89 citations · 252 across the 18 of their papers we have counts for
6 papers · 1 filter
A New Many-Objective Evolutionary Algorithm Based on Determinantal Point Processes
Peng Zhang, Jinlong Li, Tengfei Li +1
To handle different types of Many-Objective Optimization Problems (MaOPs), Many-Objective Evolutionary Algorithms (MaOEAs) need to simultaneously maintain convergence and populatio…
Multi-label Causal Variable Discovery: Learning Common Causal Variables and Label-specific Causal Variables
Xingyu Wu, Bingbing Jiang, Yan Zhong +1
Causal variables in Markov boundary (MB) have been widely applied in extensive single-label tasks. While few researches focus on the causal variable discovery in multi-label data d…
Unsupervised Change Detection in Satellite Images with Generative Adversarial Network
Caijun Ren, Xiangyu Wang, Jian Gao +1
Detecting changed regions in paired satellite images plays a key role in many remote sensing applications. The evolution of recent techniques could provide satellite images with ve…
Online Dynamic Network Embedding
Haiwei Huang, Jinlong Li, Huimin He +1
Network embedding is a very important method for network data. However, most of the algorithms can only deal with static networks. In this paper, we propose an algorithm Recurrent…
Probabilistic Classification Vector Machine for Multi-Class Classification
Shengfei Lyu, Xing Tian, Yang Li +2
The probabilistic classification vector machine (PCVM) synthesizes the advantages of both the support vector machine and the relevant vector machine, delivering a sparse Bayesian s…
Analysis of Evolutionary Algorithms on Fitness Function with Time-linkage Property
Weijie Zheng, Huanhuan Chen, Xin Yao
In real-world applications, many optimization problems have the time-linkage property, that is, the objective function value relies on the current solution as well as the historica…