PeopleofSuperintelligence

Researcher

Maoguo Gong

Also known as M. Gong, M.G. Gong, Mao Gong, 公茂果

Maoguo Gong is a professor at Xidian University whose research spans computational intelligence, collaborative learning, and remote sensing. He earned a bachelor's degree in circuits and systems in 2003, joined Xidian's School of Electronic Engineering in 2006, and became a professor there in 2010. His work ranges from deep-neural change detection for radar imagery in 2016 to methods for federated few-shot learning and internal-wave segmentation in 2025; in 2019, IEEE Transactions on Evolutionary Computation names him an Outstanding Associate Editor. He became an IEEE Fellow in 2024. As of October 2026, he directs Xidian's Key Laboratory of Collaborative Intelligence Systems and is vice president of Inner Mongolia Normal University.

Now at
Xidian University and Inner Mongolia Normal University
Works
825
Citations
26,867
h-index
80
Rankings
#83 by first-author papers
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 1999–2003

    A bachelor's at Xidian

    He studies circuits and systems at Xidian University from 1999 to 2003 and earns a bachelor's degree.

  2. 2006–2010

    Professor at Xidian

    He joins Xidian University's School of Electronic Engineering in 2006 and becomes a professor there in 2010.

  3. 2016

    Deep learning for SAR change detection

    In 2016, he coauthors a deep-neural-network approach to detecting change in synthetic aperture radar images. The network builds a change map directly from two images.

  4. 2019

    Outstanding associate editor

    In 2019, he receives an Outstanding Associate Editor distinction from IEEE Transactions on Evolutionary Computation.

  5. 2024

    An IEEE Fellowship

    In 2024, IEEE elevates him to Fellow for contributions to collaborative learning and optimization.

  6. 2025

    FedFSL-CFRD for few-shot learning

    In 2025, he coauthors FedFSL-CFRD, which separates global and local feature representations for federated few-shot learning.

  7. 2025

    SMLA for internal-wave segmentation

    In 2025, he coauthors SMLA, a framework that combines state-space modeling with linear attention to segment internal waves in synthetic-aperture radar imagery.

  8. As of October 2026

    Professor, lab director and vice president

    He is a professor at Xidian University and vice president of Inner Mongolia Normal University. He directs Xidian's Ministry of Education Key Laboratory of Collaborative Intelligence Systems, and his research spans computational intelligence, collaborative learning, optimization, and remote sensing.

Career

  1. Since 2024Inner Mongolia Normal UniversityVice President
  2. Since 2006Xidian UniversityDirector, Professor
  3. 2020–2025Shandong University of Science and Technology
  4. 2015–2019Northwestern Polytechnical University

Education

  1. 2003Xidian UniversityBachelor's degree in Circuits and Systems

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation2012 · IEEE Transactions on Image Processing · 641 citations
  2. Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks2015 · IEEE Transactions on Neural Networks and Learning Systems · 638 citations
  3. Change Detection in Synthetic Aperture Radar Images based on Image Fusion and Fuzzy Clustering2011 · IEEE Transactions on Image Processing · 561 citations
  4. A Multiobjective Evolutionary Algorithm Based on Decision Variable Analyses for Multiobjective Optimization Problems With Large-Scale Variables2015 · IEEE Transactions on Evolutionary Computation · 526 citations
  5. A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images2016 · IEEE Transactions on Neural Networks and Learning Systems · 523 citations

From OpenAlex, as of 21 October 2026.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Xidian University. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Xidian University. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  3. 5 of the 25 people with the most-cited recent papers also lead on career citationsIncludes Xidian University. We compare citations to 2023–2025 papers with career citations and h-index, after correcting reviewed publication-date errors: who leads, when they started and where they work.
  4. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Xidian University. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. Maoguo Gong Home Home faculty.xidian.edu.cn. Checked 21 October 2026.
  2. Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks explore.openaire.eu. Checked 21 October 2026.
  3. Maoguo Gong Awards and Honours faculty.xidian.edu.cn. Checked 21 October 2026.
  4. IEEE Computer Society Announces 2024 Class of Fellows computer.org. Checked 21 October 2026.
  5. FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement ojs.aaai.org. Checked 21 October 2026.
  6. State-Space Model Meets Linear Attention: A Hybrid Architecture for Internal Wave Segmentation explore.openaire.eu. Checked 21 October 2026.
  7. 2026 12th International Conference on Sensor-Cloud and Edge Computing System scecs.org. Checked 21 October 2026.