The vast oceans record the impacts of climate change and human activities on the Earth system. Over the past century, oceanographic scientists have collected extensive ocean profile data to reflect variations of oceanic elements, such as dissolved oxygen. However, due to the sophisticated measurements and high costs, h...
Bin Lu, Jingjing Shen, Ze Zhao et al.· Proceedings of the 32nd ACM...· 0 citations
Jingwei is a 4D spatiotemporal graph transfer learning model that reconstructs ocean oxygen levels globally over the past six decades on a 1◦ x 1◦ grid, covering depths of 0-5500 meters, and foresee Jingwei revolutionizing observation-based ocean modeling and deepening the authors' understanding of the breathless ocean...
Bin Lu, Luyu Han, Ze Zhao et al.· Proceedings of the 32nd ACM...· 0 citations
Jingwei is a 4D spatiotemporal graph transfer learning model that reconstructs ocean oxygen levels globally over the past six decades on a 1◦ x 1◦ grid, covering depths of 0-5500 meters, and foresee Jingwei revolutionizing observation-based ocean modeling and deepening the authors' understanding of the breathless ocean...
Bin Lu, Luyu Han, Ze Zhao et al.· Proceedings of the 32nd ACM...· 0 citations
The first oceanic 4D sparse observation reconstruction dataset, named OceanVerse, is presented, providing a novel large-scale dataset that meets the MNAR (Missing Not at Random) condition, supporting more effective model comparison, generalization evaluation and potential advancement of scientific reconstruction archit...
Bin Lu, Jingjing Shen, Ze Zhao et al.· Proceedings of the 32nd ACM...· 0 citations
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