顾亦奇
-
教授
博士生导师
- 性别：男
- 毕业院校：美国普渡大学
- 学历：博士研究生毕业
- 学位：哲学博士学位
- 在职信息：在职人员
- 所在单位：数学科学学院
- 入职时间： 2023-03-01
- 学科：计算数学
应用数学
- 办公地点：六号科研楼A-447
- 电子邮箱：518a104cc21bbb0e6986e083f4dad91e5f8813329e17baec448fb21bdcec6c66775e5301593a81b55bc576fbc50f9baab81bf674557934cc1b211e8f0b9fb11e55d15f9382b7408e214571831a551bea941d02f5ccae951f97ad40815f43c5934b5805cf1fd1f483faa8f542936d62ce8c5bb49feb5b292dffc4364b495150e8
访问量：
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[1]
Yihang Gao,
Yiqi Gu,
and Michael K. Ng,
Gradient descent finds the global optima of physics-informed neural networks, Proceedings of the 40th International Conference on Machine Learning, vol. 202, pp. 10676-10707, Jul 2023.
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[2]
Yiqi Gu
and Michael K. Ng,
Quadrature rule based discovery of dynamics by data-driven denoising, Journal of Computational Physics, vol. 486, pp. 112102, Apr 2023.
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[3]
Yiqi Gu,
John Harlim,
Senwei Liang,
and Haizhao Yang,
Stationary density estimation of itô diffusions using deep learning, SIAM Journal on Numerical Analysis, vol. 61, no. 1, pp. 45-82, Feb 2023.
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[4]
Yiqi GU
and Jie Shen,
A fictitious domain spectral method for solving the Helmholtz equation in exterior domains, Journal of Scientific Computing, vol. 94, no. 3, pp. 46, Jan 2023.
-
[5]
Yiqi Gu,
John Harlim,
Senwei Liang,
and Haizhao Yang,
Stationary density estimation of itô diffusions using deep learning, SIAM Journal on Numerical Analysis, vol. 61, no. 1, pp. 45-82, Feb 2023.
-
[6]
Yiqi Gu
and Michael K. Ng,
Deep adaptive basis Galerkin method for high-dimensional evolution equations with oscillatory solutions, SIAM Journal on Scientific Computing, vol. 44, no. 5, pp. A3130-A3157, Sep 2022.
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[7]
Qiang Du,
Yiqi Gu,
Haizhao Yang,
and Chao Zhou,
The discovery of dynamics via linear multistep methods and deep learning: Error estimation, SIAM Journal on Numerical Analysis, vol. 60, no. 4, pp. 2014-2045, Aug 2022.
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[8]
Yiqi Gu
and Michael K. Ng,
Deep Ritz method for the spectral fractional Laplacian equation using the Caffarelli-Silvestre extension, SIAM Journal on Scientific Computing, vol. 44, no. 4, pp. A2018-A2036, Jul 2022.
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[9]
Yiqi Gu,
Haizhao Yang,
and Chao Zhou,
SelectNet: Self-paced learning for high-dimensional partial differential equations, Journal of Computational Physics, vol. 441, pp. 110444, May 2021.
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[10]
Yiqi Gu,
Chunmei Wang,
and Haizhao Yang,
Structure probing neural network deflation, Journal of Computational Physics, vol. 434, pp. 110231, Feb 2021.
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[11]
Yiqi Gu
and Jie Shen,
An efficient spectral method for elliptic PDEs in complex domains with circular embedding, SIAM Journal on Scientific Computing, vol. 43, no. 1, pp. A309-A329, Jan 2021.
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[12]
Yiqi Gu
and Jie Shen,
Accurate and efficient spectral methods for elliptic PDEs in complex domains, Journal of Scientific Computing, vol. 83, no. 3, pp. 42, May 2020.
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[13]
Yiqi Gu
and Jie Shen,
Bound preserving and energy dissipative schemes for porous medium equations, Journal of Computational Physics, vol. 410, pp. 109378, Mar 2020.
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[14]
Yiqi Gu,
Xi Yang,
Mengjiao Peng,
and Guang Lin,
Expert Systems With Applications, Expert Systems With Applications, vol. 141, pp. 112885, Sep 2019.
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[15]
Yiqi Gu
and Xiaoliang Cheng,
A numerical approach for defect modes localization in an inhomogeneous medium, SIAM Journal on Applied Mathematics, vol. 73, no. 6, pp. 2188–2202, Dec 2013.
