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个人简介
Shiyuan Yin received the bachelor’s degree in integrated circuit design and integrated systems from the University of Electronic Science and Technology. He is currently pursuing the Ph.D. degree with the High-Speed Circuit and Neural Network Laboratory, Institute of Semiconductors, Chinese Academy of Sciences. His research focuses on advanced information technology, specifically in the fields of computer science and artificial intelligence. His research interests include the application of reinforcement learning techniques to heuristic optimization algorithms, aiming to improve their efficiency by learning optimization algorithm features; investigates the use of large neighborhood search algorithms for solving learning parity with noise (LPN) problems, with the objective of enhancing the problem-solving capabilities; and the challenging task of PCB routing, where he combines deep learning and heuristic algorithms to develop an intelligent solution. This research aims to overcome the limitations of current routing methods, which often require manual intervention and waste valuable human resources.
研究兴趣
论文共 5 篇作者统计合作学者相似作者
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IEEE Access (2023): 113712-113725
Complex & Intelligent Systemsno. 5 (2023): 5585-5609
Shiyuan Yin, Min Jin
Research Square (Research Square) (2023)
ACAI '21: Proceedings of the 2021 4th International Conference on Algorithms, Computing and Artificial Intelligencepp.1-6, (2021)
作者统计
#Papers: 2
#Citation: 0
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