89 citations · 252 across the 18 of their papers we have counts for
18 papers
Semi-supervised Learning with Missing Values Imputation
Buliao Huang, Yunhui Zhu, Muhammad Usman +1
Incomplete instances with various missing attributes in many real-world applications have brought challenges to the classification tasks. Missing values imputation methods are ofte…
Do Models Learn the Directionality of Relations? A New Evaluation: Relation Direction Recognition
Shengfei Lyu, Xingyu Wu, Jinlong Li +2
Deep neural networks such as BERT have made great progress in relation classification. Although they can achieve good performance, it is still a question of concern whether these m…
When Non-Elitism Meets Time-Linkage Problems
Weijie Zheng, Qiaozhi Zhang, Huanhuan Chen +1
Many real-world applications have the time-linkage property, and the only theoretical analysis is recently given by Zheng, et al. (TEVC 2021) on their proposed time-linkage OneMax…
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…