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ORCIDZhaobin Mo
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2020 – today
- 2024
[j5]Zhaobin Mo
, Haotian Xiang, Xuan Di:
Cross- and Context-Aware Attention Based Spatial-Temporal Graph Convolutional Networks for Human Mobility Prediction. ACM Trans. Spatial Algorithms Syst. 10(4): 1-25 (2024)- [c6]Zhaobin Mo, Yongjie Fu, Xuan Di:
PI-NeuGODE: Physics-Informed Graph Neural Ordinary Differential Equations for Spatiotemporal Trajectory Prediction. AAMAS 2024: 1418-1426 - [i12]Boxuan Wang, Haonan Duan, Yanhao Feng, Xu Chen, Yongjie Fu, Zhaobin Mo, Xuan Di:
Can LLMs Understand Social Norms in Autonomous Driving Games? CoRR abs/2408.12680 (2024) - [i11]Yongjie Fu, Anmol Jain, Xuan Di, Xu Chen, Zhaobin Mo:
DriveGenVLM: Real-world Video Generation for Vision Language Model based Autonomous Driving. CoRR abs/2408.16647 (2024) - 2023
- [j4]Xuan Di, Rongye Shi, Zhaobin Mo, Yongjie Fu:
Physics-Informed Deep Learning for Traffic State Estimation: A Survey and the Outlook. Algorithms 16(6): 305 (2023) - [j3]Xuan Di, Yiqiao Yin, Yongjie Fu, Zhaobin Mo, Shaw-Hwa Lo, Carolyn DiGuiseppi, David W. Eby, Linda L. Hill, Thelma J. Mielenz, David Strogatz, Minjae Kim, Guohua Li:
Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score. Artif. Intell. Medicine 138: 102510 (2023) - [j2]Zhaobin Mo, Xuan Di, Rongye Shi:
Robust Data Sampling in Machine Learning: A Game-Theoretic Framework for Training and Validation Data Selection. Games 14(1): 13 (2023) - [i10]Xuan Di, Rongye Shi, Zhaobin Mo, Yongjie Fu:
Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook. CoRR abs/2303.02063 (2023) - 2022
- [j1]Rongye Shi, Zhaobin Mo, Kuang Huang, Xuan Di, Qiang Du:
A Physics-Informed Deep Learning Paradigm for Traffic State and Fundamental Diagram Estimation. IEEE Trans. Intell. Transp. Syst. 23(8): 11688-11698 (2022) - [c5]Zhaobin Mo, Yongjie Fu, Xuan Di:
Quantifying Uncertainty In Traffic State Estimation Using Generative Adversarial Networks. ITSC 2022: 2769-2774 - [c4]Zhaobin Mo, Yongjie Fu, Daran Xu, Xuan Di:
TrafficFlowGAN: Physics-Informed Flow Based Generative Adversarial Network for Uncertainty Quantification. ECML/PKDD (3) 2022: 323-339 - [i9]Zhaobin Mo, Yongjie Fu, Daran Xu, Xuan Di:
TrafficFlowGAN: Physics-informed Flow based Generative Adversarial Network for Uncertainty Quantification. CoRR abs/2206.09319 (2022) - [i8]Zhaobin Mo, Yongjie Fu, Xuan Di:
Quantifying Uncertainty In Traffic State Estimation Using Generative Adversarial Networks. CoRR abs/2206.09349 (2022) - 2021
- [c3]Rongye Shi, Zhaobin Mo, Xuan Di:
Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models. AAAI 2021: 540-547 - [i7]Rongye Shi, Zhaobin Mo, Kuang Huang, Xuan Di, Qiang Du:
Physics-Informed Deep Learning for Traffic State Estimation. CoRR abs/2101.06580 (2021) - [i6]Rongye Shi, Zhaobin Mo, Kuang Huang, Xuan Di, Qiang Du:
A Physics-Informed Deep Learning Paradigm for Traffic State Estimation and Fundamental Diagram Discovery. CoRR abs/2106.03142 (2021) - 2020
- [i5]Xingbo Fu, Xuan Di, Zhaobin Mo:
When Do Drivers Concentrate? Attention-based Driver Behavior Modeling With Deep Reinforcement Learning. CoRR abs/2002.11385 (2020) - [i4]Zhaobin Mo, Xuan Di, Rongye Shi:
A Physics-Informed Deep Learning Paradigm for Car-Following Models. CoRR abs/2012.13376 (2020)
2010 – 2019
- 2018
- [c2]Zhongyang Xiao, Zhaobin Mo, Kun Jiang, Diange Yang:
Multimedia Fusion at Semantic Level in Vehicle Cooperactive Perception. ICME Workshops 2018: 1-6 - [c1]Sisi Li, Wenshuo Wang, Zhaobin Mo, Ding Zhao:
Cluster Naturalistic Driving Encounters Using Deep Unsupervised Learning. Intelligent Vehicles Symposium 2018: 1354-1359 - [i3]Zhaobin Mo, Sisi Li, Diange Yang, Ding Zhao:
Extracting V2V Encountering Scenarios from Naturalistic Driving Database. CoRR abs/1802.09917 (2018) - [i2]Sisi Li, Wenshuo Wang, Zhaobin Mo, Ding Zhao:
Clustering of Naturalistic Driving Encounters Using Unsupervised Learning. CoRR abs/1802.10214 (2018) - [i1]Huajing Zhao, Zhaobin Mo, Macheng Shen, Jing Sun, Ding Zhao:
Interpenetrating Cooperative Localization in Dynamic Connected Vehicle Networks. CoRR abs/1804.10064 (2018)
Coauthor Index
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