Search Results - "Zhang, Renxian"

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  1. 1

    Automatic Twitter Topic Summarization With Speech Acts by Zhang, Renxian, Li, Wenjie, Gao, Dehong, Ouyang, You

    “…With the growth of the social media service of Twitter, automatic summarization of Twitter messages (tweets) is in urgent need for efficient processing of the…”
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    Journal Article
  2. 2

    Sequential Summarization: A Full View of Twitter Trending Topics by Gao, Dehong, Li, Wenjie, Cai, Xiaoyan, Zhang, Renxian, Ouyang, You

    “…As an information delivering platform, Twitter collects millions of tweets every day. However, some users, especially new users, often find it difficult to…”
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    Journal Article
  3. 3

    A progressive sentence selection strategy for document summarization by Ouyang, You, Li, Wenjie, Zhang, Renxian, Li, Sujian, Lu, Qin

    Published in Information processing & management (01-01-2013)
    “…► Study the subsuming relationship between sentences. ► Define the conditional saliency of a new sentence to the already-selected sentences. ► Progressively…”
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    Journal Article
  4. 4

    A Three-Layered Mutually Reinforced Model for Personalized Citation Recommendation by Cai, Xiaoyan, Han, Junwei, Li, Wenjie, Zhang, Renxian, Pan, Shirui, Yang, Libin

    “…Fast-growing scientific papers pose the problem of rapidly and accurately finding a list of reference papers for a given manuscript. Citation recommendation is…”
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    Journal Article
  5. 5

    Enhancing diversity and coverage of document summaries through subspace clustering and clustering-based optimization by Cai, Xiaoyan, Li, Wenjie, Zhang, Renxian

    Published in Information sciences (20-09-2014)
    “…Sentence clustering has been successfully applied in document summarization to discover the topics conveyed in a collection of documents. However, existing…”
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    Journal Article
  6. 6

    MicroRNA-342 inhibits cell proliferation and invasion in nasopharyngeal carcinoma by directly targeting ZEB1 by Zhu, Xiaoning, Li, Wei, Zhang, Renxian, Liu, Yutao

    Published in Oncology letters (01-07-2018)
    “…Nasopharyngeal carcinoma (NPC) is prevalent in Africa and East Asia, particularly in the southern areas of China. Previous data has demonstrated that microRNAs…”
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  7. 7

    Fusion of multiple channel features for person re-identification by Wang, Xuekuan, Zhao, Cairong, Miao, Duoqian, Wei, Zhihua, Zhang, Renxian, Ye, Tingfei

    Published in Neurocomputing (Amsterdam) (12-11-2016)
    “…Person re-identification plays an important role for automatic search of a person's presence in a surveillance video, and feature representation is a critical…”
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    Journal Article
  8. 8

    Coherent narrative summarization with a cognitive model by Zhang, Renxian, Li, Wenjie, Liu, Naishi, Gao, Dehong

    Published in Computer speech & language (01-01-2016)
    “…•Borrowing theories from cognitive psychology, we propose a computational model of human cognition.•Using the cognitive model, we generate coherent narrative…”
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  9. 9

    Information Ordering with an Event-Enriched Vector Space Model for Multi-Document News Summarization by Zhang, Renxian, Li, Wenjie, Liu, Naishi, Lu, Qin

    Published in Computational intelligence (01-05-2016)
    “…Information ordering is a nontrivial task in multi‐document summarization (MDS), which typically relies on the traditional vector space model (VSM) notorious…”
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    Journal Article
  10. 10

    On Orderings of Probability Vectors and Unsupervised Performance Estimation by Maaz, Muhammad, Qiao, Rui, Zhou, Yiheng, Zhang, Renxian

    Published 16-06-2023
    “…Unsupervised performance estimation, or evaluating how well models perform on unlabeled data is a difficult task. Recently, a method was proposed by Garg et…”
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    Journal Article
  11. 11

    Detecting "Smart" Spammers On Social Network: A Topic Model Approach by Liu, Linqing, Lu, Yao, Luo, Ye, Zhang, Renxian, Itti, Laurent, Lu, Jianwei

    Published 09-06-2016
    “…Spammer detection on social network is a challenging problem. The rigid anti-spam rules have resulted in emergence of "smart" spammers. They resemble…”
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