Search Results - "Liu, Tongcun"

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  1. 1

    Content-Aware Few-Shot Meta-Learning for Cold-Start Recommendation on Portable Sensing Devices by Lv, Xiaomin, Fang, Kai, Liu, Tongcun

    Published in Sensors (Basel, Switzerland) (26-08-2024)
    “…The cold-start problem in sequence recommendations presents a critical and challenging issue for portable sensing devices. Existing content-aware approaches…”
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  2. 2

    Exploiting geographical-temporal awareness attention for next point-of-interest recommendation by Liu, Tongcun, Liao, Jianxin, Wu, Zhigen, Wang, Yulong, Wang, Jingyu

    Published in Neurocomputing (Amsterdam) (04-08-2020)
    “…With the prosperity of the location-based social networks, next point-of-interest (POI) recommendation has become an increasingly significant requirement since…”
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  3. 3

    Exploiting local spatio-temporal characteristics for effective video understanding by Liu, Tongcun, Liu, Haoxin, Wang, Yulong

    Published in Multimedia tools and applications (01-09-2021)
    “…The explosive growth in online video streaming presents challenges for video understanding with high accuracy and low computation complexity. Recent methods…”
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  4. 4

    DapBCH: a disease association prediction model Based on Cross-species and Heterogeneous graph embedding by Shi, Wanqi, Feng, Hailin, Li, Jian, Liu, Tongcun, Liu, Zhe

    Published in Frontiers in genetics (22-09-2023)
    “…The study of comorbidity can provide new insights into the pathogenesis of the disease and has important economic significance in the clinical evaluation of…”
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  5. 5

    Perceived stress, social support, and insomnia in hemodialysis patients and their family caregivers: an actor-partner interdependence mediation model analysis by Tao, Yuxiu, Liu, Tongcun, Zhuang, Kaipeng, Fan, Lijuan, Hua, Yan, Ni, Chunping

    Published in Frontiers in psychology (29-06-2023)
    “…Patients' and caregivers' physical and mental health may interact. The theory of dyadic illness management holds that patients and caregivers should be…”
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  6. 6

    An integrated model based on deep multimodal and rank learning for point-of-interest recommendation by Liao, Jianxin, Liu, Tongcun, Yin, Hongzhi, Chen, Tong, Wang, Jingyu, Wang, Yulong

    Published in World wide web (Bussum) (01-03-2021)
    “…Modeling point-of-Interest (POI) for recommendations is vital in location-based social networks, yet it is a challenging task due to data sparsity and…”
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  7. 7

    Multi-Context Integrated Deep Neural Network Model for Next Location Prediction by Liao, Jianxin, Liu, Tongcun, Liu, Meilian, Wang, Jingyu, Wang, Yulong, Sun, Haifeng

    Published in IEEE access (01-01-2018)
    “…The prediction of next location for users in location-based social networks has become an increasing significant requirement since it can benefit both users…”
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  8. 8
  9. 9

    Dynamic and Static Representation Learning Network for Recommendation by Liu, Tongcun, Lou, Siyuan, Liao, Jianxin, Feng, Hailin

    “…Existing review-based recommendation methods learn a latent representation of user and item from user-generated reviews by a static strategy, which are unable…”
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  10. 10

    Effects of perceived stress, self-acceptance and social support on insomnia in hemodialysis patients: A cross-sectional study by Tao, Yuxiu, Zhuang, Kaipeng, Liu, Tongcun, Li, Hua, Feng, Xia

    Published in Journal of psychosomatic research (01-09-2023)
    “…The aim of this study was to explore the influence of perceived stress, self-acceptance and social support on insomnia among hemodialysis patients in China. A…”
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  11. 11

    Effects of a temporal self-regulation theory-based intervention on self-management in hemodialysis patients: A randomized controlled trial by Tao, Yuxiu, Liu, Tongcun, Hua, Yan, Lv, Aili, Ni, Chunping

    Published in Patient education and counseling (01-02-2024)
    “…To investigate the effects of a temporal self-regulation theory-based intervention on self-management in hemodialysis patients. A randomized controlled trial…”
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  12. 12

