Journal Articles

• [New Preprint in Deep Learning] Y. Meng, J. Huang, Y. Qiu. Physics-informed Invertible Neural Network for the Koopman Operator Learning. ArXiv 2306.17396, 2023.
• [New Preprint in Machine Learning] J. Zhou, Y. Qiu. Augmented Message Passing Stein Variational Gradient Descent. ArXiv 2305.10636, 2023.
• [New Preprint in Machine Learning] J. Huang, H. Xi, L. Zhang, H. Yao, Y. Qiu, H. Wei. Conformal Prediction for Deep Classifier via Label Ranking . ArXiv 2310.06430, 2023.
• Y. Qiu, M. B. van Gijzen, J.-W. van Wingerden, M. Verhaegen, C. Vuik. Preconditioning Navier-Stokes Control Using Multilevel Sequentially Semiseparable Matrix Computations. Numerical Linear Algebra with Applications, 28(2): e2349, 2021 [Most Downloaded Paper]. Previously available as TU Delft Technical Report 15-04.
• Y. Qiu, S. Grundel, M. Stoll, and P. Benner. Efficient Numerical Methods for Gas Network Modeling and Simulation, Networks and Heterogeneous Media, 15(4): 653--679, 2020. Previously available as ArXiv Preprint arXiv:1807.07142.
• X. Zhou, X. Li, F. Liu, W. Ge, X. Ma, Y. Tian, G. Li, J. Zhang, Y. Qiu. The Comprehensive Evaluation Model of Power Supply Capacity for Regional-oriented Distribution Network. Neural Computing and Applications, 32: 5163–5171, 2020.
• P. Benner, Y. Qiu, M. Stoll. Low-rank eigenvector compression of posterior covariance matrices for linear Gaussian inverse problems. SIAM/ASA Journal on Uncertainty Quantification, 6(2): 965--989, 2018. Previously available as ArXiv preprint arXiv:1703.05638.
• M. Baumann, R. Astudillo, Y. Qiu, E. Ang, M.B. Van Gijzen, and R.-E. Plessix. An MSSS-Preconditioned Matrix Equation Approach for the Time-Harmonic Elastic Wave Equation at Multiple Frequencies. Computational Geosciences, 22(1): 43-61, 2018. Previously available as TU Delft Technical Report 16-04 and [Code].
• Y. Qiu, M. B. van Gijzen, J.-W. van Wingerden, M. Verhaegen, C. Vuik. Evaluation of Multilevel Sequentially Semiseparable Preconditioners on CFD Benchmark Problems Using Incompressible Flow and Iterative Solver Software. Mathematical Methods in the Applied Sciences, 41(3): 888-903, 2018. Previously available as TU Delft Technical Report 13-11.
• Y. Qiu, M. B. van Gijzen, J.-W. van Wingerden, M. Verhaegen, C. Vuik. Convergence Analysis of Multilevel Sequentially Semiseparable Preconditioners. Technical Report 15-01, Delft Institute of Applied Mathematics, Delft University of Technology, 2015.
• Y. Qiu, M. B. van Gijzen, J.-W. van Wingerden, M. Verhaegen, C. Vuik. Efficient Preconditioners for PDE-Constrained Optimization Problems with a Multilevel Sequentially SemiSeparable Matrix Structure. Electronic Transactions on Numerical Analysis, 44: 367-400, 2015. Previously available as TU Delft Technical Report 13-04.
• Y. Qiu, M. B. van Gijzen, J.-W. van Wingerden, M. Verhaegen. A Class of Efficient Preconditioners with Multilevel Sequentially Semiseparable Matrix Structure. AIP Conference Proceedings, vol: 1558, 2253--2256, 2013.

Articles in Peer-Refereed Conference Proceedings

• Y. Qiu, M. B. van Gijzen, J.-W. van Wingerden, M. Verhaegen. On the Application of a Novel Model Order Reduction Algorithm for Sequentially Semi-Separable Matrices to the Identification of One-dimensional Distributed Systems. Proceedings of the 13th European Control Conference, 2750--2755, 2014.
• Q. Sun, Y. Qiu, J. Zhou, J. Yu. Observation of Chaos in Smart Grid and Stabilization Condition via Generalized Fuzzy Hyperbolic Model. Proceedings of the 2011 Asia-Pacific Power and Energy Engineering Conference, 2011.

PhD Thesis

• Preconditioning Optimal Flow Control Problems Using Multilevel Sequentially Semiseparable Matrix Computations, ISBN: 978-94-6186-566-3, Uitgeverij BOXPress, the Netherlands.