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Duoqian Miao

Duoqian Miao

D-Index & Metrics

Computer Science

D-Index
52
Citations
9913
World Ranking
5123
National Ranking
696

Overview

Duoqian Miao is a researcher affiliated with Tongji University in China. Their work primarily falls within the field of Computer Science, with a significant focus on Artificial Intelligence and related subfields. Miao's research contributions span over 322 publications, demonstrating extensive involvement in areas such as Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Information Systems, and Biomedical Engineering.

The research topics frequently explored by Miao include Rough Sets and Fuzzy Logic, Video Surveillance and Tracking Methods, Text and Document Classification Technologies, Data Mining Algorithms and Applications, as well as Advanced Neural Network Applications and Advanced Image and Video Retrieval Techniques. Topic Modeling is also among the areas covered by their work.

Miao has contributed to various journals and conferences, with prolific publication records in venues including:

  • Information Sciences (23 publications)
  • arXiv (Cornell University) (20 publications)
  • Expert Systems with Applications (11 publications)
  • Applied Intelligence (8 publications)
  • Proceedings of the AAAI Conference on Artificial Intelligence (7 publications)

Among their recent scientific papers are:

  • "Sequential End-to-end Network for Efficient Person Search," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Deep Fusion Feature Representation Learning With Hard Mining Center-Triplet Loss for Person Re-Identification," 2020, IEEE Transactions on Multimedia
  • "Feature selection for multi-label learning based on variable-degree multi-granulation decision-theoretic rough sets," 2024, International Journal of Approximate Reasoning
  • "Class-specific information measures and attribute reducts for hierarchy and systematicness," 2021, Information Sciences
  • "Shadowed Neighborhoods Based on Fuzzy Rough Transformation for Three-Way Classification," 2020, IEEE Transactions on Fuzzy Systems

Miao has also contributed to book publications, including a volume published by Springer Science+Business Media titled "Rough Sets" in 2022.

Their frequent collaborators comprise numerous researchers with whom Miao has co-authored multiple works. Key coauthors include Hongyun Zhang, Cairong Zhao, Witold Pedrycz, Caihui Liu, and Jin Qian.

Best Publications

  • From soft sets to information systems

    Daowu Pei;Duoqian Miao

  • A rough set approach to feature selection based on ant colony optimization

    Yumin Chen;Duoqian Miao;Ruizhi Wang

  • Three-way confusion matrix for classification: A measure driven view

    Jianfeng Xu;Jianfeng Xu;Yuanjian Zhang;Duoqian Miao

  • Best basis-based wavelet packet entropy feature extraction and hierarchical EEG classification for epileptic detection

    Deng Wang;Duoqian Miao;Chen Xie

  • Three-Way Group Conflict Analysis Based on Pythagorean Fuzzy Set Theory

    Guangming Lang;Duoqian Miao;Hamido Fujita

  • Relative reducts in consistent and inconsistent decision tables of the Pawlak rough set model

    D. Q. Miao;Y. Zhao;Y. Y. Yao;H. X. Li

  • Analysis on attribute reduction strategies of rough set

    Jue Wang;Duoqian Miao

  • Three-way decision approaches to conflict analysis using decision-theoretic rough set theory

    Guangming Lang;Duoqian Miao;Mingjie Cai

  • A graph-theoretical clustering method based on two rounds of minimum spanning trees

    Caiming Zhong;Duoqian Miao;Ruizhi Wang

  • Granular multi-label feature selection based on mutual information

    Feng Li;Duoqian Miao;Witold Pedrycz

  • Three-way enhanced convolutional neural networks for sentence-level sentiment classification

    Yuebing Zhang;Yuebing Zhang;Zhifei Zhang;Zhifei Zhang;Duoqian Miao;Duoqian Miao;Jiaqi Wang;Jiaqi Wang

  • Sequential End-to-end Network for Efficient Person Search

    Unknown

  • Multi-class motor imagery EEG decoding for brain-computer interfaces.

    Deng Wang;Deng Wang;Deng Wang;Duoqian Miao;Duoqian Miao;Gunnar Blohm

  • On multi-granulation covering rough sets

    Caihui Liu;Duoqian Miao;Jin Qian

  • Hybrid approaches to attribute reduction based on indiscernibility and discernibility relation

    J. Qian;D. Q. Miao;Z. H. Zhang;W. Li

  • Minimum spanning tree based split-and-merge: A hierarchical clustering method

    Caiming Zhong;Duoqian Miao;Pasi Fränti

  • Parallel attribute reduction algorithms using MapReduce

    Jin Qian;Duoqian Miao;Zehua Zhang;Xiaodong Yue;Xiaodong Yue

  • A fast minimum spanning tree algorithm based on K-means

    Caiming Zhong;Mikko Malinen;Duoqian Miao;Pasi Fränti

  • Rough Cluster Quality Index Based on Decision Theory

    P. Lingras;Min Chen;Duoqian Miao

  • Constructive methods of rough approximation operators and multigranulation rough sets

    Xiaohong Zhang;Duoqian Miao;Caihui Liu;Meilong Le

  • A rough set approach to feature selection based on power set tree

    Yumin Chen;Duoqian Miao;Ruizhi Wang;Keshou Wu

Frequent Co-Authors

Witold Pedrycz
Witold Pedrycz University of Alberta
Zhihui Lai
Zhihui Lai Shenzhen University
Yiyu Yao
Yiyu Yao University of Regina
Pawan Lingras
Pawan Lingras Saint Mary's University
Fuji Ren
Fuji Ren University of Electronic Science and Technology of China
Hamido Fujita
Hamido Fujita University of Technology Malaysia
Longbing Cao
Longbing Cao University of Technology Sydney
Ri-Gui Zhou
Ri-Gui Zhou Shanghai Maritime University
Wangmeng Zuo
Wangmeng Zuo Harbin Institute of Technology
Pasi Fränti
Pasi Fränti University of Eastern Finland

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