b'Tao Tang'

AI Chat

Featured Co-authors

Jun Li
229 publications
Xiaodan Liang
197 publications
Li Wang
151 publications
Zheng Wang
151 publications
Peng Zhang
141 publications
Dong Li
125 publications
Lei Yang
117 publications
Xinyu Zhang
106 publications
Feng Wang
90 publications
Peng Chen
79 publications
Jiaying Liu
70 publications

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...

0 Lei Yang, et al. ∙

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...

0 Zhiwei Gao, et al. ∙

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...

0 Tao Tang, et al. ∙

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...

0 Chih-Li Sung, et al. ∙

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...

0 Jianbin Fang, et al. ∙

research

∙ 10/16/2022

Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers

Automatic data augmentation (AutoAugment) strategies are indispensable i...

3 Tao Tang, et al. ∙

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...

0 Tingting Liang, et al. ∙

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...

0 Hong-lin Liao, et al. ∙

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...

0 Zhaohui Fu, et al. ∙

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...

0 Zhaohui Fu, et al. ∙

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...

0 Chaoyu Quan, et al. ∙

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...

0 Xiangtai Chen, et al. ∙

research

∙ 12/13/2021

Limits of epidemic prediction using SIR models

The Susceptible-Infectious-Recovered (SIR) equations and their extension...

0 Omar Melikechi, et al. ∙

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...

0 Dong Li, et al. ∙

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 ...

0 Dong Li, et al. ∙

research

∙ 06/16/2021

Sharp convergence to steady states of Allen-Cahn

In our recent work we found a surprising breakdown of symmetry conservat...

0 Dong Li, et al. ∙

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...

0 Changlin Li, et al. ∙

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...

0 Honglin Liao, et al. ∙

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...

0 Hong-lin Liao, et al. ∙

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...

0 Hong-lin Liao, et al. ∙

research

∙ 09/14/2020

Numerical Energy Dissipation for Time-Fractional Phase-Field Equations

The energy dissipation is an important and essential property of classic...

0 Chaoyu Quan, et al. ∙

research

∙ 08/20/2020

Understanding the Advisor-advisee Relationship via Scholarly Data Analysis

Advisor-advisee relationship is important in academic networks due to it...

0 Jiaying Liu, et al. ∙

research

∙ 08/15/2020

An Augmented Regression Model for Tensors with Missing Values

Heterogeneous but complementary sources of data provide an unprecedented...

0 Feng Wang, et al. ∙

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...

0 Dong Li, et al. ∙

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...

0 Hong-lin Liao, et al. ∙

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...

0 Tao Tang, et al. ∙

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...

0 Jianbin Fang, et al. ∙

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...

0 Peng Zhang, et al. ∙

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 ...

4 Zhihui Wang, et al. ∙

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...

0 Hong-lin Liao, et al. ∙

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 ...

0 Hong-lin Liao, et al. ∙

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...

0 Changtao Sheng, et al. ∙

research

∙ 02/08/2018

Tuning Streamed Applications on Intel Xeon Phi: A Machine Learning Based Approach

Many-core accelerators, as represented by the XeonPhi coprocessors and G...

0 Peng Zhang, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world