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Song-Ju Kim

Ultrafast photonic reinforcement learning based on laser chaos
2017 · Makoto Naruse, Yuta Terashima, et al. · Scientific Reports · 108
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Tug-of-war model for the two-bandit problem: Nonlocally-correlated parallel exploration via resource conservation
2010 · Song-Ju Kim, Masashi Aono, et al. · Biosystems · 91
Corrections of the NIST Statistical Test Suite for Randomness
2004 · Kim, Song-Ju, Umeno, Ken, et al. · arXiv (Cornell University) · 85
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Single-photon decision maker
2015 · Makoto Naruse, Martin Berthel, et al. · Scientific Reports · 82
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Amoeba-Inspired Nanoarchitectonic Computing: Solving Intractable Computational Problems Using Nanoscale Photoexcitation Transfer Dynamics
2013 · Masashi Aono, Makoto Naruse, et al. · Langmuir · 68
Flat-band light dynamics in Stub photonic lattices
2017 · Bastián Real, Camilo Cantillano, et al. · Scientific Reports · 63
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Amoeba-based computing for traveling salesman problem: Long-term correlations between spatially separated individual cells of Physarum polycephalum
2013 · Liping Zhu, Masashi Aono, et al. · Biosystems · 62
Remarkable problem-solving ability of unicellular amoeboid organism and its mechanism
2018 · Liping Zhu, Song-Ju Kim, et al. · Royal Society Open Science · 48
Harnessing the Computational Power of Fluids for Optimization of Collective Decision Making
2016 · Song-Ju Kim, Makoto Naruse, et al. · Philosophies · 41
Amoeba-inspired algorithm for cognitive medium access
2014 · Song-Ju Kim, Masashi Aono · Nonlinear Theory and Its Applications IEICE · 37
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Spatiotemporal dynamics in optical energy transfer on the nanoscale and its application to constraint satisfaction problems
2012 · Makoto Naruse, Masashi Aono, et al. · Physical Review B · 35
Ionic decision-maker created as novel, solid-state devices
2018 · Takashi Tsuchiya, Tohru Tsuruoka, et al. · Science Advances · 34
A Reinforcement-Learning-Based Distributed Resource Selection Algorithm for Massive IoT
2019 · Jing Ma, So Hasegawa, et al. · Applied Sciences · 32
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Improving throughput using multi-armed bandit algorithm for wireless LANs
2017 · Kaori Kuroda, Hiroki Kato, et al. · Nonlinear Theory and Its Applications IEICE · 25
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Single Photon in Hierarchical Architecture for Physical Decision Making: Photon Intelligence
2016 · Makoto Naruse, Martin Berthel, et al. · ACS Photonics · 25
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Tug-of-War Model for Multi-armed Bandit Problem
2010 · Song-Ju Kim, Masashi Aono, et al. · Lecture notes in computer science · 23
Memory Effect on Adaptive Decision Making with a Chaotic Semiconductor Laser
2018 · Takatomo Mihana, Yuta Terashima, et al. · Complexity · 22
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Multi-Armed-Bandit Based Channel Selection Algorithm for Massive Heterogeneous Internet of Things Networks
2022 · So Hasegawa, Ryoma Kitagawa, et al. · Applied Sciences · 20
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Performance Evaluation of Reinforcement Learning Based Distributed Channel Selection Algorithm in Massive IoT Networks
2022 · Daisuke Yamamoto, Honami Furukawa, et al. · IEEE Access · 19
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A Machine-Learning-Based Channel Assignment Algorithm for IoT
2019 · Jing Ma, Tomoya Nagatsuma, et al. · International Conference on Artificial Intelligence in Information and Communication (ICAIIC) · 18
Performance Evaluation of Machine Learning Based Channel Selection Algorithm Implemented on IoT Sensor Devices in Coexisting IoT Networks
2020 · So Hasegawa, Song-Ju Kim, et al. · IEEE Consumer Communications and Networking Conference · 16
Chaotic oscillation and random-number generation based on nanoscale optical-energy transfer
2014 · Makoto Naruse, Song-Ju Kim, et al. · Scientific Reports · 15
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Combinatorial MAB-Based Joint Channel and Spreading Factor Selection for LoRa Devices
2023 · Ikumi Urabe, Aohan Li, et al. · Sensors · 14
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A Lightweight Decentralized Reinforcement Learning Based Channel Selection Approach for High-Density LoRaWAN
2021 · Aohan Li, Minoru Fujisawa, et al. · IEEE International Symposium on Dynamic Spectrum Access Networks · 14
Online machine learning algorithms to optimize performances of complex wireless communication systems
2021 · Koji Oshima, Daisuke Yamamoto, et al. · Mathematical Biosciences & Engineering · 12
Works count: 123
Citation count: 1,227
H-index: 19
I10-index: 29
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