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Wenlei Shi
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NeuralStagger: accelerating physics-constrained neural PDE solver with spatial-temporal decomposition


Feb 20, 2023
Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu

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Monte Carlo Neural Operator for Learning PDEs via Probabilistic Representation


Feb 10, 2023
Rui Zhang, Qi Meng, Rongchan Zhu, Yue Wang, Wenlei Shi, Shihua Zhang, Zhi-Ming Ma, Tie-Yan Liu

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LordNet: Learning to Solve Parametric Partial Differential Equations without Simulated Data


Jun 19, 2022
Wenlei Shi, Xinquan Huang, Xiaotian Gao, Xinran Wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu

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Learning Physics-Informed Neural Networks without Stacked Back-propagation


Feb 18, 2022
Di He, Wenlei Shi, Shanda Li, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu

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Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations


Dec 24, 2020
Wenlei Shi, Xinran Wei, Jia Zhang, Xiaoyuan Ni, Arthur Jiang, Jiang Bian, Tie-Yan Liu

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* accepted as an oral paper in AAMAS 2021 
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