6 citations · 6 across the 3 of their papers we have counts for
5 papers
Structural Graph Probing of Vision-Language Models
Haoyu He, Yue Zhuo, Yu Zheng +1
Vision-language models (VLMs) achieve strong multimodal performance, yet how computation is organized across populations of neurons remains poorly understood. In this work, we stud…
RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility
Haoyu He, Haozheng Luo, Yan Chen +1
Predicting human mobility is inherently challenging due to complex long-range dependencies and multi-scale periodic behaviors. To address this, we introduce RHYTHM (Reasoning with…
Efficient Temporal Tokenization for Mobility Prediction with Large Language Models
Haoyu He, Haozheng Luo, Yan Chen +1
We introduce RHYTHM (Reasoning with Hierarchical Temporal Tokenization for Human Mobility), a framework that leverages large language models (LLMs) as spatio-temporal predictors an…
ST-MoE-BERT: A Spatial-Temporal Mixture-of-Experts Framework for Long-Term Cross-City Mobility Prediction
Haoyu He, Haozheng Luo, Qi R. Wang
Predicting human mobility across multiple cities presents significant challenges due to the complex and diverse spatial-temporal dynamics inherent in different urban environments.…
Pretrained Mobility Transformer: A Foundation Model for Human Mobility
Xinhua Wu, Haoyu He, Yanchao Wang +1
Ubiquitous mobile devices are generating vast amounts of location-based service data that reveal how individuals navigate and utilize urban spaces in detail. In this study, we util…