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). I am now working on AI for Earth. For example, deep learning-based data assimilation, and weather forecasting big 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 14 papers in top journals and conferences with total 54 citations.

🔥 News

📝 Publications

Preprints

  • 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
  • Lilan Huang, Hongze Leng, Junqiang Song, Dongzi Wang, Wuxin Wang, Ruisheng Hu, Hang Cao. An adaptive variance adjusting strategy for the climatological background error covariance matrix based on deep reinforcement learning[J]. Preprint 2024. doi

Journal Articles

  • 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