| 2026 | INFOCOM | EP-VLMI: Early-Start Progressive VLM Inference for Fast Responses over Narrow and High-Latency Mobile Networks. | Sohei Itahara, Masaki Suzuki, Takayuki Nishio |
| 2026 | INFOCOM | Demo: Fast and Accurate Responses from Pretrained VLMs via Early-Start Progressive Inference over High-Latency Mobile Networks. | Sohei Itahara, Masaki Suzuki, Takayuki Nishio |
| 2026 | Networking | UE-Density-Aware Multipath Management for System Utility Enhancement of 5G-6G Dualsteer. | Sohei Itahara, Akito Suzuki, Takeo Ogawara, Masaki Suzuki |
| 2024 | NetSoft | Signaling Storm Mitigation by Geographically Distributed C-plane NF Placement and Routing. | Masayuki Kurata, Akio Ikami, Sohei Itahara, Masaki Suzuki |
| 2023 | VTC | Always-Connected Enablement Base Station to eliminate the effects of RRC transitions delay. | Takeo Ogawara, Kenichi Okonogi, Akito Suzuki, Masayuki Kurata, Sohei Itahara, Tomoyuki Nagano, Masaki Suzuki |
| 2022 | VTC | MAB-based Joint Optimization of Wireless LAN and Machine Learning for Communication-efficient Distributed Inference in Lossy Networks. | Kojin Yorita, Sohei Itahara, Takayuki Nishio, Daiki Yoda, Toshihisa Nabetani |
| 2021 | GLOBECOM | Packet-Loss-Tolerant Split Inference for Delay-Sensitive Deep Learning in Lossy Wireless Networks. | Sohei Itahara, Takayuki Nishio, Koji Yamamoto |
| 2020 | GLOBECOM | Online Trainable Wireless Link Quality Prediction System using Camera Imagery. | Sohei Itahara, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto |
| 2020 | VTC | Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning. | Sohei Itahara, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto |