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Browsing by Author Liang, Yuebing
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Showing results 1 to 13 of 13
Title
Author(s)
Issue Date
A Graph Deep Learning Model for Station Ridership Prediction in Expanding Metro Networks
Proceeding/Conference:
UrbanAI '24: The 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI (29/10/2024-01/11/2024, Atlanta, GA)
Ding, Fangyi
Liang, Yuebing
Wang, Yamin
Tang, Yan
Zhou, Yang
Zhao, Zhan
29-Oct-2024
Analyzing sequential activity and travel decisions with interpretable deep inverse reinforcement learning
Journal:
Travel Behaviour and Society
Liang, Yuebing
Wang, Shenhao
Yu, Jiangbo
Zhao, Zhan
Zhao, Jinhua
Pentland, Sandy
1-Apr-2026
Architectural design and building-level infections during the early stage of COVID-19: A study of 2597 public housing buildings in Hong Kong
Journal:
Building and Environment
Qiao, Qingyao
Ren, Chongyang
Chen, Shuning
Liang, Yuebing
Lai, Ka Yan Yvonne
Zhou, Yulun
Schuldenfrei, Eric
Sarkar, Chinmoy
Webster, Chris
15-May-2025
Comparing effectiveness of point of interest data and land use data in theft crime modelling: A case study in Beijing
Journal:
Land Use Policy
Feng, Jiajia
Liang, Yuebing
Hao, Qi
Xu, Ke
Qiu, Waishan
1-Dec-2024
Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction Using Domain-Adversarial Graph Neural Networks
Journal:
IEEE Transactions on Intelligent Transportation Systems
Liang, Yuebing
Huang, Guan
Zhao, Zhan
17-Oct-2023
Deep trip generation with graph neural networks for bike sharing system expansion
Journal:
Transportation Research Part C: Emerging Technologies
Liang, Yuebing
Ding, Fangyi
Huang, Guan
Zhao, Zhan
1-Sep-2023
Exploring large language models for human mobility prediction under public events
Journal:
Computers, Environment and Urban Systems
Liang, Yuebing
Liu, Yichao
Wang, Xiaohan
Zhao, Zhan
1-Sep-2024
Generating sparse origin–destination flows on shared mobility networks using probabilistic graph neural networks
Journal:
Sustainable Cities and Society
Liang, Yuebing
Zhao, Zhan
Webster, Chris
1-Nov-2024
Planning-oriented travel demand forecasting for evolving transportation systems using deep neural networks
Liang, Yuebing
梁月冰
Advisor(s):
Zhao, Z
Webster, CJ
Schuldenfrei, EH
Zhou, J
2024
RouteKG: A Knowledge Graph-Based Framework for Route Prediction on Road Networks
Journal:
{IEEE} Transactions on Intelligent Transportation Systems
Tang, Yihong
Zhao, Zhan
Deng, Weipeng
Lei, Shuyu
Liang, Yuebing
Ma, Zhenliang
10-Oct-2025
Time-aware trip generation for bike sharing system planning
Proceeding/Conference:
29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023) (06/08/2023-10/08/2023, Long Beach, CA, USA)
Liang, Yuebing
Ding, Fangyi
Tang, Yihong
Zhao, Zhan
23-Aug-2023
Time-dependent trip generation for bike sharing planning: A multi-task memory-augmented graph neural network
Journal:
Information Fusion
Liang, Yuebing
Zhao, Zhan
Ding, Fangyi
Tang, Yihong
He, Zhengbing
1-Jun-2024
Understanding market competition between transportation network companies using big data
Journal:
Transportation Research Part A: Policy and Practice
Huang, Guan
Liang, Yuebing
Zhao, Zhan
1-Jul-2023