Corrections of the NIST Statistical Test Suite for Randomness. - Song-Ju Kim; Ken Umeno; Akio Hasegawa (IACR Cryptol. ePrint Arch., 2004)

FPGA implementation of EASI algorithm. - Song-Ju Kim; Ken Umeno; Ryo Takahashi (IEICE Electron. Express, 2007)

Chaos-based communication systems using on-line ICA algorithm. - Song-Ju Kim; Ken Umeno (IEICE Electron. Express, 2008)

Tug-Of-War Model for Two-Bandit Problem. - Song-Ju Kim; Masashi Aono; Masahiko Hara (UC, 2009)

Tug-of-War Model for Multi-armed Bandit Problem. - Song-Ju Kim; Masashi Aono; Masahiko Hara (UC, 2010)

Tug-of-war model for the two-bandit problem: Nonlocally-correlated parallel exploration via resource conservation. - Song-Ju Kim; Masashi Aono; Masahiko Hara (Biosyst., 2010)

Two-Dimensional Nonlinear Fabry-Perot Interferometer: An Unconventional Computing Substrate for Maze Exploration and Logic Gate Operation. - Youichi Okabayashi; Takashi Isoshima; Etsushi Nameda; Song-Ju Kim; Masahiko Hara (Int. J. Nanotechnol. Mol. Comput., 2011)

Amoeba-based computing for traveling salesman problem: Long-term correlations between spatially separated individual cells of Physarum polycephalum. - Liping Zhu; Masashi Aono; Song-Ju Kim; Masahiko Hara (Biosyst., 2013)

Nanoscale Photonic Network for Solution Searching and Decision Making Problems. - Makoto Naruse; Masashi Aono; Song-Ju Kim (IEICE Trans. Commun., 2013)

Amoeba-inspired Tug-of-War algorithms for exploration-exploitation dilemma in extended Bandit Problem. - Masashi Aono; Song-Ju Kim; Masahiko Hara; Toshinori Munakata (Biosyst., 2014)

Efficient Decision-Making by Volume-Conserving Physical Object. - Song-Ju Kim; Masashi Aono; Etsushi Nameda (CoRR, 2014)

Decision Maker using Coupled Incompressible-Fluid Cylinders. - Song-Ju Kim; Masashi Aono (CoRR, 2015)

Harnessing Natural Fluctuations: Analogue Computer for Efficient Socially Maximal Decision Making. - Song-Ju Kim; Makoto Naruse; Masashi Aono (CoRR, 2015)

Decision Maker based on Atomic Switches. - Song-Ju Kim; Tohru Tsuruoka; Tsuyoshi Hasegawa; Masakazu Aono (CoRR, 2015)

Single photon in hierarchical architecture for physical reinforcement learning: Photon intelligence. - Makoto Naruse; Martin Berthel; Aurélien Drezet; Serge Huant; Hirokazu Hori; Song-Ju Kim (CoRR, 2016)

Category theoretic analysis of single-photon decision maker. - Makoto Naruse; Song-Ju Kim; Masashi Aono; Martin Berthel; Aurélien Drezet; Serge Huant; Hirokazu Hori (CoRR, 2016)

Ultrafast photonic reinforcement learning based on laser chaos. - Makoto Naruse; Yuta Terashima; Atsushi Uchida; Song-Ju Kim (CoRR, 2017)

Memory Effect on Adaptive Decision Making with a Chaotic Semiconductor Laser. - Takatomo Mihana; Yuta Terashima; Makoto Naruse; Song-Ju Kim; Atsushi Uchida (Complex., 2018)

Performance in Multi-Armed Bandit Tasks in Relation to Ambiguity-Preference Within a Learning Algorithm. - Song-Ju Kim; Taiki Takahashi (Frontiers Appl. Math. Stat., 2018)

