Wuxin Wang (王悟信)

Wuxin Wang (王悟信)

National University of Defense Technology

I am a Ph.D student of computer science at the College of Computer Science and Technology, National University of Defense Technology, advised by Prof. Kaijun Ren (任开军) and Associate Prof. Boheng Duan (段博恒). I also collaborate with Lei Bai (白磊) and Ben Fei (费奔) losely. I am now working on AI for Earth. For example, deep learning-based data assimilation, end-to-end weather forecasting foundation models.

I won the Lei Jun Scholarship (雷军奖学金) of Wuhan Univerisity (School of Remote Sensing and Information Engineering, Class of 2016, Top 1) in 2019.

My research interests include spatial-temporal forecasting, data assimilation, foundation model, and deep learning. I have published 15 papers in top journals and conferences with total 63 citations.

🔥 News

📝 Publications

Preprints

  • Wuxin Wang, Weicheng Ni, Lilan Huang, Tao Han, Ben Fei, Shuo Ma, Taikang Yuan, Yanlai Zhao, Kefeng Deng, Xiaoyong Li, Boheng Duan, Lei Bai, Kaijun Ren. XiChen: An observation-scalable fully AI-driven global weather forecasting system with 4D variational knowledge[J]. arxiv preprint arxiv:2507.09202, 2025. doi
  • Wuxin Wang, Weicheng Ni, Tao Han, Taikang Yuan, Xiaoyong Li, Lei Bai, Boheng Duan, Kaijun Ren. A Benchmark for AI-based Weather Data Assimilation[J]. arxiv preprint arxiv:2408.11438, 2024. doi

Journal Articles

  • Lilan Huang, Hongze Leng, Junqiang Song, Dongzi Wang, Wuxin Wang, Ruisheng Hu, Hang Cao. An Adaptive Variance Adjustment Strategy for a Static Background Error Covariance Matrix—Part I: Verification in the Lorenz-96 Model[J]. Applied Sciences, 2025, 15(12): 6399. doi
  • Wuxin Wang, Boheng Duan, Weicheng Ni, Jingze Lu, Taikang Yuan, Dawei Li, Juan Zhao, Kaijun Ren. A Four-Dimensional Variational Informed Generative Adversarial Network for Data Assimilation[J]. Journal of Advances in Modeling Earth Systems, 2025, 17(6), e2024MS004437. doi (JCR Q1, Top journal in the field of numerical weather prediction)
  • Weicheng Ni, Ad Stoffelen, Kaijun Ren, Jor Vogelzang, Yanlai Zhao, Xiaofeng Yang, Wuxin Wang. Enhanced Tropical Cyclone ASCAT Winds Guided by SAR-learned Spatial Structure Functions[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, doi
  • Wuxin Wang, Jinrong Zhang, Qingguo Su, Xingyu Chai, Jingze Lu, Weicheng Ni, Boheng Duan, Kaijun Ren. Accurate initial field estimation for weather forecasting with a variational constrained neural network[J]. npj Climate and Atmospheric Science 7, 223 (2024). doi (JCR Q1, Top journal in the field of meteorology and oceanography)
  • Qingguo Su, Xinjie Shi, Wuxin Wang, Di Zhang, Kefeng Deng, Kaijun Ren. A Novel Generative Adversarial Network Based on Gaussian-perceptual for Downscaling Precipitation[J]. IEEE Geoscience and Remote Sensing Letters. doi
  • Xinjie Shi, Qingguo Su, Wuxin Wang, Weicheng Ni, Boheng Duan, and Kaijun Ren. TCNet: Triple Collocation-Based Network for Ocean Surface Wind Speed Retrieval on CYGNSS[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, doi
  • Wuxin Wang, Kaijun Ren, Boheng Duan, Junxing Zhu, Xiaoyong Li, Weicheng Ni, Jingze Lu, Taikang Yuan. A Four‐Dimensional Variational Constrained Neural Network‐Based Data Assimilation Method[J]. Journal of Advances in Modeling Earth Systems, 2024, 16(1): e2023MS003687. doi (JCR Q1, Top journal in the field of numerical weather prediction)
  • Taikang Yuan, Junxing Zhu, Wuxin Wang, Jingze Lu, Xiang Wang, Xiaoyong Li, and Kaijun Ren. A space-time partial differential equation based physics-guided neural network for sea surface temperature prediction[J]. Remote Sensing, 2023, 15(14): 3498. doi
  • Xingyu Chai, Jincai Li, Jun Zhao, Wuxin Wang, and Xiaofeng Zhao. LGB-PHY: An evaporation duct height prediction model based on physically constrained lightGBM algorithm[J]. Remote Sensing, 2022, 14(14): 3448. doi

Conference Proceedings

  • Weicheng Ni, A Stoffelen, Kaijun Ren, J Vogelzang, Yanlai Zhao, Wuxin Wang. Monitoring of Tropical Cyclones at Enhanced Resolution[C]. In IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 5803-5806), doi
  • Weicheng Ni, Kaijun Ren, Yanlai Zhao, Wuxin Wang. Quality Assessment of MAXSS Global Merged Wind Products under Tropical Cyclone Conditions[C]. Photonics & Electromagnetics Research Symposium (PIERS), 2024, doi
  • Jingze Lu, Kaijun Ren, Taikang Yuan, and Wuxin Wang. Phase-Space-Guided Deep Learning For Time Series Forecasting[C]//ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2024: 7200-7204. doi (CCF B, Top conferences in speech and signal processing)
  • Taikang Yuan, Junxing Zhu, Kaijun Ren, Wuxin Wang, Xiang Wang, and Xiaoyong Li. Neural network driven by space-time partial differential equation for predicting sea surface temperature[C]//2022 IEEE International Conference on Data Mining (ICDM). IEEE, 2022: 656-665. doi (CCF B, Top conferences in data mining)
  • Haodi Wang, Wen Chen, Peilong Yu, Wuxin Wang, Wen Zhang, and Kaijun Ren. Variabilities of Strait Throughflow in the Northwest Pacific Based on HYCOM and PHY Data[C]//2021 4th International Conference on Information Communication and Signal Processing (ICICSP). IEEE, 2021: 621-626. doi

🎖 Selected Honors and Awards

  • 2021.06 Silver Medal in Kaggle Competition ‘BirdCLEF-2021’ Top 3% (18/848).
  • 2021.03 Top 3% (74/2849) in Tianchi Competition ‘AI Earth’.
  • 2020.06 Outstanding Bachelor’s Degree Thesis of Wuhan University.
  • 2019.10 Lei Jun Scholarship, Wuhan University (School of Remote Sensing and Information Engineering, Class of 2016, Top 1).
  • 2019.08 Second Prize of China Software Cup Student Software Design Competition.
  • 2019.06 First Prize of Hubei Challenge Cup.
  • 2018.09 Second Class Scholarship, Wuhan University.
  • 2017.09 Second Class Scholarship, Wuhan University.

    📖 Educations

  • 2020.09 - (now), PhD student majored in Computer Science, National Univeristy of Defense Technology.
  • 2016.09 - 2020.06, Bachelor’s Degree majored in Sptaial Information and Digital Technology, Wuhan University.

💬 Invited Talks