Kengo Tajiri

20 papers A* 1A 1B 4Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
ChaosEater: Fully Automating Chaos Engineering with Large Language Models.
CoRR
Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri, Yuusuke Nakano
2025 A* conf
LLM-Powered Fully Automated Chaos Engineering: Towards Enabling Anyone to Build Resilient Software Systems at Low Cost.
ASE
Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri
2025 J jnl
LLM-Powered Fully Automated Chaos Engineering: Towards Enabling Anyone to Build Resilient Software Systems at Low Cost.
CoRR
Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri
2025 J jnl
Optimization of Data and Model Transfer for Federated Learning to Manage Large-Scale Network.
IEEE Trans. Netw. Serv. Manag.
Kengo Tajiri, Ryoichi Kawahara
2024 — conf
Adversarial Deep Domain Adaptation Method for Unsupervised Anomaly Detection.
6GNet
Yoichi Matsuo, Kengo Tajiri
2024 — conf
Collision Detection for Robot Arm Assisted with Digital Twin System.
AIM
Kengo Tajiri, Takuya Iwamoto
2024 J jnl
Electric Vehicle Routing Problem for Emergency Power Supply: Towards Telecom Base Station Relief.
CoRR
Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri, Yuta Toyama, Masaki Nakamura, Yuusuke Nakano
2024 A conf
Electric Vehicle Routing for Emergency Power Supply with Deep Reinforcement Learning.
AAMAS
Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri, Yuta Toyama, Masaki Nakamura, Yuusuke Nakano
2024 — conf
Optimizing IoT Data Collection for Federated Learning Under Constraint of Wireless Bandwidth.
ICC
Kengo Tajiri, Ryoichi Kawahara
2024 — conf
RouteExplainer: An Explanation Framework for Vehicle Routing Problem.
PAKDD (3)
Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri, Yuusuke Nakano
2024 J jnl
RouteExplainer: An Explanation Framework for Vehicle Routing Problem.
CoRR
Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri, Yuusuke Nakano
2024 — conf
Vehicle Traffic Density Estimation with Deep Learning for Predicting Communication Traffic Volume by Vehicle Communication Services.
VTC Fall
Yoshie Morita, Kengo Tajiri, Yoichi Matsuo
2023 B conf
Data Transfer for Balancing Model Convergence and Training Time in Federated Learning.
GLOBECOM
Kengo Tajiri, Ryoichi Kawahara
2023 — conf
Optimizing Data Distribution for Federated Learning Under Bandwidth Constraint.
ICC
Kengo Tajiri, Ryoichi Kawahara
2023 J jnl
Optimizing Edge-Cloud Cooperation for Machine Learning Accuracy Considering Transmission Latency and Bandwidth Congestion.
IEICE Trans. Commun.
Kengo Tajiri, Ryoichi Kawahara, Yoichi Matsuo
2022 B conf
Optimizing Edge-Cloud Cooperation for Machine Learning Accuracy Considering Transmission Latency and Bandwidth Congestion.
NOMS
Kengo Tajiri, Ryoichi Kawahara, Yoichi Matsuo
2021 B conf
Fault Detection of ICT systems with Deep Learning Model for Missing Data.
IM
Kengo Tajiri, Tomoharu Iwata, Yoichi Matsuo, Keishiro Watanabe
2020 B conf
Dividing Deep Learning Model for Continuous Anomaly Detection of Inconsistent ICT Systems.
NOMS
Kengo Tajiri, Yasuhiro Ikeda, Yuusuke Nakano, Keishiro Watanabe
2020 J jnl
Dividing Deep Learning Model for Continuous Anomaly Detection of Inconsistent ICT Systems.
CoRR
Kengo Tajiri, Yasuhiro Ikeda, Yuusuke Nakano, Keishiro Watanabe
2018 J jnl
Estimation of Dimensions Contributing to Detected Anomalies with Variational Autoencoders.
CoRR
Yasuhiro Ikeda, Kengo Tajiri, Yuusuke Nakano, Keishiro Watanabe, Keisuke Ishibashi