activity
20142026
most citedButterfly Factorization

58 citations · 442 across the 35 of their papers we have counts for

collaborators

35 papers

cs.LG2026

Windowed Fourier Propagator: A Frequency-Local Neural Operator for Wave Equations in Inhomogeneous Media

Yiyang Cai, Zixuan Qiu, Yunlu Shu +4

Wave equations are fundamental to describing a vast array of physical phenomena, yet their simulation in inhomogeneous media poses a computational challenge due to the highly oscil…

physics.chem-ph2023

Coordinate Descent Full Configuration Interaction for Excited States

Zhe Wang, Zhiyuan Zhang, Jianfeng Lu +1

An efficient excited state method, named xCDFCI, in the configuration interaction framework, is proposed. xCDFCI extends the unconstrained nonconvex optimization problem in coordin…

math.NA2023

Weighted Trace-Penalty Minimization for Full Configuration Interaction

Weiguo Gao, Yingzhou Li, Hanxiang Shen

A novel unconstrained optimization model named weighted trace-penalty minimization (WTPM) is proposed to address the extreme eigenvalue problem arising from the Full Configuration…

cs.CV2022

ButterflyNet2D: Bridging Classical Methods and Neural Network Methods in Image Processing

Gengzhi Yang, Yingzhou Li

Both classical Fourier transform-based methods and neural network methods are widely used in image processing tasks. The former has better interpretability, whereas the latter ofte…

cond-mat.mtrl-sci2022

Hamiltonian transformation for accurate and efficient band structure interpolation

Kai Wu, Yingzhou Li, Wentiao Wu +3

Electronic band structure is a cornerstone of condensed matter physics and materials science. Conventional methods like Wannier interpolation (WI), which are commonly used to inter…

quant-ph2022★ 2 cited

Analysis of Error Propagation in Quantum Computers

Ziang Yu, Yingzhou Li

Most quantum gate errors can be characterized by two error models, namely the probabilistic error model and the Kraus error model. We proved that for a quantum circuit with either…

physics.chem-ph2022★ 2 cited

Improving the Accuracy of Variational Quantum Eigensolvers With Fewer Qubits Using Orbital Optimization

Joel Bierman, Yingzhou Li, Jianfeng Lu

Near-term quantum computers will be limited in the number of qubits on which they can process information as well as the depth of the circuits that they can coherently carry out. T…

stat.ML2022★ 2 cited

SpecNet2: Orthogonalization-free spectral embedding by neural networks

Ziyu Chen, Yingzhou Li, Xiuyuan Cheng

Spectral methods which represent data points by eigenvectors of kernel matrices or graph Laplacian matrices have been a primary tool in unsupervised data analysis. In many applicat…

physics.comp-ph2022★ 24 cited

KSSOLV 2.0: An efficient MATLAB toolbox for solving the Kohn-Sham equations with plane-wave basis set

Shizhe Jiao, Zhenlin Zhang, Kai Wu +12

KSSOLV (Kohn-Sham Solver) is a MATLAB toolbox for performing Kohn-Sham density functional theory (DFT) calculations with a plane-wave basis set. KSSOLV 2.0 preserves the design fea…

physics.chem-ph2022

Quantum Orbital Minimization Method for Excited States Calculation on Quantum Computer

Joel Bierman, Yingzhou Li, Jianfeng Lu

We propose a quantum-classical hybrid variational algorithm, the quantum orbital minimization method (qOMM), for obtaining the ground state and low-lying excited states of a Hermit…

math.NA2021★ 1 cited

Global Convergence of Triangularized Orthogonalization-free Method

Weiguo Gao, Yingzhou Li, Bichen Lu

This paper proves the global convergence of a triangularized orthogonalization-free method (TriOFM). TriOFM, in general, applies a triangularization idea to the gradient of an obje…

math.OC2021★ 1 cited

On the global convergence of randomized coordinate gradient descent for non-convex optimization

