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- research-articleJuly 2024
Graph learning with label attention and hyperbolic embedding for temporal event prediction in healthcare
AbstractThe digitization of healthcare systems has led to the proliferation of electronic health records (EHRs), serving as comprehensive repositories of patient information. However, the vast volume and complexity of EHR data present challenges in ...
Highlights- Graph Learning with Label Attention (GLLA), leveraging GNNs to predict EHR events.
- Introduced the Label Attention and Attention-based Transformer (LAAT) for EHRs.
- Conducted a comprehensive evaluation using the MIMIC III dataset.
- research-articleJuly 2024
A new distance measure between two basic probability assignments based on penalty coefficient
Information Sciences: an International Journal (ISCI), Volume 677, Issue CAug 2024https://doi.org/10.1016/j.ins.2024.120883AbstractUncertainty information processing is a challenging topic in information science. Dempster-Shafer evidence theory shows excellent performance when dealing with uncertainty in information representation, fusion, and processing. The measurement of ...
Highlights- A distance measurements between BPAs is proposed.
- The proposed method is based on the penalty coefficient.
- The proposed method considers the correlation between events.
- research-articleJuly 2024JUST ACCEPTED
RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation
Acquiring reviewers for academic submissions is a challenging recommendation scenario. Recent graph learning-driven models have made remarkable progress in the field of recommendation, but their performance in the academic reviewer recommendation task may ...
- articleJuly 2024
Cloud IoT-Oriented Secure College Physical Education Teaching Platform Vased on Deep Learning
International Journal of Swarm Intelligence Research (IJSIR-IGI), Volume 15, Issue 1Jul 2024, Pages 1–21https://doi.org/10.4018/IJSIR.349216In physical education (PE) teaching, the teaching platform is comprehensively applied to provide students with high-quality PE teaching resources to meet their learning needs in different forms. A human motion trajectory detection method is proposed ...
- research-articleJuly 2024
Discovering common information in multi-view data
AbstractWe introduce an innovative and mathematically rigorous definition for computing common information from multi-view data, drawing inspiration from Gács-Körner common information in information theory. Leveraging this definition, we develop a novel ...
Highlights- We formulate a mathematically definition of common information for multiview data.
- We propose a multiview learning method that discerns common and unique information.
- Our method is scalable to data more than two view, supported by ...
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- research-articleJuly 2024
SAM-IE: SAM-based image enhancement for facilitating medical image diagnosis with segmentation foundation model
Expert Systems with Applications: An International Journal (EXWA), Volume 249, Issue PCSep 2024https://doi.org/10.1016/j.eswa.2024.123795AbstractThe Segment Anything Model (SAM) is a large-scale model developed for general segmentation tasks in computer vision. Trained on a substantial dataset, SAM can accurately segment various objects in natural scene images. However, due to significant ...
- research-articleJuly 2024
Graph Signal Diffusion Model for Collaborative Filtering
SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information RetrievalJuly 2024, Pages 1380–1390https://doi.org/10.1145/3626772.3657759Collaborative filtering is a critical technique in recommender systems. It has been increasingly viewed as a conditional generative task for user feedback data, where newly developed diffusion model shows great potential. However, existing studies on ...
- research-articleJuly 2024
Nonlinear sufficient dimension reduction for distribution-on-distribution regression
Journal of Multivariate Analysis (JMUL), Volume 202, Issue CJul 2024https://doi.org/10.1016/j.jmva.2024.105302AbstractWe introduce a new approach to nonlinear sufficient dimension reduction in cases where both the predictor and the response are distributional data, modeled as members of a metric space. Our key step is to build universal kernels (cc-universal) on ...
- ArticleJune 2024
Navigating the Generation Z Wave: Transforming Digital Assistants into Dream Companions with a Touch of Luxury, Hedonism, and Excitement
- Weizhu Pan,
- Yunxuan Xing,
- Siwen Ge,
- Lubing He,
- Zhuoyi Sha,
- Ziwen Chen,
- Chengka Wong,
- Wenyuan Jiang,
- Yang Li,
- Xiaotian Ma,
- Guoxuan Xie,
- Yutong Zhai,
- Qi Zhang,
- Yiyang Liu,
- Ruilu Yu,
- Bowen Li,
- Ruonan Huang,
- Mengmeng Xu,
- Yang Guo,
- Wei Liu
Design, User Experience, and UsabilityJun 2024, Pages 181–192https://doi.org/10.1007/978-3-031-61362-3_14AbstractIndividuals born between 1995 and 2009 are referred to as the Generation Z population, characterized by their pursuit of pleasure, innovation, and interaction. As the driving force behind automotive purchases in the next two to three decades, the ...
- research-articleJune 2024
A novel adaptive sampling strategy for the Kriging surrogate-based control co-design method in the dynamic system
Structural and Multidisciplinary Optimization (SPSMO), Volume 67, Issue 6Jun 2024https://doi.org/10.1007/s00158-024-03814-xAbstractWhen solving the physical-control collaborative optimization problem, referred to as control co-design (CCD) problem, in dynamic system, it is inevitable to encounter the simulation model with computationally expensive state equation, leading to ...
