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Yixuan Wang
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Research Scientist, Google DeepMind (London)
E-mail: roywangyx [@] gmail [dot] com.
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About Me
I am a research scientist at Google DeepMind London. I got my PhD from Caltech under the supervision of Prof. Thomas Yizhao Hou, in 2026
and a B.S. from Peking University, in 2020.
Research
My research interests broadly lie in
I develop analytical and computational frameworks for understanding singularity formation in PDEs, motivated by the Clay prize problem on blowup of Navier-Stokes equations. I build systematic proofs inspired by numerics, amenable to computer-assisted verification; design high-precision machine learning tools, including neural networks and neural operators; and pioneer Kolmogorov–Arnold Network (KAN) for broad application to AI. I establish the open problem of nonuniqueness of Leray-Hopf solutions to 3D incompressible NSE.
Citations: 6178 as of Aug 10, 2026
Find out more
Selected Publications
Y. Chen, T.Y. Hou and Y. Wang. Exponentially Convergent Multiscale Methods for 2D High Frequency Heterogeneous Helmholtz Equations, Multiscale Modeling and Simulation, 21(3), 2023, pp. 849–883. [paper, slides]
T.Y. Hou and Y. Wang. Blowup Analysis for a Quasi-exact 1D Model of 3D Euler and Navier-Stokes, Nonlinearity, 37(3), 2024, 035001. [paper, slides]
T.Y. Hou, V.T. Nguyen and Y. Wang. (2024) L^2-based Stability of Blowup with Log Correction for Semilinear Heat Equation, [arxiv]
Z. Liu, Y. Wang, S. Vaidya, F. Ruehle, J. Halverson, M. Soljacic, T.Y. Hou and M. Tegmark. KAN: Kolmogorov-Arnold Networks, ICLR 2025 Oral. [paper, slides, poster, Scientific American, IEEE Spectrum, Quanta, MIT Technology Review]
J. Chen, T.Y. Hou, V.T. Nguyen and Y. Wang. (2024) On the Stability of Blowup Solutions to the Complex Ginzburg-Landau Equation in R^d, accepted by Annals of PDE. [arxiv, slides]
Z. Liu, P. Ma, Y. Wang, W. Matusik and M. Tegmark. (2024) KAN 2.0: Kolmogorov-Arnold Networks Meet Science, accepted by Physical Reviews X. [arxiv]
Y. Wang, J.W. Siegel, Z. Liu and T.Y. Hou. On the Expressiveness and Spectral Bias of KANs, ICLR 2025. [paper, slides, poster]
J. Liu, Y. Wang, and T. Zhou. (2025) Finite Time Blowup for Keller-Segel Equation with Logistic Damping in Three Dimensions, [arxiv]
Y. Wang, Z. Liu, Z. Li, A. Anandkumar, and T.Y. Hou. (2025) High Precision PINNs in Unbounded Domains: Application to Singularity Formulation in PDEs, [arxiv]
T.Y. Hou, Y. Wang, and C. Yang. (2025) Nonuniqueness of Leray–Hopf solutions to the unforced incompressible 3D Navier–Stokes Equation, [arxiv]
Google Scholar
CV
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