Zidong Wang

Affiliations:

Huawei Technologies Co. Ltd, Central Software Institute, China

According to our database¹, Zidong Wang authored at least 29 papers between 2013 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2025

Learnable-Differentiable Finite Volume Solver for Accelerated Simulation of Flows.

[BibT_eX]

[DOI]

CoRR, July, 2025

Semi-supervised multi-view feature selection with adaptive similarity fusion and learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2025

Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

Solving the Boltzmann Equation with a Neural Sparse Representation.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2024

Versatile Framework for Drug-Target Interaction Prediction by Considering Domain-Specific Features.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2024

P2C2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics.

[BibT_eX]

[DOI]

CoRR, 2024

PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems.

[BibT_eX]

[DOI]

CoRR, 2024

PDEformer-1: A Foundation Model for One-Dimensional Partial Differential Equations.

[BibT_eX]

[DOI]

CoRR, 2024

PDEformer: Towards a Foundation Model for One-Dimensional Partial Differential Equations.

[BibT_eX]

[DOI]

CoRR, 2024

P2C2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Quadratic filtering for discrete time-varying non-Gaussian systems under binary encoding schemes.

[BibT_eX]

[DOI]

Autom., December, 2023

An evolutionary algorithm with clustering-based selection strategies for multi-objective optimization.

[BibT_eX]

[DOI]

Inf. Sci., May, 2023

Eigenvalue-Corrected Natural Gradient Based on a New Approximation.

[BibT_eX]

[DOI]

Asia Pac. J. Oper. Res., February, 2023

Composite Disturbance Filtering: A Novel State Estimation Scheme for Systems With Multi-Source, Heterogeneous, and Isomeric Disturbances.

[BibT_eX]

[DOI]

CoRR, 2023

Learning to simulate partially known spatio-temporal dynamics with trainable difference operators.

[BibT_eX]

[DOI]

CoRR, 2023

Analysis of the Decoder Width for Parametric Partial Differential Equations.

[BibT_eX]

[DOI]

CoRR, 2023

nnUNet RASPP for Retinal OCT Fluid Detection, Segmentation and Generalisation over Variations of Data Sources.

[BibT_eX]

[DOI]

CoRR, 2023

Retinal Image Segmentation with Small Datasets.

[BibT_eX]

[DOI]

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022

Few-Shot Learning of Accurate Folding Landscape for Protein Structure Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

PSP: Million-level Protein Sequence Dataset for Protein Structure Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

Meta-Auto-Decoder for Solving Parametric Partial Differential Equations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Universal PINNs Method for Solving Partial Differential Equations with a Point Source.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Meta-Auto-Decoder for Solving Parametric Partial Differential Equations.

[BibT_eX]

[DOI]

CoRR, 2021

Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

A Trace-restricted Kronecker-Factored Approximation to Natural Gradient.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

AsymptoticNG: A regularized natural gradient optimization algorithm with look-ahead strategy.

[BibT_eX]

[DOI]

CoRR, 2020

2013

A constrained optimization approach to dynamic state estimation for power systems including PMU measurements.

[BibT_eX]

[DOI]

Proceedings of the 2013 19th International Conference on Automation and Computing, 2013

Zidong Wang

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