Gong Cheng
Also known as 程塨
Gong Cheng is a computer-vision researcher whose work spans object detection, remote-sensing scene classification and visual tracking. He earned degrees at Xidian University and Northwestern Polytechnical University, then coauthored papers introducing RIFD-CNN and the NWPU-RESISC45 benchmark. His papers received IEEE GRSS Highest Impact Paper Awards in 2021 and 2023; a coauthored co-saliency paper also won the IEEE TCSVT Best Paper Award in 2021. As of October 2026, he is a professor in Northwestern Polytechnical University's School of Automation.
- Works
- 187
- Citations
- 23,560
- h-index
- 63
Publication numbers from OpenAlex, as of 22 October 2026.
Timeline
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2007–2013
Degrees from Xidian and NWPU
He earns a B.S. from Xidian University in 2007, an M.S. from Northwestern Polytechnical University in 2010 and a Ph.D. there in 2013.
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2016
RIFD-CNN for object detection
With Peicheng Zhou and Junwei Han, he proposes RIFD-CNN for object detection in 2016. The model combines a rotation-invariant layer with a Fisher discriminative layer.
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2017
NWPU-RESISC45 benchmark
He coauthors a survey of remote-sensing image scene classification with Junwei Han and Xiaoqiang Lu in 2017. The paper introduces NWPU-RESISC45, a public benchmark of 31,500 images across 45 scene classes.
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May 2021
IEEE TCSVT Best Paper Award
In May 2021, his 2018 paper with Junwei Han on co-saliency detection receives the IEEE TCSVT Best Paper Award.
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July 2021
GRSS award for object detection
In July 2021, his 2016 paper with Peicheng Zhou and Junwei Han on rotation-invariant CNNs for object detection receives the IEEE GRSS Highest Impact Paper Award.
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2023
GRSS scene-classification award
In 2023, his 2018 paper with Junwei Han and colleagues on remote-sensing image scene classification receives the IEEE GRSS Highest Impact Paper Award.
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June 2025
RGB-T UAV tracking
Published online in June 2025, he coauthors a feature-cooperative reconstruction method for RGB-T UAV tracking with Dong Gao and Pujian Lai. It uses a cross-modal interaction encoder and feature reconstruction decoder to combine visible-light and thermal-infrared information.
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As of October 2026
Professor in the School of Automation
As of October 2026, he is a professor in the School of Automation at Northwestern Polytechnical University. His research interests include computer vision, pattern recognition and remote-sensing image analysis.
Career
- Since 2010Northwestern Polytechnical UniversityProfessor
Education
- 2013Northwestern Polytechnical UniversityPh.D.
- 2010Northwestern Polytechnical UniversityM.S.
- 2007Xidian UniversityB.S.
Sources and credits
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- Gong CHENG
- RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection
- Remote Sensing Image Scene Classification: Benchmark and State of the Art
- The Brain and Artificial Intelligence Research Team of the School of Automation Has Won the Top International Academic Award for 3 Years
- RGB-T UAV object tracking based on feature-cooperative reconstruction


