scispace - formally typeset
J

Joseph Kee-Yin Ng

Researcher at Hong Kong Baptist University

Publications -  137
Citations -  1994

Joseph Kee-Yin Ng is an academic researcher from Hong Kong Baptist University. The author has contributed to research in topics: Mobile computing & Scheduling (computing). The author has an hindex of 23, co-authored 133 publications receiving 1736 citations. Previous affiliations of Joseph Kee-Yin Ng include Sun Yat-sen University & Baptist College of Health Sciences.

Papers
More filters
Journal ArticleDOI

Cooperative data scheduling in hybrid vehicular ad hoc networks: VANET as a software defined network

TL;DR: The proposed model and solution represent the first known vehicular ad hoc network (VANET) implementation of software defined network (SDN) concept and prove that CDS is NP-hard by constructing a polynomial-time reduction from the Maximum Weighted Independent Set (MWIS) problem.
Journal ArticleDOI

Location Estimation via Support Vector Regression

TL;DR: Using support vector regression, this work investigates the missing value location estimation problem by providing theoretical and empirical analysis on existing and novel kernels and shows promising performances, especially in terrains with local variations in environmental factors.
Journal ArticleDOI

CB-Planner: A bus line planning framework for customized bus systems

TL;DR: A heuristic solution framework that includes a grid-density based clustering method for discovering potential travel demands efficiently, a bus stop deployment algorithm to minimize the number of stops and walking distance, and dynamic programming based routing and timetabling algorithms for maximizing estimated profit is developed.
Journal ArticleDOI

Network-Coding-Assisted Data Dissemination via Cooperative Vehicle-to-Vehicle/-Infrastructure Communications

TL;DR: This paper designs a cache strategy that allows vehicles to retrieve their unrequested data items and proposes a network-coding-assisted scheduling algorithm to enable the hybrid of vehicle-to-vehicle (V2V) and vehicle- to-infrastructure ( V2I) communications and exploit their joint effects on providing efficient data services.