Aortic Pressure Forecasting With Deep Learning. - Eliza Huang; Rui Wang 086; Uma Chandrasekaran; Rose Yu (CinC, 2020)

Towards Physics-informed Deep Learning for Turbulent Flow Prediction. - Rui Wang 086; Karthik Kashinath; Mustafa Mustafa; Adrian Albert; Rose Yu (KDD, 2020)

Aortic Pressure Forecasting with Deep Sequence Learning. - Rui Wang 086; Eliza Huang; Uma Chandrasekaran; Rose Yu (CoRR, 2020)

Incorporating Symmetry into Deep Dynamics Models for Improved Generalization. - Rui Wang 086; Robin Walters 001; Rose Yu (ICLR, 2021)

Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems. - Rui Wang 086; Danielle C. Maddix; Christos Faloutsos; Yuyang Wang 001; Rose Yu (L4DC, 2021)

Approximately Equivariant Networks for Imperfectly Symmetric Dynamics. - Rui Wang 086; Robin Walters 001; Rose Yu (ICML, 2022)

Meta-Learning Dynamics Forecasting Using Task Inference. - Rui Wang 086; Robin Walters 001; Rose Yu (NeurIPS, 2022)

Data Augmentation vs. Equivariant Networks: A Theory of Generalization on Dynamics Forecasting. - Rui Wang 086; Robin Walters 001; Rose Yu (CoRR, 2022)

Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts. - Rui Wang 086; Yihe Dong; Sercan Ö. Arik; Rose Yu (CoRR, 2022)

Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts. - Rui Wang 086; Yihe Dong; Sercan Ö. Arik; Rose Yu (ICLR, 2023)

Relaxed Octahedral Group Convolution for Learning Symmetry Breaking in 3D Physical Systems. - Rui Wang 086; Robin Walters 001; Tess E. Smidt (CoRR, 2023)

Physics-Guided Deep Learning for Dynamics Forecasting - Rui Wang 086 (2023)

Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution. - Rui Wang 086; Elyssa F. Hofgard; Hang Gao 004; Robin Walters 001; Tess E. Smidt (ICML, 2024)

A Recipe for Charge Density Prediction. - Xiang Fu 005; Andrew S. Rosen; Kyle Bystrom; Rui Wang 086; Albert Musaelian; Boris Kozinsky; Tess E. Smidt; Tommi S. Jaakkola (NeurIPS, 2024)

Relaxed Equivariant Graph Neural Networks. - Elyssa F. Hofgard; Rui Wang 086; Robin Walters 001; Tess E. Smidt (CoRR, 2024)

Unsupervised social event detection via hybrid graph contrastive learning and reinforced incremental clustering. - Yuanyuan Guo; Zehua Zang; Hang Gao 004; Xiao Xu; Rui Wang 086; Lixiang Liu; Jiangmeng Li (Knowl. Based Syst., 2024)

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. - Xuan Zhang; Limei Wang; Jacob Helwig; Youzhi Luo; Cong Fu 003; Yaochen Xie; Meng Liu 015; Yuchao Lin; Zhao Xu 005; Keqiang Yan; Keir Adams; Maurice Weiler; et al. (Found. Trends Mach. Learn., 2025)