Ming‐Ming Cheng
Also known as Ming-Ming Cheng, 程明明
Ming-Ming Cheng is a professor at Nankai University and Executive Dean of the School of Excellent Engineers. His work includes Res2Net, a building block for convolutional networks that appeared in IEEE TPAMI in 2021. Google gave him a PhD fellowship in December 2010, and he completed his doctorate at Tsinghua University in 2012. After the doctorate, he spent two years working with Philip Torr at Oxford. Clarivate named him a Highly Cited Researcher for 2022 to 2025.
- Now at
- Nankai University and Media Computing Team
- Works
- 398
- Citations
- 53,012
- h-index
- 99
Publication numbers from OpenAlex, as of 15 October 2026.
Timeline
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December 2010
A Google PhD fellowship
He receives a Google PhD fellowship in December 2010.
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2012
A Tsinghua PhD, then Oxford
He completes his Ph.D. at Tsinghua University in 2012 and then works with Philip Torr at Oxford for two years.
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August 2013
A Beijing dissertation award
The Beijing Municipal Government gives him its Outstanding Doctoral Dissertations Award in August 2013.
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2019–2021
Res2Net, a multi-scale backbone
He co-writes Res2Net, a building block for convolutional networks, which is posted in 2019 and published in IEEE TPAMI in 2021.
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2020
An IEEE senior member
The 2020 summer school at Shandong University lists him as an IEEE senior member on the editorial boards of IEEE TIP.
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2021–2023
Large-scale unsupervised segmentation
He is a coauthor of a paper on large-scale unsupervised semantic segmentation, posted in 2021 and published in IEEE TPAMI in 2023.
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2022–2025
A Clarivate highly cited researcher
Clarivate names him a Highly Cited Researcher for 2022 to 2025.
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As of October 2026
Executive Dean at Nankai
He is a professor at Nankai University, Executive Dean of the School of Excellent Engineers, and academic leader of the media computing team.
Sources and credits
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