Category Theoretic Analysis of Photon-Based Decision Making. - Makoto Naruse; Song-Ju Kim; Masashi Aono; Martin Berthel; Aurélien Drezet; Serge Huant; Hirokazu Hori (Int. J. Inf. Technol. Decis. Mak., 2018)

A Machine-Learning-Based Channel Assignment Algorithm for IoT. - Jing Ma; Tomoya Nagatsuma; Song-Ju Kim; Mikio Hasegawa (ICAIIC, 2019)

Reinforcement Learning System Comprising Resistive Analog Neuromorphic Devices. - Song-Ju Kim; Kaori Ohkoda; Masashi Aono; Hisashi Shima; Makoto Takahashi; Yasuhisa Naitoh; Hiroyuki Akinaga (IRPS, 2019)

Performance Evaluation of Machine Learning Based Channel Selection Algorithm Implemented on IoT Sensor Devices in Coexisting IoT Networks. - So Hasegawa; Song-Ju Kim; Yozo Shoji; Mikio Hasegawa (CCNC, 2020)

Performance Evaluation of Machine Learning Based Channel Selection Algorithm Implemented on IoT Sensor Devices and Its Application to Wireless Sensor Network for Building Monitoring System. - So Hasegawa; Ryoma Kitagawa; Takumi Ito; Takashi Nakajima; Song-Ju Kim; Yozo Shoji; Mikio Hasegawa (ICAIIC, 2020)

A Channel Selection Algorithm Using Reinforcement Learning for Mobile Devices in Massive IoT System. - Honami Furukawa; Aohan Li; Yozo Shoji; Yoshito Watanabe; Song-Ju Kim; Koya Sato; Yiannis Andreopoulos; Mikio Hasegawa (CCNC, 2021)

A Lightweight Decentralized Reinforcement Learning Based Channel Selection Approach for High-Density LoRaWAN. - Aohan Li; Minoru Fujisawa; Ikumi Urabe; Ryoma Kitagawa; Song-Ju Kim; Mikio Hasegawa (DySPAN, 2021)

A Balance for Fairness: Fair Distribution Utilising Physics in Games of Characteristic Function Form. - Song-Ju Kim; Taiki Takahashi; Kazuo Sano (CoRR, 2021)

Resource allocation method using tug-of-war-based synchronization. - Song-Ju Kim; Hiroyuki Yasuda; Ryoma Kitagawa; Mikio Hasegawa (CoRR, 2021)

Performance Evaluation of Reinforcement Learning Based Distributed Channel Selection Algorithm in Massive IoT Networks. - Daisuke Yamamoto; Honami Furukawa; Aohan Li; Yusuke Ito; Koya Sato; Koji Oshima; So Hasegawa; Yoshito Watanabe; Yozo Shoji; Song-Ju Kim; Mikio Hasegawa (IEEE Access, 2022)

A Lightweight Transmission Parameter Selection Scheme Using Reinforcement Learning for LoRaWAN. - Aohan Li; Ikumi Urabe; Minoru Fujisawa; So Hasegawa; Hiroyuki Yasuda; Song-Ju Kim; Mikio Hasegawa (CoRR, 2022)

Design and Implementation of Decentralized TDMA for Low Power IoT Devices Based on Desynchronization of Nonlinear Oscillators. - Takuma Osada; Hiroyuki Yasuda; Aohan Li; Song-Ju Kim; Mikio Hasegawa (ICAIIC, 2023)

Combinatorial MAB-Based Joint Channel and Spreading Factor Selection for LoRa Devices. - Ikumi Urabe; Aohan Li; Minoru Fujisawa; Song-Ju Kim; Mikio Hasegawa (Sensors, 2023)

An efficient beaconing of bluetooth low energy by decision making algorithm. - Minoru Fujisawa; Hiroyuki Yasuda; Ryosuke Isogai; Maki Arai; Yoshifumi Yoshida; Aohan Li; Song-Ju Kim; Mikio Hasegawa (Discov. Artif. Intell., 2024)