Ziang Chen, Yingzhou Li, Jianfeng Lu

In this work, we analyze the global convergence property of coordinate gradient descent with random choice of coordinates and stepsizes for non-convex optimization problems. Under…

math.NA2020

Distributed-memory -matrix Algebra I: Data Distribution and Matrix-vector Multiplication

Yingzhou Li, Jack Poulson, Lexing Ying

We introduce a data distribution scheme for -matrices and a distributed-memory algorithm for -matrix-vector multiplication. Our data distribution scheme a…

cond-mat.mtrl-sci2020★ 34 cited

The CECAM Electronic Structure Library and the modular software development paradigm

Micael J. T. Oliveira, Nick Papior, Yann Pouillon +34

First-principles electronic structure calculations are very widely used thanks to the many successful software packages available. Their traditional coding paradigm is monolithic,…

math.NA2020★ 3 cited

Triangularized Orthogonalization-free Method for Solving Extreme Eigenvalue Problems

Weiguo Gao, Yingzhou Li, Bichen Lu

A novel orthogonalization-free method together with two specific algorithms are proposed to solve extreme eigenvalue problems. On top of gradient-based algorithms, the proposed alg…

physics.chem-ph2020★ 14 cited

Optimal Orbital Selection for Full Configuration Interaction (OptOrbFCI): Pursuing the Basis Set Limit under a Budget

Yingzhou Li, Jianfeng Lu

Full configuration interaction (FCI) solvers are limited to small basis sets due to their expensive computational costs. An optimal orbital selection for FCI (OptOrbFCI) is propose…

physics.comp-ph2019★ 55 cited

ELSI -- An Open Infrastructure for Electronic Structure Solvers

Victor Wen-zhe Yu, Carmen Campos, William Dawson +16

Routine applications of electronic structure theory to molecules and periodic systems need to compute the electron density from given Hamiltonian and, in case of non-orthogonal bas…

cs.LG2019★ 3 cited

Butterfly-Net2: Simplified Butterfly-Net and Fourier Transform Initialization

Zhongshu Xu, Yingzhou Li, Xiuyuan Cheng

Structured CNN designed using the prior information of problems potentially improves efficiency over conventional CNNs in various tasks in solving PDEs and inverse problems in sign…

math.NA2019★ 7 cited

Universal approximation of symmetric and anti-symmetric functions

Jiequn Han, Yingzhou Li, Lin Lin +3

We consider universal approximations of symmetric and anti-symmetric functions, which are important for applications in quantum physics, as well as other scientific and engineering…

cs.CV2019★ 3 cited

Mask Embedding in conditional GAN for Guided Synthesis of High Resolution Images

Yinhao Ren, Zhe Zhu, Yingzhou Li +1

Recent advancements in conditional Generative Adversarial Networks (cGANs) have shown promises in label guided image synthesis. Semantic masks, such as sketches and label maps, are…

math.NA2019★ 1 cited

Tensor Ring Decomposition: Optimization Landscape and One-loop Convergence of Alternating Least Squares

Ziang Chen, Yingzhou Li, Jianfeng Lu

In this work, we study the tensor ring decomposition and its associated numerical algorithms. We establish a sharp transition of algorithmic difficulty of the optimization problem…

math.NA2019★ 38 cited

Variational training of neural network approximations of solution maps for physical models

Yingzhou Li, Jianfeng Lu, Anqi Mao

A novel solve-training framework is proposed to train neural network in representing low dimensional solution maps of physical models. Solve-training framework uses the neural netw…

physics.chem-ph2019★ 47 cited

Coordinate descent full configuration interaction

Zhe Wang, Yingzhou Li, Jianfeng Lu

We develop an efficient algorithm, coordinate descent FCI (CDFCI), for the electronic structure ground state calculation in the configuration interaction framework. CDFCI solves an…

math.NA2018★ 21 cited

Coordinate-wise descent methods for leading eigenvalue problem

Yingzhou Li, Jianfeng Lu, Zhe Wang

Leading eigenvalue problems for large scale matrices arise in many applications. Coordinate-wise descent methods are considered in this work for such problems based on a reformulat…