Yuebing Liang - RankMe

22 papers A 1Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Envisioning global urban development with satellite imagery and generative AI. CoRR Kailai Sun, Yuebing Liang, Mingyi He, Yunhan Zheng, Alok Prakash, Shenhao Wang, Jinhua Zhao, Alex 'Sandy' Pentland
2025	J	`jnl`	Analyzing sequential activity and travel decisions with interpretable deep inverse reinforcement learning. CoRR Yuebing Liang, Shenhao Wang, Jiangbo Yu, Zhan Zhao, Jinhua Zhao, Sandy Pentland
2025	J	`jnl`	Generative AI for Urban Design: A Stepwise Approach Integrating Human Expertise with Multimodal Diffusion Models. CoRR Mingyi He, Yuebing Liang, Shenhao Wang, Yunhan Zheng, Qingyi Wang, Dingyi Zhuang, Li Tian, Jinhua Zhao
2025	J	`jnl`	Generative AI for Urban Planning: Synthesizing Satellite Imagery via Diffusion Models. CoRR Qingyi Wang, Yuebing Liang, Yunhan Zheng, Kaiyuan Xu, Jinhua Zhao, Shenhao Wang
2025	J	`jnl`	Generative AI for urban planning: Synthesizing satellite imagery via diffusion models. Comput. Environ. Urban Syst. Qingyi Wang, Yuebing Liang, Yunhan Zheng, Kaiyuan Xu, Jinhua Zhao, Shenhao Wang
2025	J	`jnl`	RouteKG: A Knowledge Graph-Based Framework for Route Prediction on Road Networks. IEEE Trans. Intell. Transp. Syst. Yihong Tang, Zhan Zhao, Weipeng Deng, Shuyu Lei, Yuebing Liang, Zhenliang Ma
2024	—	`conf`	A Graph Deep Learning Model for Station Ridership Prediction in Expanding Metro Networks. UrbanAI@SIGSPATIAL Fangyi Ding, Yuebing Liang, Yamin Wang, Yan Tang, Yang Zhou, Zhan Zhao
2024	J	`jnl`	Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction Using Domain-Adversarial Graph Neural Networks. IEEE Trans. Intell. Transp. Syst. Yuebing Liang, Guan Huang, Zhan Zhao
2024	J	`jnl`	Exploring large language models for human mobility prediction under public events. Comput. Environ. Urban Syst. Yuebing Liang, Yichao Liu, Xiaohan Wang, Zhan Zhao
2024	A	`conf`	HEDGE: Heterogeneous Semantic Dynamic Graph Framework for Log Anomaly Detection in Digital Service Network. ICWS Bohao Qian, Mengying Zhu, Mengyuan Yang, Enze Wu, Guojie Xie, Yuebing Liang, Xiaolin Zheng
2024	J	`jnl`	Time-dependent trip generation for bike sharing planning: A multi-task memory-augmented graph neural network. Inf. Fusion Yuebing Liang, Zhan Zhao, Fangyi Ding, Yihong Tang, Zhengbing He
2023	J	`jnl`	Deep trip generation with graph neural networks for bike sharing system expansion. CoRR Yuebing Liang, Fangyi Ding, Guan Huang, Zhan Zhao
2023	J	`jnl`	Exploring Large Language Models for Human Mobility Prediction under Public Events. CoRR Yuebing Liang, Yichao Liu, Xiaohan Wang, Zhan Zhao
2023	J	`jnl`	RouteKG: A knowledge graph-based framework for route prediction on road networks. CoRR Yihong Tang, Weipeng Deng, Shuyu Lei, Yuebing Liang, Zhenliang Ma, Zhan Zhao
2022	—	`conf`	Bike Sharing Demand Prediction based on Knowledge Sharing across Modes: A Graph-based Deep Learning Approach. ITSC Yuebing Liang, Guan Huang, Zhan Zhao
2022	J	`jnl`	Bike Sharing Demand Prediction based on Knowledge Sharing across Modes: A Graph-based Deep Learning Approach. CoRR Yuebing Liang, Guan Huang, Zhan Zhao
2022	J	`jnl`	Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction using Domain-Adversarial Graph Neural Networks. CoRR Yuebing Liang, Guan Huang, Zhan Zhao
2022	J	`jnl`	Deep Inverse Reinforcement Learning for Route Choice Modeling. CoRR Zhan Zhao, Yuebing Liang
2022	J	`jnl`	NetTraj: A Network-Based Vehicle Trajectory Prediction Model With Directional Representation and Spatiotemporal Attention Mechanisms. IEEE Trans. Intell. Transp. Syst. Yuebing Liang, Zhan Zhao
2021	J	`jnl`	Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns. CoRR Yuebing Liang, Zhan Zhao, Lijun Sun
2021	J	`jnl`	Joint Demand Prediction for Multimodal Systems: A Multi-task Multi-relational Spatiotemporal Graph Neural Network Approach. CoRR Yuebing Liang, Guan Huang, Zhan Zhao
2021	J	`jnl`	Vehicle Trajectory Prediction in City-scale Road Networks using a Direction-based Sequence-to-Sequence Model with Spatiotemporal Attention Mechanisms. CoRR Yuebing Liang, Zhan Zhao