World's Best Scientists 2026 revealed!
Min-Ling Zhang

Min-Ling Zhang

D-Index & Metrics

Computer Science

D-Index
47
Citations
18693
World Ranking
6299
National Ranking
840

Overview

Min-Ling Zhang is affiliated with Southeast University in China and has produced a significant body of research primarily in the field of Computer Science. Their work spans a variety of subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Information Systems, and Plant Science.

Their research contributions are distributed across several main topics: text and document classification technologies, machine learning and data classification, image retrieval and classification techniques, face and expression recognition, machine learning in bioinformatics, domain adaptation and few-shot learning, and advanced image and video retrieval techniques.

Recent notable publications include:

  • Partial Multi-Label Learning via Credible Label Elicitation, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Towards Class-Imbalance Aware Multi-Label Learning, 2020, IEEE Transactions on Cybernetics

Coauthor collaborations have been frequent with several researchers, including:

  • Bin-Bin Jia
  • Weijia Zhang
  • Deng-Bao Wang
  • Jun-Yi Hang
  • Xin Geng

The scientist has published extensively in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Pattern Recognition
  • IEEE Transactions on Knowledge and Data Engineering

Min-Ling Zhang also has two book publications with Springer Science+Business Media, both titled "Advances in Knowledge Discovery and Data Mining" published in 2022, which have garnered citations.

Best Publications

  • ML-KNN: A lazy learning approach to multi-label learning

    Min-Ling Zhang;Zhi-Hua Zhou

  • A Review On Multi-Label Learning Algorithms

    Min-Ling Zhang;Zhi-Hua Zhou

  • Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization

    Min-Ling Zhang;Zhi-Hua Zhou

  • A k-nearest neighbor based algorithm for multi-label classification

    Min-Ling Zhang;Zhi-Hua Zhou

  • Lift : Multi-Label Learning with Label-Specific Features

    Min-Ling Zhang;Lei Wu

  • Multi-Instance Multi-Label Learning with Application to Scene Classification

    Zhi-hua Zhou;Min-ling Zhang

  • Feature selection for multi-label naive Bayes classification

    Min-Ling Zhang;José M. Peña;Victor Robles

  • Multi-instance multi-label learning

    Zhi-Hua Zhou;Min-Ling Zhang;Sheng-Jun Huang;Yu-Feng Li

  • Multi-label learning by exploiting label dependency

    Min-Ling Zhang;Kun Zhang

  • Binary relevance for multi-label learning: an overview

    Min-Ling Zhang;Yu-Kun Li;Xu-Ying Liu;Xin Geng

  • Ml-rbf: RBF Neural Networks for Multi-Label Learning

    Min-Ling Zhang

  • Disambiguation-Free Partial Label Learning

    Min-Ling Zhang;Fei Yu;Cai-Zhi Tang

  • Neural Networks for Multi-Instance Learning

    Zhi-Hua Zhou;Min-Ling Zhang

  • Solving multi-instance problems with classifier ensemble based on constructive clustering

    Zhi-Hua Zhou;Min-Ling Zhang

  • Multi-instance clustering with applications to multi-instance prediction

    Min-Ling Zhang;Zhi-Hua Zhou

  • Towards Class-Imbalance Aware Multi-Label Learning.

    Min-Ling Zhang;Yu-Kun Li;Hao Yang;Xu-Ying Liu

  • M3MIML: A Maximum Margin Method for Multi-instance Multi-label Learning

    Min-Ling Zhang;Zhi-Hua Zhou

  • Solving the partial label learning problem: an instance-based approach

    Min-Ling Zhang;Fei Yu

  • Partial Label Learning via Feature-Aware Disambiguation

    Min-Ling Zhang;Bin-Bin Zhou;Xu-Ying Liu

  • Multi-Label Manifold Learning

    Peng Hou;Xin Geng;Min-Ling Zhang

  • Disambiguation-Free Partial Label Learning.

    Min-Ling Zhang

  • LIFT: multi-label learning with label-specific features

    Min-Ling Zhang

Frequent Co-Authors

Zhi-Hua Zhou
Zhi-Hua Zhou Nanjing University
Xin Geng
Xin Geng Southeast University
Qing He
Qing He University of Chinese Academy of Sciences
Kun Zhang
Kun Zhang Carnegie Mellon University
Yulan He
Yulan He King's College London
Fuzhen Zhuang
Fuzhen Zhuang Beihang University
Grigorios Tsoumakas
Grigorios Tsoumakas Aristotle University of Thessaloniki
Peiheng Wu
Peiheng Wu Nanjing University
Xinglong Wu
Xinglong Wu Nanjing University
Yuhua Shen
Yuhua Shen Anhui University

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