Hu, Weihua

Learning skillful medium-range global weather forecasting

Lam, R., Sanchez-Gonzalez, A., Willson, M., Wirnsberger, P., Fortunato, M., Alet, F., Ravuri, S., Ewalds, T., Eaton-Rosen, Z., Hu, W., et al. (2023) · Science

Meteorological Phenomena and SimulationsHydrological Forecasting Using AI

Cited by 1,466

WILDS: A Benchmark of in-the-Wild Distribution Shifts

Koh, P. W., Sagawa, S., Marklund, H., Xie, S. M., Zhang, M., Balsubramani, A., Hu, W., Yasunaga, M., Phillips, R. L., Gao, I., et al. (2020) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Data Classification

Cited by 518

GraphCast: Learning skillful medium-range global weather forecasting

Lam, R., Sanchez-Gonzalez, A., Willson, M., Wirnsberger, P., Fortunato, M., Alet, F., Ravuri, S., Ewalds, T., Eaton-Rosen, Z., Hu, W., et al. (2022) · arXiv

Meteorological Phenomena and SimulationsHydrological Forecasting Using AI

Cited by 154

Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings

Ren, H., Hu, W., & Leskovec, J. (2020) · arXiv

Advanced Graph Neural NetworksTopic Modeling

Cited by 135

Temporal Graph Benchmark for Machine Learning on Temporal Graphs

Huang, S., Poursafaei, F., Danovitch, J., Fey, M., Hu, W., Rossi, E., Leskovec, J., Bronstein, M., Rabusseau, G., & Rabbany, R. (2023) · arXiv

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 63