JORA: Weakly supervised user identity linkage via jointly learning to represent and align

C Zheng, L Pan, P Wu - IEEE Transactions on Neural Networks …, 2022 - ieeexplore.ieee.org
The user identity linkage that establishes correspondence between users across networks is
a fundamental issue in various social network applications. Efforts have recently been …

Thyroid nodule ultrasound image classification through hybrid feature cropping network

R Song, L Zhang, C Zhu, J Liu, J Yang, T Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
With the increasing cases of thyroid malignant tumors, the diagnosis of thyroid nodule has
attracted more and more attention. Deep learning has achieved promising results in …

MAUIL: Multilevel attribute embedding for semisupervised user identity linkage

B Chen, X Chen - Information Sciences, 2022 - Elsevier
User identity linkage (UIL) across social networks has recently attracted an increasing
amount of attention due to its significant research challenges and practical value. Most of the …

Unsupervised user identity linkage via graph neural networks

F Zhou, Z Wen, T Zhong, G Trajcevski… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
User identity linkage (UIL) aims to link identical users engaging in multiple social networks. It
has received considerable attention in both academia and industry due to its profound …

Uncertainty‐aware network alignment

F Zhou, C Li, Z Wen, T Zhong… - … Journal of Intelligent …, 2021 - Wiley Online Library
Network alignment (NA) aims to link common nodes across multiple networks and is an
essential task in many graph mining applications. Despite the progress achieved by many …

Session stitching using sequence fingerprinting for web page visits

J De Smedt, E Lacka, S Nita, HH Kohls… - Decision Support Systems, 2021 - Elsevier
The nature of people's web navigation has significantly changed in recent years. The advent
of smartphones and other handheld devices has given rise to web users consulting websites …

Sinkhorn Distance Minimization for Adaptive Semi-Supervised Social Network Alignment

J Xu, C Li, F Huang, Z Li, X Xie… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Social network alignment, aiming at linking identical identities across different social
platforms, is a fundamental task in social graph mining. Most existing approaches are …

User Identification Across Multiple Social Networks Based on Naive Bayes Model

X Ding, H Zhang, C Ma, X Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recently, the problem of user identification across multiple social networks (UIAMSNs) has
attracted considerable attention since it is a prerequisite for many downstream tasks and …

Identifying Users across Social Media Networks for Interpretable Fine-grained Neighborhood Matching by Adaptive GAT

W Tang, H Sun, J Wang, C Liu, Q Qi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The primary concern of numerous online social media network (SMN) platforms is how to
provide users with effective and personalized web services. To achieve this goal, SMN …

Enhanced CRNN-Based Optimal Web Page Classification and Improved Tunicate Swarm Algorithm-Based Re-Ranking

SA Yasin, P Prasada Rao - International Journal of Uncertainty …, 2022 - World Scientific
The main intention of this paper is to develop a new intelligent framework for web page
classification and re-ranking. The two main phases of the proposed model are (a) …