Ze Cheng

6 papers · 2022–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15)

Venues

ICML (4) ICLR (1) NeurIPS (1)

Top co-authors

Hang Su (6) Zhongkai Hao (5) Songming Liu (4) Chengyang Ying (4) Jun Zhu (4) Jian Song (2) Jianing Huang (2) Yinpeng Dong (1) Youjia Wu (1) Wang Xiaoqiang (1)

Research topics

Deep Learning (6) Architectures (5) Machine Learning (4) Mathematics & Optimization (3) Artificial Intelligence (2) Application Areas (2) Core AI (2) Learning Types (2) Mathematics (2) Optimization & Theory (2) Core Methods (1) Optimization (1) Techniques (1)

Keywords

neural operator (4) partial differential equation (3) pde-constrained optimization (2) gradient-based method (1) k-d tree (1) bilevel optimization (1) physics-informed neural network (1) operator learning (1) boundary condition (1) domain decomposition (1) scientific computing (1) geometric learning (1) physics simulation (1) scientific machine learning (1) implicit function theorem (1) non-uniform data (1) finite element method (1) geometric gating (1) neural network (1) geometric deformation (1)

Papers

Accelerating PDE-Constrained Optimization by the Derivative of Neural Operators ICML 2025 Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations ICML 2024 Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients ICLR 2023 GNOT: A General Neural Operator Transformer for Operator Learning ICML 2023 NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data ICML 2023 A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs NeurIPS 2022