    Spatiotemporal-aware machine learning approaches for dissolved oxygen prediction in coastal waters by Liang, Wenzhao, Liu, Tongchu, Wang, Yuntao, Jiao, Jiu Jimmy, Gan, Jianping, He, Ding

    Published in The Science of the total environment (20-12-2023)
    “…Coastal waters face increasing threats from hypoxia, which can have severe consequences for marine life and fisheries. This study aims to develop a machine…”
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  13. 13

    Fast–slow visual network for action recognition in videos by Hu, Heng, Liu, Tongcun, Feng, Hailin

    Published in Multimedia tools and applications (01-07-2022)
    “…The visual speed, as important visual information on videos, has the ability to enhance the performance of video action recognition. Modeling the visual speed…”
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  14. 14

    Prediction of Potential miRNA-Disease Associations Based on a Masked Graph Autoencoder by Ke, Chenchen, Feng, Hailin, Zou, Quan, Zhu, Zhechen, Liu, Tongcun

    “…Biomedical evidence has demonstrated the relevance of microRNA (miRNA) dysregulation in complex human diseases, and determining the relationship between miRNAs…”
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  15. 15

    Unraveling the Linkages between Molecular Abundance and Stable Carbon Isotope Ratio in Dissolved Organic Matter Using Machine Learning by Yi, Yuanbi, Liu, Tongcun, Merder, Julian, He, Chen, Bao, Hongyan, Li, Penghui, Li, Siliang, Shi, Quan, He, Ding

    Published in Environmental science & technology (21-11-2023)
    “…Dissolved organic matter (DOM) is a complex mixture of molecules that constitutes one of the largest reservoirs of organic matter on Earth. While stable carbon…”
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  16. 16

    Self‐management experiences of haemodialysis patients with self‐regulatory fatigue: A phenomenological study by Tao, Yuxiu, Liu, Tongcun, Li, Ping, Lv, Aili, Zhuang, Kaipeng, Ni, Chunping

    Published in Journal of advanced nursing (01-06-2023)
    “…Aim To understand the real experiences of self‐management in haemodialysis patients with self‐regulatory fatigue, and to explore the influencing factors and…”
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  17. 17

    Matrix reconstruction with reliable neighbors for predicting potential MiRNA–disease associations by Feng, Hailin, Jin, Dongdong, Li, Jian, Li, Yane, Zou, Quan, Liu, Tongcun

    Published in Briefings in bioinformatics (19-01-2023)
    “…Abstract Numerous experimental studies have indicated that alteration and dysregulation in mircroRNAs (miRNAs) are associated with serious diseases…”
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  18. 18

    Semantic-enhanced Contrastive Learning for Session-based Recommendation by Liu, Zhicheng, Wang, Yulong, Liu, Tongcun, Zhang, Lei, Li, Wei, Liao, Jianxin, He, Ding

    Published in Knowledge-based systems (25-11-2023)
    “…Session-based recommendation aims to predict the next clicked item based on the short-term behavior sequence of an anonymous user, which is a challenging task…”
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  19. 19

    Multi-Source Fusion Enhanced Power-Efficient Sustainable Computing for Air Quality Monitoring by Cai, Jijing, Liu, Tongcun, Wang, Tingting, Feng, Hailin, Fang, Kai, Bashir, Ali Kashif, Wang, Wei

    Published in IEEE internet of things journal (05-07-2024)
    “…Given the severity of air pollution, air quality monitoring has become a crucial aspect of Artificial Intelligence of Things (AIoT) applications, providing…”
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  20. 20

    Prediction of disease-linked miRNAs based on SODNMF-DM by Yang, Bingsheng, Li, Jian, Ji, Zhiwei, Ruan, Yaoping, Liu, Tongcun, Feng, Hailin

    Published in Biomedical signal processing and control (01-05-2023)
    “…MicroRNAs (miRNAs) play a crucial role in the life processes of organisms and affect the occurrence of many complex human diseases. Discovering potential links…”
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