Exploring Context Generalizability in Citywide Crowd Mobility Prediction: An Analytic Framework and Benchmark
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Liyue, Wang, Xiaoxiang, Wang, Leye |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
STContext: A Multifaceted Dataset for Developing Context-aware Spatio-temporal Crowd Mobility Prediction Models
by: Chen, Liyue, et al.
Published: (2025)
by: Chen, Liyue, et al.
Published: (2025)
A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units
by: Chen, Liyue, et al.
Published: (2024)
by: Chen, Liyue, et al.
Published: (2024)
Efficient User Sequence Learning for Online Services via Compressed Graph Neural Networks
by: Wu, Yucheng, et al.
Published: (2024)
by: Wu, Yucheng, et al.
Published: (2024)
Forgetting Any Data at Any Time: A Theoretically Certified Unlearning Framework for Vertical Federated Learning
by: Wang, Linian, et al.
Published: (2025)
by: Wang, Linian, et al.
Published: (2025)
CrowdHMTware: A Cross-level Co-adaptation Middleware for Context-aware Mobile DL Deployment
by: Liu, Sicong, et al.
Published: (2025)
by: Liu, Sicong, et al.
Published: (2025)
Graph In-Context Operator Networks for Generalizable Spatiotemporal Prediction
by: Wu, Chenghan, et al.
Published: (2026)
by: Wu, Chenghan, et al.
Published: (2026)
Data Valuation for Vertical Federated Learning: A Model-free and Privacy-preserving Method
by: Han, Xiao, et al.
Published: (2021)
by: Han, Xiao, et al.
Published: (2021)
Graph Contrastive Learning with Cohesive Subgraph Awareness
by: Wu, Yucheng, et al.
Published: (2024)
by: Wu, Yucheng, et al.
Published: (2024)
AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data
by: Tang, Jianheng, et al.
Published: (2025)
by: Tang, Jianheng, et al.
Published: (2025)
Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting
by: Shao, Chen, et al.
Published: (2025)
by: Shao, Chen, et al.
Published: (2025)
FedMABench: Benchmarking Mobile Agents on Decentralized Heterogeneous User Data
by: Wang, Wenhao, et al.
Published: (2025)
by: Wang, Wenhao, et al.
Published: (2025)
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability
by: Wang, Pengyun, et al.
Published: (2024)
by: Wang, Pengyun, et al.
Published: (2024)
REMIND: Rethinking Medical High-Modality Learning under Missingness--A Long-Tailed Distribution Perspective
by: Wu, Chenwei, et al.
Published: (2026)
by: Wu, Chenwei, et al.
Published: (2026)
Benchmarking General-Purpose In-Context Learning
by: Wang, Fan, et al.
Published: (2024)
by: Wang, Fan, et al.
Published: (2024)
Efficient Cross-Architecture Knowledge Transfer for Large-Scale Online User Response Prediction
by: Wu, Yucheng, et al.
Published: (2026)
by: Wu, Yucheng, et al.
Published: (2026)
Disentangling Causal Substructures for Interpretable and Generalizable Drug Synergy Prediction
by: Luo, Yi, et al.
Published: (2025)
by: Luo, Yi, et al.
Published: (2025)
Economic span selection of bridge based on deep reinforcement learning
by: Zhang, Leye, et al.
Published: (2024)
by: Zhang, Leye, et al.
Published: (2024)
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
by: Liu, Yan, et al.
Published: (2024)
by: Liu, Yan, et al.
Published: (2024)
Mosaic Pruning: A Hierarchical Framework for Generalizable Pruning of Mixture-of-Experts Models
by: Hu, Wentao, et al.
Published: (2025)
by: Hu, Wentao, et al.
Published: (2025)
Long-Context Attention Benchmark: From Kernel Efficiency to Distributed Context Parallelism
by: Bu, Tao, et al.
Published: (2025)
by: Bu, Tao, et al.
Published: (2025)
Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical Care
by: Cheng, Yuxiao, et al.
Published: (2025)
by: Cheng, Yuxiao, 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)
by: He, Haoyu, et al.
