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- research-articleJuly 2024
Social contagions on higher-order community networks
Applied Mathematics and Computation (APMC), Volume 478, Issue COct 2024https://doi.org/10.1016/j.amc.2024.128832AbstractExtensive real-world analysis has revealed that wide community structures and higher-order interactions can be captured by the higher-order community networks. However, the roles of the higher-order community networks in shaping social contagions ...
Highlights- A systemic theoretical study on the effects of the higher-order community network on social contagions.
- Dimension-reduction approach on higher-order community networks simplifies contagion analysis.
- The higher-order structural ...
- research-articleJuly 2024
Label-aware Dual-view Graph Neural Network for Protein-Protein Interaction Classification
Expert Systems with Applications: An International Journal (EXWA), Volume 247, Issue CAug 2024https://doi.org/10.1016/j.eswa.2024.123216AbstractProtein-protein interaction (PPI) plays an important role in various biological processes of organisms, and is beneficial for the development of relevant drugs, the diagnosis of diseases, etc. On this account, an increasing number of studies on ...
Highlights- Propose to learn PPI representations jointly from both topology and consensus views.
- Introduce label signal to guide the learning process of PPI representations.
- Enforce a constraint to maintain consistency between topology and ...
- short-paperJune 2024
WiP: A Solution for Reducing MLLM-Based Agent Interaction Overhead
EdgeFM '24: Proceedings of the Workshop on Edge and Mobile Foundation ModelsJune 2024, Pages 16–17https://doi.org/10.1145/3662006.3662062Current Multi-modal LLM-based mobile agents are associated with concerns over high inference time and cost. We propose to tackle these issues by developing a lightweight UI Transition Graph (UTG) and locally executing automatic tasks. Specifically, we ...
- research-articleJuly 2024
Meta graph network recommendation based on multi-behavior encoding
Journal of King Saud University - Computer and Information Sciences (JKSUCIS), Volume 36, Issue 5Jun 2024https://doi.org/10.1016/j.jksuci.2024.102050AbstractAs traditional recommendation systems ignore the hidden information among different user behaviors (such as clicks, add-to-favorites, add-to-cart, and purchases), this often leads to low accuracy in recommendation results. We propose a meta-graph ...
- research-articleJuly 2024
Semi-supervised community detection method based on generative adversarial networks
Journal of King Saud University - Computer and Information Sciences (JKSUCIS), Volume 36, Issue 3Mar 2024https://doi.org/10.1016/j.jksuci.2024.102008AbstractCommunity detection in complex networks often suffers from insufficient data and limited utilization of prior knowledge. In this paper we propose “Semi-supervised Generative Adversarial Network” (GANSE), a novel algorithm that integrates ...
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- research-articleJune 2024
Remote sensing detection and mapping of plastic greenhouses based on YOLOX+: A case study in Weifang, China
Computers and Electronics in Agriculture (COEA), Volume 218, Issue CMar 2024https://doi.org/10.1016/j.compag.2024.108702Highlights- A high-precision object detection framework was proposed for the simultaneous extraction of dense PG quantities and areas.
- Introducing a new angle detection head to detect bounding box angles and a bias sampler to train the network ...
Plastic greenhouses (PGs) can provide suitable growth environments for crops, which has led to their extensive use in agricultural production. To estimate crop yields and prevent agricultural pollution, a strategy is required for the quick and ...
- research-articleFebruary 2024
Improve label embedding quality through global sensitive GAT for hierarchical text classification
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFMar 2024https://doi.org/10.1016/j.eswa.2023.122267AbstractHierarchical text classification aims to assign text to multiple labels in a label set stored in a tree structure. The current algorithms mainly introduce the priori information of the label hierarchy, but the implicit correlation between labels ...
- research-articleFebruary 2024
Dynamic datasets and market environments for financial reinforcement learning
- Xiao-Yang Liu,
- Ziyi Xia,
- Hongyang Yang,
- Jiechao Gao,
- Daochen Zha,
- Ming Zhu,
- Christina Dan Wang,
- Zhaoran Wang,
- Jian Guo
Machine Language (MALE), Volume 113, Issue 5May 2024, Pages 2795–2839https://doi.org/10.1007/s10994-023-06511-wAbstractThe financial market is a particularly challenging playground for deep reinforcement learning due to its unique feature of dynamic datasets. Building high-quality market environments for training financial reinforcement learning (FinRL) agents is ...
- research-articleApril 2024
Event-triggered impulsive cluster synchronization of coupled reaction–diffusion neural networks and its application to image encryption
Neural Networks (NENE), Volume 170, Issue CFeb 2024, Pages 46–54https://doi.org/10.1016/j.neunet.2023.11.022AbstractThis paper investigates the cluster synchronization of coupled neural networks with reaction–diffusion terms. With the help of impulsive control strategies, some cluster synchronization criteria are proposed by an appropriate event-triggered ...
- research-articleApril 2024
A deep multiple-instance text binary classification for topic relevant content extraction on social media
Journal of King Saud University - Computer and Information Sciences (JKSUCIS), Volume 36, Issue 1Jan 2024https://doi.org/10.1016/j.jksuci.2023.101883AbstractSocial media platforms have rich text data, which can be used in data mining and analysis. However, given the fact, the evolution speed of natural languages is rapid in social media, and data on social media is very noisy. This is a great ...
