Yongdong Zhang
Also known as Yong-Dong ZHANG, Yong-Dong Zhang, Yong-dong Zhang, 张勇东
Yongdong Zhang is a USTC computer scientist whose AI research spans multimedia analysis and online content security. He earned degrees at Dalian University of Technology and Tianjin University, worked at the Chinese Academy of Sciences from 2002 to 2017, and joined USTC as a professor in 2017. His work includes high-throughput internet-video computing, the ABINet scene-text recognizer, and machine-generated-text detection; it earned the 2019 National Natural Science Award and the 2023 National Technical Invention Award, and IEEE named him a Fellow in 2025. As of October 2026, he is a professor and executive dean at USTC and leads a national project to build a large-scale controllable social-network simulator.
- Works
- 826
- Citations
- 36,291
- h-index
- 86
Publication numbers from OpenAlex, as of 22 October 2026.
Timeline
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1991–2002
Degrees in engineering
He earns a bachelor's and a master's degree at Dalian University of Technology and completes a doctorate at Tianjin University in 2002.
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2002–2017
Research at the Computing Institute
From 2002 to 2017, he works at the Institute of Computing Technology, Chinese Academy of Sciences, in assistant, associate and full researcher roles.
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2017–2019
Professor and executive dean
He joins USTC as a professor in July 2017 and becomes executive dean of its School of Information Science and Technology in July 2019.
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2019
National Natural Science Award
He ranks first among the contributors to high-throughput computing theory and methods for internet video streams, which earns the second-class National Natural Science Award in 2019.
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2021
ABINet for scene text
In 2021, he coauthors ABINet, a scene-text recognizer that separates vision and language-model learning and iteratively corrects recognition predictions.
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2023–2025
National invention award and IEEE Fellowship
In 2023, he ranks first among USTC's contributors to the second-class National Technical Invention Award for all-media content risk control. In 2024, he coauthors USTC-BUPT's SemEval system for machine-generated-text detection; it wins the multilingual track and ranks second in the monolingual track. IEEE names him a Fellow in 2025 for contributions to internet multimedia processing and analysis.
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2026
Social-network simulator project
In 2026, he leads a national scientific-instrument project to build a large-scale controllable social-network simulator, with work scheduled through 2030.
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As of October 2026
Professor and executive dean
He is a professor at USTC and executive dean of its School of Information Science and Technology. He has held the professorship since 2017 and the deanship since 2019.
Career
- Since 2017University of Science and Technology of ChinaProfessor, Executive Dean
- 2023–2025Nanchang University
- 2021–2024Northwest Institute of Nuclear Technology
- 2019–2023China General Nuclear Power Corporation
- 2018–2020Tsinghua Shenzhen International Graduate School
- 2018–2025South China Normal University
- 2014–2017Tsinghua University
- 2014–2017University of Chinese Academy of Sciences
- 2014–2017Nanjing Institute of Geography and Limnology
- 2013–2016Guangdong Province Key Laboratory of Computational Science
- 2009–2016Sun Yat-sen University
- 2002–2017Chinese Academy of SciencesAssistant, Associate, and Full Researcher
Education
- 2002Tianjin UniversityDoctorate
- Dalian University of TechnologyBachelor's and Master's degrees
Sources and credits
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- 中国科学技术大学 zhangyongdong--Home--Home
- Key Technologies of Internet Data Intelligent Security Analysis and Detection
- Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition
- USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM Embeddings
- IEEE 2025新晋Fellow名单正式公布


