activity
20182022
most citedA Survey of Data Fusion in Smart City Applications

278 citations · 286 across the 4 of their papers we have counts for

collaborators

8 papers

cs.LG2022

Clustering and Analysis of GPS Trajectory Data using Distance-based Features

Zann Koh, Yuren Zhou, Billy Pik Lik Lau +3

The proliferation of smartphones has accelerated mobility studies by largely increasing the type and volume of mobility data available. One such source of mobility data is from GPS…

cs.LG2021

WiFi Fingerprint Clustering for Urban Mobility Analysis

Sumudu HasalaMarakkalage, Billy Pik Lik Lau, Yuren Zhou +4

In this paper, we present an unsupervised learning approach to identify the user points of interest (POI) by exploiting WiFi measurements from smartphone application data. Due to t…

cs.LG20208 cited

Multiple-Perspective Clustering of Passive Wi-Fi Sensing Trajectory Data

Zann Koh, Yuren Zhou, Billy Pik Lik Lau +3

Information about the spatiotemporal flow of humans within an urban context has a wide plethora of applications. Currently, although there are many different approaches to collect…

stat.ML2020

Stochastic Recursive Momentum for Policy Gradient Methods

Huizhuo Yuan, Xiangru Lian, Ji Liu +1

In this paper, we propose a novel algorithm named STOchastic Recursive Momentum for Policy Gradient (STORM-PG), which operates a SARAH-type stochastic recursive variance-reduced po…

cs.SI2020

Understanding Crowd Behaviors in a Social Event by Passive WiFi Sensing and Data Mining

Yuren Zhou, Billy Pik Lik Lau, Zann Koh +2

Understanding crowd behaviors in a large social event is crucial for event management. Passive WiFi sensing, by collecting WiFi probe requests sent from mobile devices, provides a…

eess.SY2019

Benchmarking air-conditioning energy performance of residential rooms based on regression and clustering techniques

Yuren Zhou, Clement Lork, Wen-Tai Li +2

Air conditioning (AC) accounts for a critical portion of the global energy consumption. To improve its energy performance, it is important to fairly benchmark its energy performanc…