Qi, Yuan

A Semi-supervised Graph Attentive Network for Financial Fraud Detection

Wang, D., Lin, J., Cui, P., Jia, Q., Wang, Z., Fang, Y., Yu, Q., Zhou, J., Yang, S., & Qi, Y. (2020) · arXiv

Advanced Graph Neural NetworksPrivacy-Preserving Technologies in Data

Cited by 476

FuXi: A cascade machine learning forecasting system for 15-day global weather forecast

Li, H., Chen, L., Zhong, X., Zhang, F., Cheng, Y., Xu, Y., & Qi, Y. (2023) · npj Climate and Atmospheric Science

Meteorological Phenomena and SimulationsHydrological Forecasting Using AI

Cited by 369

FuXi: a cascade machine learning forecasting system for 15-day global weather forecast

Chen, L., Zhong, X., Zhang, F., Cheng, Y., Xu, Y., Qi, Y., & Li, H. (2023) · npj Climate and Atmospheric Science

Meteorological Phenomena and SimulationsHydrological Forecasting Using AI

Cited by 367

GeniePath: Graph Neural Networks with Adaptive Receptive Paths

Liu, Z., Chen, C., Li, L., Zhou, J., Li, X., Song, L., & Qi, Y. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 350

Predictive automatic relevance determination by expectation propagation

Qi, Y. (., Minka, T. P., Picard, R. W., & Ghahramani, Z. (2004) · Twenty-first international conference on Machine learning - ICML '04

Gaussian Processes and Bayesian InferenceStatistical Methods and Inference

Cited by 110

A machine learning model that outperforms conventional global subseasonal forecast models

Chen, L., Zhong, X., Li, H., Wu, J., Lu, B., Chen, D., Xie, S.-P., Wu, L., Chao, Q., Lin, C., et al. (2024) · Nature Communications

Meteorological Phenomena and SimulationsClimate variability and models

Cited by 105

FuXi-Extreme: Improving extreme rainfall and wind forecasts with diffusion model

Zhong, X., Chen, L., Liu, J., Lin, C., Qi, Y., & Li, H. (2024) · Science China Earth Sciences

Meteorological Phenomena and SimulationsHydrological Forecasting Using AI

Cited by 37