Concepedia

Zhaobin Mo

ZM

10

Publications

453

Citations

10

H-Index

2018

Active since

Affiliations

Columbia University(Current)

University of Michigan

Tsinghua University

Zhaobin Mo is an author at Columbia University specializing in engineering, deep learning, and data science.

Top concepts

EngineeringData ScienceDeep LearningComputer ScienceMachine LearningIntelligent SystemsSystems EngineeringCognitive SciencePattern RecognitionData Mining

Publications per year

2018–2023

10

Publications

10

A physics-informed deep learning paradigm for car-following models

Zhaobin Mo, Rongye Shi, Xuan Di · Transportation Research Part C Emerging Technologies · 2021 · 168 citations · Full text

Engineering, Machine Learning, Data Science +6

Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models

Rongye Shi, Zhaobin Mo, Xuan Di · Proceedings of the AAAI Conference on Artificial Intelligence · 2021 · 90 citations · Full text

Traffic Variables, Highway Tse, Intelligent Traffic Management +14

CVLight: Decentralized learning for adaptive traffic signal control with connected vehicles

Zhaobin Mo, Wangzhi Li, Yongjie Fu et al. · Transportation Research Part C Emerging Technologies · 2022 · 52 citations

Vehicle Communication, Intelligent Traffic Management, Engineering +7

Physics-Informed Deep Learning for Traffic State Estimation: A Survey and the Outlook

Xuan Di, Rongye Shi, Zhaobin Mo et al. · Algorithms · 2023 · 42 citations · Full text

Artificial Intelligence, Geometric Learning, Engineering +17

Cluster Naturalistic Driving Encounters Using Deep Unsupervised Learning

Sisi Li, Wenshuo Wang, Zhaobin Mo et al. · 2018 · 31 citations

Ann Arbor, Cognitive Science, Engineering +15

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