b'Qin Li'

research

∙ 09/10/2023

Numerical reconstruction of the kinetic chemotaxis kernel from macroscopic measurement, wellposedness and illposedness

Directed bacterial motion due to external stimuli (chemotaxis) can, on t...

0 Kathrin Hellmuth, et al. ∙

research

∙ 08/21/2023

Beyond expectations: Residual Dynamic Mode Decomposition and Variance for Stochastic Dynamical Systems

Koopman operators linearize nonlinear dynamical systems, making their sp...

0 Matthew J. Colbrook, et al. ∙

research

∙ 06/03/2023

Correcting auto-differentiation in neural-ODE training

Does the use of auto-differentiation yield reasonable updates to deep ne...

0 Yewei Xu, et al. ∙

research

∙ 05/29/2023

Suppressing Instability in a Vlasov-Poisson System by an External Electric Field Through Constrained Optimization

Fusion energy offers the potential for the generation of clean, safe, an...

0 Lukas Einkemmer, et al. ∙

research

∙ 05/21/2023

On optimal bases for multiscale PDEs and Bayesian homogenization

PDE solutions are numerically represented by basis functions. Classical ...

0 Shi Chen, et al. ∙

research

∙ 05/06/2023

Differential-Equation Constrained Optimization With Stochasticity

Most inverse problems from physical sciences are formulated as PDE-const...

0 Qin Li, et al. ∙

research

∙ 03/13/2023

Evaluation of wait time saving effectiveness of triage algorithms

In the past decade, Artificial Intelligence (AI) algorithms have made pr...

0 Yee Lam Elim Thompson, et al. ∙

research

∙ 01/25/2023

Delegated variational quantum algorithms based on quantum homomorphic encryption

Variational quantum algorithms (VQAs) are considered as one of the most ...

0 Qin Li, et al. ∙

research

∙ 12/29/2022

Inference of interaction kernels in mean-field models of opinion dynamics

In models of opinion dynamics, many parameters – either in the form of c...

0 Weiqi Chu, et al. ∙

research

∙ 12/12/2022

Solving the Wide-band Inverse Scattering Problem via Equivariant Neural Networks

This paper introduces a novel deep neural network architecture for solvi...

0 Borong Zhang, et al. ∙

research

∙ 12/12/2022

Spatial-temporal traffic modeling with a fusion graph reconstructed by tensor decomposition

Accurate spatial-temporal traffic flow forecasting is essential for help...

0 Qin Li, et al. ∙

research

∙ 11/04/2022

A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data

Solar activity is usually caused by the evolution of solar magnetic fiel...

0 Haodi Jiang, et al. ∙

research

∙ 10/08/2022

Inferring Line-of-Sight Velocities and Doppler Widths from Stokes Profiles of GST/NIRIS Using Stacked Deep Neural Networks

Obtaining high-quality magnetic and velocity fields through Stokes inver...

0 Haodi Jiang, et al. ∙

research

∙ 09/28/2022

Solar Flare Index Prediction Using SDO/HMI Vector Magnetic Data Products with Statistical and Machine Learning Methods

Solar flares, especially the M- and X-class flares, are often associated...

0 Hewei Zhang, et al. ∙

research

∙ 09/25/2022

Monte Carlo Gradient in Optimization Constrained by Radiative Transport Equation

Can Monte Carlo (MC) solvers be directly used in gradient-based methods ...

0 Qin Li, et al. ∙

research

∙ 08/02/2022

Improvements to enhance robustness of third-order scale-independent WENO-Z schemes

Although there are many improvements to WENO3-Z that target the achievem...

0 Qin Li, et al. ∙

research

∙ 04/01/2022

Computation of optimal beams in weak turbulence

When an optical beam propagates through a turbulent medium such as the a...

0 Qin Li, et al. ∙

research

∙ 03/27/2022

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network

Solar energetic particles (SEPs) are an essential source of space radiat...

0 Yasser Abduallah, et al. ∙

research

∙ 01/18/2022

Second-order diffusion limit for the phonon transport equation-asymptotics and numerics

We investigate the numerical implementation of the limiting equation for...

0 Anjali Nair, et al. ∙

research

∙ 01/10/2022

High-frequency limit of the inverse scattering problem: asymptotic convergence from inverse Helmholtz to inverse Liouville

We investigate the asymptotic relation between the inverse problems rely...

0 Shi Chen, et al. ∙

research

∙ 11/25/2021

Low-rank approximation for multiscale PDEs

Historically, analysis for multiscale PDEs is largely unified while nume...

0 Ke Chen, et al. ∙

research

∙ 11/03/2021

A reduced order Schwarz method for nonlinear multiscale elliptic equations based on two-layer neural networks

Neural networks are powerful tools for approximating high dimensional da...

0 Shi Chen, et al. ∙

research

∙ 10/29/2021

Quasi-linear analysis of dispersion relation preservation for nonlinear schemes

In numerical simulations of complex flows with discontinuities, it is ne...

0 Fengyuan Xu, et al. ∙

research

∙ 10/19/2021

Improved cooperation by balancing exploration and exploitation in intertemporal social dilemma tasks

When an individual's behavior has rational characteristics, this may lea...

0 Zhenbo Cheng, et al. ∙

research

∙ 10/06/2021

On the Global Convergence of Gradient Descent for multi-layer ResNets in the mean-field regime

Finding the optimal configuration of parameters in ResNet is a nonconvex...

