Improving the Universality and Learnability of Neural Programmer-Interpreters with Combinator Abstraction. - Da Xiao; Jo-Yu Liao; Xingyuan Yuan (ICLR (Poster), 2018)

Improving Transformers with Dynamically Composable Multi-Head Attention. - Da Xiao; Qingye Meng; Shengping Li; Xingyuan Yuan (ICML, 2024)

Skillful High-Resolution Ensemble Precipitation Forecasting with an Integrated Deep Learning Framework. - Shuangshuang He; Hongli Liang; Yuanting Zhang; Xingyuan Yuan (CoRR, 2025)

MUDDFormer: Breaking Residual Bottlenecks in Transformers via Multiway Dynamic Dense Connections. - Da Xiao; Qingye Meng; Shengping Li; Xingyuan Yuan (CoRR, 2025)

CNCast: Leveraging 3D Swin Transformer and DiT for Enhanced Regional Weather Forecasting. - Hongli Liang; Yuanting Zhang; Qingye Meng; Shuangshuang He; Xingyuan Yuan (CoRR, 2025)

PCDCNet: A Surrogate Model for Air Quality Forecasting with Physical-Chemical Dynamics and Constraints. - Shuo Wang; Yun Cheng; Qingye Meng; Olga Saukh; Jiang Zhang; Jingfang Fan; Yuanting Zhang; Xingyuan Yuan; Lothar Thiele (CoRR, 2025)