10 papers
Lifts of symmetries to minimal nondegenerate extensions are unique up to fermion attachment
Ran Luo, Jiahua Tian
Gauging fermion parity in a -dimensional fermionic topological order requires lifting its symmetries to the resulting bosonic theory. We give a direct tensor-categorical pro…
Plan-to-Synthesis: Cross-City Human Mobility Generation via Semantic Latent Flow Matching
Zhoufu Wang, Baoshen Guo, Zhiqing Hong +6
Human mobility generation aims to synthesize realistic point-of-interest (POI) visitation trajectories and has become an important tool for travel behavior modeling, transportation…
Enhancing the Socioeconomic Understanding of Foundation Models with Urban Mobility
Baoshen Guo, Donghang Li, Zhiqing Hong +4
Foundation models have recently been applied to urban socioeconomic prediction using POI text, satellite imagery, and geospatial descriptions. However, these models mostly rely on…
GenHAR: Generalizing Cross-domain Human Activity Recognition for Last-mile Delivery
Zhiqing Hong, Zelong Li, Xiubin Fan +5
Human Activity Recognition (HAR) has shown remarkable effectiveness in various applications, such as smart healthcare and intelligent manufacturing. However, a major challenge face…
SENSE: Satellite-based ENergy Synthesis for Sustainable Environment
Kailai Sun, Mingyi He, Heye Huang +5
Urban Building Energy Modeling plays a critical role in achieving the United Nations' Sustainable Development Goals 7 and 11. Although existing studies based on satellite imagery a…
BenchHAR: Benchmarking Self-Supervised Learning for Generalizable Sensor-based Activity Recognition
Yize Cai, Rui Feng, Anlan Yu +2
Human Activity Recognition (HAR) from wearable sensors supports broad healthcare and behavior science applications. However, data heterogeneity and the scarcity of labeled data lim…
Wearable AI in the Era of Large Sensor Models
Yize Cai, Baoshen Guo, Guobin Shen +1
As an effective approach to understanding the human-centric physical world, Wearable Artificial Intelligence (AI), which leverages multimodal wearable sensors to understand human p…
Learning from Risk: LLM-Guided Generation of Safety-Critical Scenarios with Prior Knowledge
Yuhang Wang, Heye Huang, Zhenhua Xu +3
Autonomous driving faces critical challenges in rare long-tail events and complex multi-agent interactions, which are scarce in real-world data yet essential for robust safety vali…
Towards Generalizable Human Activity Recognition: A Survey
Yize Cai, Baoshen Guo, Flora Salim +1
As a critical component of Wearable AI, IMU-based Human Activity Recognition (HAR) has attracted increasing attention from both academia and industry in recent years. Although HAR…
Leveraging the Spatial Hierarchy: Coarse-to-fine Trajectory Generation via Cascaded Hybrid Diffusion
Baoshen Guo, Zhiqing Hong, Junyi Li +2
Urban mobility data has significant connections with economic growth and plays an essential role in various smart-city applications. However, due to privacy concerns and substantia…