| HCTI at SemEval-2017 Task 1: Use convolutional neural network to evaluate Semantic Textual Similarity Y SHAO Association for Computational Linguistics (ACL) - SemEval, 2017 | 97 | 2017 |
| Underwater and airborne monitoring of marine ecosystems and debris JI Watanabe, Y Shao, N Miura Journal of Applied Remote Sensing 13 (4), 044509, 2019 | 60 | 2019 |
| A three-dimensional coupling method for fluid-structure interaction problems by using explicit MPS method and Hamiltonian MPS method Y Shao, T Yamakawa, T Kikuchi, K Shibata, S Koshizuka Trans JSCES 20130004, 2013 | 18* | 2013 |
| A Hamiltonian MPS formulation for Reissner-Mindlin shell Y Shao, H Ito, K Shibata, S Koshizuka Transactions of the Japan Society for Computational Engineering and Science, 2012 | 5* | 2012 |
| Mask Atari for deep reinforcement learning as POMDP benchmarks Y Shao, Q Kong, T Matsumura, T Fuji, K Ito, H Mizuno arXiv preprint arXiv:2203.16777, 2022 | 3 | 2022 |
| A simple neural network for evaluating semantic textual similarity S Yang IJCAI Workshop on Semantic Machine Learning (SMLL), 2017 | 1 | 2017 |
| Denoising Low-dose Images Using Deep Learning of Time Series Images Y Shao, T Yaguchi, T Tanigaki arXiv preprint arXiv:2404.00510, 2024 | | 2024 |
| Response Style Characterization for Repeated Measures Using the Visual Analogue Scale S Minusa, T Matsumura, K Esaki, Y Shao, C Yoshimura, H Mizuno arXiv preprint arXiv:2403.10136, 2024 | | 2024 |
| Active Inference With Empathy Mechanism for Socially Behaved Artificial Agents in Diverse Situations T Matsumura, K Esaki, S Yang, C Yoshimura, H Mizuno Artificial Life, 1-21, 2023 | | 2023 |
| Dynamical Perception-Action Loop Formation with Developmental Embodiment for Hierarchical Active Inference K Esaki, T Matsumura, S Minusa, Y Shao, C Yoshimura, H Mizuno International Workshop on Active Inference, 14-28, 2023 | | 2023 |
| The impact of individual information exchange strategies on the distribution of social wealth Y Shao, H Atsumori, T Matsumura, K Esaki, S Minusa, H Mizuno arXiv preprint arXiv:2304.00514, 2023 | | 2023 |
| Learning to run a power network by using reinforcement learning Y Shao The Annual Meeting of The Institute of Electrical Engineers of Japan, Tokyo …, 2020 | | 2020 |
| Information processing method and system using neural network, and its construction system Y Shao JP Patent JP2,019,204,268 A, 2019 | | 2019 |
| Information processing apparatus and information processing system Y Shao, Y Kobayashi JP Patent JP2,019,133,563 A, 2019 | | 2019 |
| Article providing order control system and method Y Shao, Y Kobayashi JP Patent JP2,017,219,982 A, 2017 | | 2017 |
| Computing machine and analytical index calculation method Y Shao, S Tarumi JP Patent JP2,017,151,614 A, 2017 | | 2017 |
| Computer system and graphical model correction method Y Shao, T Miyoshi, Y Hasegawa, H Ban WO Patent WO2016121054A1, 2016 | | 2016 |
| Computer system and graphical model management method Y Shao, T Miyoshi, Y Hasegawa, H Ban WO Patent WO2016121053A1, 2016 | | 2016 |
| Predicting incidence rate of diabetes mellitus from health checkup data Y Shao, S Tarumi, T Miyoshi, Y Hasegawa, H Ban International Joint Conference on Artificial Intelligence (IJCAI) 2016 …, 2016 | | 2016 |
| Evaluating the Uncertainty of a Bayesian Network Query Response by Using Joint Probability Distribution Y Shao, T Miyoshi, Y Hasegawa, H Ban IEEE 14th International Conference on Machine Learning and Applications …, 2015 | | 2015 |
