Publication
Note: * equal contribution, # corresponding author
Perprint
- Zhang, R., Meng, Q., Wan, H., Liu, Y., Ma, Z-M., & Sun, H. (2025). OmniFluids: Unified Physics Pre-trained Modeling of Fluid Dynamics. arXiv preprint arXiv:2506.10862.
- Wan, H., Zhang, R.#, & Sun, H.# (2025). Spectral-inspired Neural Operator for Data-efficient PDE Simulation in Physics-agnostic Regimes. arXiv preprint arXiv:2505.21573.
2025
- Wan, H.*, Zhang, R.*, Wang, Q., Liu, Y., & Sun H. (2025). PeSANet: Physics-encoded Spectral Attention Network for Simulating PDE-Governed Complex Systems. International Joint Conference on Artificial Intelligence.
- Zhang, R., Meng, Q., Zhu, R., Wang, Y., Shi, W., Zhang, S., Ma, Z.M., & Liu, T.Y. (2025). Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation. IEEE Transactions on Pattern Analysis and Machine Intelligence. Link Code
- Zhang, R.*, Du, X.*, Yan, J., & Zhang, S. (2025). The Decoupling Concept Bottleneck Model. IEEE Transactions on Pattern Analysis and Machine Intelligence. Link Code
2024
- Zhang, R., Meng, Q., & Ma, Z.M. (2024). Deciphering and Integrating Invariants for Neural Operator Learning with Various Physical Mechanisms. National Science Review. Link Code
2022
- Zhang, R., Hu, P., Meng, Q., Wang, Y., Zhu, R., Chen, B., Ma, Z.M., & Liu, T.Y. (2022). DRVN (Deep Random Vortex Network): A New Physics-informed Machine Learning Method for Simulating and Inferring Incompressible Fluid Flows. Physics of Fluids. Link Code
- Zhang, R., & Zhang, S. (2022). Rethinking Influence Functions of Neural Networks in the Over-parameterized Regime. In Proceedings of the AAAI Conference on Artificial Intelligence (Oral). Link
- Du, X., Yan, J., Zhang, R., & Zha, H. (2022). Cross-network Skip-gram Embedding for Joint Network Alignment and Link Prediction. IEEE Transactions on Knowledge and Data Engineering. Link Code