activity
20192021
most citedA Vertical Federated Learning Method for Interpretable Scorecard and Its Application in Credit Scoring

14 citations · 14 across the 3 of their papers we have counts for

collaborators

5 papers

eess.SY2021

Flocking and Collision Avoidance for a Dynamic Squad of Fixed-Wing UAVs Using Deep Reinforcement Learning

Chao Yan, Xiaojia Xiang, Chang Wang +1

Developing the flocking behavior for a dynamic squad of fixed-wing UAVs is still a challenge due to kinematic complexity and environmental uncertainty. In this paper, we deal with…

cs.RO2020

Time-Efficient Mars Exploration of Simultaneous Coverage and Charging with Multiple Drones

Yuan Chang, Chao Yan, Xingyu Liu +4

This paper presents a time-efficient scheme for Mars exploration by the cooperation of multiple drones and a rover. To maximize effective coverage of the Mars surface in the long r…

cs.LG202014 cited

A Vertical Federated Learning Method for Interpretable Scorecard and Its Application in Credit Scoring

Fanglan Zheng, Erihe, Kun Li +2

With the success of big data and artificial intelligence in many fields, the applications of big data driven models are expected in financial risk management especially credit scor…

cs.LG2020

A Federated F-score Based Ensemble Model for Automatic Rule Extraction

Kun Li, Fanglan Zheng, Jiang Tian +1

In this manuscript, we propose a federated F-score based ensemble tree model for automatic rule extraction, namely Fed-FEARE. Under the premise of data privacy protection, Fed-FEAR…

cs.MA2019

Mission Oriented Miniature Fixed-wing UAV Swarms: A Multi-layered and Distributed Architecture

Zhihong Liu, Xiangke Wang, Lincheng Shen +6

UAV swarms have triggered wide concern due to their potential application values in recent years. While there are studies proposed in terms of the architecture design for UAV swarm…