Yifan Fu — accepted AI-conference papers

2026

G-RANS: Generalizable Residual-Aware Neural Solvers for Sparse Systems

Weixin Liao, Mingquan Feng, Zhizhou Zhang, Youjia Wu, Yifan Fu, Junchi Yan

ICML 2026poster

Neural operators have shown promise in accelerating PDE solvers, yet they remain unreliable for the sparse linear systems induced by discretization due to limited generalization across physical parameters and insufficient accuracy, and hybrid neural iterative schemes face stagnation as the residual …

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2025

HEAP: Hyper Extended A-PDHG Operator for Constrained High-dim PDEs

Mingquan Feng, Weixin Liao, Yixin Huang, Yifan Fu, Qifu Zheng, Junchi Yan

ICML 2025poster

Neural operators have emerged as a promising approach for solving high-dimensional partial differential equations (PDEs). However, existing neural operators often have difficulty in dealing with constrained PDEs, where the solution must satisfy additional equality or inequality constraints beyond th…

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