Yuebing Liang

According to our database, Yuebing Liang authored at least 18 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Designing streetscapes from street-view imagery using diffusion models.

Yuzhou Chen, Yuebing Liang, Lingqian Hu, Kailai Sun, Qingqi Song, Chang Zhao, Shenhao Wang

CoRR, May, 2026

Envisioning global urban development with satellite imagery and generative AI.

Kailai Sun, Yuebing Liang, Mingyi He, Yunhan Zheng, Alok Prakash, Shenhao Wang, Jinhua Zhao, Alex 'Sandy' Pentland

CoRR, March, 2026

2025

RouteKG: A Knowledge Graph-Based Framework for Route Prediction on Road Networks.

Yihong Tang, Zhan Zhao, Weipeng Deng, Shuyu Lei, Yuebing Liang, Zhenliang Ma

IEEE Trans. Intell. Transp. Syst., December, 2025

Generative AI for Urban Design: A Stepwise Approach Integrating Human Expertise with Multimodal Diffusion Models.

Mingyi He, Yuebing Liang, Shenhao Wang, Yunhan Zheng, Qingyi Wang, Dingyi Zhuang, Li Tian, Jinhua Zhao

CoRR, May, 2025

Analyzing sequential activity and travel decisions with interpretable deep inverse reinforcement learning.

Yuebing Liang, Shenhao Wang, Jiangbo Yu, Zhan Zhao, Jinhua Zhao, Sandy Pentland

CoRR, March, 2025

Generative AI for urban planning: Synthesizing satellite imagery via diffusion models.

Qingyi Wang, Yuebing Liang, Yunhan Zheng, Kaiyuan Xu, Jinhua Zhao, Shenhao Wang

Comput. Environ. Urban Syst., 2025

2024

Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction Using Domain-Adversarial Graph Neural Networks.

Yuebing Liang, Guan Huang, Zhan Zhao

IEEE Trans. Intell. Transp. Syst., May, 2024

Exploring large language models for human mobility prediction under public events.

Yuebing Liang, Yichao Liu, Xiaohan Wang, Zhan Zhao

Comput. Environ. Urban Syst., 2024

Time-dependent trip generation for bike sharing planning: A multi-task memory-augmented graph neural network.

Yuebing Liang, Zhan Zhao, Fangyi Ding, Yihong Tang, Zhengbing He

Inf. Fusion, 2024

A Graph Deep Learning Model for Station Ridership Prediction in Expanding Metro Networks.

Fangyi Ding, Yuebing Liang, Yamin Wang, Yan Tang, Yang Zhou, Zhan Zhao

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI, 2024

HEDGE: Heterogeneous Semantic Dynamic Graph Framework for Log Anomaly Detection in Digital Service Network.

Bohao Qian, Mengying Zhu, Mengyuan Yang, Enze Wu, Guojie Xie, Yuebing Liang, Xiaolin Zheng

Proceedings of the IEEE International Conference on Web Services, 2024

2023

Deep trip generation with graph neural networks for bike sharing system expansion.

Yuebing Liang, Fangyi Ding, Guan Huang, Zhan Zhao

CoRR, 2023

2022

NetTraj: A Network-Based Vehicle Trajectory Prediction Model With Directional Representation and Spatiotemporal Attention Mechanisms.

Yuebing Liang, Zhan Zhao

IEEE Trans. Intell. Transp. Syst., 2022

Deep Inverse Reinforcement Learning for Route Choice Modeling.

Zhan Zhao, Yuebing Liang

CoRR, 2022

Bike Sharing Demand Prediction based on Knowledge Sharing across Modes: A Graph-based Deep Learning Approach.

Yuebing Liang, Guan Huang, Zhan Zhao

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

Joint Demand Prediction for Multimodal Systems: A Multi-task Multi-relational Spatiotemporal Graph Neural Network Approach.

Yuebing Liang, Guan Huang, Zhan Zhao

CoRR, 2021

Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns.

Yuebing Liang, Zhan Zhao, Lijun Sun

CoRR, 2021

Vehicle Trajectory Prediction in City-scale Road Networks using a Direction-based Sequence-to-Sequence Model with Spatiotemporal Attention Mechanisms.

Yuebing Liang, Zhan Zhao

CoRR, 2021