Search Results - "Mao, Cunli"

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  1. 1

    Balancing Energy Consumption in Heterogeneous Wireless Sensor Networks Using Genetic Algorithm by Elhoseny, Mohamed, Xiaohui Yuan, Zhengtao Yu, Cunli Mao, El-Minir, Hamdy K., Riad, Alaa Mohamed

    Published in IEEE communications letters (01-12-2015)
    “…In a heterogeneous Wireless Sensor Network (WSN), factors such as initial energy, data processing capability, etc. greatly influence the network lifespan…”
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    Journal Article
  2. 2

    A Clustering Method of Case-Involved News by Combining Topic Network and Multi-Head Attention Mechanism by Mao, Cunli, Liang, Haoyuan, Yu, Zhengtao, Huang, Yuxin, Guo, Junjun

    Published in Sensors (Basel, Switzerland) (11-11-2021)
    “…Finding the news of same case from the large numbers of case-involved news is an important basis for public opinion analysis. Existing text clustering methods…”
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    Journal Article
  3. 3

    View-interactive attention information alignment-guided fusion for incomplete multi-view clustering by Shu, Zhenqiu, Luo, Yunwei, Huang, Yuxin, Mao, Cunli, Yu, Zhengtao

    Published in Expert systems with applications (15-10-2024)
    “…Multi-view data from real applications is usually incomplete, leading to unsatisfactory performance in clustering tasks. Existing incomplete multi-view…”
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    Journal Article
  4. 4

    Fractional differential and variational method for image fusion and super-resolution by Li, Huafeng, Yu, Zhengtao, Mao, Cunli

    Published in Neurocomputing (Amsterdam) (01-01-2016)
    “…This paper introduces a novel fractional differential and variational model that includes the terms of fusion and super-resolution, edge enhancement and noise…”
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    Journal Article
  5. 5

    Multifocus image fusion by combining with mixed-order structure tensors and multiscale neighborhood by Li, Huafeng, Li, Xiaosong, Yu, Zhengtao, Mao, Cunli

    Published in Information sciences (01-07-2016)
    “…•A new fusion scheme based on multiscale neighborhood technique is proposed for multifocus image fusion.•A new focus measure by combining the structure tensors…”
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    Journal Article
  6. 6

    Structure-guided feature and cluster contrastive learning for multi-view clustering by Shu, Zhenqiu, Li, Bin, Mao, Cunli, Gao, Shengxiang, Yu, Zhengtao

    Published in Neurocomputing (Amsterdam) (14-05-2024)
    “…Multi-view clustering (MVC) technology performs unsupervised clustering on data collected from multiple sources, and has received intense attention in recent…”
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    Journal Article
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    Multi-view clustering via label-embedded regularized NMF with dual-graph constraints by Li, Bin, Shu, Zhenqiu, Liu, Yingbo, Mao, Cunli, Gao, Shengxiang, Yu, Zhengtao

    Published in Neurocomputing (Amsterdam) (28-09-2023)
    “…Nonnegative matrix factorization (NMF) methods have achieved remarkable performances in multi-view clustering due to their effectiveness and efficiency. To…”
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    Journal Article
  9. 9
  10. 10

    Scale-Insensitive Object Detection via Attention Feature Pyramid Transformer Network by Li, Lingling, Zheng, Changwen, Mao, Cunli, Deng, Haibo, Jin, Taisong

    Published in Neural processing letters (01-02-2022)
    “…With the progress of deep learning, object detection has attracted great attention in computer vision community. For object detection task, one key challenge…”
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    Journal Article
  11. 11

    DETS: End-to-End Single-Stage Text-to-Speech Via Hierarchical Diffusion Gan Models by Wang, Linqin, Yu, Zhengtao, Gao, Shengxiang, Mao, Cunli, Huang, Yuxin

    “…End-to-end single-stage text-to-speech models have garnered significant attention in recent research, surpassing the performance of conventional two-stage…”
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    Conference Proceeding
  12. 12

    Multi-source domain adaptation for dependency parsing via domain-aware feature generation by Li, Ying, Zhang, Zhenguo, Xian, Yantuan, Yu, Zhengtao, Gao, Shengxiang, Mao, Cunli, Huang, Yuxin

    “…With deep representation learning advances, supervised dependency parsing has achieved a notable enhancement. However, when the training data is drawn from…”
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    Journal Article
  13. 13

    The effects of domain knowledge relations on domain text classification by Han Lu, Yu Zhengtao, Deng Jinhui, Zhang Cheng, Mao Cunli, Guo Jianyi

    Published in 2008 27th Chinese Control Conference (01-07-2008)
    “…The text classification usually uses the statistical method to select characteristic. When it is carried out in different domains, the special interior…”
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    Conference Proceeding
  14. 14

    Zero-Shot Text Normalization via Cross-Lingual Knowledge Distillation by Wang, Linqin, Huang, Xiang, Yu, Zhengtao, Peng, Hao, Gao, Shengxiang, Mao, Cunli, Huang, Yuxin, Dong, Ling, Yu, Philip S.

    “…Text normalization (TN) is a crucial preprocessing step in text-to-speech synthesis, which pertains to the accurate pronunciation of numbers and symbols within…”
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    Journal Article
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    Chinese Question Classification Based on Question Property Kernel by Liu, Li, Yu, Zhengtao, Guo, Jianyi, Mao, Cunli, Hong, Xudong

    “…Support vector machine have been widely used in classification tasks, however, the structure of the question is ignored while using the standard kernel…”
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    Journal Article
  17. 17

    Question classification based on co-training style semi-supervised learning by Yu, Zhengtao, Su, Lei, Li, Lina, Zhao, Quan, Mao, Cunli, Guo, Jianyi

    Published in Pattern recognition letters (01-10-2010)
    “…In statistical question classification, semi-supervised learning that can exploit the abundant unlabeled samples has received substantial attention in recent…”
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    Journal Article
  18. 18

    Semi-supervised expert metadata extraction based on co-training style by Youmin Zhang, Zhengtao Yu, Li Liu, Jianyi Guo, Cunli Mao

    “…Aiming at the problem that requiring large amounts of labeled training data while using supervised learning to extract the expert metadata, a semi-supervised…”
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    Conference Proceeding
  19. 19

    Question trunks and focus extraction based on question dependency syntax conversion by Yuehong Liu, Zhengtao Yu, Cunli Mao, Jianyi Guo, Yantuan Xian

    “…For the problems of extracting question trunks and focus extraction completely by conventional dependency syntax parsing, this paper presents a method of…”
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    Conference Proceeding
  20. 20

    Naxi-English bilingual word alignment based on language feature model of Naxi by Zhengtao Yu, Tao Zhang, Jianyi Guo, Cunli Mao, Jian Li

    “…To achieve the corpus of Naxi - English bilingual words alignment, aim at syntactic characteristics of Naxi language. A Naxi-English bilingual words alignment…”
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    Conference Proceeding