Improving Resource Utilization in Data Centers using an LSTM-based Prediction Model. - Kundjanasith Thonglek; Kohei Ichikawa; Keichi Takahashi; Hajimu Iida; Chawanat Nakasan (CLUSTER, 2019)

IVAA: Intelligent Vehicle Accident Analysis System. - Kundjanasith Thonglek; Norawit Urailertprasert; Patchara Pattiyathanee; Chantana Chantrapornchai (JCSSE, 2019)

Abnormal Gait Recognition in Real-Time using Recurrent Neural Networks. - Thanaporn Jinnovart; Xiongcai Cai; Kundjanasith Thonglek (CDC, 2020)

Federated Learning of Neural Network Models with Heterogeneous Structures. - Kundjanasith Thonglek; Keichi Takahashi; Kohei Ichikawa; Hajimu Iida; Chawanat Nakasan (ICMLA, 2020)

Retraining Quantized Neural Network Models with Unlabeled Data. - Kundjanasith Thonglek; Keichi Takahashi; Kohei Ichikawa; Chawanat Nakasan; Hidemoto Nakada; Ryousei Takano; Hajimu Iida (IJCNN, 2020)

A nudge-based smart system for hand hygiene promotion in private organizations: poster abstract. - Sopicha Stirapongsasuti; Kundjanasith Thonglek; Shinya Misaki; Bunyapon Usawalertkamol; Yugo Nakamura; Keiichi Yasumoto (SenSys, 2020)

INSHA: Intelligent Nudging System for Hand Hygiene Awareness. - Sopicha Stirapongsasuti; Kundjanasith Thonglek; Shinya Misaki; Yugo Nakamura; Keiichi Yasumoto (IVA, 2021)

Sparse Communication for Federated Learning. - Kundjanasith Thonglek; Keichi Takahashi; Kohei Ichikawa; Chawanat Nakasan; Pattara Leelaprute; Hajimu Iida (ICFEC, 2022)

Automated Quantization and Retraining for Neural Network Models Without Labeled Data. - Kundjanasith Thonglek; Keichi Takahashi; Kohei Ichikawa; Chawanat Nakasan; Hidemoto Nakada; Ryousei Takano; Pattara Leelaprute; Hajimu Iida (IEEE Access, 2022)

Benchmarks for Job Scheduling in Ultra-Distributed Systems. - Kundjanasith Thonglek; Chonho Lee; Hirotake Abe; Arata Endo; Takahiro Hirofuchi; Ryousei Takano; Kohei Taniguchi; Susumu Date (Mid4CC@Middleware, 2023)

Toward Predictive Modeling of Solar Power Generation for Multiple Power Plants. - Kundjanasith Thonglek; Kohei Ichikawa; Keichi Takahashi; Chawanat Nakasan; Kazufumi Yuasa; Tadatoshi Babasaki; Hajimu Iida (IEICE Trans. Commun., 2023)

An Enhanced Credit-Based Shaper for Resilience to Time-Sync Misalignment. - Kohei Taniguchi; Arata Endo; Hirotake Abe; Chonho Lee; Kundjanasith Thonglek; Wassapon Watanakeesuntorn; Junya Yamamoto; Susumu Date (e-Science, 2024)

Hierarchical Federated Learning for Predicting Water Levels: A Case Study in Thailand. - Kundjanasith Thonglek; Arnan Maipradit (ICCAE, 2024)

On the Use of Agentic Coding Manifests: An Empirical Study of Claude Code. - Worawalan Chatlatanagulchai; Kundjanasith Thonglek; Brittany Reid; Yutaro Kashiwa; Pattara Leelaprute; Arnon Rungsawang; Bundit Manaskasemsak; Hajimu Iida (CoRR, 2025)