Zhongkai Hao
19 papers · 2022–2025 · 5 conferences · across top CS/AI conferences
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ICML (9)
NIPS (4)
ICLR (3)
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Keywords
partial differential equation
(6)
neural network optimization
(2)
operator learning
(2)
scientific machine learning
(2)
transformer architecture
(2)
adversarial attack
(2)
neural operator
(2)
domain decomposition
(2)
physics-informed neural network
(2)
graph neural network
(2)
certified robustness
(2)
machine learning
(1)
attention mechanism
(1)
generative learning
(1)
skill discovery
(1)
bias correction
(1)
bayesian inference
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k-d tree
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importance sampling
(1)
off-policy evaluation
(1)
Papers
AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries
AAAI 2025
Accelerating PDE-Constrained Optimization by the Derivative of Neural Operators
ICML 2025
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training
ICML 2024
PAPM: A Physics-aware Proxy Model for Process Systems
ICML 2024
Improved Operator Learning by Orthogonal Attention
ICML 2024
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning
NIPS 2024
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
NIPS 2024
Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling
ICLR 2024
Diffusion Models are Certifiably Robust Classifiers
NIPS 2024
Amortized Fourier Neural Operators
NIPS 2024
Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations
ICML 2024
On the Reuse Bias in Off-Policy Reinforcement Learning
IJCAI 2023
Equivariant Energy-Guided SDE for Inverse Molecular Design
ICLR 2023
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
MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks
ICML 2023
Cluster Attack: Query-based Adversarial Attacks on Graph with Graph-Dependent Priors
IJCAI 2022
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
ICML 2022