:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hao, Xixuan, Li, Guicheng, Wu, Daiqiang, Guo, Xusen, Zhu, Yumeng, Zou, Zhichao, Zhen, Peng, Yao, Yao, Liang, Yuxuan
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2602.10502
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DiMA: An LLM-Powered Ride-Hailing Assistant at DiDi
by: Ning, Yansong, et al.
Published: (2025)

AgentSense: LLMs Empower Generalizable and Explainable Web-Based Participatory Urban Sensing
by: Guo, Xusen, et al.
Published: (2025)

Geospatial Representation Learning: A Survey from Deep Learning to The LLM Era
by: Hao, Xixuan, et al.
Published: (2025)

A Progressive Visual-Logic-Aligned Framework for Ride-Hailing Adjudication
by: Wu, Weiming, et al.
Published: (2026)

Heterogeneity in Women's Nighttime Ride-Hailing Intention: Evidence from an LC-ICLV Model Analysis
by: Wang, Ke, et al.
Published: (2025)

nuPlan-R: A Closed-Loop Planning Benchmark for Autonomous Driving via Reactive Multi-Agent Simulation
by: Peng, Mingxing, et al.
Published: (2025)

Long-term Fairness in Ride-Hailing Platform
by: Kang, Yufan, et al.
Published: (2024)

A Simulation Framework for Ride-Hailing with Electric Vehicles
by: Zhang, Chen, et al.
Published: (2024)

A Markovian Traffic Equilibrium Model for Ride-Hailing
by: Gao, Song, et al.
Published: (2026)

An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing
by: Yue, Xinlang, et al.
Published: (2024)

Language-Grounded Multi-Agent Planning for Personalized and Fair Participatory Urban Sensing
by: Guo, Xusen, et al.
Published: (2026)

DiVE: DiT-based Video Generation with Enhanced Control
by: Jiang, Junpeng, et al.
Published: (2024)

DiTS: Multimodal Diffusion Transformers Are Time Series Forecasters
by: Zhang, Haoran, et al.
Published: (2026)

Timing the Match: A Deep Reinforcement Learning Approach for Ride-Hailing and Ride-Pooling Services
by: Bao, Yiman, et al.
Published: (2025)

Maximal Compatibility Matching for Preference-Aware Ride-Hailing Systems
by: Brar, Avalpreet Singh, et al.
Published: (2025)

No-Regret Learning in Stackelberg Games with an Application to Electric Ride-Hailing
by: Maddux, Anna, et al.
Published: (2025)

Leveraging Eclipse MOSAIC for Modeling and Analyzing Ride-Hailing Services
by: Schrab, Karl, et al.
Published: (2024)

The Ride‐Hailing and Pricing Strategy Decision With the Application of Autonomous Vehicles
by: Bin Li, et al.
Published: (2025)

Select, then Balance: Exploring Exogenous Variable Modeling of Spatio-Temporal Forecasting
by: Chen, Wei, et al.
Published: (2025)

Enhancing Ride‐Hailing Demand Forecasting With Spatiotemporal Multiconvolution and Attention Mechanisms: A Comprehensive Approach Integrating Fourier Transforms for Periodicity Modeling
by: Junyang Wang, et al.
Published: (2025)

Hierarchical Pricing Game for Balancing the Charging of Ride-Hailing Electric Fleets
by: Maljkovic, Marko, et al.
Published: (2022)

The Impact of Autonomous Vehicles on Ride-Hailing Platforms with Strategic Human Drivers
by: Gao, Shuqin, et al.
Published: (2024)

Understanding the Spatial Variation of Integrated Use of Ride‐Hailing Services With the Metro
by: Mingyang Du, et al.
Published: (2024)

UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation
by: Zhong, Siru, et al.
Published: (2024)

CNCast: Leveraging 3D Swin Transformer and DiT for Enhanced Regional Weather Forecasting
by: Liang, Hongli, et al.
Published: (2025)

GeoDiT: A Diffusion-based Vision-Language Model for Geospatial Understanding
by: Liu, Jiaqi, et al.
Published: (2025)

Web Neural Network with Complete DiGraphs
by: Li, Frank
Published: (2024)

CoDi: Subject-Consistent and Pose-Diverse Text-to-Image Generation
by: Gao, Zhanxin, et al.
Published: (2025)

A Survey on Graph Neural Networks for Fraud Detection in Ride Hailing Platforms
by: Hewageegana, Kanishka, et al.
Published: (2025)

Cryptanalysis of a Privacy-Preserving Ride-Hailing Service from NSS 2022
by: Vivek, Srinivas
Published: (2025)

HCRide: Harmonizing Passenger Fairness and Driver Preference for Human-Centered Ride-Hailing
by: Jiang, Lin, et al.
Published: (2025)

Non-Exclusive Notifications for Ride-Hailing at Lyft II: Simulations and Marketplace Analysis
by: Ekbatani, Farbod, et al.
Published: (2026)

Investigating the Effects of Eco-Friendly Service Options on Rebound Behavior in Ride-Hailing
by: Zeqiri, Albin, et al.
Published: (2026)

Impacts of (Autonomous) Ride‐Hailing Services for Children's Independent Mobility: A Review
by: Johanna Reinhardt, et al.
Published: (2026)

GenMask: Adapting DiT for Segmentation via Direct Mask Generation
by: Yang, Yuhuan, et al.
Published: (2026)

Traffic-R1: Reinforced LLMs Bring Human-Like Reasoning to Traffic Signal Control Systems
by: Zou, Xingchen, et al.
Published: (2025)

DiSa: Saliency-Aware Foreground-Background Disentangled Framework for Open-Vocabulary Semantic Segmentation
by: Yao, Zhen, et al.
Published: (2026)

DiverseDiT: Towards Diverse Representation Learning in Diffusion Transformers
by: Yang, Mengping, et al.
Published: (2026)

Frailty-Aware Transformer for Recurrent Survival Modeling of Driver Retention in Ride-Hailing Platforms
by: Xu, Shuoyan, et al.
Published: (2025)

Receding-Horizon Games with Tullock-Based Profit Functions for Electric Ride-Hailing Markets
by: Maljkovic, Marko, et al.
Published: (2024)