:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wu, Xinhua, He, Haoyu, Wang, Yanchao, Wang, Qi
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2406.02578
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility
by: He, Haoyu, et al.
Published: (2025)

Efficient Temporal Tokenization for Mobility Prediction with Large Language Models
by: He, Haoyu, et al.
Published: (2025)

ST-MoE-BERT: A Spatial-Temporal Mixture-of-Experts Framework for Long-Term Cross-City Mobility Prediction
by: He, Haoyu, et al.
Published: (2024)

MobiGPT: A Foundation Model for Mobile Wireless Networks
by: Qi, Xiaoqian, et al.
Published: (2025)

COLA: Cross-city Mobility Transformer for Human Trajectory Simulation
by: Wang, Yu, et al.
Published: (2024)

MobilityGPT: Enhanced Human Mobility Modeling with a GPT model
by: Haydari, Ammar, et al.
Published: (2024)

Popular LLMs Amplify Race and Gender Disparities in Human Mobility
by: Wu, Xinhua, et al.
Published: (2024)

UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science
by: Yang, Yazheng, et al.
Published: (2023)

A Universal Model for Human Mobility Prediction
by: Long, Qingyue, et al.
Published: (2024)

A Short Survey of Human Mobility Prediction in Epidemic Modeling from Transformers to LLMs
by: Mayemba, Christian N., et al.
Published: (2024)

ARMove: Learning to Predict Human Mobility through Agentic Reasoning
by: Wang, Chuyue, et al.
Published: (2026)

Using Text-Based Life Trajectories from Swedish Register Data to Predict Residential Mobility with Pretrained Transformers
by: Stark, Philipp, et al.
Published: (2025)

Learning Universal Human Mobility Patterns with a Foundation Model for Cross-domain Data Fusion
by: Ma, Haoxuan, et al.
Published: (2025)

Timeseries Foundation Models for Mobility: A Benchmark Comparison with Traditional and Deep Learning Models
by: Graser, Anita
Published: (2025)

Deep Activity Model: A Generative Approach for Human Mobility Pattern Synthesis
by: Liao, Xishun, et al.
Published: (2024)

Diffusion-Guided Pretraining for Brain Graph Foundation Models
by: Wei, Xinxu, et al.
Published: (2026)

Activity-aware Human Mobility Prediction with Hierarchical Graph Attention Recurrent Network
by: Tang, Yihong, et al.
Published: (2022)

Mobility-Aware Federated Learning: Multi-Armed Bandit Based Selection in Vehicular Network
by: Tu, Haoyu, et al.
Published: (2024)

EchoPT: A Pretrained Transformer Architecture that Predicts 2D In-Air Sonar Images for Mobile Robotics
by: Steckel, Jan, et al.
Published: (2024)

Mobility-Aware Cache Framework for Scalable LLM-Based Human Mobility Simulation
by: Yan, Hua, et al.
Published: (2026)

Uncertainty-aware Human Mobility Modeling and Anomaly Detection
by: Wen, Haomin, et al.
Published: (2024)

Location-Based Service (LBS) Data Quality Metrics and Effects on Mobility Inference
by: Wu, Xinhua, et al.
Published: (2024)

MELTing point: Mobile Evaluation of Language Transformers
by: Laskaridis, Stefanos, et al.
Published: (2024)

Pre-trained Transformer Uncovers Meaningful Patterns in Human Mobility Data
by: Najjar, Alameen
Published: (2024)

UniMove: A Unified Model for Multi-city Human Mobility Prediction
by: Han, Chonghua, et al.
Published: (2025)

GTG: Generalizable Trajectory Generation Model for Urban Mobility
by: Wang, Jingyuan, et al.
Published: (2025)

Pretraining a Foundation Model for Small-Molecule Natural Products
by: Ding, Yuheng, et al.
Published: (2025)

Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
by: Wang, Yu, et al.
Published: (2023)

MobileKernelBench: Can LLMs Write Efficient Kernels for Mobile Devices?
by: Zou, Xingze, et al.
Published: (2026)

MoveFM-R: Advancing Mobility Foundation Models via Language-driven Semantic Reasoning
by: Meng, Fanjin, et al.
Published: (2025)

ELLMob: Event-Driven Human Mobility Generation with Self-Aligned LLM Framework
by: Wang, Yusong, et al.
Published: (2026)

An Integrated Data Processing Framework for Pretraining Foundation Models
by: Sun, Yiding, et al.
Published: (2024)

Hierarchical Federated Learning for Social Network with Mobility
by: Chen, Zeyu, et al.
Published: (2025)

Transformers and Their Roles as Time Series Foundation Models
by: Wu, Dennis, et al.
Published: (2025)

Human-Computer Interaction and Human-AI Collaboration in Advanced Air Mobility: A Comprehensive Review
by: Sagirli, Fatma Yamac, et al.
Published: (2024)

M-STAR: Multi-Scale Spatiotemporal Autoregression for Human Mobility Modeling
by: Luo, Yuxiao, et al.
Published: (2025)

GSTM-HMU: Generative Spatio-Temporal Modeling for Human Mobility Understanding
by: Luo, Wenying, et al.
Published: (2025)

MobileRL: Online Agentic Reinforcement Learning for Mobile GUI Agents
by: Xu, Yifan, et al.
Published: (2025)

REPLAY: Modeling Time-Varying Temporal Regularities of Human Mobility for Location Prediction over Sparse Trajectories
by: Deng, Bangchao, et al.
Published: (2024)

Graph Network Modeling Techniques for Visualizing Human Mobility Patterns
by: Mitra, Sinjini, et al.
Published: (2025)