collaborators

11 papers

cs.CV2026

GaitFM: A Cross-Modal Foundation Model for Wearable Gait Assessment

Yize Cai, Zhiqing Hong

Gait assessment supports the diagnosis, monitoring, and prognosis of diverse movement-related conditions, such as neurological and musculoskeletal disorders. Recent advances in dee…

math.QA2026

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…

cs.SI2026

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…

cs.RO2026

Towards a Data Flywheel for Embodied Intelligence in Logistics

Anlan Yu, Zaishu Chen, Zhiqing Hong +1

Embodied intelligence is moving from laboratory demonstrations toward industrial deployment, with the logistics industry serving as a key application scenario. Learning-based polic…

cs.SI2026

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…

cs.CV2026

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…

cs.CV2026

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…

eess.SP2026

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…

eess.SY2025

Resource-Oriented Optimization of Electric Vehicle Systems: A Data-Driven Survey on Charging Infrastructure, Scheduling, and Fleet Management

Hai Wang, Baoshen Guo, Xiaolei Zhou +3

Driven by growing concerns over air quality and energy security, electric vehicles (EVs) has experienced rapid development and are reshaping global transportation systems and lifes…

eess.SP2025

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…

cs.SI2025

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…