Professor Peng Yuxin from Peking University Elected as IEEE Fellow for 2026

time：2025-12-08

November 27, 2025 — The Institute of Electrical and Electronics Engineers (IEEE) has announced its list of 2026 Fellow recipients, and Professor Peng Yuxin of Peking University has been honored with this distinction for his contributions to cross-media analytical systems and fine-grained visual recognition.

Professor Peng Yuxin is the Boya Distinguished Professor at Peking University, and Fellows of IEEE, CAAI, CIE, and CSIG. He was a recipient of the National Science Fund for Distinguished Young Scholars in 2019 and its continued funding in 2025. He has been recognized as a leading talent in technological innovation under the National Ten Thousand Talents Program.

With research focusing on multimedia analysis, computer vision, and artificial intelligence, Professor Peng has won the First Prize of the Beijing Science and Technology Award in 2016 and the First Prize of the Scientific and Technological Progress Award of the Chinese Institute of Electronics in 2020 as the lead recipient. He has led over 40 major projects, including a National High-Tech R&D Program, two Key Programs of the National Natural Science Foundation of China, and a Key Project of Joint Fund of Beijing Natural Science Foundation.

Professor Peng has published over 260 papers, including more than 160 papers in top-tier journals and conference proceedings, including TPAMI, IJCV, CVPR, NeurIPS, and ICML, receiving two Best Paper Awards. He has been consistently listed in the global top 2% of scientists by citation impact (2021–2024) and recognized as a Highly Cited Chinese Researcher by Elsevier (2020–2024).

He led his team to win first place in the TRECVID video search competition for ten consecutive years, competing against teams from institutions such as Stanford University, Carnegie Mellon University, and the University of Oxford. His research outcomes have been applied by key national agencies and leading enterprises, including Huawei, Tencent, Alibaba, Kuaishou, Meituan, Nio, China Telecom, and China Tower.

Professor Peng’s pioneering work addresses critical challenges in cross-media analysis, proposing innovative solutions for cross-media content understanding and generation. He pioneered the new research direction of "Weakly Supervised Fine-Grained Image Classification", with a single paper on this topic that has received 1,116 Google Scholar citations and been acclaimed by international peers as “the first work” and “great progress”. His team has developed five datasets and benchmarks, which have been widely adopted by over 300 research institutions, including Stanford University, MIT, Google, and Microsoft, leading the research direction of cross-media analysis.