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Journal Articles
- 2024
[j4]Yuebing Liang, Zhan Zhao
, Fangyi Ding, Yihong Tang, Zhengbing He:
Time-dependent trip generation for bike sharing planning: A multi-task memory-augmented graph neural network. Inf. Fusion 106: 102294 (2024)- [j3]Yuebing Liang, Guan Huang, Zhan Zhao:
Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction Using Domain-Adversarial Graph Neural Networks. IEEE Trans. Intell. Transp. Syst. 25(5): 3642-3653 (2024) - [j2]Yuebing Liang, Yichao Liu, Xiaohan Wang, Zhan Zhao:
Exploring large language models for human mobility prediction under public events. Comput. Environ. Urban Syst. 112: 102153 (2024) - 2022
- [j1]Yuebing Liang, Zhan Zhao:
NetTraj: A Network-Based Vehicle Trajectory Prediction Model With Directional Representation and Spatiotemporal Attention Mechanisms. IEEE Trans. Intell. Transp. Syst. 23(9): 14470-14481 (2022)
Conference and Workshop Papers
- 2024
- [c3]Bohao Qian, Mengying Zhu, Mengyuan Yang, Enze Wu, Guojie Xie, Yuebing Liang, Xiaolin Zheng:
HEDGE: Heterogeneous Semantic Dynamic Graph Framework for Log Anomaly Detection in Digital Service Network. ICWS 2024: 208-216 - [c2]Fangyi Ding, Yuebing Liang, Yamin Wang, Yan Tang, Yang Zhou, Zhan Zhao:
A Graph Deep Learning Model for Station Ridership Prediction in Expanding Metro Networks. UrbanAI@SIGSPATIAL 2024: 6-14 - 2022
- [c1]Yuebing Liang, Guan Huang, Zhan Zhao:
Bike Sharing Demand Prediction based on Knowledge Sharing across Modes: A Graph-based Deep Learning Approach. ITSC 2022: 857-862
Informal and Other Publications
- 2023
- [i9]Yuebing Liang, Fangyi Ding, Guan Huang, Zhan Zhao:
Deep trip generation with graph neural networks for bike sharing system expansion. CoRR abs/2303.11977 (2023) - [i8]Yihong Tang, Weipeng Deng, Shuyu Lei, Yuebing Liang, Zhenliang Ma, Zhan Zhao:
RouteKG: A knowledge graph-based framework for route prediction on road networks. CoRR abs/2310.03617 (2023) - [i7]Yuebing Liang, Yichao Liu, Xiaohan Wang, Zhan Zhao:
Exploring Large Language Models for Human Mobility Prediction under Public Events. CoRR abs/2311.17351 (2023) - 2022
- [i6]Yuebing Liang, Guan Huang, Zhan Zhao:
Bike Sharing Demand Prediction based on Knowledge Sharing across Modes: A Graph-based Deep Learning Approach. CoRR abs/2203.10961 (2022) - [i5]Zhan Zhao, Yuebing Liang:
Deep Inverse Reinforcement Learning for Route Choice Modeling. CoRR abs/2206.10598 (2022) - [i4]Yuebing Liang, Guan Huang, Zhan Zhao:
Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction using Domain-Adversarial Graph Neural Networks. CoRR abs/2211.08903 (2022) - 2021
- [i3]Yuebing Liang, Zhan Zhao:
Vehicle Trajectory Prediction in City-scale Road Networks using a Direction-based Sequence-to-Sequence Model with Spatiotemporal Attention Mechanisms. CoRR abs/2106.11175 (2021) - [i2]Yuebing Liang, Zhan Zhao, Lijun Sun:
Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns. CoRR abs/2109.08357 (2021) - [i1]Yuebing Liang, Guan Huang, Zhan Zhao:
Joint Demand Prediction for Multimodal Systems: A Multi-task Multi-relational Spatiotemporal Graph Neural Network Approach. CoRR abs/2112.08078 (2021)
Coauthor Index
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