Ph.D. Candidate: 2021.09 - Present, Department of Earth System Science, Tsinghua University, Advisor: Prof. Haohuan Fu
- B. Eng: 2017.09 - 2021.08, UM-SJTU Joint Institute, Shanghai Jiao Tong University, Major: Mechanical Engineering
- Winter Exchange Program: 2019.01 - 2019.02, Istituto Tecnologico de Buenos Aires, Argentina
Background
- Research Interests: Intersection of atmospheric science and artificial intelligence
- Field of Study: Atmospheric Science
- Brief Introduction: INTJ personality type Ph.D. candidate, currently conducting research at the Department of Earth System Science, Tsinghua University.