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D-Index & Metrics

Computer Science

D-Index
43
Citations
7176
World Ranking
8028
National Ranking
1050

Overview

Bao-Gang Hu is affiliated with the Chinese Academy of Sciences in China and focuses research primarily within the field of Computer Science. Their work spans several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Plant Science, and Ecology, Evolution, Behavior and Systematics.

Their research covers a range of topics, notably Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Advanced Image and Video Retrieval Techniques, Machine Learning and Data Classification, Climate Change Impacts on Agriculture, Energy Load and Power Forecasting, and Solar Radiation and Photovoltaics.

Recent publications by Bao-Gang Hu include:

  • "Machine learning versus crop growth models: an ally, not a rival" (2022, AoB Plants)
  • "Two decades of research with the GreenLab model in agronomy" (2020, Annals of Botany)
  • "Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning" (2020, Proceedings of the AAAI Conference on Artificial Intelligence)
  • "Incremental Concept Learning via Online Generative Memory Recall" (2020, IEEE Transactions on Neural Networks and Learning Systems)
  • "Learning to assess visual aesthetics of food images" (2020, Computational Visual Media)

Bao-Gang Hu has published multiple works in various venues, including:

  • arXiv (Cornell University)
  • AoB Plants
  • Annals of Botany
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Neural Networks and Learning Systems

Collaborations have been an important element of Bao-Gang Hu's research, with frequent co-authors including Weiming Dong, Kekai Sheng, Baoyuan Wu, Mengzhen Kang, and Menglei Chai. These collaborations have contributed to the breadth and interdisciplinarity of research outputs.

Best Publications

  • Maximum Correntropy Criterion for Robust Face Recognition

    Ran He;Wei-Shi Zheng;Bao-Gang Hu

  • Analysis of direct action fuzzy PID controller structures

    G.K.I. Mann;Bao-Gang Hu;R.G. Gosine

  • New methodology for analytical and optimal design of fuzzy PID controllers

    Baogang Hu;G.K.I. Mann;R.G. Gosine

  • Robust Principal Component Analysis Based on Maximum Correntropy Criterion

    Ran He;Bao-Gang Hu;Wei-Shi Zheng;Xiang-Wei Kong

  • A systematic study of fuzzy PID controllers-function-based evaluation approach

    Bao-Gang Hu;G.K.I. Mann;R.G. Gosine

  • Robust feature extraction via information theoretic learning

    Xiao-Tong Yuan;Bao-Gang Hu

  • Constrained Clustering and Its Application to Face Clustering in Videos

    Baoyuan Wu;Yifan Zhang;Bao-Gang Hu;Qiang Ji

  • Structural Factorization of Plants to Compute Their Functional and Architectural Growth

    Paul-Henry Cournède;Meng-Zhen Kang;Amélie Mathieu;Jean-François Barczi

  • Two-Stage Nonnegative Sparse Representation for Large-Scale Face Recognition

    Ran He;Wei-Shi Zheng;Bao-Gang Hu;Xiang-Wei Kong

  • Fast Hydraulic Erosion Simulation and Visualization on GPU

    Xing Mei;Philippe Decaudin;Bao-Gang Hu

  • Nonnegative sparse coding for discriminative semi-supervised learning

    Ran He;Wei-Shi Zheng;Bao-Gang Hu;Xiang-Wei Kong

  • Multi-label learning with missing labels for image annotation and facial action unit recognition

    Baoyuan Wu;Siwei Lyu;Bao-Gang Hu;Qiang Ji

  • A regularized correntropy framework for robust pattern recognition

    Ran He;Wei-Shi Zheng;Bao-Gang Hu;Xiang-Wei Kong

  • Fast Hydraulic Erosion Simulation and Visualization on GPU

    Unknown

  • Robust support vector machines based on the rescaled hinge loss function

    Guibiao Xu;Zheng Cao;Bao-Gang Hu;Jose C. Principe

  • Two-level tuning of fuzzy PID controllers

    G.K.I. Mann;Bao-Gang Hu;R.G. Gosine

  • Attention-based Multi-Patch Aggregation for Image Aesthetic Assessment

    Kekai Sheng;Weiming Dong;Chongyang Ma;Xing Mei

  • Multi-label Learning with Missing Labels

    Baoyuan Wu;Zhilei Liu;Shangfei Wang;Bao-Gang Hu

  • Analytical study of a stochastic plant growth model: Application to the GreenLab model

    M. Z. Kang;P. H. Cournède;P. de Reffye;D. Auclair

  • Time-domain based design and analysis of new PID tuning rules

    G.K.I. Mann;B.-G. Hu;R.G. Gosine

  • Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos

    Baoyuan Wu;Siwei Lyu;Bao-Gang Hu;Qiang Ji

Frequent Co-Authors

Ran He
Ran He Chinese Academy of Sciences
Qiang Ji
Qiang Ji Rensselaer Polytechnic Institute
Siwei Lyu
Siwei Lyu University at Buffalo, State University of New York
Feiyue Huang
Feiyue Huang Tencent (China)
Baoyuan Wu
Baoyuan Wu Chinese University of Hong Kong, Shenzhen
Wei-Shi Zheng
Wei-Shi Zheng Sun Yat-sen University
Xiaopeng Zhang
Xiaopeng Zhang Chinese Academy of Sciences
Ep Heuvelink
Ep Heuvelink Wageningen University & Research
Oliver Deussen
Oliver Deussen University of Konstanz
Josiane Zerubia
Josiane Zerubia French Institute for Research in Computer Science and Automation - INRIA

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