Yuezhou Ma

According to our database1, Yuezhou Ma authored at least 11 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Brep2Shape: Boundary and Shape Representation Alignment via Self-Supervised Transformers.
CoRR, February, 2026

Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries.
CoRR, February, 2026

2025
Accuracy Law for the Future of Deep Time Series Forecasting.
CoRR, October, 2025

PhySense: Sensor Placement Optimization for Accurate Physics Sensing.
CoRR, May, 2025

FlashBias: Fast Computation of Attention with Bias.
CoRR, May, 2025

ProPINN: Demystifying Propagation Failures in Physics-Informed Neural Networks.
CoRR, February, 2025

Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024
Unisolver: PDE-Conditional Transformers Are Universal PDE Solvers.
CoRR, 2024

RoPINN: Region Optimized Physics-Informed Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
HelmSim: Learning Helmholtz Dynamics for Interpretable Fluid Simulation.
CoRR, 2023


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