# Presentation

## Upcoming Presentations

- Y. Li, J. Lu and A. Mao, Variational Training of Neural Network Approximations of Solutions Maps for Physical Models, SIAM Conference on Computational Science and Engineering, Fort Worth TX (2021).

## Oral Presentations

- Y. Li, X. Cheng, J. Lu and Z. Xu, Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks, Workshop on High Performance Computing and Data Science, Nanjing China (2020).
- Y. Li, Z. Wang and J. Lu, Coordinate-wise Descent Methods for Full Configuration Interaction, University of Toronto Math Special Colloquium, Toronto Canada (2020).
- Y. Li, Z. Wang and J. Lu, Coordinate-wise Descent Methods for Full Configuration Interaction, UC Berkeley Math Thematic Seminar, Berkeley CA (2020).
- Y. Li, Z. Wang and J. Lu, Coordinate-wise Descent Methods for Full Configuration Interaction, Rice CAAM Special Seminar, Houston TX (2020).
- Y. Li and H. Yang, Interior eigensolver for sparse Hermitian definite matrices based on Zolotarev's functions, Workshop on Matrix Eigenvalue Problems, Shanghai China (2020).
- Y. Li, Z. Chen and J. Lu, Tensor train and tensor ring in quantum many-body calculations, Workshop on Electronic Structure Computation, Shanghai China (2019).
- Y. Li, H. Yang and L. Ying, Oscillatory Integral Operators and Interpolative Butterfly Factorization, Launching Program of Zu Chongzhi Center of Mathematics and Computational Science, Kunshan China (2019).
- Y. Li and L. Ying, Distributed-memory Hierarchical Interpolative Factorization, Modeling, Algorithms and Analysis of Complex Fluid, Beijing China (2019).
- Y. Li, R. Wang and E. Darve, Kernel Functions and Their Fast Evaluations, The 3rd International Conference on Kernel-based Methods and Machine Learning, Suzhou China (2019).
- Y. Li and L. Lin, Globally Constructed Adaptive Local Basis Set for Spectral Projectors of Second Order Differential Operators, Workshop on Numerical Methods for PDEs, Beijing China (2019).
- Y. Li, J. Poulson and L. Ying, Distributed-Memory Hierarchical Matrix Algebra, Solver, Kunming China (2019).
- Y. Li, J. Lu and A. Mao, Variational Training of Neural Network Approximations of Solution Maps for Physical Models, International Multigrid Conference, Kunming China (2019).
- Y. Li, Z. Chen and J. Lu, Approximate Tensor Ring Decomposition, International Multigrid Conference, Kunming China (2019).
- Y. Li, Z. Wang and J. Lu, Coordinate-wise Descent Methods for Leading Eigenvalue Problems from Full CI, International Congress on Industrial and Applied Mathematics, Valencia Spain (2019).
- Y. Li, Z. Chen and J. Lu, On the Tensor Ring Approximation, Workshop on High-Dimensional Learning and Computation in Physics, Singapore (2019).
- Y. Li, J. Lu and A. Mao, Variational Training of Neural Network Approximations of Solutions Maps for Physical Models, Workshop on Machine Learning Techniques in Scientific Computing, Wuhan China (2019).
- Y. Li, J. Lu and A. Mao, Variational Training of Neural Network Approximations of Solutions Maps for Physical Models, Fudan University School of Data Science Seminar, Shanghai China (2019).
- Y. Li, J. Lu and Z. Wang, Analysis and Applications of Coordinate Descent Methods for Leading Eigenvalue Problems, Virginia Tech Math Colloquium, Blacksburg VA (2019).
- Y. Li, J. Lu and Z. Wang, Coordinate-wise Descent Methods for the Full Configuration Interaction Calculation, SIAM Conference on Computational Science and Engineering, Spokane WA (2019).
- Y. Li, J. Lu and Z. Wang, Coordinate-wise Descent Methods for the Full Configuration Interaction Calculation, Mathematical Analysis and Computation for Quantum Systems, Beijing China (2019).
- Y. Li, X. Cheng, K. Ho, J. Lu, E. Martin, H. Yang, and L. Ying, Butterfly: From Fast Algorithms to Convolutional Neural Network, Applied Mathematics and Statistics Youth Forum PKU, Beijing China (2018).
- Y. Li, X. Cheng, A. Mao and J. Lu, Fast Algorithms Inspired Deep Neural Networks, ICMSEC Seminar, Beijing China (2018).
- Y. Li, J. Lu and Z. Wang, Coordinate-wise Descent Methods for Leading Eigenvalue Problems, SJTU INS Seminar, Shanghai China (2018).
- Y. Li and ELSI team, Reverse Communication Interface for Iterative Eigensolvers in ELSI, ELSI Conference, Richmond VA (2018).
- Y. Li and L. Lin, Globally Constructed Adaptive Local Basis Set for Spectral Projectors of Second Order Differential Operators, SIAM Conference on Mathematical Aspects of Materials Science, Portland OR (2018).
- Y. Li, J. Lu and Z. Wang, Consistent Symmetric Greedy Coordinate Descent Method, SIAM Annual Meeting, Portland OR (2018).
- Y. Li and L. Ying, Sparse Factorizations and Scalable Algorithms for Elliptic Differential Operators, Workshop on Computational Techniques in Physical Sciences and Data Science, Shanghai China (2018).
- Y. Li, J. Lu and Z. Wang, Consistent Symmetric Greedy Coordinate Descent Method, SIAM Conference on Applied Linear Algebra, Hong Kong China (2018).
- Y. Li and L. Ying, Distributed-memory Hierarchical Interpolative Factorization, NUDT Computer Science Seminar, Changsha China (2018).
- Y. Li and L. Ying, Recent Development in Distributed-memory Hierarchical Interpolative Factorization, SIAM Parallel Processing for Scientific Computing, Tokyo Japan (2018).
- Y. Li and ELSI Team, Reverse Communication Interface in ELSI, SIAM Parallel Processing for Scientific Computing, Tokyo Japan (2018).
- Y. Li, R. Wang, M. Mahoney and E. Darve, Kernel Functions and Their Fast Evaluations, JHU Data Seminar, Baltimore MD (2017).
- Y. Li and L. Ying, Oscillatory Integral Operators and Interpolative Butterfly Factorization, International Conference On Preconditioning Techniques For Scientific And Industrial Applications, Vancouver Canada (2017).
- Y. Li and L. Ying, Multiscale Fast Algorithm for STORM Imaging, SIAM Annual Meeting, Pittsburgh PA (2017).
- Y. Li, Sparse Factorizations and Scalable Algorithms for Differential and Integral Operators, Defense, Stanford CA (2017).
- Y. Li and H. Yang, Spectral Slicing for Hermitian Matrices Based on Zolotarev's Functions, UC Davis PDE and Applied Math Seminar, Davis CA (2017).
- Y. Li and L. Ying, Distributed-memory Hierarchical Interpolative Factorization, SIAM Conference on Computational Science and Engineering, Atlanta GA (2017).
- Y. Li, J. Poulson and L. Ying, Distributed-Memory Hierarchical Matrix Algebra, SIAM Conference on Computational Science and Engineering, Atlanta GA (2017).
- Y. Li and L. Ying, Sparse Factorizations and Scalable Algorithms for Differential and Integral Operators, UC Berkeley Applied Mathematics Seminar, Berkeley CA (2017).
- Y. Li and H. Yang, Spectral Slicing for Hermitian Matrices Based on Zolotarev's Functions, ICME Seminar, Stanford CA (2016).
- Y. Li, H. Yang and L. Ying, Fast Algorithms for Oscillatory Integral Operators, SIAM Annual Meeting, Boston MA (2016).
- Y. Li and L. Ying, Distributed-memory Hierarchical Interpolative Factorization, SIAM Annual Meeting, Boston MA (2016).
- Y. Li and L. Ying, Distributed-memory Hierarchical Interpolative Factorization, ICME Seminar, Stanford CA (2016).
- Y. Li and L. Ying, Distributed-memory Hierarchical Interpolative Factorization, SIAM Conference on Parallel Processing for Scientific Computing, Paris France (2016).
- Y. Li, H. Yang, E. R. Martin, K. L. Ho and L. Ying, Butterfly Factorization, International Congress on Industrial and Applied Mathematics, Beijing China (2015).
- Y. Li, H. Yang and L. Ying, A Multiscale Butterfly Algorithm for Multidimensional Fourier Integral Operators, International Congress on Industrial and Applied Mathematics, Beijing China (2015).
- Y. Li, H. Yang and L. Ying, Butterfly Factorization, Gene Golub SIAM Summer School, Delphi Greece (2015).
- Y. Li, H. Yang, E. R. Martin, K. L. Ho and L. Ying, Butterfly Factorization, ICME Seminar, Stanford CA (2015).

