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个人简介
Professor Zhang Yin's main research areas are optimization algorithm design, analysis, implementation, as well as various practical applications and corresponding computer software development. Two examples may show his academic achievements. First, one of the most important advances in the field of optimization algorithms in the last thirty years is the study of interior point method. This method has become the most reliable and accurate algorithm to solve the general convex optimization problem. Professor Zhang has made a series of world-leading works in the research of inner point method, including the first inner point method super linear convergence velocity theory and the non-feasible point iterative convergence theory and other major theoretical breakthroughs. On the other hand, LIPSOL, the linear programming software he designed and developed, was selected as the official software by MATLAB, the most authoritative scientific and engineering computing platform, and the copyright was purchased, which was widely used by thousands of MATLAB users around the world for a long time. Second, for more than a decade, the team led by Professor Zhang Yin has made world-leading achievements in image and signal processing algorithms and data compressed sensing algorithms, among which the number of citations of the three most influential papers has reached an average of over 1,000 times in 2017.
研究兴趣
论文共 219 篇作者统计合作学者相似作者
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INTERNATIONAL JOURNAL OF SOCIAL WELFAREno. 2 (2024): 457-470
Neural Networks (2024): 106269-106269
CoRR (2023)
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Xinrui Wang,Xiumei Chi,Yingyu Zhang, Yumei Gu, Long Xiao,Yonghe Qi,Liangfeng Zou, Jiaying Wen,Yin Zhang,Pan Chen,Cong Lei, Bin Ye,
COMPUTATIONAL OPTIMIZATION AND APPLICATIONSno. 3 (2023): 1033-1072
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