Qiang Du - IEEE Xplore Author Profile
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Qiang Du

Publications
3
Citations
93
Publications by Year
20162022
Co-Authors:
Show All Co-Authors (14)
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Qiang Du

Affiliation

Department of Applied Physics and Applied Mathematics
Columbia University
New York City, NY, USA
Data Science Institute
Columbia University
New York City, NY, USA

Publication Topics

Biography

Qiang Du received the Ph.D. degree from Carnegie Mellon University in 1988.,He is currently the Fu Foundation Professor of applied mathematics with the Department of Applied Physics and Applied Mathematics, Columbia University. He is also a co-chair of the Center for Computing Systems for Data-Driven Science, Data Science Institute, Columbia University. His research interests are in numerical analysis, mathematical modeling, and scientific computation with applications in physical and data sciences. He is a fellow of SIAM, AMS, and AAAS.(Based on document published on 8 September 2021).
Publications
3
Citations
93
Publications by Year
20162022
Co-Authors:
Show All Co-Authors (14)
Author's Published Works

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A Physics-Informed Deep Learning Paradigm for Traffic State and Fundamental Diagram Estimation

Rongye Shi;Zhaobin Mo;Kuang Huang;Xuan Di;Qiang Du

IEEE Transactions on Intelligent Transportation Systems
Year: 2022 | Volume: 23, Issue: 8 | Journal Article |
Cited by: Papers (52)
Traffic state estimation (TSE) bifurcates into two main categories, model-driven and data-driven (e.g., machine learning, ML) approaches, while each suffers from either deficient physics or small data. To mitigate these limitations, recent studies introduced hybrid methods, such as physics-informed deep learning (PIDL), which contains both model-driven and data-driven components. This paper contri...Show More

A Physics-Informed Deep Learning Paradigm for Traffic State and Fundamental Diagram Estimation

Rongye Shi;Zhaobin Mo;Kuang Huang;Xuan Di;Qiang Du

Year: 2022 | Volume: 23, Issue: 8 | Journal Article |

Stabilizing Traffic via Autonomous Vehicles: A Continuum Mean Field Game Approach

Kuang Huang;Xuan Di;Qiang Du;Xi Chen

2019 IEEE Intelligent Transportation Systems Conference (ITSC)
Year: 2019 | Conference Paper |
Cited by: Papers (6)
This paper presents scalable traffic stability analysis for both pure autonomous vehicle (AV) traffic and mixed traffic based on continuum traffic flow models. Human vehicles are modeled by a non-equilibrium traffic flow model, i.e., Aw-Rascle-Zhang (ARZ), which is unstable. AVs are modeled by the mean field game which assumes AVs are rational agents with anticipation capacities. It is shown from ...Show More

Stabilizing Traffic via Autonomous Vehicles: A Continuum Mean Field Game Approach

Kuang Huang;Xuan Di;Qiang Du;Xi Chen

Year: 2019 | Conference Paper |

Extreme-Scale Phase Field Simulations of Coarsening Dynamics on the Sunway TaihuLight Supercomputer

Jian Zhang;Chunbao Zhou;Yangang Wang;Lili Ju;Qiang Du;Xuebin Chi;Dongsheng Xu;Dexun Chen;Yong Liu;Zhao Liu

SC '16: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
Year: 2016 | Conference Paper |
Cited by: Papers (35)
Many important properties of materials such as strength, ductility, hardness and conductivity are determined by the microstructures of the material. During the formation of these microstructures, grain coarsening plays an important role. The Cahn-Hilliard equation has been applied extensively to simulate the coarsening kinetics of a two-phase microstructure. It is well accepted that the limited ca...Show More

Extreme-Scale Phase Field Simulations of Coarsening Dynamics on the Sunway TaihuLight Supercomputer

Jian Zhang;Chunbao Zhou;Yangang Wang;Lili Ju;Qiang Du;Xuebin Chi;Dongsheng Xu;Dexun Chen;Yong Liu;Zhao Liu

Year: 2016 | Conference Paper |

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