1 code implementation • 20 Dec 2021 • Boyuan Chen, Kuang Huang, Sunand Raghupathi, Ishaan Chandratreya, Qiang Du, Hod Lipson
All physical laws are described as relationships between state variables that give a complete and non-redundant description of the relevant system dynamics.
no code implementations • 6 Jun 2021 • Rongye Shi, Zhaobin Mo, Kuang Huang, Xuan Di, Qiang Du
Traffic state estimation (TSE) bifurcates into two categories, model-driven and data-driven (e. g., machine learning, ML), while each suffers from either deficient physics or small data.
1 code implementation • 21 Mar 2021 • Qiang Du, Yiqi Gu, Haizhao Yang, Chao Zhou
We put forward error estimates for these methods using the approximation property of deep networks.
no code implementations • 21 Jan 2021 • Ran Gu, Qiang Du, Simon J. L. Billinge
In the second stage, an interior point method is adopted to accelerate the local convergence.
Optimization and Control Numerical Analysis Numerical Analysis 65K10, 90C26 G.1.6; F.2.1
no code implementations • 17 Jan 2021 • Rongye Shi, Zhaobin Mo, Kuang Huang, Xuan Di, Qiang Du
This paper focuses on highway TSE with observed data from loop detectors, using traffic density as the traffic variables.
no code implementations • 15 Dec 2020 • Kuang Huang, Xu Chen, Xuan Di, Qiang Du
In this paper, we aim to develop a game-theoretic model to solve for AVs's optimal driving strategies of velocity control in the interior of a road link and route choice at a junction node.
Autonomous Vehicles Decision Making Optimization and Control Systems and Control Systems and Control
no code implementations • 13 Apr 2020 • Kun Wang, WaiChing Sun, Qiang Du
The evaluation of constitutive models, especially for high-risk and high-regret engineering applications, requires efficient and rigorous third-party calibration, validation and falsification.
no code implementations • 29 Dec 2019 • Rachael Keller, Qiang Du
Linear multistep methods (LMMs) are popular time discretization techniques for the numerical solution of differential equations.
no code implementations • 17 Jun 2019 • Qiang Du, Lorenzo Toniazzi, Zirui Xu
Based on the popular Caputo fractional derivative of order $\beta$ in $(0, 1)$, we define the censored fractional derivative on the positive half-line $\mathbb R_+$.
Classical Analysis and ODEs Probability 26A33, 60G52, 60G40
no code implementations • 8 Mar 2019 • Kun Wang, WaiChing Sun, Qiang Du
We introduce a multi-agent meta-modeling game to generate data, knowledge, and models that make predictions on constitutive responses of elasto-plastic materials.
no code implementations • 1 Dec 2018 • Qi Sun, Yunzhe Tao, Qiang Du
During the last few years, significant attention has been paid to the stochastic training of artificial neural networks, which is known as an effective regularization approach that helps improve the generalization capability of trained models.
2 code implementations • 2 Jun 2018 • Yunzhe Tao, Lin Ma, Weizhong Zhang, Jian Liu, Wei Liu, Qiang Du
Time series prediction has been studied in a variety of domains.
no code implementations • NeurIPS 2018 • Yunzhe Tao, Qi Sun, Qiang Du, Wei Liu
Nonlocal neural networks have been proposed and shown to be effective in several computer vision tasks, where the nonlocal operations can directly capture long-range dependencies in the feature space.
no code implementations • 9 May 2018 • Li Wang, Junlin Yao, Yunzhe Tao, Li Zhong, Wei Liu, Qiang Du
In this paper, we propose a deep learning approach to tackle the automatic summarization tasks by incorporating topic information into the convolutional sequence-to-sequence (ConvS2S) model and using self-critical sequence training (SCST) for optimization.
Ranked #6 on Text Summarization on DUC 2004 Task 1