Latent factor-based recommenders relying on extended stochastic gradient descent algorithms

…, D Wang, MC Zhou, H Yuan - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
High-dimensional and sparse (HiDS) matrices generated by recommender systems contain
rich knowledge regarding various desired patterns like users’ potential preferences and …

Temporal pattern-aware QoS prediction via biased non-negative latent factorization of tensors

X Luo, H Wu, H Yuan, MC Zhou - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Quality-of-service (QoS) data vary over time, making it vital to capture the temporal patterns
hidden in such dynamic data for predicting missing ones with high accuracy. However, …

Adjusting learning depth in nonnegative latent factorization of tensors for accurately modeling temporal patterns in dynamic QoS data

X Luo, M Chen, H Wu, Z Liu, H Yuan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
A nonnegative latent factorization of tensors (NLFT) model precisely represents the temporal
patterns hidden in multichannel data emerging from various applications. It often adopts a …

Topology selection for particle swarm optimization

Q Liu, W Wei, H Yuan, ZH Zhan, Y Li - Information Sciences, 2016 - Elsevier
Particle swarm optimization (PSO) uses a social topology for particles to share information
among neighbors during optimization. A large number of existing literatures have shown that …

A distributed swarm optimizer with adaptive communication for large-scale optimization

…, WN Chen, T Gu, H Zhang, H Yuan… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Large-scale optimization with high dimensionality and high computational cost becomes
ubiquitous nowadays. To tackle such challenging problems efficiently, devising distributed …

A distributed framework for large-scale protein-protein interaction data analysis and prediction using mapreduce

L Hu, S Yang, X Luo, H Yuan… - IEEE/CAA Journal of …, 2021 - ieeexplore.ieee.org
Protein-protein interactions are of great significance for human to understand the functional
mechanisms of proteins. With the rapid development of high-throughput genomic …

ACO-A*: Ant colony optimization plus A* for 3-D traveling in environments with dense obstacles

X Yu, WN Chen, T Gu, H Yuan… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Path planning is one of the most important problems in the development of autonomous
underwater vehicles (AUVs). In some common AUV missions, eg, wreckage search for rescue, …

A dynamic logistic dispatching system with set-based particle swarm optimization

…, WN Chen, T Gu, H Zhang, H Yuan… - … on Systems, Man …, 2017 - ieeexplore.ieee.org
With the rapid development of e-commerce, logistics industry becomes a crucial component
in the e-commercial ecological chain. Impelled by both economical and environmental …

Influence of an extrusion approach on the fiber orientation and mechanical properties of engineering cementitious composite

Z Ge, AM Tawfek, H Zhang, Y Yang, H Yuan… - … and Building Materials, 2021 - Elsevier
In this study, an extrusion approach was proposed to improve the fiber orientation degree in
engineering cementitious composite (ECC) during the casting process. The influence of the …

Influence of fiber orientation on the mechanical responses of engineering cementitious composite (ECC) under various loading conditions

AM Tawfek, Z Ge, H Yuan, N Zhang, H Zhang… - Journal of Building …, 2023 - Elsevier
The mechanical performance of engineered cementitious composite (ECC) depends greatly
on fiber orientation and distribution. In this paper, the effect of fiber orientation on ECC's …