Estimation of Dimensions Contributing to Detected Anomalies with Variational Autoencoders. - Yasuhiro Ikeda; Kengo Tajiri; Yuusuke Nakano; Keishiro Watanabe; Keisuke Ishibashi (CoRR, 2018)

Dividing Deep Learning Model for Continuous Anomaly Detection of Inconsistent ICT Systems. - Kengo Tajiri; Yasuhiro Ikeda; Yuusuke Nakano; Keishiro Watanabe (NOMS, 2020)

Fault Detection of ICT systems with Deep Learning Model for Missing Data. - Kengo Tajiri; Tomoharu Iwata; Yoichi Matsuo; Keishiro Watanabe (IM, 2021)

Optimizing Edge-Cloud Cooperation for Machine Learning Accuracy Considering Transmission Latency and Bandwidth Congestion. - Kengo Tajiri; Ryoichi Kawahara; Yoichi Matsuo (NOMS, 2022)

Data Transfer for Balancing Model Convergence and Training Time in Federated Learning. - Kengo Tajiri; Ryoichi Kawahara (GLOBECOM, 2023)

Optimizing Data Distribution for Federated Learning Under Bandwidth Constraint. - Kengo Tajiri; Ryoichi Kawahara (ICC, 2023)

Adversarial Deep Domain Adaptation Method for Unsupervised Anomaly Detection. - Yoichi Matsuo; Kengo Tajiri (6GNet, 2024)

Collision Detection for Robot Arm Assisted with Digital Twin System. - Kengo Tajiri; Takuya Iwamoto (AIM, 2024)

Electric Vehicle Routing for Emergency Power Supply with Deep Reinforcement Learning. - Daisuke Kikuta; Hiroki Ikeuchi; Kengo Tajiri; Yuta Toyama; Masaki Nakamura; Yuusuke Nakano (AAMAS, 2024)

Optimizing IoT Data Collection for Federated Learning Under Constraint of Wireless Bandwidth. - Kengo Tajiri; Ryoichi Kawahara (ICC, 2024)

RouteExplainer: An Explanation Framework for Vehicle Routing Problem. - Daisuke Kikuta; Hiroki Ikeuchi; Kengo Tajiri; Yuusuke Nakano (PAKDD (3), 2024)

Vehicle Traffic Density Estimation with Deep Learning for Predicting Communication Traffic Volume by Vehicle Communication Services. - Yoshie Morita; Kengo Tajiri; Yoichi Matsuo (VTC Fall, 2024)

Electric Vehicle Routing Problem for Emergency Power Supply: Towards Telecom Base Station Relief. - Daisuke Kikuta; Hiroki Ikeuchi; Kengo Tajiri; Yuta Toyama; Masaki Nakamura; Yuusuke Nakano (CoRR, 2024)

ChaosEater: Fully Automating Chaos Engineering with Large Language Models. - Daisuke Kikuta; Hiroki Ikeuchi; Kengo Tajiri; Yuusuke Nakano (CoRR, 2025)

Optimization of Data and Model Transfer for Federated Learning to Manage Large-Scale Network. - Kengo Tajiri; Ryoichi Kawahara (IEEE Trans. Netw. Serv. Manag., 2025)