Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation.

ArXiv

Rui Zhang, Qi Meng, Rongchan Zhu, Yue Wang, Wenlei Shi, Shihua Zhang, Zhi-Ming Ma and Tie-Yan Liu

https://arxiv.org/abs/2302.05104

2023

Deciphering and integrating invariants for neural operator learning with various physical mechanisms.

National Science Review.

Rui Zhang, Qi Meng and Zhi-Ming Ma

https://academic.oup.com/nsr/advance-article/doi/10.1093/nsr/nwad336/7503933

2022

DRVN (deep random vortex network): A new physics-informed machine learning method for simulating and inferring incompressible fluid flows.

Physics of Fluids.

Rui Zhang, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhi-Ming Ma and Tie-Yan Liu.

https://pubs.aip.org/aip/pof/article-abstract/34/10/107112/2847899/DRVN-deep-random-vortex-network-A-new-physics?redirectedFrom=fulltext

Rethinking influence functions of neural networks in the over-parameterized regime.

In Proceedings of the AAAI Conference on Artificial Intelligence (Oral).

Rui Zhang and Shihua Zhang.

https://ojs.aaai.org/index.php/AAAI/article/view/20893

Cross-network skip-gram embedding for joint network alignment and link prediction.

IEEE Transactions on Knowledge and Data Engineering.

Xingbo Du, Junchi Yan, Rui Zhang and Hongyuan Zha

https://ieeexplore.ieee.org/document/9099979