- research-articleDecember 2023
H∞ bumpless transfer control of switched systems with time‐varying delays
Asian Journal of Control (ASJC), Volume 26, Issue 4July 2024, Pages 1797–1807https://doi.org/10.1002/asjc.3298AbstractThis paper investigates the H∞$$ {H}_{\infty } $$ bumpless transfer control (HBTC) problem of switched systems with time‐varying delays. A novel smooth switching state feedback controller is designed to eliminate the bumps existing in the ...
- research-articleMay 2024
Classical simulation of quantum circuits using reinforcement learning: parallel environments and benchmark
NIPS '23: Proceedings of the 37th International Conference on Neural Information Processing SystemsDecember 2023, Article No.: 2931, Pages 67082–67102Google's "quantum supremacy" announcement [3] has received broad questions from academia and industry due to the debatable estimate of 10,000 years' running time for the classical simulation task on the Summit supercomputer. Has "quantum supremacy" ...
- research-articleMarch 2024
A cascade information diffusion prediction model integrating topic features and cross-attention
Journal of King Saud University - Computer and Information Sciences (JKSUCIS), Volume 35, Issue 10Dec 2023https://doi.org/10.1016/j.jksuci.2023.101852AbstractInformation cascade prediction is a crucial task in social network analysis. However, previous research has only focused on the impact of social relationships on cascade information diffusion, while ignoring the differences caused by the ...
- research-articleNovember 2023
Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models
ICAIF '23: Proceedings of the Fourth ACM International Conference on AI in FinanceNovember 2023, Pages 349–356https://doi.org/10.1145/3604237.3626866Financial sentiment analysis is critical for valuation and investment decision-making. Traditional NLP models, however, are limited by their parameter size and the scope of their training datasets, which hampers their generalization capabilities and ...
- research-articleSeptember 2023
Online influence maximization under continuous independent cascade model with node-edge-level feedback
Knowledge and Information Systems (KAIS), Volume 66, Issue 2Feb 2024, Pages 1091–1110https://doi.org/10.1007/s10115-023-01982-8AbstractWe study the online influence maximization problem in social networks. We concentrate on solving two challenges in this paper. First, we work with continuousindependentcascademodel instead of independentcascademodel. In the independent cascade ...
- research-articleSeptember 2023
Event-Based Global Exponential Synchronization for Quaternion-Valued Fuzzy Memristor Neural Networks With Time-Varying Delays
IEEE Transactions on Fuzzy Systems (TOFS), Volume 32, Issue 3March 2024, Pages 989–999https://doi.org/10.1109/TFUZZ.2023.3317031As quaternion-valued memristor neural networks (MNNs) have important applications in many engineering fields and the information in the real world is often uncertain and inaccurate, therefore, in order to better apply to practice, it is necessary to study ...
- ArticleSeptember 2023
Future Augmentation with Self-distillation in Recommendation
- Chong Liu,
- Ruobing Xie,
- Xiaoyang Liu,
- Pinzheng Wang,
- Rongqin Zheng,
- Lixin Zhang,
- Juntao Li,
- Feng Xia,
- Leyu Lin
Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo TrackSep 2023, Pages 602–618https://doi.org/10.1007/978-3-031-43427-3_36AbstractSequential recommendation (SR) aims to provide appropriate items a user will click according to the user’s historical behavior sequence. Conventional SR models are trained under the next item prediction task, and thus should deal with two ...
- research-articleSeptember 2023
Consensus of nonlinear MAS via double nonidentical mode-dependent event-triggered switching control
Applied Mathematics and Computation (APMC), Volume 453, Issue CSep 2023https://doi.org/10.1016/j.amc.2023.128085Highlights- Nonidentical ETMs are designed for the MAS, where each node transmits sampled-data according to its own triggering condition. This control mechanisms have the advantages of both transmitting the information according to the actual needs of ...
This paper investigates the global exponential consensus almost surely (GEC a.s.) of nonlinear multi-agent system (MAS) with switching topology via double nonidentical mode-dependent event-triggering mechanisms (ETMs). Considering the activated ...
- research-articleSeptember 2023
An adversarial training method for text classification
Journal of King Saud University - Computer and Information Sciences (JKSUCIS), Volume 35, Issue 8Sep 2023https://doi.org/10.1016/j.jksuci.2023.101697AbstractText classification is an emerging topic in the field of text data mining, but the current methods of deducing sentence polarity have two major shortcomings: on the one hand, there is currently a lack of a large and well-curated corpus; on the ...
- research-articleSeptember 2023
A transfer learning strategy based on numerical simulation driving 1D Cycle-GAN for bearing fault diagnosis
Information Sciences: an International Journal (ISCI), Volume 642, Issue CSep 2023https://doi.org/10.1016/j.ins.2023.119175AbstractMost transfer learning (TL) models generally need the fault data from similar scenarios to achieve cross-domain bearing fault diagnosis. However, due to the bearings are mostly in normal state and the fault experiment cost is high, it ...