World's Best Scientists 2026 revealed!
Zhi-Hua Zhou

Zhi-Hua Zhou

Award Badge
Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
123
Citations
86943
World Ranking
125
National Ranking
15

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2019 - Edward J. McCluskey Technical Achievement Award, IEEE Computer Society For contributions to machine learning and data mining.
  • 2017 - Member of Academia Europaea
  • 2016 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2016 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to ensemble methods and learning from multi-labeled and partially-labeled data.
  • 2016 - ACM Fellow For contributions to machine learning and data mining.
  • 2013 - IEEE Fellow For contributions to learning systems in data mining and pattern recognition
  • 2013 - ACM Distinguished Member
  • 2011 - ACM Senior Member

Overview

Zhi-Hua Zhou is affiliated with Nanjing University in China. Their research spans primarily the field of Computer Science, with a focus on Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, and Signal Processing.

The scientist's recent publications include:

  • "Multi-Label Learning by Exploiting Label Correlations Locally" (2021) in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Reducing the uncertainty in estimating soil microbial-derived carbon storage" (2024) in Proceedings of the National Academy of Sciences
  • "Learning With Interpretable Structure From Gated RNN" (2020) in IEEE Transactions on Neural Networks and Learning Systems
  • "Towards Discovering What Patterns Trigger What Labels" (2021) in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Prediction With Unpredictable Feature Evolution" (2021) in IEEE Transactions on Neural Networks and Learning Systems

Frequent co-authors of Zhi-Hua Zhou include:

  • Peng Zhao
  • Yuan Jiang
  • Shao-Qun Zhang
  • Chao Qian
  • Bojian Hou

Zhi-Hua Zhou publishes regularly in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Knowledge and Data Engineering
  • Artificial Intelligence
  • IEEE Transactions on Neural Networks and Learning Systems

The scientist has contributed to book publications with Springer Science+Business Media, including two editions titled "Advances in Knowledge Discovery and Data Mining" published in 2022.

Their main research topics cover:

  • Machine Learning and Data Classification
  • Data Stream Mining Techniques
  • Machine Learning and Algorithms
  • Advanced Bandit Algorithms Research
  • Neural Networks and Applications
  • Face and Expression Recognition
  • Anomaly Detection Techniques and Applications

Zhi-Hua Zhou has received multiple recognitions such as the Edward J. McCluskey Technical Achievement Award from IEEE Computer Society in 2019 for contributions to machine learning and data mining. They are a Member of Academia Europaea since 2017 and a Fellow of the American Association for the Advancement of Science (AAAS), the Association for the Advancement of Artificial Intelligence (AAAI), IEEE, and the ACM. The ACM fellowship was awarded in 2016 specifically for work in machine learning and data mining, and the AAAI fellowship recognizes contributions to ensemble methods as well as learning from multi-labeled and partially-labeled data. They also hold the titles of ACM Distinguished Member and ACM Senior Member.

Best Publications

  • Top 10 algorithms in data mining

    Xindong Wu;Vipin Kumar;J. Ross Quinlan;Joydeep Ghosh

  • Isolation Forest

    F.T. Liu;Kai Ming Ting;Zhi-Hua Zhou

  • 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

  • Exploratory Undersampling for Class-Imbalance Learning

    Xu-Ying Liu;Jianxin Wu;Zhi-Hua Zhou

  • Ensemble Methods: Foundations and Algorithms

    Zhi-Hua Zhou

  • Ensembling neural networks: many could be better than all

    Zhi-Hua Zhou;Jianxin Wu;Wei Tang

  • Exploratory Under-Sampling for Class-Imbalance Learning

    Xu-Ying Liu;Jianxin Wu;Zhi-Hua Zhou

  • Isolation-Based Anomaly Detection

    Fei Tony Liu;Kai Ming Ting;Zhi-Hua Zhou

  • A brief introduction to weakly supervised learning

    Zhi-Hua Zhou

  • Training cost-sensitive neural networks with methods addressing the class imbalance problem

    Zhi-Hua Zhou;Xu-Ying Liu

  • Understanding bag-of-words model: A statistical framework

    Yin Zhang;Rong Jin;Zhi Hua Zhou

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

    Min-Ling Zhang;Zhi-Hua Zhou

  • Tri-training: exploiting unlabeled data using three classifiers

    Zhi-Hua Zhou;Ming Li

  • Automatic Age Estimation Based on Facial Aging Patterns

    Xin Geng;Zhi-Hua Zhou;K. Smith-Miles

  • Face recognition from a single image per person: A survey

    Xiaoyang Tan;Songcan Chen;Zhi-Hua Zhou;Fuyan Zhang

  • Deep forest: towards an alternative to deep neural networks

    Zhi-Hua Zhou;Ji Feng

  • Letters: (2D)2PCA: Two-directional two-dimensional PCA for efficient face representation and recognition

    Daoqiang Zhang;Zhi-Hua Zhou

  • Facial Age Estimation by Learning from Label Distributions

    Xin Geng;Chao Yin;Zhi-Hua Zhou

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

    Min-Ling Zhang;Zhi-Hua Zhou

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

    Zhi-hua Zhou;Min-ling Zhang

Frequent Co-Authors

Yang Yu
Yang Yu Nanjing University
Rong Jin
Rong Jin Alibaba Group (China)
Songcan Chen
Songcan Chen Nanjing University of Aeronautics and Astronautics
Min-Ling Zhang
Min-Ling Zhang Southeast University
Jianxin Wu
Jianxin Wu Nanjing University
Tianbao Yang
Tianbao Yang Texas A&M University
Kai Ming Ting
Kai Ming Ting Nanjing University
Xin Geng
Xin Geng Southeast University
Daoqiang Zhang
Daoqiang Zhang Nanjing University of Aeronautics and Astronautics
Xiu-Shen Wei
Xiu-Shen Wei Southeast University

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