Published: (2024)
Generalizable Trajectory Prediction via Inverse Reinforcement Learning with Mamba-Graph Architecture
by: Li, Wenyun, et al.
Published: (2025)
by: Li, Wenyun, et al.
Published: (2025)
Towards Generalizable Safety in Crowd Navigation via Conformal Uncertainty Handling
by: Yao, Jianpeng, et al.
Published: (2025)
by: Yao, Jianpeng, et al.
Published: (2025)
Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning
by: Zhang, Jifan, et al.
Published: (2024)
by: Zhang, Jifan, et al.
Published: (2024)
ACU: Analytic Continual Unlearning for Efficient and Exact Forgetting with Privacy Preservation
by: Tang, Jianheng, et al.
Published: (2025)
by: Tang, Jianheng, et al.
Published: (2025)
A Framework for Quantifying How Pre-Training and Context Benefit In-Context Learning
by: Song, Bingqing, et al.
Published: (2025)
by: Song, Bingqing, et al.
Published: (2025)
SynLeaF: A Dual-Stage Multimodal Fusion Framework for Synthetic Lethality Prediction Across Pan- and Single-Cancer Contexts
by: Xing, Zheming, et al.
Published: (2026)
by: Xing, Zheming, et al.
Published: (2026)
MELODI: Exploring Memory Compression for Long Contexts
by: Chen, Yinpeng, et al.
Published: (2024)
by: Chen, Yinpeng, et al.
Published: (2024)
MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures
by: Ni, Jinjie, et al.
Published: (2024)
by: Ni, Jinjie, et al.
Published: (2024)
Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models
by: Qu, Yun, et al.
Published: (2026)
by: Qu, Yun, et al.
Published: (2026)
Social Physics Informed Diffusion Model for Crowd Simulation
by: Chen, Hongyi, et al.
Published: (2024)
by: Chen, Hongyi, et al.
Published: (2024)
ELLMob: Event-Driven Human Mobility Generation with Self-Aligned LLM Framework
by: Wang, Yusong, et al.
Published: (2026)
by: Wang, Yusong, et al.
Published: (2026)
MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation
by: Xiao, Jing, et al.
Published: (2025)
by: Xiao, Jing, et al.
Published: (2025)
The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction
by: Li, Beibei
Published: (2025)
by: Li, Beibei
Published: (2025)
VitalBench: A Rigorous Multi-Center Benchmark for Long-Term Vital Sign Prediction in Intraoperative Care
by: Cai, Xiuding, et al.
Published: (2025)
by: Cai, Xiuding, et al.
Published: (2025)
Wisdom of the Silicon Crowd: LLM Ensemble Prediction Capabilities Rival Human Crowd Accuracy
by: Schoenegger, Philipp, et al.
Published: (2024)
by: Schoenegger, Philipp, et al.
Published: (2024)
MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts
by: Zhu, Jie, et al.
Published: (2024)
by: Zhu, Jie, et al.
Published: (2024)
CycloneMAE: A Scalable Multi-Task Learning Model for Global Tropical Cyclone Probabilistic Forecasting
by: Hang, Renlong, et al.
Published: (2026)
by: Hang, Renlong, et al.
Published: (2026)
CRIA: A Cross-View Interaction and Instance-Adapted Pre-training Framework for Generalizable EEG Representations
by: Liu, Puchun, et al.
Published: (2025)
by: Liu, Puchun, et al.
Published: (2025)
Similar Items
-
STContext: A Multifaceted Dataset for Developing Context-aware Spatio-temporal Crowd Mobility Prediction Models
by: Chen, Liyue, et al.
Published: (2025) -
A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units
by: Chen, Liyue, et al.
Published: (2024) -
Efficient User Sequence Learning for Online Services via Compressed Graph Neural Networks
by: Wu, Yucheng, et al.
Published: (2024) -
Forgetting Any Data at Any Time: A Theoretically Certified Unlearning Framework for Vertical Federated Learning
by: Wang, Linian, et al.
Published: (2025) -
CrowdHMTware: A Cross-level Co-adaptation Middleware for Context-aware Mobile DL Deployment
by: Liu, Sicong, et al.
Published: (2025)