Announcement_8
🎉 Our paper, “CHAM-net: A Contrastive Hierarchical Adaptive Meta-Network for Robust Global Methane Flux Prediction,” has been accepted at IJCAI-ECAI 2026! The study presents a new meta-learning framework for robust prediction of global methane fluxes across diverse environmental conditions.