Zhongkai Hao

Venues

Frequent coauthors

Papers

1. Accelerating PDE-Constrained Optimization by the Derivative of Neural Operators
   ICML 2025 ·

   Ze Cheng

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2. AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries
   AAAI 2025 ·

   Pengwei Liu

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3. Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling
   ICLR 2024 ·

   Hong Wang

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4. Amortized Fourier Neural Operators
   NeurIPS 2024 ·

   Zipeng Xiao

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5. DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training
   ICML 2024 · Zhongkai Hao
6. Diffusion Models are Certifiably Robust Classifiers
   NeurIPS 2024 ·

   Huanran Chen

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7. Improved Operator Learning by Orthogonal Attention
   ICML 2024 ·

   Zipeng Xiao

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8. PAPM: A Physics-aware Proxy Model for Process Systems
   ICML 2024 ·

   Pengwei Liu

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9. PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning
   NeurIPS 2024 ·

   Chengyang Ying

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10. PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
    NeurIPS 2024 · Zhongkai Hao
11. Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations
    ICML 2024 ·

    Ze Cheng

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