Yuebing Liang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 14

Top Topics

Data Imputation

Bayesian Nonparametric

Top Venues

IEEE Trans. Intell. Transp. Syst.

Comput. Environ. Urban Syst.

Publications

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) (2024)
Yuebing Liang, Yichao Liu, Xiaohan Wang, Zhan Zhao
Exploring large language models for human mobility prediction under public events. Comput. Environ. Urban Syst. 112 (2024)
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 (2024)
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 (2023)
Yuebing Liang, Yichao Liu, Xiaohan Wang, Zhan Zhao
Exploring Large Language Models for Human Mobility Prediction under Public Events. CoRR (2023)
Yuebing Liang, Fangyi Ding, Guan Huang, Zhan Zhao
Deep trip generation with graph neural networks for bike sharing system expansion. CoRR (2023)
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) (2022)
Yuebing Liang, Guan Huang, Zhan Zhao
Bike Sharing Demand Prediction based on Knowledge Sharing across Modes: A Graph-based Deep Learning Approach. ITSC (2022)
Yuebing Liang, Guan Huang, Zhan Zhao
Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction using Domain-Adversarial Graph Neural Networks. CoRR (2022)
Yuebing Liang, Guan Huang, Zhan Zhao
Bike Sharing Demand Prediction based on Knowledge Sharing across Modes: A Graph-based Deep Learning Approach. CoRR (2022)
Zhan Zhao, Yuebing Liang
Deep Inverse Reinforcement Learning for Route Choice Modeling. CoRR (2022)
Yuebing Liang, Guan Huang, Zhan Zhao
Joint Demand Prediction for Multimodal Systems: A Multi-task Multi-relational Spatiotemporal Graph Neural Network Approach. CoRR (2021)
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 (2021)
Yuebing Liang, Zhan Zhao, Lijun Sun
Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns. CoRR (2021)