12 citations · 12 across the 12 of their papers we have counts for
7 papers · 1 filter
Extending FAIR Principles with Observability for Trustworthy Federated Learning
Hangli Ge, Noboru Koshizuka
Federated learning (FL) keeps data at its source, but locality alone does not make a federation trustworthy. Without sufficient observability, an aggregator cannot determine whethe…
Anomaly Detection and Localization for the Pantograph-Catenary System
Francesco Vitale, Hangli Ge, Francesco Flammini
Monitoring the Pantograph-Catenary System (PCS) provides insight into the health conditions of the pantograph and the railway infrastructure. Recent industrial solutions trace the…
Place with Intention: An Empirical Attendance Predictive Study of Expo 2025 Osaka, Kansai, Japan
Xiaojie Yang, Dizhi Huang, Hangli Ge +4
Accurate forecasting of daily attendance is vital for managing transportation, crowd flows, and services at large-scale international events such as Expo 2025 Osaka, Kansai, Japan.…
Deep Unfolding for MIMO Signal Detection
Hangli Ge, Noboru Koshizuka
In this paper, we propose a deep unfolding neural network-based MIMO detector that incorporates complex-valued computations using Wirtinger calculus. The method, referred as Dynami…
Causality-Aware Next Location Prediction Framework based on Human Mobility Stratification
Xiaojie Yang, Zipei Fan, Hangli Ge +3
Human mobility data are fused with multiple travel patterns and hidden spatiotemporal patterns are extracted by integrating user, location, and time information to improve next loc…
CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events
Xiaojie Yang, Hangli Ge, Jiawei Wang +4
Large-scale human mobility exhibits spatial and temporal patterns that can assist policymakers in decision making. Although traditional prediction models attempt to capture these p…
Efficient Compressed Ratio Estimation Using Online Sequential Learning for Edge Computing
Hiroki Oikawa, Hangli Ge, Noboru Koshizuka
Owing to the widespread adoption of the Internet of Things, a vast amount of sensor information is being acquired in real time. Accordingly, the communication cost of data from edg…