9 citations · 13 across the 4 of their papers we have counts for
4 papers
Feature Space Renormalization for Semi-supervised Learning
Jun Sun, Wancheng Zhang, Chao Zhou +3
Semi-supervised learning (SSL) has been proven to be a powerful method for leveraging unlabeled data to alleviate models'dependence on large labeled datasets. The common framework…
Analyzing and controlling diversity in quantum-behaved particle swarm optimization
Li-Wei Li, Jun Sun, Chao Li +3
This paper addresses the issues of controlling and analyzing the population diversity in quantum-behaved particle swarm optimization (QPSO), which is an optimization approach motiv…
Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning
Zhe Liu, Yun Li, Lina Yao +4
The task of Compositional Zero-Shot Learning (CZSL) is to recognize images of novel state-object compositions that are absent during the training stage. Previous methods of learnin…
Random Drift Particle Swarm Optimization
Jun Sun, Xiaojun Wu, Vasile Palade +2
The random drift particle swarm optimization (RDPSO) algorithm, inspired by the free electron model in metal conductors placed in an external electric field, is presented, systemat…