## Poster Presentations

- Y. Li, J. Lu, and Z. Wang, Coordinate-wise Descent Methods for Leading Eigenvalue Problems, ELSI Conference, Richmond VA (2018).
- Y. Li and L. Ying, Distributed-memory Hierarchical Interpolative Factorization, International Conference On Preconditioning Techniques For Scientific And Industrial Applications, Vancouver Canada (2017).
- Y. Li and L. Ying, Distributed-memory Hierarchical Interpolative Factorization,
Modern Advances in Computational and Applied Mathematics,
New Haven
CT
(2017).

A workshop in honor of the birthdays of Charles L. Epstein and Leslie Greengard - Y. Li and H. Yang, Interpolative Butterfly Factorization, ICME Xpo, Stanford CA (2016).
- Y. Li, J. Poulson and L. Ying, Distributed-memory H-Matrix Algebra, ICME Xpo, Stanford CA (2015).
- Y. Li and H. Yang, Butterfly Factorization for Special Function Transforms, February Fourier Talks, College Park MD (2015).

## Others

- T. Cui, X. Liu, Y. Li, X. Xiang and R. Zhang, Minisymposium Organizer,
Machine Learning and High Performance Computing,
International Multigrid Conference,
Kunming
China
(2019).

[Part I, Part II, Part III] - Z. Wang and Y. Li, Minisymposium Organizer,
Recent Progress in Coordinate-wise Descent Methods,
SIAM Conference on Computational Science and Engineering,
Spokane
WA
(2019).

[Part I] - H. Yang and Y. Li, Minisymposium Organizer,
Large-scale eigenvalue problems and applications,
SIAM Conference on Applied Linear Algebra,
Hong Kong
China
(2018).

[Part I, Part II, Part III] - Y. Li and C. Chen, Minisymposium Organizer,
Techniques for Developing Massively-Parallel Linear Solvers,
SIAM Parallel Processing for Scientific Computing,
Tokyo
Japan
(2018).

[Part I, Part II] - Y. Li, Workshop Organizer,
Bay Area Scientific Computing Day,
Stanford
CA
(2016).

[BASCD] - H. Yang and Y. Li, Minisymposium Organizer,
Hierarchical Structure and Randomness in Linear Algebra,
SIAM Annual Meeting,
Boston
MA
(2016).

[Part I, Part II]