Search Results - "Chengzhe, Yuan"

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  1. 1

    Incorporating word attention with convolutional neural networks for abstractive summarization by Yuan, Chengzhe, Bao, Zhifeng, Sanderson, Mark, Tang, Yong

    Published in World wide web (Bussum) (2020)
    “…Neural sequence-to-sequence (seq2seq) models have been widely used in abstractive summarization tasks. One of the challenges of this task is redundant contents…”
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    Journal Article
  2. 2

    Graph Embedding for Scholar Recommendation in Academic Social Networks by Yuan, Chengzhe, He, Yi, Lin, Ronghua, Tang, Yong

    Published in Frontiers in physics (29-11-2021)
    “…The academic social networks (ASNs) play an important role in promoting scientific collaboration and innovation in academic society. Accompanying the…”
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    Journal Article
  3. 3

    Revealing the most and the least successful behaviours using two-phase clustering analysis by Akram, Aftab, Chengzhou, Fu, Lin, Ronghua, Arooj, Ansif, Chengzhe, Yuan, Yuncheng, Jiang, Yong, Tang

    Published in Technology, pedagogy and education (27-05-2021)
    “…Students using a Learning Management System (LMS) as a learning support have been observed to demonstrate different learning behaviours. Studies have reported…”
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    Journal Article
  4. 4

    NDUFS4 promotes tumor progression and predicts prognosis in gastric cancer by Cheng, Tong, Jiang, Boxuan, Xu, Manyu, Yuan, Chengzhe, Tai, Mingliang, Wu, Han, Lu, Bing, Sun, Pingping, Jiang, Xiaohui, Zhang, Xiaojing

    Published in Carcinogenesis (New York) (23-11-2022)
    “…Gastric cancer ranked third worldwide in terms of mortality. The immediate priority is to search for new prognosticative or therapeutic targets. This research…”
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    Journal Article
  5. 5

    DeHier: decoupled and hierarchical graph neural networks for multi-interest session-based recommendation by Lin, Ronghua, Tang, Feiyi, Yuan, Chengzhe, Zhong, Hao, Li, Weisheng, Tang, Yong

    Published in World wide web (Bussum) (2025)
    “…Session-based recommendation is a crucial task for learning the user’s intent and predicting their next clicks within a short session. Due to the diversity of…”
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    Journal Article
  6. 6

    DIRS-KG: a KG-enhanced interactive recommender system based on deep reinforcement learning by Lin, Ronghua, Tang, Feiyi, He, Chaobo, Wu, Zhengyang, Yuan, Chengzhe, Tang, Yong

    Published in World wide web (Bussum) (01-09-2023)
    “…Recommender systems play a vital role in discovering contents of interest to users in this information explosion era. However, traditional recommender systems…”
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    Journal Article
  7. 7

    Cross-Platform Instant Messaging System by Chengzhou Fu, Yong Tang, Chengzhe Yuan, Yuying Xu

    “…Instant Messaging systems are widely used in social software, especially in the mobile Internet era. With the diversified and rapid development of mobile…”
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    Conference Proceeding
  8. 8

    An Improved Community Detection Algorithm via Fusing Topology and Attribute Information by Xu, Qing, Qiu, Lunjie, Lin, Ronghua, Tang, Yong, He, Chaobo, Yuan, Chengzhe

    “…In today's society, social networking has been integrated into everyone's life. The detection of network community has been a hotspot in recent years, and it…”
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    Conference Proceeding
  9. 9

    Course Recommendation Model in Academic Social Networks Based on Association Rules and Multi -similarity by Huang, Xiaoxian, Tang, Yong, Qu, Rong, Li, Chunying, Yuan, Chengzhe, Sun, Saimei, Xu, Bixia

    “…Compared with traditional course websites, the open online course platforms have a larger number of courses, and course recommendation is becoming increasingly…”
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    Conference Proceeding