Rchr
J-GLOBAL ID:201801011142870495   Update date: Nov. 18, 2024

Gao Shangce

コウ ショウサク | Gao Shangce
Affiliation and department:
Homepage URL  (1): https://toyamaailab.github.io
Research field  (4): Biological, health, and medical informatics ,  Mathematical informatics ,  Intelligent informatics ,  Soft computing
Research keywords  (8): Artificial Intelligence ,  Computational Intelligence ,  Deep Learning ,  Evolutionary Computation ,  知能情報 ,  Machine Learning ,  Neural Network ,  Medical Engineering
Research theme for competitive and other funds  (3):
  • 2022 - 2025 Toward next-generation flexible and interpretable deep learning: A novel evolutionary wide dendritic learning
  • 2019 - 2022 Next-Generation Ultrasonic Beamformer with Innovative Transducer and Deep Learning
  • 2017 - 2019 Improving evolutionary algorithms from population structures and interaction networks
Papers (325):
  • Zhen Li, Kaiyu Wang, Chenxi Xue, Haotian Li, Yuki Todo, Zhenyu Lei, Shangce Gao. Differential evolution with ring sub-population architecture for optimization. Knowledge-Based Systems. 2024
  • Jiatianyi Yu, Kaiyu Wang, Zhenyu Lei, Jiujun Cheng, Shangce Gao. Serial multilevel-learned differential evolution with adaptive guidance of exploration and exploitation. Expert Systems with Applications. 2024
  • Yang Yang, Yuchao Gao, Zhe Ding, Jinran Wu, Shaotong Zhang, Feifei Han, Xuelan Qiu, Shangce Gao, You-Gan Wang. Advancements in Q-learning meta-heuristic optimization algorithms: A survey. WIREs Data Mining and Knowledge Discovery. 2024
  • Zhenyu Lei, Shangce Gao, Hideyuki Hasegawa, Zhiming Zhang, Mengchu Zhou, Khaled Sedraoui. Fully Complex-Valued Gated Recurrent Neural Network for Ultrasound Imaging. IEEE Transactions on Neural Networks and Learning Systems. 2024
  • Zhiming Zhang, Zhenyu Lei, MengChu Zhou, Hideyuki Hasegawa, Shangce Gao. Complex-Valued Convolutional Gated Recurrent Neural Network for Ultrasound Beamforming. IEEE Transactions on Neural Networks and Learning Systems. 2024
more...
Professional career (1):
  • 博士(工学)
Work history (1):
  • 2014/04 - 現在 University of Toyama
Association Membership(s) (3):
THE INSTITUTE OF ELECTRICAL ENGINEERS OF JAPAN ,  THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS ,  IEEE
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