An Efficient Federated Distillation Learning System for Multi-task Time Series Classification

no code implementations • 30 Dec 2021 • Huanlai Xing, Zhiwen Xiao, Rong Qu, Zonghai Zhu, Bowen Zhao

For each connected user, its student model's hidden layers' weights are uploaded to the EFDLS server periodically.

Knowledge Distillation Time Series +2

A Hybrid Pricing and Cutting Approach for the Multi-Shift Full Truckload Vehicle Routing Problem

no code implementations • 3 Dec 2020 • Ning Xue, Ruibin Bai, Rong Qu, Uwe Aickelin

This paper extends the previous work and presents a significantly more efficient approach by hybridising pricing and cutting strategies with metaheuristics (a variable neighbourhood search and a genetic algorithm).

A Survey of Deep Learning-based Object Detection

no code implementations • 11 Jul 2019 • Licheng Jiao, Fan Zhang, Fang Liu, Shuyuan Yang, Lingling Li, Zhixi Feng, Rong Qu

Object detection is one of the most important and challenging branches of computer vision, which has been widely applied in peoples life, such as monitoring security, autonomous driving and so on, with the purpose of locating instances of semantic objects of a certain class.

Autonomous Driving Object +2