12 citations · 12 across the 12 of their papers we have counts for
7 papers · 1 filter
Realizing Space-oriented Control in Smart Buildings via Word Embeddings
Hangli Ge, Hiroaki Mori, Yasuhira Chiba +1
This paper presents a novel framework for implementing space-oriented control systems in smart buildings. In contrast to conventional device-oriented approaches, which often suffer…
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…
Simulation of Emergency Evacuation in Large Scale Metropolitan Railway Systems for Urban Resilience
Hangli Ge, Xiaojie Yang, Zipei Fan +2
This paper presents a simulation for traffic evacuation during railway disruptions to enhance urban resilience. The research focuses on large-scale railway networks and provides fl…
Origin-Destination Extraction from Large-Scale Route Search Records for Tourism Trend Analysis
Hangli Ge, Dizhi Huang, Xiaojie Yang +4
This paper presents a novel method for transforming large-scale historical expressway route search records into a three-dimensional (3D) Origin-Destination (OD) map, enabling data…
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…
A Traffic Evacuation Model for Enhancing Resilience During Railway Disruption
Hangli Ge, Xiaojie Yang, Jinyu Chen +2
This paper introduces a traffic evacuation model for railway disruptions to improve resilience. The research focuses on the problem of failure of several nodes or lines on the rail…
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…