Exception Handling and Real Time Features in an Object-Oriented Concurrent Language. - Yuuji Ichisugi; Akinori Yonezawa (Concurrency: Theory, Language, And Architecture, 1989)

Object-Oriented Concurrent Reflective Architectures. - Satoshi Matsuoka; Takuo Watanabe; Yuuji Ichisugi; Akinori Yonezawa (Object-Based Concurrent Computing, 1991)

Distributed Garbage Collection Using Group Reference Counting. - Yuuji Ichisugi; Akinori Yonezawa (Software Science and Engineering, 1991)

Multi-tasking Method on Parallel Computers which Combines a Contiguous and Non-contiguous Processor Partitioning Algorithm. - Kuniyasu Suzaki; Hitoshi Tanuma; Satoshi Hirano; Yuuji Ichisugi; Chris Connelly; Michiharu Tsukamoto (PARA, 1996)

The Extensible Java Preprocessor Kit and a Tiny Data-Parallel Java. - Yuuji Ichisugi; Yves Roudier (ISCOPE, 1997)

Design of Combination of Time Sharing and Space Sharing For Parallel Task Scheduling. - Kuniyasu Suzaki; Hitoshi Tanuma; Yuuji Ichisugi (PDPTA, 1997)

MixJuice (poster session): an object-oriented language with simple and powerful module mechanism. - Yuuji Ichisugi (OOPSLA Addendum, 2000)

Difference-Based Modules: A Class-Independent Module Mechanism. - Yuuji Ichisugi; Akira Tanaka (ECOOP, 2002)

A Cerebral Cortex Model that Self-Organizes Conditional Probability Tables and Executes Belief Propagation. - Yuuji Ichisugi (IJCNN, 2007)

Computational Model of the Cerebral Cortex That Performs Sparse Coding Using a Bayesian Network and Self-Organizing Maps. - Yuuji Ichisugi; Haruo Hosoya (ICONIP (1), 2010)

Recognition model of cerebral cortex based on approximate belief revision algorithm. - Yuuji Ichisugi (IJCNN, 2011)

A Computational Model of Motor Areas Based on Bayesian Networks and Most Probable Explanations. - Yuuji Ichisugi (ICANN (1), 2012)

An efficient recognition algorithm for restricted bayesian networks. - Yuuji Ichisugi; Naoto Takahashi (IJCNN, 2015)

Regularization Methods for the Restricted Bayesian Network BESOM. - Yuuji Ichisugi; Takashi Sano 002 (ICONIP (1), 2016)

Restricted Quasi Bayesian Networks as a Prototyping Tool for Computational Models of Individual Cortical Areas. - Naoto Takahashi; Yuuji Ichisugi (AMBN, 2017)

Context-Dependent Robust Text Recognition using Large-scale Restricted Bayesian Network. - Hidemoto Nakada; Yuuji Ichisugi (BICA, 2017)

Translation-Invariant Neural Responses as Variational Messages in a Bayesian Network Model. - Takashi Sano 002; Yuuji Ichisugi (ICANN (1), 2017)

Hierarchical Reinforcement Learning with Unlimited Recursive Subroutine Calls. - Yuuji Ichisugi; Naoto Takahashi; Hidemoto Nakada; Takashi Sano 002 (ICANN (2), 2019)

Stochastic Neural Variational Learning of Noisy-OR Bayesian Networks for Images. - Takashi Sano 002; Yuuji Ichisugi (ICAAI, 2021)