- research-articleMay 2024
OneSparse: A Unified System for Multi-index Vector Search
- Yaoqi Chen,
- Ruicheng Zheng,
- Qi Chen,
- Shuotao Xu,
- Qianxi Zhang,
- Xue Wu,
- Weihao Han,
- Hua Yuan,
- Mingqin Li,
- Yujing Wang,
- Jason Li,
- Fan Yang,
- Hao Sun,
- Weiwei Deng,
- Feng Sun,
- Qi Zhang,
- Mao Yang
WWW '24: Companion Proceedings of the ACM on Web Conference 2024May 2024, Pages 393–402https://doi.org/10.1145/3589335.3648338Multi-index vector search has become the cornerstone for many applications, such as recommendation systems. Efficient search in such a multi-modal hybrid vector space is challenging since no single index design performs well for all kinds of vector data. ...
SatGuard: Concealing Endless and Bursty Packet Losses in LEO Satellite Networks for Delay-Sensitive Web Applications
WWW '24: Proceedings of the ACM on Web Conference 2024May 2024, Pages 3053–3063https://doi.org/10.1145/3589334.3645639Delay-sensitive Web services are crucial applications in emerging low-earth orbit (LEO) satellite networks (LSNs). However, our real-world measurement study based on SpaceX's Starlink, the most widely used commercial LSN today, reveals that the endless ...
MSynFD: Multi-hop Syntax Aware Fake News Detection
WWW '24: Proceedings of the ACM on Web Conference 2024May 2024, Pages 4128–4137https://doi.org/10.1145/3589334.3645468The proliferation of social media platforms has fueled the rapid dissemination of fake news, posing threats to our real-life society. Existing methods use multimodal data or contextual information to enhance the detection of fake news by analyzing news ...
- research-articleJuly 2024
Promoting electric vehicle adoption in ride-hailing platforms: To control or subsidize?
Computers and Industrial Engineering (CINE), Volume 191, Issue CMay 2024https://doi.org/10.1016/j.cie.2024.110146Highlights- We study the policy choice for promoting the adoption of electric vehicles in ride-hailing platform.
- Control policy and subsidy policy are considered.
- We obtain optimal decisions of government and ride-hailing platform.
- We ...
To promote ride-hailing platforms’ adoption of electric vehicles (EVs), two primary policies (i.e., control policy and subsidy policy) have been implemented by different governments in the real world. Which policy is more appropriate for the ...
- research-articleJuly 2024
WaTrojan: Wavelet domain trigger injection for backdoor attacks
Computers and Security (CSEC), Volume 140, Issue CMay 2024https://doi.org/10.1016/j.cose.2024.103767AbstractBackdoor attacks have been proven to pose effective threats to deep neural networks in various domains, such as biometrics, authentication, and autonomous driving. Attackers compromise the integrity of the model, causing it to behave normally on ...
- research-articleJune 2024
Latent Linear Discriminant Analysis for feature extraction via Isometric Structural Learning
AbstractLinear discriminant analysis (LDA) is one of the most successful feature extraction methods, which projects high-dimensional data to a low-dimensional space with discriminative features. However, there are problems in the existing LDAs: (1) the ...
Highlights- We proposed Latent LDA with Isometric Structural Learning for feature extraction.
- We propose isometric structural learning for capturing the intrinsic local structure.
- We also captured discriminative global structure in proposed ...
- research-articleMay 2024
An efficient latent map multi-fidelity Kriging model and adaptive point-selected strategy for reliability analysis with time-consuming simulations
Structural and Multidisciplinary Optimization (SPSMO), Volume 67, Issue 5May 2024https://doi.org/10.1007/s00158-024-03765-3AbstractReliability analysis can be particularly challenging when performance functions require time-consuming simulations. Such simulations often involve multiple fidelity sources. This paper aims to enhance the efficiency of reliability analysis by ...
- research-articleApril 2024
Deep Coupling Network for Multivariate Time Series Forecasting
ACM Transactions on Information Systems (TOIS), Volume 42, Issue 5Article No.: 127, Pages 1–28https://doi.org/10.1145/3653447Multivariate time series (MTS) forecasting is crucial in many real-world applications. To achieve accurate MTS forecasting, it is essential to simultaneously consider both intra- and inter-series relationships among time series data. However, previous ...
- surveyApril 2024
Efficient High-Resolution Deep Learning: A Survey
ACM Computing Surveys (CSUR), Volume 56, Issue 7Article No.: 181, Pages 1–35https://doi.org/10.1145/3645107Cameras in modern devices such as smartphones, satellites and medical equipment are capable of capturing very high resolution images and videos. Such high-resolution data often need to be processed by deep learning models for cancer detection, automated ...
- research-articleJune 2024
A unified embedding-based relation completion framework for knowledge graph
Knowledge-Based Systems (KNBS), Volume 289, Issue CApr 2024https://doi.org/10.1016/j.knosys.2024.111468AbstractThe relation completion for knowledge graph requires expanding and enriching a knowledge graph by predicting the missing relation in a given triple which has known head and tail entities. In this paper, we propose a unified embedding-based ...