0 Zhiyan Ding, et al. ∙

research

∙ 07/28/2021

Third-order scale-independent WENO-Z scheme achieving optimal order at critical points

As we found previously, when critical points occur within grid intervals...

0 Qin Li, et al. ∙

research

∙ 07/16/2021

Tracing Halpha Fibrils through Bayesian Deep Learning

We present a new deep learning method, dubbed FibrilNet, for tracing chr...

8 Haodi Jiang, et al. ∙

research

∙ 05/30/2021

Overparameterization of deep ResNet: zero loss and mean-field analysis

Finding parameters in a deep neural network (NN) that fit training data ...

0 Zhiyan Ding, et al. ∙

research

∙ 05/02/2021

Bridging and Improving Theoretical and Computational Electric Impedance Tomography via Data Completion

In computational PDE-based inverse problems, a finite amount of data is ...

0 Tan Bui-Thanh, et al. ∙

research

∙ 05/02/2021

Dynamic Routing for Traffic Flow through Multi-agent Systems

Routing strategies for traffics and vehicles have been historically stud...

0 Jizhe Zhou, et al. ∙

research

∙ 02/08/2021

Constrained Ensemble Langevin Monte Carlo

The classical Langevin Monte Carlo method looks for i.i.d. samples from ...

0 Zhiyan Ding, et al. ∙

research

∙ 02/07/2021

SR-Affine: High-quality 3D hand model reconstruction from UV Maps

Under various poses and heavy occlusions,3D hand model reconstruction ba...

3 Ping Chen, et al. ∙

research

∙ 01/27/2021

On developing piecewise rational mapping with fine regulation capability for WENO schemes

On the idea of mapped WENO-JS scheme, properties of mapping methods are ...

0 Qin Li, et al. ∙

research

∙ 12/26/2020

Semi-classical limit of an inverse problem for the Schrödinger equation

It is a classical derivation that the Wigner equation, derived from the ...

0 Shi Chen, et al. ∙

research

∙ 11/25/2020

Reconstructing the thermal phonon transmission coefficient at solid interfaces in the phonon transport equation

The ab initio model for heat propagation is the phonon transport equatio...

0 Irene M. Gamba, et al. ∙

research

∙ 11/01/2020

Manifold Learning and Nonlinear Homogenization

We describe an efficient domain decomposition-based framework for nonlin...

0 Shi Chen, et al. ∙

research

∙ 10/22/2020

Random Coordinate Underdamped Langevin Monte Carlo

The Underdamped Langevin Monte Carlo (ULMC) is a popular Markov chain Mo...

0 Zhiyan Ding, et al. ∙

research

∙ 10/03/2020

Random Coordinate Langevin Monte Carlo

Langevin Monte Carlo (LMC) is a popular Markov chain Monte Carlo samplin...

4 Zhiyan Ding, et al. ∙

research

∙ 07/26/2020

Langevin Monte Carlo: random coordinate descent and variance reduction

Sampling from a log-concave distribution function on ℝ^d (with d≫ 1) is ...

3 Zhiyan Ding, et al. ∙

research

∙ 07/17/2020

PAC Model Checking of Black-Box Continuous-Time Dynamical Systems

In this paper we present a novel model checking approach to finite-time ...

0 Bai Xue, et al. ∙

research

∙ 06/21/2020

A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics, and Benchmark Datasets

Machine Reading Comprehension (MRC) is a challenging NLP research field ...

49 Chengchang Zeng, et al. ∙

research

∙ 06/10/2020

Variance reduction for Langevin Monte Carlo in high dimensional sampling problems

Sampling from a log-concave distribution function is one core problem th...

5 Zhiyan Ding, et al. ∙

research

∙ 05/27/2020

Security Improvements of Several Basic Quantum Private Query Protocols with O(log N) Communication Complexity

New quantum private database (with N elements) query protocols are prese...

0 Fang Yu, et al. ∙

research

∙ 05/10/2020

Non-recurrent Traffic Congestion Detection with a Coupled Scalable Bayesian Robust Tensor Factorization Model

Non-recurrent traffic congestion (NRTC) usually brings unexpected delays...

2 Qin Li, et al. ∙

research

∙ 03/04/2020

Ensemble Kalman Inversion for nonlinear problems: weights, consistency, and variance bounds

Ensemble Kalman Inversion (EnKI), originally derived from Enseble Kalman...

0 Zhiyan Ding, et al. ∙

research

∙ 02/12/2020

Semi-classical limit for the varying-mass Schrödinger equation with random inhomogeneities

The varying-mass Schrödinger equation (VMSE) has been successfully appli...

0 Shi Chen, et al. ∙

research

∙ 01/24/2020

Guaranteed Lower Eigenvalue Bound of Steklov Operator with Conforming Finite Element Methods

For the eigenvalue problem of the Steklov differential operator, by foll...

0 Qin Li, et al. ∙

research

∙ 10/28/2019

Ensemble Kalman Sampling: mean-field limit and convergence analysis

Ensemble Kalman sampling (EKS) is a method to find i.i.d. samples from a...

0 Zhiyan Ding, et al. ∙

research

∙ 10/18/2019

Error Lower Bounds of Constant Step-size Stochastic Gradient Descent

Stochastic Gradient Descent (SGD) plays a central role in modern machine...

0 Zhiyan Ding, et al. ∙

research

∙ 10/04/2019

Schwarz iteration method for elliptic equation with rough media based on random sampling

We propose a computationally efficient Schwarz method for elliptic equat...

0 Ke Chen, et al. ∙

Qin Li

Featured Co-authors