research
∙
03/15/2023
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection
While most recent autonomous driving system focuses on developing percep...
share
research
∙
02/03/2023
Failure-informed adaptive sampling for PINNs, Part II: combining with re-sampling and subset simulation
This is the second part of our series works on failure-informed adaptive...
research
∙
02/01/2023
Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery
In many areas of science and engineering, computer simulations are widel...
research
∙
11/01/2022
Stacking designs: designing multi-fidelity computer experiments with confidence
In an era where scientific experiments can be very costly, multi-fidelit...
research
∙
10/21/2022
Programming Bare-Metal Accelerators with Heterogeneous Threading Models: A Case Study of Matrix-3000
As the hardware industry moves towards using specialized heterogeneous m...
research
∙
10/16/2022
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers
Automatic data augmentation (AutoAugment) strategies are indispensable i...
research
∙
05/27/2022
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework
Fusing the camera and LiDAR information has become a de-facto standard f...
research
∙
04/27/2022
Discrete energy analysis of the third-order variable-step BDF time-stepping for diffusion equations
This is one of our series works on discrete energy analysis of the varia...
research
∙
03/11/2022
Unconditionally energy decreasing high-order Implicit-Explicit Runge-Kutta methods for phase-field models with the Lipschitz nonlinearity
Phase field models attract much attention these years. The energy natura...
research
∙
03/09/2022
Energy plus maximum bound preserving Runge-Kutta methods for the Allen-Cahn equation
It is difficult to design high order numerical schemes which could prese...
research
∙
02/24/2022
A decreasing upper bound of energy for time-fractional phase-field equations
In this article, we study the energy dissipation property of time-fracti...
research
∙
02/16/2022
Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks
With the explosive growth of new graduates with research degrees every y...
research
∙
12/13/2021
Limits of epidemic prediction using SIR models
The Susceptible-Infectious-Recovered (SIR) equations and their extension...
research
∙
08/11/2021
Energy dissipation of Strang splitting for Allen–Cahn
We consider a class of second-order Strang splitting methods for Allen-C...
research
∙
06/18/2021
Stability of the semi-implicit method for the Cahn-Hilliard equation with logarithmic potentials
We consider the two-dimensional Cahn-Hilliard equation with logarithmic ...
research
∙
06/16/2021
Sharp convergence to steady states of Allen-Cahn
In our recent work we found a surprising breakdown of symmetry conservat...
research
∙
03/23/2021
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
A myriad of recent breakthroughs in hand-crafted neural architectures fo...
research
∙
02/09/2021
A new discrete energy technique for multi-step backward difference formulas
The backward differentiation formula (BDF) is a useful family of implici...
research
∙
12/19/2020
An energy stable and maximum bound preserving scheme with variable time steps for time fractional Allen-Cahn equation
In this work, we propose a Crank-Nicolson-type scheme with variable step...
research
∙
11/26/2020
Positive definiteness of real quadratic forms resulting from the variable-step approximation of convolution operators
The positive definiteness of real quadratic forms with convolution struc...
research
∙
09/14/2020
Numerical Energy Dissipation for Time-Fractional Phase-Field Equations
The energy dissipation is an important and essential property of classic...
research
∙
08/20/2020
Understanding the Advisor-advisee Relationship via Scholarly Data Analysis
Advisor-advisee relationship is important in academic networks due to it...
research
∙
08/15/2020
An Augmented Regression Model for Tensors with Missing Values
Heterogeneous but complementary sources of data provide an unprecedented...
research
∙
08/09/2020
Stability analysis for the Implicit-Explicit discretization of the Cahn-Hilliard equation
Implicit-Explicit methods have been widely used for the efficient numeri...
research
∙
08/07/2020
Analysis of the second order BDF scheme with variable steps for the molecular beam epitaxial model without slope selection
In this work, we are concerned with the stability and convergence analys...
research
∙
06/12/2020
Revisit of Semi-Implicit Schemes for Phase-Field Equations
It is a very common practice to use semi-implicit schemes in various com...
research
∙
05/05/2020
Parallel Programming Models for Heterogeneous Many-Cores : A Survey
Heterogeneous many-cores are now an integral part of modern computing sy...
research
∙
03/05/2020
Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures: A Machine Learning Based Approach
This article presents an automatic approach to quickly derive a good sol...
research
∙
03/03/2020
UDD: An Underwater Open-sea Farm Object Detection Dataset for Underwater Robot Picking
To promote the development of underwater robot picking in sea farms, we ...
research
∙
03/01/2020
On energy stable, maximum-principle preserving, second order BDF scheme with variable steps for the Allen-Cahn equation
In this work, we investigate the two-step backward differentiation formu...
research
∙
09/23/2019
A second-order and nonuniform time-stepping maximum-principle preserving scheme for time-fractional Allen-Cahn equations
In this work, we present a second-order nonuniform time-stepping scheme ...
research
∙
08/27/2019
Fast Fourier-like Mapped Chebyshev Spectral-Galerkin Methods for PDEs with Integral Fractional Laplacian in Unbounded Domains
In this paper, we propose a fast spectral-Galerkin method for solving PD...
research
∙
02/08/2018
