Design and analysis for ThruChip design for manufacturing (DFM). - Li-Chung Hsu; Yasuhiro Take; Atsutake Kosuge; So Hasegawa; Junichiro Kadamoto; Tadahiro Kuroda (ASP-DAC, 2015)

Inductively-powered wireless solid-state drive (SSD) system with merged error correction of high-speed non-contact data links and NAND flash memory. - Atsutake Kosuge; Junki Hashiba; Toru Kawajiri; So Hasegawa; Tsunaaki Shidei; Hiroki Ishikuro; Tadahiro Kuroda; Ken Takeuchi (VLSIC, 2015)

A Study of Physical Design Guidelines in ThruChip Inductive Coupling Channel. - Li-Chung Hsu; Junichiro Kadomoto; So Hasegawa; Atsutake Kosuge; Yasuhiro Take; Tadahiro Kuroda (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015)

Analytical thruchip inductive coupling channel design optimization. - Li-Chung Hsu; Junichiro Kadomoto; So Hasegawa; Atsutake Kosuge; Yasuhiro Take; Tadahiro Kuroda (ASP-DAC, 2016)

A 1 Tb/s/mm2 inductive-coupling side-by-side chip link. - So Hasegawa; Junichiro Kadomoto; Atsutake Kosuge; Tadahiro Kuroda (ESSCIRC, 2016)

Analysis and Evaluation of Electromagnetic Interference between ThruChip Interface and LC-VCO. - Junichiro Kadomoto; So Hasegawa; Yusuke Kiuchi; Atsutake Kosuge; Tadahiro Kuroda (IEICE Trans. Electron., 2016)

An Inductively Powered Wireless Solid-State Drive System With Merged Error Correction of High-Speed Wireless Data Links and NAND Flash Memories. - Atsutake Kosuge; Junki Hashiba; Toru Kawajiri; So Hasegawa; Tsunaaki Shidei; Hiroki Ishikuro; Tadahiro Kuroda; Ken Takeuchi (IEEE J. Solid State Circuits, 2016)

Machine Learning Classification Methods using Data of 3-axis Acceleration Sensors equipped with Wireless Communication Means for Locating Wooden House Structural Damage. - Ryota Tanida; Jing Ma; Takashi Nakajima; Mikio Hasegawa; Takahiro Yamamoto; Takumi Ito; Takayuki Kawahara; Atsushi Yamamoto; Noriaki Takahashi; Natsuhiko Sakiyama; Sakuya Kishi; Takayuki Kishimoto; et al. (APCCAS, 2019)

Performance Evaluation of Machine Learning Based Channel Selection Algorithm Implemented on IoT Sensor Devices in Coexisting IoT Networks. - So Hasegawa; Song-Ju Kim; Yozo Shoji; Mikio Hasegawa (CCNC, 2020)

Performance Evaluation of Machine Learning Based Channel Selection Algorithm Implemented on IoT Sensor Devices and Its Application to Wireless Sensor Network for Building Monitoring System. - So Hasegawa; Ryoma Kitagawa; Takumi Ito; Takashi Nakajima; Song-Ju Kim; Yozo Shoji; Mikio Hasegawa (ICAIIC, 2020)

Piggy-back Network to Enable Beyond 5G Society Supported by Autonomous Mobilities: Application of MAB Algorithm for Data Synchronization Between Distributed Collaborative Robots. - So Hasegawa; Yoshito Watanabe; Mikio Hasegawa; Yozo Shoji (WPMC, 2021)

Piggy-back Network to enable Beyond 5G Society supported by Autonomous Mobilities: : Evaluation of End-to-End Throughput on Optimized Piggy-back Networks. - Kazuki Kuwata; Yozo Shoji; Mikio Hasegawa; Yusuke Ito; Yoshito Watanabe; Aohan Li; So Hasegawa (WPMC, 2021)

Piggy-back Network to enable Beyond5G Society supported by Autonomous Mobilities: Concept, Key technologies & Prototyping on a Service Robot Platform. - Yozo Shoji; Kiyohide Nakauchi; Yoshito Watanabe; So Hasegawa; Mikio Hasegawa (WPMC, 2021)

Piggy-back Network to Enable Beyond 5G Society Supported by Autonomous Mobilities: Transaction Record Management with DAG-based Distributed Ledger. - Yoshito Watanabe; So Hasegawa; Mikio Hasegawa; Yozo Shoji (WPMC, 2021)

Performance Evaluation of Reinforcement Learning Based Distributed Channel Selection Algorithm in Massive IoT Networks. - Daisuke Yamamoto; Honami Furukawa; Aohan Li; Yusuke Ito; Koya Sato; Koji Oshima; So Hasegawa; Yoshito Watanabe; Yozo Shoji; Song-Ju Kim; Mikio Hasegawa (IEEE Access, 2022)

A Lightweight Transmission Parameter Selection Scheme Using Reinforcement Learning for LoRaWAN. - Aohan Li; Ikumi Urabe; Minoru Fujisawa; So Hasegawa; Hiroyuki Yasuda; Song-Ju Kim; Mikio Hasegawa (CoRR, 2022)

Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve. - Juhan Bae; Michael R. Zhang; Michael Ruan; Eric Wang; So Hasegawa; Jimmy Ba; Roger Baker Grosse (ICLR, 2023)

Improving Predicate Representation in Scene Graph Generation by Self-Supervised Learning. - So Hasegawa; Masayuki Hiromoto; Akira Nakagawa; Yuhei Umeda (WACV, 2023)

Optimization of End-to-End Throughput on Piggyback Network with drone-to-drone millimeter-wave communications. - Tatsuya Aida; So Hasegawa; Maki Arai; Ryosuke Isogai; Yozo Shoji; Mikio Hasegawa (ICOIN, 2024)

AutoDW: Automatic Data Wrangling Leveraging Large Language Models. - Lei Liu 061; So Hasegawa; Shailaja Keyur Sampat; Maria Xenochristou; Wei-Peng Chen; Takashi Kato; Taisei Kakibuchi; Tatsuya Asai (ASE, 2024)